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Going Flat: Challenging Gender, Stigma, and Cure through Lesbian Breast Cancer Experience , Beth Gaines
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Criminalizing LGBTQ+ Jamaicans: Social, Legal, and Colonial Influences on Homophobic Policy , Zoe C. Knowles
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Transfat Representation , Jessica "Fyn" Asay
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Ain't I a Woman, Too? Depictions of Toxic Femininity, Transmisogynoir, and Violence on STAR , Sunahtah D. Jones
“The Most Muscular Woman I Have Ever Seen”: Bev FrancisPerformance of Gender in Pumping Iron II: The Women , Cera R. Shain
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Reproducing Intersex Trouble: An Analysis of the M.C. Case in the Media , Jamie M. Lane
Race and Gender in (Re)integration of Victim-Survivors of CSEC in a Community Advocacy Context , Joshlyn Lawhorn
Penalizing Pregnancy: A Feminist Legal Studies Analysis of Purvi Patel's Criminalization , Abby Schneller
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"Mothers like Us Think Differently": Mothers' Negotiations of Virginity in Contemporary Turkey , Asli Aygunes
Surveilling Hate/Obscuring Racism?: Hate Group Surveillance and the Southern Poverty Law Center's "Hate Map" , Mary McKelvie
“Ya I have a disability, but that’s only one part of me”: Formative Experiences of Young Women with Physical Disabilities , Victoria Peer
Resistance from Within: Domestic violence and rape crisis centers that serve Black/African American populations , Jessica Marie Pinto
(Dis)Enchanted: (Re)constructing Love and Creating Community in the , Shannon A. Suddeth
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"The Afro that Ate Kentucky": Appalachian Racial Formation, Lived Experience, and Intersectional Feminist Interventions , Sandra Louise Carpenter
“Even Five Years Ago this Would Have Been Impossible:” Health Care Providers’ Perspectives on Trans* Health Care , Richard S. Henry
Tough Guy, Sensitive Vas: Analyzing Masculinity, Male Contraceptives & the Sexual Division of Labor , Kaeleen Kosmo
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Let’s Move! Biocitizens and the Fat Kids on the Block , Mary Catherine Dickman
Interpretations of Educational Experiences of Women in Chitral, Pakistan , Rakshinda Shah
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Incredi-bull-ly Inclusive?: Assessing the Climate on a College Campus , Aubrey Lynne Hall
Her-Storicizing Baldness: Situating Women's Experiences with Baldness from Skin and Hair Disorders , Kasie Holmes
In the (Radical) Pursuit of Self-Care: Feminist Participatory Action Research with Victim Advocates , Robyn L. Homer
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Significance is Bliss: A Global Feminist Analysis of the Liberian Truth and Reconciliation Commission and its Privileging of Americo-Liberian over Indigenous Liberian Women's Voices , Morgan Lea Eubank
Monsters Under the Bed: An Analysis of Torture Scenes in Three Pixar Films , Heidi Tilney Kramer
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Can You Believe She Did THAT?!:Breaking the Codes of "Good" Mothering in 1970s Horror Films , Jessica Michelle Collard
Don't Blame It on My Ovaries: Exploring the Lived Experience of Women with Polycystic Ovarian Syndrome and the Creation of Discourse , Jennifer Lynn Ellerman
Valanced Voices: Student Experiences with Learning Disabilities & Differences , Zoe DuPree Fine
An Interactive Guide to Self-Discovery for Women , Elaine J. Taylor
Selling the Third Wave: The Commodification and Consumption of the Flat Track Roller Girl , Mary Catherine Whitlock
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Beyond Survival: An Exploration of Narrative Healing and Forgiveness in Healing from Rape , Heather Curry
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Gender Trouble In Northern Ireland: An Examination Of Gender And Bodies Within The 1970s And 1980s Provisional Irish Republican Army In Northern Ireland , Jennifer Earles
"You're going to Hollywood"!: Gender and race surveillance and accountability in American Idol contestant's performances , Amanda LeBlanc
From the academy to the streets: Documenting the healing power of black feminist creative expression , Tunisia L. Riley
Developing Feminist Activist Pedagogy: A Case Study Approach in the Women's Studies Department at the University of South Florida , Stacy Tessier
Women in Wargasm: The Politics of Womenís Liberation in the Weather Underground Organization , Cyrana B. Wyker
Theses/Dissertations from 2008 2008
Opportunities for Spiritual Awakening and Growth in Mothering , Melissa J. Albee
A Constant Struggle: Renegotiating Identity in the Aftermath of Rape , Jo Aine Clarke
I am Warrior Woman, Hear Me Roar: The Challenge and Reproduction of Heteronormativity in Speculative Television Programs , Leisa Anne Clark
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Reforming Dance Pedagogy: A Feminist Perspective on the Art of Performance and Dance Education , Jennifer Clement
Narratives of lesbian transformation: Coming out stories of women who transition from heterosexual marriage to lesbian identity , Clare F. Walsh
The Conundrum of Women’s Studies as Institutional: New Niches, Undergraduate Concerns, and the Move Towards Contemporary Feminist Theory and Action , Rebecca K. Willman
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A Feminist Perspective on the Precautionary Principle and the Problem of Endocrine Disruptors under Neoliberal Globalization Policies , Erica Hesch Anstey
Asymptotes and metaphors: Teaching feminist theory , Michael Eugene Gipson
Postcolonial Herstory: The Novels of Assia Djebar (Algeria) and Oksana Zabuzhko (Ukraine): A Comparative Analysis , Oksana Lutsyshyna
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Loving Loving? Problematizing Pedagogies of Care and Chéla Sandoval’s Love as a Hermeneutic , Allison Brimmer
Exploring Women’s Complex Relationship with Political Violence: A Study of the Weathermen, Radical Feminism and the New Left , Lindsey Blake Churchill
The Voices of Sex Workers (prostitutes?) and the Dilemma of Feminist Discourse , Justine L. Kessler
Reconstructing Women's Identities: The Phenomenon Of Cosmetic Surgery In The United States , Cara L. Okopny
Fantastic Visions: On the Necessity of Feminist Utopian Narrative , Tracie Anne Welser
Theses/Dissertations from 2004 2004
The Politics of Being an Egg “Donor” and Shifting Notions of Reproductive Freedom , Elizabeth A. Dedrick
Women, Domestic Abuse, And Dreams: Analyzing Dreams To Uncover Hidden Traumas And Unacknowledged Strengths , Mindy Stokes
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Safe at Home: Agoraphobia and the Discourse on Women’s Place , Suzie Siegel
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Women, Environment and Development: Sub-Saharan Africa and Latin America , Evaline Tiondi
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Research Article
Twenty years of gender equality research: A scoping review based on a new semantic indicator
Contributed equally to this work with: Paola Belingheri, Filippo Chiarello, Andrea Fronzetti Colladon, Paola Rovelli
Roles Conceptualization, Formal analysis, Funding acquisition, Visualization, Writing – original draft, Writing – review & editing
Affiliation Dipartimento di Ingegneria dell’Energia, dei Sistemi, del Territorio e delle Costruzioni, Università degli Studi di Pisa, Largo L. Lazzarino, Pisa, Italy
Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Methodology, Visualization, Writing – original draft, Writing – review & editing
Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Methodology, Software, Visualization, Writing – original draft, Writing – review & editing
* E-mail: [email protected]
Affiliations Department of Engineering, University of Perugia, Perugia, Italy, Department of Management, Kozminski University, Warsaw, Poland
Roles Conceptualization, Formal analysis, Funding acquisition, Writing – original draft, Writing – review & editing
Affiliation Faculty of Economics and Management, Centre for Family Business Management, Free University of Bozen-Bolzano, Bozen-Bolzano, Italy
- Paola Belingheri,
- Filippo Chiarello,
- Andrea Fronzetti Colladon,
- Paola Rovelli
- Published: September 21, 2021
- https://doi.org/10.1371/journal.pone.0256474
- Reader Comments
9 Nov 2021: The PLOS ONE Staff (2021) Correction: Twenty years of gender equality research: A scoping review based on a new semantic indicator. PLOS ONE 16(11): e0259930. https://doi.org/10.1371/journal.pone.0259930 View correction
Gender equality is a major problem that places women at a disadvantage thereby stymieing economic growth and societal advancement. In the last two decades, extensive research has been conducted on gender related issues, studying both their antecedents and consequences. However, existing literature reviews fail to provide a comprehensive and clear picture of what has been studied so far, which could guide scholars in their future research. Our paper offers a scoping review of a large portion of the research that has been published over the last 22 years, on gender equality and related issues, with a specific focus on business and economics studies. Combining innovative methods drawn from both network analysis and text mining, we provide a synthesis of 15,465 scientific articles. We identify 27 main research topics, we measure their relevance from a semantic point of view and the relationships among them, highlighting the importance of each topic in the overall gender discourse. We find that prominent research topics mostly relate to women in the workforce–e.g., concerning compensation, role, education, decision-making and career progression. However, some of them are losing momentum, and some other research trends–for example related to female entrepreneurship, leadership and participation in the board of directors–are on the rise. Besides introducing a novel methodology to review broad literature streams, our paper offers a map of the main gender-research trends and presents the most popular and the emerging themes, as well as their intersections, outlining important avenues for future research.
Citation: Belingheri P, Chiarello F, Fronzetti Colladon A, Rovelli P (2021) Twenty years of gender equality research: A scoping review based on a new semantic indicator. PLoS ONE 16(9): e0256474. https://doi.org/10.1371/journal.pone.0256474
Editor: Elisa Ughetto, Politecnico di Torino, ITALY
Received: June 25, 2021; Accepted: August 6, 2021; Published: September 21, 2021
Copyright: © 2021 Belingheri et al. This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All relevant data are within the manuscript and its supporting information files. The only exception is the text of the abstracts (over 15,000) that we have downloaded from Scopus. These abstracts can be retrieved from Scopus, but we do not have permission to redistribute them.
Funding: P.B and F.C.: Grant of the Department of Energy, Systems, Territory and Construction of the University of Pisa (DESTEC) for the project “Measuring Gender Bias with Semantic Analysis: The Development of an Assessment Tool and its Application in the European Space Industry. P.B., F.C., A.F.C., P.R.: Grant of the Italian Association of Management Engineering (AiIG), “Misure di sostegno ai soci giovani AiIG” 2020, for the project “Gender Equality Through Data Intelligence (GEDI)”. F.C.: EU project ASSETs+ Project (Alliance for Strategic Skills addressing Emerging Technologies in Defence) EAC/A03/2018 - Erasmus+ programme, Sector Skills Alliances, Lot 3: Sector Skills Alliance for implementing a new strategic approach (Blueprint) to sectoral cooperation on skills G.A. NUMBER: 612678-EPP-1-2019-1-IT-EPPKA2-SSA-B.
Competing interests: The authors have declared that no competing interests exist.
Introduction
The persistent gender inequalities that currently exist across the developed and developing world are receiving increasing attention from economists, policymakers, and the general public [e.g., 1 – 3 ]. Economic studies have indicated that women’s education and entry into the workforce contributes to social and economic well-being [e.g., 4 , 5 ], while their exclusion from the labor market and from managerial positions has an impact on overall labor productivity and income per capita [ 6 , 7 ]. The United Nations selected gender equality, with an emphasis on female education, as part of the Millennium Development Goals [ 8 ], and gender equality at-large as one of the 17 Sustainable Development Goals (SDGs) to be achieved by 2030 [ 9 ]. These latter objectives involve not only developing nations, but rather all countries, to achieve economic, social and environmental well-being.
As is the case with many SDGs, gender equality is still far from being achieved and persists across education, access to opportunities, or presence in decision-making positions [ 7 , 10 , 11 ]. As we enter the last decade for the SDGs’ implementation, and while we are battling a global health pandemic, effective and efficient action becomes paramount to reach this ambitious goal.
Scholars have dedicated a massive effort towards understanding gender equality, its determinants, its consequences for women and society, and the appropriate actions and policies to advance women’s equality. Many topics have been covered, ranging from women’s education and human capital [ 12 , 13 ] and their role in society [e.g., 14 , 15 ], to their appointment in firms’ top ranked positions [e.g., 16 , 17 ] and performance implications [e.g., 18 , 19 ]. Despite some attempts, extant literature reviews provide a narrow view on these issues, restricted to specific topics–e.g., female students’ presence in STEM fields [ 20 ], educational gender inequality [ 5 ], the gender pay gap [ 21 ], the glass ceiling effect [ 22 ], leadership [ 23 ], entrepreneurship [ 24 ], women’s presence on the board of directors [ 25 , 26 ], diversity management [ 27 ], gender stereotypes in advertisement [ 28 ], or specific professions [ 29 ]. A comprehensive view on gender-related research, taking stock of key findings and under-studied topics is thus lacking.
Extant literature has also highlighted that gender issues, and their economic and social ramifications, are complex topics that involve a large number of possible antecedents and outcomes [ 7 ]. Indeed, gender equality actions are most effective when implemented in unison with other SDGs (e.g., with SDG 8, see [ 30 ]) in a synergetic perspective [ 10 ]. Many bodies of literature (e.g., business, economics, development studies, sociology and psychology) approach the problem of achieving gender equality from different perspectives–often addressing specific and narrow aspects. This sometimes leads to a lack of clarity about how different issues, circumstances, and solutions may be related in precipitating or mitigating gender inequality or its effects. As the number of papers grows at an increasing pace, this issue is exacerbated and there is a need to step back and survey the body of gender equality literature as a whole. There is also a need to examine synergies between different topics and approaches, as well as gaps in our understanding of how different problems and solutions work together. Considering the important topic of women’s economic and social empowerment, this paper aims to fill this gap by answering the following research question: what are the most relevant findings in the literature on gender equality and how do they relate to each other ?
To do so, we conduct a scoping review [ 31 ], providing a synthesis of 15,465 articles dealing with gender equity related issues published in the last twenty-two years, covering both the periods of the MDGs and the SDGs (i.e., 2000 to mid 2021) in all the journals indexed in the Academic Journal Guide’s 2018 ranking of business and economics journals. Given the huge amount of research conducted on the topic, we adopt an innovative methodology, which relies on social network analysis and text mining. These techniques are increasingly adopted when surveying large bodies of text. Recently, they were applied to perform analysis of online gender communication differences [ 32 ] and gender behaviors in online technology communities [ 33 ], to identify and classify sexual harassment instances in academia [ 34 ], and to evaluate the gender inclusivity of disaster management policies [ 35 ].
Applied to the title, abstracts and keywords of the articles in our sample, this methodology allows us to identify a set of 27 recurrent topics within which we automatically classify the papers. Introducing additional novelty, by means of the Semantic Brand Score (SBS) indicator [ 36 ] and the SBS BI app [ 37 ], we assess the importance of each topic in the overall gender equality discourse and its relationships with the other topics, as well as trends over time, with a more accurate description than that offered by traditional literature reviews relying solely on the number of papers presented in each topic.
This methodology, applied to gender equality research spanning the past twenty-two years, enables two key contributions. First, we extract the main message that each document is conveying and how this is connected to other themes in literature, providing a rich picture of the topics that are at the center of the discourse, as well as of the emerging topics. Second, by examining the semantic relationship between topics and how tightly their discourses are linked, we can identify the key relationships and connections between different topics. This semi-automatic methodology is also highly reproducible with minimum effort.
This literature review is organized as follows. In the next section, we present how we selected relevant papers and how we analyzed them through text mining and social network analysis. We then illustrate the importance of 27 selected research topics, measured by means of the SBS indicator. In the results section, we present an overview of the literature based on the SBS results–followed by an in-depth narrative analysis of the top 10 topics (i.e., those with the highest SBS) and their connections. Subsequently, we highlight a series of under-studied connections between the topics where there is potential for future research. Through this analysis, we build a map of the main gender-research trends in the last twenty-two years–presenting the most popular themes. We conclude by highlighting key areas on which research should focused in the future.
Our aim is to map a broad topic, gender equality research, that has been approached through a host of different angles and through different disciplines. Scoping reviews are the most appropriate as they provide the freedom to map different themes and identify literature gaps, thereby guiding the recommendation of new research agendas [ 38 ].
Several practical approaches have been proposed to identify and assess the underlying topics of a specific field using big data [ 39 – 41 ], but many of them fail without proper paper retrieval and text preprocessing. This is specifically true for a research field such as the gender-related one, which comprises the work of scholars from different backgrounds. In this section, we illustrate a novel approach for the analysis of scientific (gender-related) papers that relies on methods and tools of social network analysis and text mining. Our procedure has four main steps: (1) data collection, (2) text preprocessing, (3) keywords extraction and classification, and (4) evaluation of semantic importance and image.
Data collection
In this study, we analyze 22 years of literature on gender-related research. Following established practice for scoping reviews [ 42 ], our data collection consisted of two main steps, which we summarize here below.
Firstly, we retrieved from the Scopus database all the articles written in English that contained the term “gender” in their title, abstract or keywords and were published in a journal listed in the Academic Journal Guide 2018 ranking of the Chartered Association of Business Schools (CABS) ( https://charteredabs.org/wp-content/uploads/2018/03/AJG2018-Methodology.pdf ), considering the time period from Jan 2000 to May 2021. We used this information considering that abstracts, titles and keywords represent the most informative part of a paper, while using the full-text would increase the signal-to-noise ratio for information extraction. Indeed, these textual elements already demonstrated to be reliable sources of information for the task of domain lexicon extraction [ 43 , 44 ]. We chose Scopus as source of literature because of its popularity, its update rate, and because it offers an API to ease the querying process. Indeed, while it does not allow to retrieve the full text of scientific articles, the Scopus API offers access to titles, abstracts, citation information and metadata for all its indexed scholarly journals. Moreover, we decided to focus on the journals listed in the AJG 2018 ranking because we were interested in reviewing business and economics related gender studies only. The AJG is indeed widely used by universities and business schools as a reference point for journal and research rigor and quality. This first step, executed in June 2021, returned more than 55,000 papers.
In the second step–because a look at the papers showed very sparse results, many of which were not in line with the topic of this literature review (e.g., papers dealing with health care or medical issues, where the word gender indicates the gender of the patients)–we applied further inclusion criteria to make the sample more focused on the topic of this literature review (i.e., women’s gender equality issues). Specifically, we only retained those papers mentioning, in their title and/or abstract, both gender-related keywords (e.g., daughter, female, mother) and keywords referring to bias and equality issues (e.g., equality, bias, diversity, inclusion). After text pre-processing (see next section), keywords were first identified from a frequency-weighted list of words found in the titles, abstracts and keywords in the initial list of papers, extracted through text mining (following the same approach as [ 43 ]). They were selected by two of the co-authors independently, following respectively a bottom up and a top-down approach. The bottom-up approach consisted of examining the words found in the frequency-weighted list and classifying those related to gender and equality. The top-down approach consisted in searching in the word list for notable gender and equality-related words. Table 1 reports the sets of keywords we considered, together with some examples of words that were used to search for their presence in the dataset (a full list is provided in the S1 Text ). At end of this second step, we obtained a final sample of 15,465 relevant papers.
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https://doi.org/10.1371/journal.pone.0256474.t001
Text processing and keyword extraction
Text preprocessing aims at structuring text into a form that can be analyzed by statistical models. In the present section, we describe the preprocessing steps we applied to paper titles and abstracts, which, as explained below, partially follow a standard text preprocessing pipeline [ 45 ]. These activities have been performed using the R package udpipe [ 46 ].
The first step is n-gram extraction (i.e., a sequence of words from a given text sample) to identify which n-grams are important in the analysis, since domain-specific lexicons are often composed by bi-grams and tri-grams [ 47 ]. Multi-word extraction is usually implemented with statistics and linguistic rules, thus using the statistical properties of n-grams or machine learning approaches [ 48 ]. However, for the present paper, we used Scopus metadata in order to have a more effective and efficient n-grams collection approach [ 49 ]. We used the keywords of each paper in order to tag n-grams with their associated keywords automatically. Using this greedy approach, it was possible to collect all the keywords listed by the authors of the papers. From this list, we extracted only keywords composed by two, three and four words, we removed all the acronyms and rare keywords (i.e., appearing in less than 1% of papers), and we clustered keywords showing a high orthographic similarity–measured using a Levenshtein distance [ 50 ] lower than 2, considering these groups of keywords as representing same concepts, but expressed with different spelling. After tagging the n-grams in the abstracts, we followed a common data preparation pipeline that consists of the following steps: (i) tokenization, that splits the text into tokens (i.e., single words and previously tagged multi-words); (ii) removal of stop-words (i.e. those words that add little meaning to the text, usually being very common and short functional words–such as “and”, “or”, or “of”); (iii) parts-of-speech tagging, that is providing information concerning the morphological role of a word and its morphosyntactic context (e.g., if the token is a determiner, the next token is a noun or an adjective with very high confidence, [ 51 ]); and (iv) lemmatization, which consists in substituting each word with its dictionary form (or lemma). The output of the latter step allows grouping together the inflected forms of a word. For example, the verbs “am”, “are”, and “is” have the shared lemma “be”, or the nouns “cat” and “cats” both share the lemma “cat”. We preferred lemmatization over stemming [ 52 ] in order to obtain more interpretable results.
In addition, we identified a further set of keywords (with respect to those listed in the “keywords” field) by applying a series of automatic words unification and removal steps, as suggested in past research [ 53 , 54 ]. We removed: sparse terms (i.e., occurring in less than 0.1% of all documents), common terms (i.e., occurring in more than 10% of all documents) and retained only nouns and adjectives. It is relevant to notice that no document was lost due to these steps. We then used the TF-IDF function [ 55 ] to produce a new list of keywords. We additionally tested other approaches for the identification and clustering of keywords–such as TextRank [ 56 ] or Latent Dirichlet Allocation [ 57 ]–without obtaining more informative results.
Classification of research topics
To guide the literature analysis, two experts met regularly to examine the sample of collected papers and to identify the main topics and trends in gender research. Initially, they conducted brainstorming sessions on the topics they expected to find, due to their knowledge of the literature. This led to an initial list of topics. Subsequently, the experts worked independently, also supported by the keywords in paper titles and abstracts extracted with the procedure described above.
Considering all this information, each expert identified and clustered relevant keywords into topics. At the end of the process, the two assignments were compared and exhibited a 92% agreement. Another meeting was held to discuss discordant cases and reach a consensus. This resulted in a list of 27 topics, briefly introduced in Table 2 and subsequently detailed in the following sections.
https://doi.org/10.1371/journal.pone.0256474.t002
Evaluation of semantic importance
Working on the lemmatized corpus of the 15,465 papers included in our sample, we proceeded with the evaluation of semantic importance trends for each topic and with the analysis of their connections and prevalent textual associations. To this aim, we used the Semantic Brand Score indicator [ 36 ], calculated through the SBS BI webapp [ 37 ] that also produced a brand image report for each topic. For this study we relied on the computing resources of the ENEA/CRESCO infrastructure [ 58 ].
The Semantic Brand Score (SBS) is a measure of semantic importance that combines methods of social network analysis and text mining. It is usually applied for the analysis of (big) textual data to evaluate the importance of one or more brands, names, words, or sets of keywords [ 36 ]. Indeed, the concept of “brand” is intended in a flexible way and goes beyond products or commercial brands. In this study, we evaluate the SBS time-trends of the keywords defining the research topics discussed in the previous section. Semantic importance comprises the three dimensions of topic prevalence, diversity and connectivity. Prevalence measures how frequently a research topic is used in the discourse. The more a topic is mentioned by scientific articles, the more the research community will be aware of it, with possible increase of future studies; this construct is partly related to that of brand awareness [ 59 ]. This effect is even stronger, considering that we are analyzing the title, abstract and keywords of the papers, i.e. the parts that have the highest visibility. A very important characteristic of the SBS is that it considers the relationships among words in a text. Topic importance is not just a matter of how frequently a topic is mentioned, but also of the associations a topic has in the text. Specifically, texts are transformed into networks of co-occurring words, and relationships are studied through social network analysis [ 60 ]. This step is necessary to calculate the other two dimensions of our semantic importance indicator. Accordingly, a social network of words is generated for each time period considered in the analysis–i.e., a graph made of n nodes (words) and E edges weighted by co-occurrence frequency, with W being the set of edge weights. The keywords representing each topic were clustered into single nodes.
The construct of diversity relates to that of brand image [ 59 ], in the sense that it considers the richness and distinctiveness of textual (topic) associations. Considering the above-mentioned networks, we calculated diversity using the distinctiveness centrality metric–as in the formula presented by Fronzetti Colladon and Naldi [ 61 ].
Lastly, connectivity was measured as the weighted betweenness centrality [ 62 , 63 ] of each research topic node. We used the formula presented by Wasserman and Faust [ 60 ]. The dimension of connectivity represents the “brokerage power” of each research topic–i.e., how much it can serve as a bridge to connect other terms (and ultimately topics) in the discourse [ 36 ].
The SBS is the final composite indicator obtained by summing the standardized scores of prevalence, diversity and connectivity. Standardization was carried out considering all the words in the corpus, for each specific timeframe.
This methodology, applied to a large and heterogeneous body of text, enables to automatically identify two important sets of information that add value to the literature review. Firstly, the relevance of each topic in literature is measured through a composite indicator of semantic importance, rather than simply looking at word frequencies. This provides a much richer picture of the topics that are at the center of the discourse, as well as of the topics that are emerging in the literature. Secondly, it enables to examine the extent of the semantic relationship between topics, looking at how tightly their discourses are linked. In a field such as gender equality, where many topics are closely linked to each other and present overlaps in issues and solutions, this methodology offers a novel perspective with respect to traditional literature reviews. In addition, it ensures reproducibility over time and the possibility to semi-automatically update the analysis, as new papers become available.
Overview of main topics
In terms of descriptive textual statistics, our corpus is made of 15,465 text documents, consisting of a total of 2,685,893 lemmatized tokens (words) and 32,279 types. As a result, the type-token ratio is 1.2%. The number of hapaxes is 12,141, with a hapax-token ratio of 37.61%.
Fig 1 shows the list of 27 topics by decreasing SBS. The most researched topic is compensation , exceeding all others in prevalence, diversity, and connectivity. This means it is not only mentioned more often than other topics, but it is also connected to a greater number of other topics and is central to the discourse on gender equality. The next four topics are, in order of SBS, role , education , decision-making , and career progression . These topics, except for education , all concern women in the workforce. Between these first five topics and the following ones there is a clear drop in SBS scores. In particular, the topics that follow have a lower connectivity than the first five. They are hiring , performance , behavior , organization , and human capital . Again, except for behavior and human capital , the other three topics are purely related to women in the workforce. After another drop-off, the following topics deal prevalently with women in society. This trend highlights that research on gender in business journals has so far mainly paid attention to the conditions that women experience in business contexts, while also devoting some attention to women in society.
https://doi.org/10.1371/journal.pone.0256474.g001
Fig 2 shows the SBS time series of the top 10 topics. While there has been a general increase in the number of Scopus-indexed publications in the last decade, we notice that some SBS trends remain steady, or even decrease. In particular, we observe that the main topic of the last twenty-two years, compensation , is losing momentum. Since 2016, it has been surpassed by decision-making , education and role , which may indicate that literature is increasingly attempting to identify root causes of compensation inequalities. Moreover, in the last two years, the topics of hiring , performance , and organization are experiencing the largest importance increase.
https://doi.org/10.1371/journal.pone.0256474.g002
Fig 3 shows the SBS time trends of the remaining 17 topics (i.e., those not in the top 10). As we can see from the graph, there are some that maintain a steady trend–such as reputation , management , networks and governance , which also seem to have little importance. More relevant topics with average stationary trends (except for the last two years) are culture , family , and parenting . The feminine topic is among the most important here, and one of those that exhibit the larger variations over time (similarly to leadership ). On the other hand, the are some topics that, even if not among the most important, show increasing SBS trends; therefore, they could be considered as emerging topics and could become popular in the near future. These are entrepreneurship , leadership , board of directors , and sustainability . These emerging topics are also interesting to anticipate future trends in gender equality research that are conducive to overall equality in society.
https://doi.org/10.1371/journal.pone.0256474.g003
In addition to the SBS score of the different topics, the network of terms they are associated to enables to gauge the extent to which their images (textual associations) overlap or differ ( Fig 4 ).
https://doi.org/10.1371/journal.pone.0256474.g004
There is a central cluster of topics with high similarity, which are all connected with women in the workforce. The cluster includes topics such as organization , decision-making , performance , hiring , human capital , education and compensation . In addition, the topic of well-being is found within this cluster, suggesting that women’s equality in the workforce is associated to well-being considerations. The emerging topics of entrepreneurship and leadership are also closely connected with each other, possibly implying that leadership is a much-researched quality in female entrepreneurship. Topics that are relatively more distant include personality , politics , feminine , empowerment , management , board of directors , reputation , governance , parenting , masculine and network .
The following sections describe the top 10 topics and their main associations in literature (see Table 3 ), while providing a brief overview of the emerging topics.
https://doi.org/10.1371/journal.pone.0256474.t003
Compensation.
The topic of compensation is related to the topics of role , hiring , education and career progression , however, also sees a very high association with the words gap and inequality . Indeed, a well-known debate in degrowth economics centers around whether and how to adequately compensate women for their childbearing, childrearing, caregiver and household work [e.g., 30 ].
Even in paid work, women continue being offered lower compensations than their male counterparts who have the same job or cover the same role [ 64 – 67 ]. This severe inequality has been widely studied by scholars over the last twenty-two years. Dealing with this topic, some specific roles have been addressed. Specifically, research highlighted differences in compensation between female and male CEOs [e.g., 68 ], top executives [e.g., 69 ], and boards’ directors [e.g., 70 ]. Scholars investigated the determinants of these gaps, such as the gender composition of the board [e.g., 71 – 73 ] or women’s individual characteristics [e.g., 71 , 74 ].
Among these individual characteristics, education plays a relevant role [ 75 ]. Education is indeed presented as the solution for women, not only to achieve top executive roles, but also to reduce wage inequality [e.g., 76 , 77 ]. Past research has highlighted education influences on gender wage gaps, specifically referring to gender differences in skills [e.g., 78 ], college majors [e.g., 79 ], and college selectivity [e.g., 80 ].
Finally, the wage gap issue is strictly interrelated with hiring –e.g., looking at whether being a mother affects hiring and compensation [e.g., 65 , 81 ] or relating compensation to unemployment [e.g., 82 ]–and career progression –for instance looking at meritocracy [ 83 , 84 ] or the characteristics of the boss for whom women work [e.g., 85 ].
The roles covered by women have been deeply investigated. Scholars have focused on the role of women in their families and the society as a whole [e.g., 14 , 15 ], and, more widely, in business contexts [e.g., 18 , 81 ]. Indeed, despite still lagging behind their male counterparts [e.g., 86 , 87 ], in the last decade there has been an increase in top ranked positions achieved by women [e.g., 88 , 89 ]. Following this phenomenon, scholars have posed greater attention towards the presence of women in the board of directors [e.g., 16 , 18 , 90 , 91 ], given the increasing pressure to appoint female directors that firms, especially listed ones, have experienced. Other scholars have focused on the presence of women covering the role of CEO [e.g., 17 , 92 ] or being part of the top management team [e.g., 93 ]. Irrespectively of the level of analysis, all these studies tried to uncover the antecedents of women’s presence among top managers [e.g., 92 , 94 ] and the consequences of having a them involved in the firm’s decision-making –e.g., on performance [e.g., 19 , 95 , 96 ], risk [e.g., 97 , 98 ], and corporate social responsibility [e.g., 99 , 100 ].
Besides studying the difficulties and discriminations faced by women in getting a job [ 81 , 101 ], and, more specifically in the hiring , appointment, or career progression to these apical roles [e.g., 70 , 83 ], the majority of research of women’s roles dealt with compensation issues. Specifically, scholars highlight the pay-gap that still exists between women and men, both in general [e.g., 64 , 65 ], as well as referring to boards’ directors [e.g., 70 , 102 ], CEOs and executives [e.g., 69 , 103 , 104 ].
Finally, other scholars focused on the behavior of women when dealing with business. In this sense, particular attention has been paid to leadership and entrepreneurial behaviors. The former quite overlaps with dealing with the roles mentioned above, but also includes aspects such as leaders being stereotyped as masculine [e.g., 105 ], the need for greater exposure to female leaders to reduce biases [e.g., 106 ], or female leaders acting as queen bees [e.g., 107 ]. Regarding entrepreneurship , scholars mainly investigated women’s entrepreneurial entry [e.g., 108 , 109 ], differences between female and male entrepreneurs in the evaluations and funding received from investors [e.g., 110 , 111 ], and their performance gap [e.g., 112 , 113 ].
Education has long been recognized as key to social advancement and economic stability [ 114 ], for job progression and also a barrier to gender equality, especially in STEM-related fields. Research on education and gender equality is mostly linked with the topics of compensation , human capital , career progression , hiring , parenting and decision-making .
Education contributes to a higher human capital [ 115 ] and constitutes an investment on the part of women towards their future. In this context, literature points to the gender gap in educational attainment, and the consequences for women from a social, economic, personal and professional standpoint. Women are found to have less access to formal education and information, especially in emerging countries, which in turn may cause them to lose social and economic opportunities [e.g., 12 , 116 – 119 ]. Education in local and rural communities is also paramount to communicate the benefits of female empowerment , contributing to overall societal well-being [e.g., 120 ].
Once women access education, the image they have of the world and their place in society (i.e., habitus) affects their education performance [ 13 ] and is passed on to their children. These situations reinforce gender stereotypes, which become self-fulfilling prophecies that may negatively affect female students’ performance by lowering their confidence and heightening their anxiety [ 121 , 122 ]. Besides formal education, also the information that women are exposed to on a daily basis contributes to their human capital . Digital inequalities, for instance, stems from men spending more time online and acquiring higher digital skills than women [ 123 ].
Education is also a factor that should boost employability of candidates and thus hiring , career progression and compensation , however the relationship between these factors is not straightforward [ 115 ]. First, educational choices ( decision-making ) are influenced by variables such as self-efficacy and the presence of barriers, irrespectively of the career opportunities they offer, especially in STEM [ 124 ]. This brings additional difficulties to women’s enrollment and persistence in scientific and technical fields of study due to stereotypes and biases [ 125 , 126 ]. Moreover, access to education does not automatically translate into job opportunities for women and minority groups [ 127 , 128 ] or into female access to managerial positions [ 129 ].
Finally, parenting is reported as an antecedent of education [e.g., 130 ], with much of the literature focusing on the role of parents’ education on the opportunities afforded to children to enroll in education [ 131 – 134 ] and the role of parenting in their offspring’s perception of study fields and attitudes towards learning [ 135 – 138 ]. Parental education is also a predictor of the other related topics, namely human capital and compensation [ 139 ].
Decision-making.
This literature mainly points to the fact that women are thought to make decisions differently than men. Women have indeed different priorities, such as they care more about people’s well-being, working with people or helping others, rather than maximizing their personal (or their firm’s) gain [ 140 ]. In other words, women typically present more communal than agentic behaviors, which are instead more frequent among men [ 141 ]. These different attitude, behavior and preferences in turn affect the decisions they make [e.g., 142 ] and the decision-making of the firm in which they work [e.g., 143 ].
At the individual level, gender affects, for instance, career aspirations [e.g., 144 ] and choices [e.g., 142 , 145 ], or the decision of creating a venture [e.g., 108 , 109 , 146 ]. Moreover, in everyday life, women and men make different decisions regarding partners [e.g., 147 ], childcare [e.g., 148 ], education [e.g., 149 ], attention to the environment [e.g., 150 ] and politics [e.g., 151 ].
At the firm level, scholars highlighted, for example, how the presence of women in the board affects corporate decisions [e.g., 152 , 153 ], that female CEOs are more conservative in accounting decisions [e.g., 154 ], or that female CFOs tend to make more conservative decisions regarding the firm’s financial reporting [e.g., 155 ]. Nevertheless, firm level research also investigated decisions that, influenced by gender bias, affect women, such as those pertaining hiring [e.g., 156 , 157 ], compensation [e.g., 73 , 158 ], or the empowerment of women once appointed [ 159 ].
Career progression.
Once women have entered the workforce, the key aspect to achieve gender equality becomes career progression , including efforts toward overcoming the glass ceiling. Indeed, according to the SBS analysis, career progression is highly related to words such as work, social issues and equality. The topic with which it has the highest semantic overlap is role , followed by decision-making , hiring , education , compensation , leadership , human capital , and family .
Career progression implies an advancement in the hierarchical ladder of the firm, assigning managerial roles to women. Coherently, much of the literature has focused on identifying rationales for a greater female participation in the top management team and board of directors [e.g., 95 ] as well as the best criteria to ensure that the decision-makers promote the most valuable employees irrespectively of their individual characteristics, such as gender [e.g., 84 ]. The link between career progression , role and compensation is often provided in practice by performance appraisal exercises, frequently rooted in a culture of meritocracy that guides bonuses, salary increases and promotions. However, performance appraisals can actually mask gender-biased decisions where women are held to higher standards than their male colleagues [e.g., 83 , 84 , 95 , 160 , 161 ]. Women often have less opportunities to gain leadership experience and are less visible than their male colleagues, which constitute barriers to career advancement [e.g., 162 ]. Therefore, transparency and accountability, together with procedures that discourage discretionary choices, are paramount to achieve a fair career progression [e.g., 84 ], together with the relaxation of strict job boundaries in favor of cross-functional and self-directed tasks [e.g., 163 ].
In addition, a series of stereotypes about the type of leadership characteristics that are required for top management positions, which fit better with typical male and agentic attributes, are another key barrier to career advancement for women [e.g., 92 , 160 ].
Hiring is the entrance gateway for women into the workforce. Therefore, it is related to other workforce topics such as compensation , role , career progression , decision-making , human capital , performance , organization and education .
A first stream of literature focuses on the process leading up to candidates’ job applications, demonstrating that bias exists before positions are even opened, and it is perpetuated both by men and women through networking and gatekeeping practices [e.g., 164 , 165 ].
The hiring process itself is also subject to biases [ 166 ], for example gender-congruity bias that leads to men being preferred candidates in male-dominated sectors [e.g., 167 ], women being hired in positions with higher risk of failure [e.g., 168 ] and limited transparency and accountability afforded by written processes and procedures [e.g., 164 ] that all contribute to ascriptive inequality. In addition, providing incentives for evaluators to hire women may actually work to this end; however, this is not the case when supporting female candidates endangers higher-ranking male ones [ 169 ].
Another interesting perspective, instead, looks at top management teams’ composition and the effects on hiring practices, indicating that firms with more women in top management are less likely to lay off staff [e.g., 152 ].
Performance.
Several scholars posed their attention towards women’s performance, its consequences [e.g., 170 , 171 ] and the implications of having women in decision-making positions [e.g., 18 , 19 ].
At the individual level, research focused on differences in educational and academic performance between women and men, especially referring to the gender gap in STEM fields [e.g., 171 ]. The presence of stereotype threats–that is the expectation that the members of a social group (e.g., women) “must deal with the possibility of being judged or treated stereotypically, or of doing something that would confirm the stereotype” [ 172 ]–affects women’s interested in STEM [e.g., 173 ], as well as their cognitive ability tests, penalizing them [e.g., 174 ]. A stronger gender identification enhances this gap [e.g., 175 ], whereas mentoring and role models can be used as solutions to this problem [e.g., 121 ]. Despite the negative effect of stereotype threats on girls’ performance [ 176 ], female and male students perform equally in mathematics and related subjects [e.g., 177 ]. Moreover, while individuals’ performance at school and university generally affects their achievements and the field in which they end up working, evidence reveals that performance in math or other scientific subjects does not explain why fewer women enter STEM working fields; rather this gap depends on other aspects, such as culture, past working experiences, or self-efficacy [e.g., 170 ]. Finally, scholars have highlighted the penalization that women face for their positive performance, for instance when they succeed in traditionally male areas [e.g., 178 ]. This penalization is explained by the violation of gender-stereotypic prescriptions [e.g., 179 , 180 ], that is having women well performing in agentic areas, which are typical associated to men. Performance penalization can thus be overcome by clearly conveying communal characteristics and behaviors [ 178 ].
Evidence has been provided on how the involvement of women in boards of directors and decision-making positions affects firms’ performance. Nevertheless, results are mixed, with some studies showing positive effects on financial [ 19 , 181 , 182 ] and corporate social performance [ 99 , 182 , 183 ]. Other studies maintain a negative association [e.g., 18 ], and other again mixed [e.g., 184 ] or non-significant association [e.g., 185 ]. Also with respect to the presence of a female CEO, mixed results emerged so far, with some researches demonstrating a positive effect on firm’s performance [e.g., 96 , 186 ], while other obtaining only a limited evidence of this relationship [e.g., 103 ] or a negative one [e.g., 187 ].
Finally, some studies have investigated whether and how women’s performance affects their hiring [e.g., 101 ] and career progression [e.g., 83 , 160 ]. For instance, academic performance leads to different returns in hiring for women and men. Specifically, high-achieving men are called back significantly more often than high-achieving women, which are penalized when they have a major in mathematics; this result depends on employers’ gendered standards for applicants [e.g., 101 ]. Once appointed, performance ratings are more strongly related to promotions for women than men, and promoted women typically show higher past performance ratings than those of promoted men. This suggesting that women are subject to stricter standards for promotion [e.g., 160 ].
Behavioral aspects related to gender follow two main streams of literature. The first examines female personality and behavior in the workplace, and their alignment with cultural expectations or stereotypes [e.g., 188 ] as well as their impacts on equality. There is a common bias that depicts women as less agentic than males. Certain characteristics, such as those more congruent with male behaviors–e.g., self-promotion [e.g., 189 ], negotiation skills [e.g., 190 ] and general agentic behavior [e.g., 191 ]–, are less accepted in women. However, characteristics such as individualism in women have been found to promote greater gender equality in society [ 192 ]. In addition, behaviors such as display of emotions [e.g., 193 ], which are stereotypically female, work against women’s acceptance in the workplace, requiring women to carefully moderate their behavior to avoid exclusion. A counter-intuitive result is that women and minorities, which are more marginalized in the workplace, tend to be better problem-solvers in innovation competitions due to their different knowledge bases [ 194 ].
The other side of the coin is examined in a parallel literature stream on behavior towards women in the workplace. As a result of biases, prejudices and stereotypes, women may experience adverse behavior from their colleagues, such as incivility and harassment, which undermine their well-being [e.g., 195 , 196 ]. Biases that go beyond gender, such as for overweight people, are also more strongly applied to women [ 197 ].
Organization.
The role of women and gender bias in organizations has been studied from different perspectives, which mirror those presented in detail in the following sections. Specifically, most research highlighted the stereotypical view of leaders [e.g., 105 ] and the roles played by women within firms, for instance referring to presence in the board of directors [e.g., 18 , 90 , 91 ], appointment as CEOs [e.g., 16 ], or top executives [e.g., 93 ].
Scholars have investigated antecedents and consequences of the presence of women in these apical roles. On the one side they looked at hiring and career progression [e.g., 83 , 92 , 160 , 168 , 198 ], finding women typically disadvantaged with respect to their male counterparts. On the other side, they studied women’s leadership styles and influence on the firm’s decision-making [e.g., 152 , 154 , 155 , 199 ], with implications for performance [e.g., 18 , 19 , 96 ].
Human capital.
Human capital is a transverse topic that touches upon many different aspects of female gender equality. As such, it has the most associations with other topics, starting with education as mentioned above, with career-related topics such as role , decision-making , hiring , career progression , performance , compensation , leadership and organization . Another topic with which there is a close connection is behavior . In general, human capital is approached both from the education standpoint but also from the perspective of social capital.
The behavioral aspect in human capital comprises research related to gender differences for example in cultural and religious beliefs that influence women’s attitudes and perceptions towards STEM subjects [ 142 , 200 – 202 ], towards employment [ 203 ] or towards environmental issues [ 150 , 204 ]. These cultural differences also emerge in the context of globalization which may accelerate gender equality in the workforce [ 205 , 206 ]. Gender differences also appear in behaviors such as motivation [ 207 ], and in negotiation [ 190 ], and have repercussions on women’s decision-making related to their careers. The so-called gender equality paradox sees women in countries with lower gender equality more likely to pursue studies and careers in STEM fields, whereas the gap in STEM enrollment widens as countries achieve greater equality in society [ 171 ].
Career progression is modeled by literature as a choice-process where personal preferences, culture and decision-making affect the chosen path and the outcomes. Some literature highlights how women tend to self-select into different professions than men, often due to stereotypes rather than actual ability to perform in these professions [ 142 , 144 ]. These stereotypes also affect the perceptions of female performance or the amount of human capital required to equal male performance [ 110 , 193 , 208 ], particularly for mothers [ 81 ]. It is therefore often assumed that women are better suited to less visible and less leadership -oriented roles [ 209 ]. Women also express differing preferences towards work-family balance, which affect whether and how they pursue human capital gains [ 210 ], and ultimately their career progression and salary .
On the other hand, men are often unaware of gendered processes and behaviors that they carry forward in their interactions and decision-making [ 211 , 212 ]. Therefore, initiatives aimed at increasing managers’ human capital –by raising awareness of gender disparities in their organizations and engaging them in diversity promotion–are essential steps to counter gender bias and segregation [ 213 ].
Emerging topics: Leadership and entrepreneurship
Among the emerging topics, the most pervasive one is women reaching leadership positions in the workforce and in society. This is still a rare occurrence for two main types of factors, on the one hand, bias and discrimination make it harder for women to access leadership positions [e.g., 214 – 216 ], on the other hand, the competitive nature and high pressure associated with leadership positions, coupled with the lack of women currently represented, reduce women’s desire to achieve them [e.g., 209 , 217 ]. Women are more effective leaders when they have access to education, resources and a diverse environment with representation [e.g., 218 , 219 ].
One sector where there is potential for women to carve out a leadership role is entrepreneurship . Although at the start of the millennium the discourse on entrepreneurship was found to be “discriminatory, gender-biased, ethnocentrically determined and ideologically controlled” [ 220 ], an increasing body of literature is studying how to stimulate female entrepreneurship as an alternative pathway to wealth, leadership and empowerment [e.g., 221 ]. Many barriers exist for women to access entrepreneurship, including the institutional and legal environment, social and cultural factors, access to knowledge and resources, and individual behavior [e.g., 222 , 223 ]. Education has been found to raise women’s entrepreneurial intentions [e.g., 224 ], although this effect is smaller than for men [e.g., 109 ]. In addition, increasing self-efficacy and risk-taking behavior constitute important success factors [e.g., 225 ].
Finally, the topic of sustainability is worth mentioning, as it is the primary objective of the SDGs and is closely associated with societal well-being. As society grapples with the effects of climate change and increasing depletion of natural resources, a narrative has emerged on women and their greater link to the environment [ 226 ]. Studies in developed countries have found some support for women leaders’ attention to sustainability issues in firms [e.g., 227 – 229 ], and smaller resource consumption by women [ 230 ]. At the same time, women will likely be more affected by the consequences of climate change [e.g., 230 ] but often lack the decision-making power to influence local decision-making on resource management and environmental policies [e.g., 231 ].
Research gaps and conclusions
Research on gender equality has advanced rapidly in the past decades, with a steady increase in publications, both in mainstream topics related to women in education and the workforce, and in emerging topics. Through a novel approach combining methods of text mining and social network analysis, we examined a comprehensive body of literature comprising 15,465 papers published between 2000 and mid 2021 on topics related to gender equality. We identified a set of 27 topics addressed by the literature and examined their connections.
At the highest level of abstraction, it is worth noting that papers abound on the identification of issues related to gender inequalities and imbalances in the workforce and in society. Literature has thoroughly examined the (unconscious) biases, barriers, stereotypes, and discriminatory behaviors that women are facing as a result of their gender. Instead, there are much fewer papers that discuss or demonstrate effective solutions to overcome gender bias [e.g., 121 , 143 , 145 , 163 , 194 , 213 , 232 ]. This is partly due to the relative ease in studying the status quo, as opposed to studying changes in the status quo. However, we observed a shift in the more recent years towards solution seeking in this domain, which we strongly encourage future researchers to focus on. In the future, we may focus on collecting and mapping pro-active contributions to gender studies, using additional Natural Language Processing techniques, able to measure the sentiment of scientific papers [ 43 ].
All of the mainstream topics identified in our literature review are closely related, and there is a wealth of insights looking at the intersection between issues such as education and career progression or human capital and role . However, emerging topics are worthy of being furtherly explored. It would be interesting to see more work on the topic of female entrepreneurship , exploring aspects such as education , personality , governance , management and leadership . For instance, how can education support female entrepreneurship? How can self-efficacy and risk-taking behaviors be taught or enhanced? What are the differences in managerial and governance styles of female entrepreneurs? Which personality traits are associated with successful entrepreneurs? Which traits are preferred by venture capitalists and funding bodies?
The emerging topic of sustainability also deserves further attention, as our society struggles with climate change and its consequences. It would be interesting to see more research on the intersection between sustainability and entrepreneurship , looking at how female entrepreneurs are tackling sustainability issues, examining both their business models and their company governance . In addition, scholars are suggested to dig deeper into the relationship between family values and behaviors.
Moreover, it would be relevant to understand how women’s networks (social capital), or the composition and structure of social networks involving both women and men, enable them to increase their remuneration and reach top corporate positions, participate in key decision-making bodies, and have a voice in communities. Furthermore, the achievement of gender equality might significantly change firm networks and ecosystems, with important implications for their performance and survival.
Similarly, research at the nexus of (corporate) governance , career progression , compensation and female empowerment could yield useful insights–for example discussing how enterprises, institutions and countries are managed and the impact for women and other minorities. Are there specific governance structures that favor diversity and inclusion?
Lastly, we foresee an emerging stream of research pertaining how the spread of the COVID-19 pandemic challenged women, especially in the workforce, by making gender biases more evident.
For our analysis, we considered a set of 15,465 articles downloaded from the Scopus database (which is the largest abstract and citation database of peer-reviewed literature). As we were interested in reviewing business and economics related gender studies, we only considered those papers published in journals listed in the Academic Journal Guide (AJG) 2018 ranking of the Chartered Association of Business Schools (CABS). All the journals listed in this ranking are also indexed by Scopus. Therefore, looking at a single database (i.e., Scopus) should not be considered a limitation of our study. However, future research could consider different databases and inclusion criteria.
With our literature review, we offer researchers a comprehensive map of major gender-related research trends over the past twenty-two years. This can serve as a lens to look to the future, contributing to the achievement of SDG5. Researchers may use our study as a starting point to identify key themes addressed in the literature. In addition, our methodological approach–based on the use of the Semantic Brand Score and its webapp–could support scholars interested in reviewing other areas of research.
Supporting information
S1 text. keywords used for paper selection..
https://doi.org/10.1371/journal.pone.0256474.s001
Acknowledgments
The computing resources and the related technical support used for this work have been provided by CRESCO/ENEAGRID High Performance Computing infrastructure and its staff. CRESCO/ENEAGRID High Performance Computing infrastructure is funded by ENEA, the Italian National Agency for New Technologies, Energy and Sustainable Economic Development and by Italian and European research programmes (see http://www.cresco.enea.it/english for information).
- View Article
- PubMed/NCBI
- Google Scholar
- 9. UN. Transforming our world: The 2030 Agenda for Sustainable Development. General Assembley 70 Session; 2015.
- 11. Nature. Get the Sustainable Development Goals back on track. Nature. 2020;577(January 2):7–8
- 37. Fronzetti Colladon A, Grippa F. Brand intelligence analytics. In: Przegalinska A, Grippa F, Gloor PA, editors. Digital Transformation of Collaboration. Cham, Switzerland: Springer Nature Switzerland; 2020. p. 125–41. https://doi.org/10.1371/journal.pone.0233276 pmid:32442196
- 39. Griffiths TL, Steyvers M, editors. Finding scientific topics. National academy of Sciences; 2004.
- 40. Mimno D, Wallach H, Talley E, Leenders M, McCallum A, editors. Optimizing semantic coherence in topic models. 2011 Conference on Empirical Methods in Natural Language Processing; 2011.
- 41. Wang C, Blei DM, editors. Collaborative topic modeling for recommending scientific articles. 17th ACM SIGKDD international conference on Knowledge discovery and data mining 2011.
- 46. Straka M, Straková J, editors. Tokenizing, pos tagging, lemmatizing and parsing ud 2.0 with udpipe. CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies; 2017.
- 49. Lu Y, Li, R., Wen K, Lu Z, editors. Automatic keyword extraction for scientific literatures using references. 2014 IEEE International Conference on Innovative Design and Manufacturing (ICIDM); 2014.
- 55. Roelleke T, Wang J, editors. TF-IDF uncovered. 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval—SIGIR ‘08; 2008.
- 56. Mihalcea R, Tarau P, editors. TextRank: Bringing order into text. 2004 Conference on Empirical Methods in Natural Language Processing; 2004.
- 58. Iannone F, Ambrosino F, Bracco G, De Rosa M, Funel A, Guarnieri G, et al., editors. CRESCO ENEA HPC clusters: A working example of a multifabric GPFS Spectrum Scale layout. 2019 International Conference on High Performance Computing & Simulation (HPCS); 2019.
- 60. Wasserman S, Faust K. Social network analysis: Methods and applications: Cambridge University Press; 1994.
- 141. Williams JE, Best DL. Measuring sex stereotypes: A multination study, Rev: Sage Publications, Inc; 1990.
- 172. Steele CM, Aronson J. Stereotype threat and the test performance of academically successful African Americans. In: Jencks C, Phillips M, editors. The Black–White test score gap. Washington, DC: Brookings; 1998. p. 401–27
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Dissertation databases.
To identify dissertations written at other universities use one of the following databases. Once you have identified those dissertations you need, submit an interlibrary loan request to get a copy if it is not available online. You can also buy copies of many dissertations via ProQuest's Dissertations & Theses Fulltext.
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The UW Libraries has copies of dissertations and masters theses written by University of Washington students (physical distribution of dissertations ended in 2012). To locate these pre-2012 hard copy dissertations, search UW Libraries Search in the following ways:
By genre & department- use the heading "theses" followed by the department:
theses GWSS
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Printed dissertations from 2006 - 2011 can be found in the Suzzallo Stacks under HQ1180.
2016 GWSS Dissertations
- Marriage Timing, Gender Context, and Early Family Formation MacQuarrie, Kerry L. D.. University of Washington, ProQuest Dissertations Publishing, 2016. 10251826.
- Examining Gender Differences in Writing Skill with Latent Factor Modeling Woods, LaurelAuthor InformationView Profile. University of Washington, ProQuest Dissertations Publishing, 2016. 10138765.
- The Adolescent Empathy Paradox and Juvenile Offending: Why sex differences in empathic ability can help explain the gender gap in juvenile offending behavior O'Neill, Katherine Krushinski. University of Washington, ProQuest Dissertations Publishing, 2016. 10162468.
- Sexual Behavior Patterns and Condom Use in Newly Sexually Active Female University Students Carlson, Tessa ShardeAuthor InformationView Profile. University of Washington, ProQuest Dissertations Publishing, 2016. 10138484.
- Sexual behavior following acute HIV diagnosis in men who have sex with men and in transgender women in the Sabes study in Lima, Peru Ness, Tara E.. University of Washington, ProQuest Dissertations Publishing, 2016. 10239389.
Past GWSS Dissertations
- Making the most of university : gender differences in early entrance students' talent development Childers, Sarah (Sarah Anne) (1980-2007)
- Inclusion and exclusion in IR : a feminist analysis of the Journal of international affairs and International studies quarterly Rabusseau, Elisabeth (2009)
- Understanding the challenges : domestic violence agencies and social change Rosenberg, Karen (1970-2003)
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Women's and Gender Studies Master's Theses
As of 2014, all newly submitted Graduate Center dissertations and theses appear in Academic Works shortly after graduation. Some works are immediately available to read and download, and some become available after an embargo period set by the author.
Dissertations and theses from before 2014 are generally accessible only to the CUNY community, but some authors have chosen to make theirs open access.
Dissertations/Theses/Capstones from 2024 2024
Cinema and Ritual: Decolonial Feminist Approaches to Image-Making in the Americas and the Caribbean , Natalie M. Erazo
Final Report: Media Intern Position at CLAGS , Nicolle Marquez
Dissertations/Theses/Capstones from 2023 2023
An Analysis of Feminist Care Networks in the Editorial Intern Position at Women's Studies Quarterly , Angela G. Boscarino
Overview of the Intern Position at SexGenLab and the Importance of Public Scholarship , Elizabeth S. Chapin
How the U.S. Mainstream Media Perpetuates Cis White Masculine Hegemony , Yelena Dzhanova
The Queer Comedy Boom: The History of LGBTQ+ Stand-up Comedy , Marcelle Karp
The Queer Life of Lorena Hickok , Samantha D. Leyerle
Uprooting Patriarchy: Meditations on Gender, Masculinities, and Healing Through Buddhist Practices , Noah Souder-Russo
Dissertations/Theses/Capstones from 2022 2022
A History of the Center for the Study of Women and Society, 1975–2015 , Clarisa Gonzalez
Lactating Justice: Constructing a Society Economically Focused on Optimizing Health through Human Lactation , Shadley Hobour
An Overview and Assessment of the Editorial Assistant Position at Women’s Studies Quarterly , Amy M. Iafrate
A Qualitative Exploration of Discourses in Fan Community, /r/boyslove , Jessica Lin
My Favorite Thing is Monster Theory: Horror Comics and deMONSTRating Difference in Emil Ferris’s "My Favorite Thing is Monsters" , Jennifer Rossberg
Exploring the Boundaries of Queerness from Academia to Activism , Jillian M. (Silvia) Miranda
Let ‘Em Talk: An Exploration of and Challenge to the White Supremacy and Colonization of Black and Brown Girls in United States Public Schools , Keara Small
Dissertations/Theses/Capstones from 2021 2021
Put Yourself First (In a Sexy Way): Postfeminist Beauty Messaging and Resistant Media Texts , Margarita Artoglou
Constructing Curriculum: Centering Identities in Sex Education , Jozette Belmont
The Impact of State Violence on Women During the 22 Years of Dictatorship in The Gambia , Isatou Bittaye-Jobe
Fantasies of Representation: Methods of Feminist Literary Analysis , Alexandra Johnson
Towards a Decolonial Feminist Aesthetics: Gender, Race, and Empire in Theresa Hak Kyung Cha’s Dictee , Juwon Jun
What Do You Think She’s Gonna Do With a Set of Real Claws?: Gender, Race, and Sexuality in Onscreen Portrayals of Women Werewolves , Ashleigh K. Williams
The Compressed Modernity of Legalizing Same-sex Marriage in Taiwan: Digital Activism, Human Rights Discourse, and Intertwined Sexual, Political and National Identities , Jyun-Jie Yang
Dissertations/Theses/Capstones from 2020 2020
If It Wasn’t for the Women: An Exploration of Works by Renita Weems, Wil Gafney, & Kelly Brown Douglas , Charlene Adams
“I’m Real I Thought I Told Ya”: Developing Critical Media Literacy Through U.S. Latinx Digital Media Representations , Solange T. Castellar
Cracks in the Bathroom Stall: A Discourse Analysis on Transgender Bathroom Usage at Garden Spot High School , Kirsten D. Corneilson
Legitimizing Violence at the European Border: Gendered Misrepresentations at Sea and the Vulnerable Other , Michela Demelas
Transgender in College: Engaging Marginalized Collegiate Students , Lo Ferguson
¿Cómo Traducimos "Ni Una Más" al Inglés?: Latin American Manifestation of the Phenomenology of Femicide, and the United States’ Subsequent Internal Neglect , Suemi Mendez
Desexualizing Queer Identities: Methods to Validating Non-Sexual Romantic Attraction and Relationships , Unnati Patel
Dissertations/Theses/Capstones from 2019 2019
“Let’s Call Painful Sex Disorders Sexual Disabilities Instead”: A Feminist Disability Critique of Feminist Representations and Medical Representations of Sexual Disorders of Pain , Oyku Akin
Intergenerational Teenage Motherhood: Memory and Material Culture , Aspen Christian
Refusing White Privacy , Olivia Dunbar
Feminist and Anti-Feminist Discourses on Abortion in Haiti from 2010 to 2019 , Katia Henrys
“The Least Sexually Confident Women in the World”: International NGOs and the Racialized Politics of Obstetric Fistula , Googie S. Karrass
Paradoxes of Feminist Stances in “New Turkey”: Reconceiving NGO-State Relationships in the Case of KAMER , Irem Kilic
Gender Affirmative Monopoly: Who is "Trans* Enough" to Receive Gender Affirmative Treatment In Norway? , Emilie Kristine Krumsvik
HEARING/s: Will in the Carceral Archive , Kayla Morse
Sexual Harassment of Professional Women: Joan Williams's The Wintering and Her Apprenticeship with William Faulkner , Naoko Ohri
Black Amerinquen , Kayla Marie Rodriguez
Dissertations/Theses/Capstones from 2018 2018
"It's like They're Right There Next to You": Maintaining Girls' Camp Friendships via Mobile Media , Elise Bragard
Progressive Commemoration: Public Statues of Historical Women in Urban American Cities , Melanie D. Chin
Queer Repurposed Artifacts: The State of New York City’s Contemporary West Village Bars , Stephanie DeBiase
Who Is It For? Personal Writing and Antagonistic Readers , Dana Glaser
Dolls Who Speak: Sex Robots, Cyborgs and the Image of Woman , Victoria E. Pihl Sorensen
A Critical Assessment of the Internship at the NGO Committee on the Status of Women, New York , Ching-Kang Wang
Women and Work: African American Women in Depression Era America , Sarah Ward
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Gender inequality as a barrier to economic growth: a review of the theoretical literature
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- Published: 15 January 2021
- Volume 19 , pages 581–614, ( 2021 )
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- Manuel Santos Silva 1 &
- Stephan Klasen 1
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In this article, we survey the theoretical literature investigating the role of gender inequality in economic development. The vast majority of theories reviewed argue that gender inequality is a barrier to development, particularly over the long run. Among the many plausible mechanisms through which inequality between men and women affects the aggregate economy, the role of women for fertility decisions and human capital investments is particularly emphasized in the literature. Yet, we believe the body of theories could be expanded in several directions.
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1 Introduction
Theories of long-run economic development have increasingly relied on two central forces: population growth and human capital accumulation. Both forces depend on decisions made primarily within households: population growth is partially determined by households’ fertility choices (e.g., Becker & Barro 1988 ), while human capital accumulation is partially dependent on parental investments in child education and health (e.g., Lucas 1988 ).
In an earlier survey of the literature linking family decisions to economic growth, Grimm ( 2003 ) laments that “[m]ost models ignore the two-sex issue. Parents are modeled as a fictive asexual human being” (p. 154). Footnote 1 Since then, however, economists are increasingly recognizing that gender plays a fundamental role in how households reproduce and care for their children. As a result, many models of economic growth are now populated with men and women. The “fictive asexual human being” is a dying species. In this article, we survey this rich new landscape in theoretical macroeconomics, reviewing, in particular, micro-founded theories where gender inequality affects economic development.
For the purpose of this survey, gender inequality is defined as any exogenously imposed difference between male and female economic agents that, by shaping their behavior, has implications for aggregate economic growth. In practice, gender inequality is typically modeled as differences between men and women in endowments, constraints, or preferences.
Many articles review the literature on gender inequality and economic growth. Footnote 2 Typically, both the theoretical and empirical literature are discussed, but, in almost all cases, the vast empirical literature receives most of the attention. In addition, some of the surveys examine both sides of the two-way relationship between gender inequality and economic growth: gender equality as a cause of economic growth and economic growth as a cause of gender equality. As a result, most surveys end up only scratching the surface of each of these distinct strands of literature.
There is, by now, a large and insightful body of micro-founded theories exploring how gender equality affects economic growth. In our view, these theories merit a separate review. Moreover, they have not received sufficient attention in empirical work, which has largely developed independently (see also Cuberes & Teignier 2014 ). By reviewing the theoretical literature, we hope to motivate empirical researchers in finding new ways of putting these theories to test. In doing so, our work complements several existing surveys. Doepke & Tertilt ( 2016 ) review the theoretical literature that incorporates families in macroeconomic models, without focusing exclusively on models that include gender inequality, as we do. Greenwood, Guner and Vandenbroucke ( 2017 ), in turn, review the theoretical literature from the opposite direction; they study how macroeconomic models can explain changes in family outcomes. Doepke, Tertilt and Voena ( 2012 ) survey the political economy of women’s rights, but without focusing explicitly on their impact on economic development.
To be precise, the scope of this survey consists of micro-founded macroeconomic models where gender inequality (in endowments, constraints, preferences) affects economic growth—either by influencing the economy’s growth rate or shaping the transition paths between multiple income equilibria. As a result, this survey does not cover several upstream fields of partial-equilibrium micro models, where gender inequality affects several intermediate growth-related outcomes, such as labor supply, education, health. Additionally, by focusing on micro-founded macro models, we do not review studies in heterodox macroeconomics, including the feminist economics tradition using structuralist, demand-driven models. For recent overviews of this literature, see Kabeer ( 2016 ) and Seguino ( 2013 , 2020 ). Overall, we find very little dialogue between the neoclassical and feminist heterodox literatures. In this review, we will show that actually these two traditions have several points of contact and reach similar conclusions in many areas, albeit following distinct intellectual routes.
Although the incorporation of gender in macroeconomic models of economic growth is a recent development, the main gendered ingredients of those models are not new. They were developed in at least two strands of literature. First, since the 1960s, “new home economics” has applied the analytical toolbox of rational choice theory to decisions being made within the boundaries of the family (see, e.g., Becker 1960 , 1981 ). Footnote 3 A second literature strand, mostly based on empirical work at the micro level in developing countries, described clear patterns of gender-specific behavior within households that differed across regions of the developing world (see, e.g., Boserup 1970 ). Footnote 4 As we shall see, most of the (micro-founded) macroeconomic models reviewed in this article use several analytical mechanisms from "new home economics”; these mechanisms can typically rationalize several of the gender-specific regularities observed in early studies of developing countries. The growth theorist is then left to explore the aggregate implications for economic development.
The first models we present focus on gender discrimination in (or on access to) the labor market as a distortionary tax on talent. If talent is randomly distributed in the population, men and women are imperfect substitutes in aggregate production, and, as a consequence, gender inequality (as long as determined by non-market processes) will misallocate talent and lower incentives for female human capital formation. These theories do not rely on typical household functions such as reproduction and childrearing. Therefore, in these models, individuals are not organized into households. We review this literature in section 2 .
From there, we proceed to theories where the household is the unit of analysis. In sections 3 and 4 , we cover models that take the household as given and avoid marriage markets or other household formation institutions. This is a world where marriage (or cohabitation) is universal, consensual, and monogamous; families are nuclear, and spouses are matched randomly. The first articles in this tradition model the household as a unitary entity with joint preferences and interests, and with an efficient and centralized decision making process. Footnote 5 These theories posit how men and women specialize into different activities and how parents interact with their children. Section 3 reviews these theories. Over time, the literature has incorporated intra-household dynamics. Now, family members are allowed to have different preferences and interests; they bargain, either cooperatively or not, over family decisions. Now, the theorist recognizes power asymmetries between family members and analyzes how spouses bargain over decisions. Footnote 6 These articles are surveyed in section 4 .
The final set of articles we survey take into account how households are formed. These theories show how gender inequality can influence economic growth and long-run development through marriage market institutions and family formation patterns. Among other topics, this literature has studied ages at first marriage, relative supply of potential partners, monogamy and polygyny, arranged and consensual marriages, and divorce risk. Upon marriage, these models assume different bargaining processes between the spouses, or even unitary households, but they all recognize, in one way or another, that marriage, labor supply, consumption, and investment decisions are interdependent. We review these theories in section 5 .
Table 1 offers a schematic overview of the literature. To improve readability, the table only includes studies that we review in detail, with articles listed in order of appearance in the text. The table also abstracts from models’ extensions and sensitivity checks, and focuses exclusively on the causal pathways leading from gender inequality to economic growth.
The vast majority of theories reviewed argue that gender inequality is a barrier to economic development, particularly over the long run. The focus on long-run supply-side models reflects a recent effort by growth theorists to incorporate two stylized facts of economic development in the last two centuries: (i) a strong positive association between gender equality and income per capita (Fig. 1 ), and (ii) a strong association between the timing of the fertility transition and income per capita (Fig. 2 ). Footnote 7 Models that endogenize a fertility transition are able to generate a transition from a Malthusian regime of stagnation to a modern regime of sustained economic growth, thus replicating the development experience of human societies in the very long run (e.g., Galor 2005a , b ; Guinnane 2011 ). In contrast, demand-driven models in the heterodox and feminist traditions have often argued that gender wage discrimination and gendered sectoral and occupational segregation can be conducive to economic growth in semi-industrialized export-oriented economies. Footnote 8 In these settings—that fit well the experience of East and Southeast Asian economies—gender wage discrimination in female-intensive export industries reduces production costs and boosts exports, profits, and investment (Blecker & Seguino 2002 ; Seguino 2010 ).
Income level and gender equality. Income is the natural log of per capita GDP (PPP-adjusted). The Gender Development Index is the ratio of gender-specific Human Development Indexes: female HDI/male HDI. Data are for the year 2000. Sources: UNDP
Income level and timing of the fertility transition. Income is the natural log of per capita GDP (PPP-adjusted) in 2000. Years since fertility transition are the number of years between 2000 and the onset year of the fertility decline. See Reher ( 2004 ) for details. Sources: UNDP and Reher ( 2004 )
In most long-run, supply-side models reviewed here, irrespectively of the underlying source of gender differences (e.g., biology, socialization, discrimination), the opportunity cost of women’s time in foregone labor market earnings is lower than that of men. This gender gap in the value of time affects economic growth through two main mechanisms. First, when the labor market value of women’s time is relatively low, women will be in charge of childrearing and domestic work in the family. A low value of female time means that children are cheap. Fertility will be high, and economic growth will be low, both because population growth has a direct negative impact on long-run economic performance and because human capital accumulates at a slower pace (through the quantity-quality trade-off). Second, if parents expect relatively low returns to female education, due to women specializing in domestic activities, they will invest relatively less in the education of girls. In the words of Harriet Martineau, one of the first to describe this mechanism, “as women have none of the objects in life for which an enlarged education is considered requisite, the education is not given” (Martineau 1837 , p. 107). In the long run, lower human capital investments (on girls) lead to slower economic development.
Overall, gender inequality can be conceptualized as a source of inefficiency, to the extent that it results in the misallocation of productive factors, such as talent or labor, and as a source of negative externalities, when it leads to higher fertility, skewed sex ratios, or lower human capital accumulation.
We conclude, in section 6 , by examining the limitations of the current literature and pointing ways forward. Among them, we suggest deeper investigations of the role of (endogenous) technological change on gender inequality, as well as greater attention to the role and interests of men in affecting gender inequality and its impact on growth.
2 Gender discrimination and misallocation of talent
Perhaps the single most intuitive argument for why gender discrimination leads to aggregate inefficiency and hampers economic growth concerns the allocation of talent. Assume that talent is randomly distributed in the population. Then, an economy that curbs women’s access to education, market employment, or certain occupations draws talent from a smaller pool than an economy without such restrictions. Gender inequality can thus be viewed as a distortionary tax on talent. Indeed, occupational choice models with heterogeneous talent (as in Roy 1951 ) show that exogenous barriers to women’s participation in the labor market or access to certain occupations reduce aggregate productivity and per capita output (Cuberes & Teignier 2016 , 2017 ; Esteve-Volart 2009 ; Hsieh, Hurst, Jones and Klenow 2019 ).
Hsieh et al. ( 2019 ) represent the US economy with a model where individuals sort into occupations based on innate ability. Footnote 9 Gender and race identity, however, are a source of discrimination, with three forces preventing women and black men from choosing the occupations best fitting their comparative advantage. First, these groups face labor market discrimination, which is modeled as a tax on wages and can vary by occupation. Second, there is discrimination in human capital formation, with the costs of occupation-specific human capital being higher for certain groups. This cost penalty is a composite term encompassing discrimination or quality differentials in private or public inputs into children’s human capital. The third force are group-specific social norms that generate utility premia or penalties across occupations. Footnote 10
Assuming that the distribution of innate ability across race and gender is constant over time, Hsieh et al. ( 2019 ) investigate and quantify how declines in labor market discrimination, barriers to human capital formation, and changing social norms affect aggregate output and productivity in the United States, between 1960 and 2010. Over that period, their general equilibrium model suggests that around 40 percent of growth in per capita GDP and 90 percent of growth in labor force participation can be attributed to reductions in the misallocation of talent across occupations. Declining in barriers to human capital formation account for most of these effects, followed by declining labor market discrimination. Changing social norms, on the other hand, explain only a residual share of aggregate changes.
Two main mechanisms drive these results. First, falling discrimination improves efficiency through a better match between individual ability and occupation. Second, because discrimination is higher in high-skill occupations, when discrimination decreases, high-ability women and black men invest more in human capital and supply more labor to the market. Overall, better allocation of talent, rising labor supply, and faster human capital accumulation raise aggregate growth and productivity.
Other occupational choice models assuming gender inequality in access to the labor market or certain occupations reach similar conclusions. In addition to the mechanisms in Hsieh et al. ( 2019 ), barriers to women’s work in managerial or entrepreneurial occupations reduce average talent in these positions, resulting in aggregate losses in innovation, technology adoption, and productivity (Cuberes & Teignier 2016 , 2017 ; Esteve-Volart 2009 ). The argument can be readily applied to talent misallocation across sectors (Lee 2020 ). In Lee’s model, female workers face discrimination in the non-agricultural sector. As a result, talented women end up sorting into ill-suited agricultural activities. This distortion reduces aggregate productivity in agriculture. Footnote 11
To sum up, when talent is randomly distributed in the population, barriers to women’s education, employment, or occupational choice effectively reduce the pool of talent in the economy. According to these models, dismantling these gendered barriers can have an immediate positive effect on economic growth.
3 Unitary households: parents and children
In this section, we review models built upon unitary households. A unitary household maximizes a joint utility function subject to pooled household resources. Intra-household decision making is assumed away; the household is effectively a black-box. In this class of models, gender inequality stems from a variety of sources. It is rooted in differences in physical strength (Galor & Weil 1996 ; Hiller 2014 ; Kimura & Yasui 2010 ) or health (Bloom et al. 2015 ); it is embedded in social norms (Hiller 2014 ; Lagerlöf 2003 ), labor market discrimination (Cavalcanti & Tavares 2016 ), or son preference (Zhang, Zhang and Li 1999 ). In all these models, gender inequality is a barrier to long-run economic development.
Galor & Weil ( 1996 ) model an economy with three factors of production: capital, physical labor (“brawn”), and mental labor (“brain”). Men and women are equally endowed with brains, but men have more brawn. In economies starting with very low levels of capital per worker, women fully specialize in childrearing because their opportunity cost in terms of foregone market earnings is lower than men’s. Over time, the stock of capital per worker builds up due to exogenous technological progress. The degree of complementarity between capital and mental labor is higher than that between capital and physical labor; as the economy accumulates capital per worker, the returns to brain rise relative to the returns to brawn. As a result, the relative wages of women rise, increasing the opportunity cost of childrearing. This negative substitution effect dominates the positive income effect on the demand for children and fertility falls. Footnote 12 As fertility falls, capital per worker accumulates faster creating a positive feedback loop that generates a fertility transition and kick starts a process of sustained economic growth.
The model has multiple stable equilibria. An economy starting from a low level of capital per worker is caught in a Malthusian poverty trap of high fertility, low income per capita, and low relative wages for women. In contrast, an economy starting from a sufficiently high level of capital per worker will converge to a virtuous equilibrium of low fertility, high income per capita, and high relative wages for women. Through exogenous technological progress, the economy can move from the low to the high equilibrium.
Gender inequality in labor market access or returns to brain can slow down or even prevent the escape from the Malthusian equilibrium. Wage discrimination or barriers to employment would work against the rise of relative female wages and, therefore, slow down the takeoff to modern economic growth.
The Galor and Weil model predicts how female labor supply and fertility evolve in the course of development. First, (married) women start participating in market work and only afterwards does fertility start declining. Historically, however, in the US and Western Europe, the decline in fertility occurred before women’s participation rates in the labor market started their dramatic increase. In addition, these regions experienced a mid-twentieth century baby boom which seems at odds with Galor and Weil’s theory.
Both these stylized facts can be addressed by adding home production to the modeling, as do Kimura & Yasui ( 2010 ). In their article, as capital per worker accumulates, the market wage for brains rises and the economy moves through four stages of development. In the first stage, with a sufficiently low market wage, both husband and wife are fully dedicated to home production and childrearing. The household does not supply labor to the market; fertility is high and constant. In the second stage, as the wage rate increases, men enter the labor market (supplying both brawn and brain), whereas women remain fully engaged in home production and childrearing. But as men partially withdraw from home production, women have to replace them. As a result, their time cost of childrearing goes up. At this stage of development, the negative substitution effect of rising wages on fertility dominates the positive income effect. Fertility starts declining, even though women have not yet entered the labor market. The third stage arrives when men stop working in home production. There is complete specialization of labor by gender; men only do market work, and women only do home production and childrearing. As the market wage rises for men, the positive income effect becomes dominant and fertility increases; this mimics the baby-boom period of the mid-twentieth century. In the fourth and final stage, once sufficient capital is accumulated, women enter the market sector as wage-earners. The negative substitution effect of rising female opportunity costs dominates once again, and fertility declines. The economy moves from a “breadwinner model” to a “dual-earnings model”.
Another important form of gender inequality is discrimination against women in the form of lower wages, holding male and female productivity constant. Cavalcanti & Tavares ( 2016 ) estimate the aggregate effects of wage discrimination using a model-based general equilibrium representation of the US economy. In their model, women are assumed to be more productive in childrearing than men, so they pay the full time cost of this activity. In the labor market, even though men and women are equally productive, women receive only a fraction of the male wage rate—this is the wage discrimination assumption. Wage discrimination works as a tax on female labor supply. Because women work less than they would without discrimination, there is a negative level effect on per capita output. In addition, there is a second negative effect of wage discrimination operating through endogenous fertility. Since lower wages reduce women’s opportunity costs of childrearing, fertility is relatively high, and output per capita is relatively low. The authors calibrate the model to US steady state parameters and estimate large negative output costs of the gender wage gap. Reducing wage discrimination against women by 50 percent would raise per capita income by 35 percent, in the long run.
Human capital accumulation plays no role in Galor & Weil ( 1996 ), Kimura & Yasui ( 2010 ), and Cavalcanti & Tavares ( 2016 ). Each person is exogenously endowed with a unit of brains. The fundamental trade-off in the these models is between the income and substitution effects of rising wages on the demand for children. When Lagerlöf ( 2003 ) adds education investments to a gender-based model, an additional trade-off emerges: that between the quantity and the quality of children.
Lagerlöf ( 2003 ) models gender inequality as a social norm: on average, men have higher human capital than women. Confronted with this fact, parents play a coordination game in which it is optimal for them to reproduce the inequality in the next generation. The reason is that parents expect the future husbands of their daughters to be, on average, relatively more educated than the future wives of their sons. Because, in the model, parents care for the total income of their children’s future households, they respond by investing relatively less in daughters’ human capital. Here, gender inequality does not arise from some intrinsic difference between men and women. It is instead the result of a coordination failure: “[i]f everyone else behaves in a discriminatory manner, it is optimal for the atomistic player to do the same” (Lagerlöf 2003 , p. 404).
With lower human capital, women earn lower wages than men and are therefore solely responsible for the time cost of childrearing. But if, exogenously, the social norm becomes more gender egalitarian over time, the gender gap in parental educational investment decreases. As better educated girls grow up and become mothers, their opportunity costs of childrearing are higher. Parents trade-off the quantity of children by their quality; fertility falls and human capital accumulates. However, rising wages have an offsetting positive income effect on fertility because parents pay a (fixed) “goods cost” per child. The goods cost is proportionally more important in poor societies than in richer ones. As a result, in poor economies, growth takes off slowly because the positive income effect offsets a large chunk of the negative substitution effect. As economies grow richer, the positive income effect vanishes (as a share of total income), and fertility declines faster. That is, growth accelerates over time even if gender equality increases only linearly.
The natural next step is to model how the social norm on gender roles evolves endogenously during the course of development. Hiller ( 2014 ) develops such a model by combining two main ingredients: a gender gap in the endowments of brawn (as in Galor & Weil 1996 ) generates a social norm, which each parental couple takes as given (as in Lagerlöf 2003 ). The social norm evolves endogenously, but slowly; it tracks the gender ratio of labor supply in the market, but with a small elasticity. When the male-female ratio in labor supply decreases, stereotypes adjust and the norm becomes less discriminatory against women.
The model generates a U-shaped relationship between economic development and female labor force participation. Footnote 13 In the preindustrial stage, there is no education and all labor activities are unskilled, i.e., produced with brawn. Because men have a comparative advantage in brawn, they supply more labor to the market than women, who specialize in home production. This gender gap in labor supply creates a social norm that favors boys over girls. Over time, exogenous skill-biased technological progress raises the relative returns to brains, inducing parents to invest in their children’s education. At the beginning, however, because of the social norm, only boys become educated. The economy accumulates human capital and grows, generating a positive income effect that, in isolation, would eventually drive up parental investments in girls’ education. Footnote 14 But endogenous social norms move in the opposite direction. When only boys receive education, the gender gap in returns to market work increases, and women withdraw to home production. As female relative labor supply in the market drops, the social norm becomes more discriminatory against women. As a result, parents want to invest relatively less in their daughters’ education.
In the end, initial conditions determine which of the forces dominates, thereby shaping long-term outcomes. If, initially, the social norm is very discriminatory, its effect is stronger than the income effect; the economy becomes trapped in an equilibrium with high gender inequality and low per capita income. If, on the other hand, social norms are relatively egalitarian to begin with, then the income effect dominates, and the economy converges to an equilibrium with gender equality and high income per capita.
In the models reviewed so far, human capital or brain endowments can be understood as combining both education and health. Bloom et al. ( 2015 ) explicitly distinguish these two dimensions. Health affects labor market earnings because sick people are out of work more often (participation effect) and are less productive per hour of work (productivity effect). Female health is assumed to be worse than male health, implying that women’s effective wages are lower than men’s. As a result, women are solely responsible for childrearing. Footnote 15
The model produces two growth regimes: a Malthusian trap with high fertility and no educational investments; and a regime of sustained growth, declining fertility, and rising educational investments. Once wages reach a certain threshold, the economy goes through a fertility transition and education expansion, taking off from the Malthusian regime to the sustained growth regime.
Female health promotes growth in both regimes, and it affects the timing of the takeoff. The healthier women are, the earlier the economy takes off. The reason is that a healthier woman earns a higher effective wage and, consequently, faces higher opportunity costs of raising children. When female health improves, the rising opportunity costs of children reduce the wage threshold at which educational investments become attractive; the fertility transition and mass education periods occur earlier.
In contrast, improved male health slows down economic growth and delays the fertility transition. When men become healthier, there is only a income effect on the demand for children, without the negative substitution effect (because male childrearing time is already zero). The policy conclusion would be to redistribute health from men to women. However, the policy would impose a static utility cost on the household. Because women’s time allocation to market work is constrained by childrearing responsibilities (whereas men work full-time), the marginal effect of health on household income is larger for men than for women. From the household’s point of view, reducing the gender gap in health produces a trade-off between short-term income maximization and long-term economic development.
In an extension of the model, the authors endogeneize health investments, while keeping the assumption that women pay the full time cost of childrearing. Because women participate less in the labor market (due to childrearing duties), it is optimal for households to invest more in male health. A health gender gap emerges from rational household behavior that takes into account how time-constraints differ by gender; assuming taste-based discrimination against girls or gender-specific preferences is not necessary.
In the models reviewed so far, parents invest in their children’s human capital for purely altruistic reasons. This is captured in the models by assuming that parents derive utility directly from the quantity and quality of children. This is the classical representation of children as durable consumption goods (e.g., Becker 1960 ). In reality, of course, parents may also have egoistic motivations for investing in child quantity and quality. A typical example is that, when parents get old and retire, they receive support from their children. The quantity and quality of children will affect the size of old-age transfers and parents internalize this in their fertility and childcare behavior. According to this view, children are best understood as investment goods.
Zhang et al. ( 1999 ) build an endogenous growth model that incorporates the old-age support mechanism in parental decisions. Another innovative element of their model is that parents can choose the gender of their children. The implicit assumption is that sex selection technologies are freely available to all parents.
At birth, there is a gender gap in human capital endowment, favoring boys over girls. Footnote 16 In adulthood, a child’s human capital depends on the initial endowment and on the parents’ human capital. In addition, the probability that a child survives to adulthood is exogenous and can differ by gender.
Parents receive old-age support from children that survive until adulthood. The more human capital children have, the more old-age support they provide to their parents. Beyond this egoistic motive, parents also enjoy the quantity and the quality of children (altruistic motive). Son preference is modeled by boys having a higher relative weight in the altruistic-component of the parental utility function. In other words, in their enjoyment of children as consumer goods, parents enjoy “consuming” a son more than “consuming” a girl. Parents who prefer sons want more boys than girls. A larger preference for sons, a higher relative survival probability of boys, and a higher human capital endowment of boys positively affect the sex ratio at birth, because, in the parents’ perspective, all these forces increase the marginal utility of boys relative to girls.
Zhang et al. ( 1999 ) show that, if human capital transmission from parents to children is efficient enough, the economy grows endogenously. When boys have a higher human capital endowment than girls, and the survival probability of sons is not smaller than the survival probability of daughters, then only sons provide old-age support. Anticipating this, parents invest more in the human capital of their sons than on the human capital of their daughters. As a result, the gender gap in human capital at birth widens endogenously.
When only boys provide old-age support, an exogenous increase in son preference harms long-run economic growth. The reason is that, when son preference increases, parents enjoy each son relatively more and demand less old-age support from him. Other things equal, parents want to “consume” more sons now and less old-age support later. Because parents want more sons, the sex ratio at birth increases; but because each son provides less old-age support, human capital investments per son decrease (such that the gender gap in human capital narrows). At the aggregate level, the pace of human capital accumulation slows down and, in the long run, economic growth is lower. Thus, an exogenous increase in son preference increases the sex ratio at birth, and reduces human capital accumulation and long-run growth (although it narrows the gender gap in education).
In summary, in growth models with unitary households, gender inequality is closely linked to the division of labor between family members. If women earn relatively less in market activities, they specialize in childrearing and home production, while men specialize in market work. And precisely due to this division of labor, the returns to female educational investments are relatively low. These household behaviors translate into higher fertility and lower human capital and thus pose a barrier to long-run development.
4 Intra-household bargaining: husbands and wives
In this section, we review models populated with non-unitary households, where decisions are the result of bargaining between the spouses. There are two broad types of bargaining processes: non-cooperative, where spouses act independently or interact in a non-cooperative game that often leads to inefficient outcomes (e.g., Doepke & Tertilt 2019 , Heath & Tan 2020 ); and cooperative, where the spouses are assumed to achieve an efficient outcome (e.g., De la Croix & Vander Donckt 2010 ; Diebolt & Perrin 2013 ). As in the previous section, all of these non-unitary models take the household as given, thereby abstracting from marriage markets or other household formation institutions, which will be discussed separately in section 5 . When preferences differ by gender, bargaining between the spouses matters for economic growth. If women care more about child quality than men do and human capital accumulation is the main engine of growth, then empowering women leads to faster economic growth (Prettner & Strulik 2017 ). If, however, men and women have similar preferences but are imperfect substitutes in the production of household public goods, then empowering women has an ambiguous effect on economic growth (Doepke & Tertilt 2019 ).
A separate channel concerns the intergenerational transmission of human capital and woman’s role as the main caregiver of children. If the education of the mother matters more than the education of the father in the production of children’s human capital, then empowering women will be conducive to growth (Agénor 2017 ; Diebolt & Perrin 2013 ), with the returns to education playing a crucial role in the political economy of female empowerment (Doepke & Tertilt 2009 ).
However, different dimensions of gender inequality have different growth impacts along the development process (De la Croix & Vander Donckt 2010 ). Policies that improve gender equality across many dimensions can be particularly effective for economic growth by reaping complementarities and positive externalities (Agénor 2017 ).
The idea that women might have stronger preferences for child-related expenditures than men can be easily incorporated in a Beckerian model of fertility. The necessary assumption is that women place a higher weight on child quality (relative to child quantity) than men do. Prettner & Strulik ( 2017 ) build a unified growth theory model with collective households. Men and women have different preferences, but they achieve efficient cooperation based on (reduced-form) bargaining parameters. The authors study the effect of two types of preferences: (i) women are assumed to have a relative preference for child quality, while men have a relative preference for child quantity; and (ii) parents are assumed to have a relative preference for the education of sons over the education of daughters. In addition, it is assumed that the time cost of childcare borne by men cannot be above that borne by women (but it could be the same).
When women have a relative preference for child quality, increasing female empowerment speeds up the economy’s escape from a Malthusian trap of high fertility, low education, and low income per capita. When female empowerment increases (exogenously), a woman’s relative preference for child quality has a higher impact on household’s decisions. As a consequence, fertility falls, human capital accumulates, and the economy starts growing. The model also predicts that the more preferences for child quality differ between husband and wife, the more effective is female empowerment in raising long-run per capita income, because the sooner the economy escapes the Malthusian trap. This effect is not affected by whether parents have a preference for the education of boys relative to that of girls. If, however, men and women have similar preferences with respect to the quantity and quality of their children, then female empowerment does not affect the timing of the transition to the sustained growth regime.
Strulik ( 2019 ) goes one step further and endogeneizes why men seem to prefer having more children than women. The reason is a different preference for sexual activity: other things equal, men enjoy having sex more than women. Footnote 17 When cheap and effective contraception is not available, a higher male desire for sexual activity explains why men also prefer to have more children than women. In a traditional economy, where no contraception is available, fertility is high, while human capital and economic growth are low. When female bargaining power increases, couples reduce their sexual activity, fertility declines, and human capital accumulates faster. Faster human capital accumulation increases household income and, as a consequence, the demand for contraception goes up. As contraception use increases, fertility declines further. Eventually, the economy undergoes a fertility transition and moves to a modern regime with low fertility, widespread use of contraception, high human capital, and high economic growth. In the modern regime, because contraception is widely used, men’s desire for sex is decoupled from fertility. Both sex and children cost time and money. When the two are decoupled, men prefer to have more sex at the expense of the number of children. There is a reversal in the gender gap in desired fertility. When contraceptives are not available, men desire more children than women; once contraceptives are widely used, men desire fewer children than women. If women are more empowered, the transition from the traditional equilibrium to the modern equilibrium occurs faster.
Both Prettner & Strulik ( 2017 ) and Strulik ( 2019 ) rely on gender-specific preferences. In contrast, Doepke & Tertilt ( 2019 ) are able to explain gender-specific expenditure patterns without having to assume that men and women have different preferences. They set up a non-cooperative model of household decision making and ask whether more female control of household resources leads to higher child expenditures and, thus, to economic development. Footnote 18
In their model, household public goods are produced with two inputs: time and goods. Instead of a single home-produced good (as in most models), there is a continuum of household public goods whose production technologies differ. Some public goods are more time-intensive to produce, while others are more goods-intensive. Each specific public good can only be produced by one spouse—i.e., time and good inputs are not separable. Women face wage discrimination in the labor market, so their opportunity cost of time is lower than men’s. As a result, women specialize in the production of the most time-intensive household public goods (e.g., childrearing activities), while men specialize in the production of goods-intensive household public goods (e.g., housing infrastructure). Notice that, because the household is non-cooperative, there is not only a division of labor between husband and wife, but also a division of decision making, since ultimately each spouse decides how much to provide of his or her public goods.
When household resources are redistributed from men to women (i.e., from the high-wage spouse to the low-wage spouse), women provide more public goods, in relative terms. It is ambiguous, however, whether the total provision of public goods increases with the re-distributive transfer. In a classic model of gender-specific preferences, a wife increases child expenditures and her own private consumption at the expense of the husband’s private consumption. In Doepke & Tertilt ( 2019 ), however, the rise in child expenditures (and time-intensive public goods in general) comes at the expense of male consumption and male-provided public goods.
Parents contribute to the welfare of the next generation in two ways: via human capital investments (time-intensive, typically done by the mother) and bequests of physical capital (goods-intensive, typically done by the father). Transferring resources to women increases human capital, but reduces the stock of physical capital. The effect of such transfers on economic growth depends on whether the aggregate production function is relatively intensive in human capital or in physical capital. If aggregate production is relatively human capital intensive, then transfers to women boost economic growth; if it is relatively intensive in physical capital, then transfers to women may reduce economic growth.
There is an interesting paradox here. On the one hand, transfers to women will be growth-enhancing in economies where production is intensive in human capital. These would be more developed, knowledge intensive, service economies. On the other hand, the positive growth effect of transfers to women increases with the size of the gender wage gap, that is, decreases with female empowerment. But the more advanced, human capital intensive economies are also the ones with more female empowerment (i.e., lower gender wage gaps). In other words, in settings where human capital investments are relatively beneficial, the contribution of female empowerment to human capital accumulation is reduced. Overall, Doepke and Tertilt’s ( 2019 ) model predicts that female empowerment has at best a limited positive effect and at worst a negative effect on economic growth.
Heath & Tan ( 2020 ) argue that, in a non-cooperative household model, income transfers to women may increase female labor supply. Footnote 19 This result may appear counter-intuitive at first, because in collective household models unearned income unambiguously reduces labor supply through a negative income effect. In Heath and Tan’s model, husband and wife derive utility from leisure, consuming private goods, and consuming a household public good. The spouses decide separately on labor supply and monetary contributions to the household public good. Men and women are identical in preferences and behavior, but women have limited control over resources, with a share of their income being captured by the husband. Female control over resources (i.e., autonomy) depends positively on the wife’s relative contribution to household income. Thus, an income transfer to the wife, keeping husband unearned income constant, raises the fraction of her own income that she privately controls. This autonomy effect unambiguously increases women’s labor supply, because the wife can now reap an additional share of her wage bill. Whenever the autonomy effect dominates the (negative) income effect, female labor supply increases. The net effect will be heterogeneous over the wage distribution, but the authors show that aggregate female labor supply is always weakly larger after the income transfer.
Diebolt & Perrin ( 2013 ) assume cooperative bargaining between husband and wife, but do not rely on sex-specific preferences or differences in ability. Men and women are only distinguished by different uses of their time endowments, with females in charge of all childrearing activities. In line with this labor division, the authors further assume that only the mother’s human capital is inherited by the child at birth. On top of the inherited maternal endowment, individuals can accumulate human capital during adulthood, through schooling. The higher the initial human capital endowment, the more effective is the accumulation of human capital via schooling.
A woman’s bargaining power in marriage determines her share in total household consumption and is a function of the relative female human capital of the previous generation. An increase in the human capital of mothers relative to that of fathers has two effects. First, it raises the incentives for human capital accumulation of the next generation, because inherited maternal human capital makes schooling more effective. Second, it raises the bargaining power of the next generation of women and, because women’s consumption share increases, boosts the returns on women’s education. The second effect is not internalized in women’s time allocation decisions; it is an intergenerational externality. Thus, an exogenous increase in women’s bargaining power would promote economic growth by speeding up the accumulation of human capital across overlapping generations.
De la Croix & Vander Donckt ( 2010 ) contribute to the literature by clearly distinguishing between different gender gaps: a gap in the probability of survival, a wage gap, a social and institutional gap, and a gender education gap. The first three are exogenously given, while the fourth is determined within the model.
By assumption, men and women have identical preferences and ability, but women pay the full time cost of childrearing. As in a typical collective household model, bargaining power is partially determined by the spouses’ earnings potential (i.e., their levels of human capital and their wage rates). But there is also a component of bargaining power that is exogenous and captures social norms that discriminate against women—this is the social and institutional gender gap.
Husbands and wives bargain over fertility and human capital investments for their children. A standard Beckerian result emerges: parents invest relatively less in the education of girls, because girls will be more time-constrained than boys and, therefore, the female returns to education are lower in relative terms.
There are at least two regimes in the economy: a corner regime and an interior regime. The corner regime consists of maximum fertility, full gender specialization (no women in the labor market), and large gender gaps in education (no education for girls). Reducing the wage gap or the social and institutional gap does not help the economy escaping this regime. Women are not in labor force, so the wage gap is meaningless. The social and institutional gap will determine women’s share in household consumption, but does not affect fertility and growth. At this stage, the only effective instruments for escaping the corner regime are reducing the gender survival gap or reducing child mortality. Reducing the gender survival gap increases women’s lifespan, which increases their time budget and attracts them to the labor market. Reducing child mortality decreases the time costs of kids, therefore drawing women into the labor market. In both cases, fertility decreases.
In the interior regime, fertility is below the maximum, women’s labor supply is above zero, and both boys and girls receive education. In this regime, with endogenous bargaining power, reducing all gender gaps will boost economic growth. Footnote 20 Thus, depending on the growth regime, some gender gaps affect economic growth, while others do not. Accordingly, the policy-maker should tackle different dimensions of gender inequality at different stages of the development process.
Agénor ( 2017 ) presents a computable general equilibrium that includes many of the elements of gender inequality reviewed so far. An important contribution of the model is to explicitly add the government as an agent whose policies interact with family decisions and, therefore, will impact women’s time allocation. Workers produce a market good and a home good and are organized in collective households. Bargaining power depends on the spouses’ relative human capital levels. By assumption, there is gender discrimination in market wages against women. On top, mothers are exclusively responsible for home production and childrearing, which takes the form of time spent improving children’s health and education. But public investments in education and health also improve these outcomes during childhood. Likewise, public investment in public infrastructure contributes positively to home production. In particular, the ratio of public infrastructure capital stock to private capital stock is a substitute for women’s time in home production. The underlying idea is that improving sanitation, transportation, and other infrastructure reduces time spent in home production. Health status in adulthood depends on health status in childhood, which, in turn, relates positively to mother’s health, her time inputs into childrearing, and government spending. Children’s human capital depends on similar factors, except that mother’s human capital replaces her health as an input. Additionally, women are assumed to derive less utility from current consumption and more utility from children’s health relative to men. Wives are also assumed to live longer than their husbands, which further down-weights female’s emphasis on current consumption. The final gendered assumption is that mother’s time use is biased towards boys. This bias alone creates a gender gap in education and health. As adults, women’s relative lower health and human capital are translated into relative lower bargaining power in household decisions.
Agénor ( 2017 ) calibrates this rich setup for Benin, a low income country, and runs a series of policy experiments on different dimensions of gender inequality: a fall in childrearing costs, a fall in gender pay discrimination, a fall in son bias in mother’s time allocation, and an exogenous increase in female bargaining power. Footnote 21 Interestingly, despite all policies improving gender equality in separate dimensions, not all unambiguously stimulate economic growth. For example, falling childrearing costs raise savings and private investments, which are growth-enhancing, but increase fertility (as children become ‘cheaper’) and reduce maternal time investment per child, thus reducing growth. In contrast, a fall in gender pay discrimination always leads to higher growth, through higher household income that, in turn, boosts savings, tax revenues, and public spending. Higher public spending further contributes to improved health and education of the next generation. Lastly, Agénor ( 2017 ) simulates the effect of a combined policy that improves gender equality in all domains simultaneously. Due to complementarities and positive externalities across dimensions, the combined policy generates more economic growth than the sum of the individual policies. Footnote 22
In the models reviewed so far, men are passive observers of women’s empowerment. Doepke & Tertilt ( 2009 ) set up an interesting political economy model of women’s rights, where men make the decisive choice. Their model is motivated by the fact that, historically, the economic rights of women were expanded before their political rights. Because the granting of economic rights empowers women in the household, and this was done before women were allowed to participate in the political process, the relevant question is why did men willingly share their power with their wives?
Doepke & Tertilt ( 2009 ) answer this question by arguing that men face a fundamental trade-off. On the one hand, husbands would vote for their wives to have no rights whatsoever, because husbands prefer as much intra-household bargaining power as possible. But, on the other hand, fathers would vote for their daughters to have economic rights in their future households. In addition, fathers want their children to marry highly educated spouses, and grandfathers want their grandchildren to be highly educated. By assumption, men and women have different preferences, with women having a relative preference for child quality over quantity. Accordingly, men internalize that, when women become empowered, human capital investments increase, making their children and grandchildren better-off.
Skill-biased (exogenous) technological progress that raises the returns to education over time can shift male incentives along this trade-off. When the returns to education are low, men prefer to make all decisions on their own and deny all rights to women. But once the returns to education are sufficiently high, men voluntarily share their power with women by granting them economic rights. As a result, human capital investments increase and the economy grows faster.
In summary, gender inequality in labor market earnings often implies power asymmetries within the household, with men having more bargaining power than women. If preferences differ by gender and female preferences are more conducive to development, then empowering women is beneficial for growth. When preferences are the same and the bargaining process is non-cooperative, the implications are less clear-cut, and more context-specific. If, in addition, women’s empowerment is curtailed by law (e.g., restrictions on women’s economic rights), then it is important to understand the political economy of women’s rights, in which men are crucial actors.
5 Marriage markets and household formation
Two-sex models of economic growth have largely ignored how households are formed. The marriage market is not explicitly modeled: spouses are matched randomly, marriage is universal and monogamous, and families are nuclear. In reality, however, household formation patterns vary substantially across societies, with some of these differences extending far back in history. For example, Hajnal ( 1965 , 1982 ) described a distinct household formation pattern in preindustrial Northwestern Europe (often referred to as the “European Marriage Pattern”) characterized by: (i) late ages at first marriage for women, (ii) most marriages done under individual consent, and (iii) neolocality (i.e., upon marriage, the bride and the groom leave their parental households to form a new household). In contrast, marriage systems in China and India consisted of: (i) very early female ages at first marriage, (ii) arranged marriages, and (iii) patrilocality (i.e., the bride joins the parental household of the groom).
Economic historians argue that the “European Marriage Pattern” empowered women, encouraging their participation in market activities and reducing fertility levels. While some view this as one of the deep-rooted factors explaining Northwestern Europe’s earlier takeoff to sustained economic growth (e.g., Carmichael, de Pleijt, van Zanden and De Moor 2016 ; De Moor & Van Zanden 2010 ; Hartman 2004 ), others have downplayed the long-run significance of this marriage pattern (e.g., Dennison & Ogilvie 2014 ; Ruggles 2009 ). Despite this lively debate, the topic has been largely ignored by growth theorists. The few exceptions are Voigtländer and Voth ( 2013 ), Edlund and Lagerlöf ( 2006 ), and Tertilt ( 2005 , 2006 ).
After exploring different marriage institutions, we zoom in on contemporary monogamous and consensual marriage and review models where gender inequality affects economic growth through marriage markets that facilitate household formation (Du & Wei 2013 ; Grossbard & Pereira 2015 ; Grossbard-Shechtman 1984 ; Guvenen & Rendall 2015 ). In contrast with the previous two sections, where the household is the starting point of the analysis, the literature on marriage markets and household formation recognizes that marriage, labor supply, and investment decisions are interlinked. The analysis of these interlinkages is sometimes done with unitary households (upon marriage) (Du & Wei 2013 ; Guvenen & Rendall 2015 ), or with non-cooperative models of individual decision-making within households (Grossbard & Pereira 2015 ; Grossbard-Shechtman 1984 ).
Voigtländer and Voth ( 2013 ) argue that the emergence of the “European Marriage Pattern” is a direct consequence of the mid-fourteen century Black Death. They set up a two-sector agricultural economy consisting of physically demanding cereal farming, and less physically demanding pastoral production. The economy is populated by many male and female peasants and by a class of idle, rent-maximizing landlords. Female peasants are heterogeneous with respect to physical strength, but, on average, are assumed to have less brawn relative to male peasants and, thus, have a comparative advantage in the pastoral sector. Both sectors use land as a production input, although the pastoral sector is more land-intensive than cereal production. All land is owned by the landlords, who can rent it out for peasant cereal farming, or use it for large-scale livestock farming, for which they hire female workers. Crucially, women can only work and earn wages in the pastoral sector as long as they are unmarried. Footnote 23 Peasant women decide when to marry and, upon marriage, a peasant couple forms a new household, where husband and wife both work on cereal farming, and have children at a given time frequency. Thus, the only contraceptive method available is delaying marriage. Because women derive utility from consumption and children, they face a trade-off between earned income and marriage.
Initially, the economy rests in a Malthusian regime, where land-labor ratios are relatively low, making the land-intensive pastoral sector unattractive and depressing relative female wages. As a result, women marry early and fertility is high. The initial regime ends in 1348–1350, when the Black Death kills between one third and half of Europe’s population, exogenously generating land abundance and, therefore, raising the relative wages of female labor in pastoral production. Women postpone marriage to reap higher wages, and fertility decreases—moving the economy to a regime of late marriages and low fertility.
In addition to late marital ages and reduced fertility, another important feature of the “European Marriage Pattern” was individual consent for marriage. Edlund and Lagerlöf ( 2006 ) study how rules of consent for marriage influence long-run economic development. In their model, marriages can be formed according to two types of consent rules: individual consent or parental consent. Under individual consent, young people are free to marry whomever they wish, while, under parental consent, their parents are in charge of arranging the marriage. Depending on the prevailing rule, the recipient of the bride-price differs. Under individual consent, a woman receives the bride-price from her husband, whereas, under parental consent, her father receives the bride-price from the father of the groom. Footnote 24 In both situations, the father of the groom owns the labor income of his son and, therefore, pays the bride-price, either directly, under parental consent, or indirectly, under individual consent. Under individual consent, the father needs to transfer resources to his son to nudge him into marrying. Thus, individual consent implies a transfer of resources from the old to the young and from men to women, relative to the rule of parental consent. Redistributing resources from the old to the young boosts long-run economic growth. Because the young have a longer timespan to extract income from their children’s labor, they invest relatively more in the human capital of the next generation. In addition, under individual consent, the reallocation of resources from men to women can have additional positive effects on growth, by increasing women’s bargaining power (see section 4 ), although this channel is not explicitly modeled in Edlund and Lagerlöf ( 2006 ).
Tertilt ( 2005 ) explores the effects of polygyny on long-run development through its impact on savings and fertility. In her model, parental consent applies to women, while individual consent applies to men. There is a competitive marriage market where fathers sell their daughters and men buy their wives. As each man is allowed (and wants) to marry several wives, a positive bride-price emerges in equilibrium. Footnote 25 Upon marriage, the reproductive rights of the bride are transferred from her father to her husband, who makes all fertility decisions on his own and, in turn, owns the reproductive rights of his daughters. From a father’s perspective, daughters are investments goods; they can be sold in the marriage market, at any time. This feature generates additional demand for daughters, which increases overall fertility, and reduces the incentives to save, which decreases the stock of physical capital. Under monogamy, in contrast, the equilibrium bride-price is negative (i.e., a dowry). The reason is that maintaining unmarried daughters is costly for their fathers, so they are better-off paying a (small enough) dowry to their future husbands. In this setting, the economic returns to daughters are lower and, consequently, so is the demand for children. Fertility decreases and savings increase. Thus, moving from polygny to monogamy lowers population growth and raises the capital stock in the long run, which translates into higher output per capita in the steady state.
Instead of enforcing monogamy in a traditionally polygynous setting, an alternative policy is to transfer marriage consent from fathers to daughters. Tertilt ( 2006 ) shows that when individual consent is extended to daughters, such that fathers do not receive the bride-price anymore, the consequences are qualitatively similar to a ban on polygyny. If fathers stop receiving the bride-price, they save more physical capital. In the long run, per capita output is higher when consent is transferred to daughters.
Grossbard-Shechtman ( 1984 ) develops the first non-cooperative model where (monogamous) marriage, home production, and labor supply decisions are interdependent. Footnote 26 Spouses are modeled as separate agents deciding over production and consumption. Marriage becomes an implicit contract for ‘work-in-household’ (WiHo), defined as “an activity that benefits another household member [typically a spouse] who could potentially compensate the individual for these efforts” (Grossbard 2015 , p. 21). Footnote 27 In particular, each spouse decides how much labor to supply to market work and WiHo, and how much labor to demand from the other spouse for WiHo. Through this lens, spousal decisions over the intra-marriage distribution of consumption and WiHo are akin to well-known principal-agent problems faced between firms and workers. In the marriage market equilibrium, a spouse benefiting from WiHo (the principal) must compensate the spouse producing it (the agent) via intra-household transfers (of goods or leisure). Footnote 28 Grossbard-Shechtman ( 1984 ) and Grossbard ( 2015 ) show that, under these conditions, the ratio of men to women (i.e., the sex ratio) in the marriage market is inversely related to female labor supply to the market. The reason is that, as the pool of potential wives shrinks, prospective husbands have to increase compensation for female WiHo. From the potential wife’s point of view, as the equilibrium price for her WiHo increases, market work becomes less attractive. Conversely, when sex ratios are lower, female labor supply outside the home increases. Although the model does not explicit derive growth implications, the relative increase in female labor supply is expected to be beneficial for economic growth, as argued by many of the theories reviewed so far.
In an extension of this framework, Grossbard & Pereira ( 2015 ) analyze how sex ratios affect gendered savings over the marital life-cycle. Assuming that women supply a disproportionate amount of labor for WiHo (due, for example, to traditional gender norms), the authors show that men and women will have very distinct saving trajectories. A higher sex ratio increases savings by single men, who anticipate higher compensation transfers for their wives’ WiHo, whereas it decreases savings by single women, who anticipate receiving those transfers upon marriage. But the pattern flips after marriage: precautionary savings raise among married women, because the possibility of marriage dissolution entails a loss of income from WiHo. The opposite effect happens for married men: marriage dissolution would imply less expenditures in the future. The higher the sex ratio, the higher will be the equilibrium compensation paid by husbands for their wives’ WiHo. Therefore, the sex ratio will positively affect savings among single men and married women, but negatively affect savings among single women and married men. The net effect on the aggregate savings rate and on economic growth will depend on the relative size of these demographic groups.
In a related article, Du & Wei ( 2013 ) propose a model where higher sex ratios worsen marriage markets prospects for young men and their families, who react by increasing savings. Women in turn reduce savings. However, because sex ratios shift the composition of the population in favor of men (high saving type) relative to women (low saving type) and men save additionally to compensate for women’s dis-saving, aggregate savings increase unambiguously with sex ratios.
In Guvenen & Rendall ( 2015 ), female education is, in part, demanded as insurance against divorce risk. The reason is that divorce laws often protect spouses’ future labor market earnings (i.e., returns to human capital), but force them to share their physical assets. Because, in the model, women are more likely to gain custody of their children after divorce, they face higher costs from divorce relative to their husbands. Therefore, the higher the risk of divorce, the more women invest in human capital, as insurance against a future vulnerable economic position. Guvenen & Rendall ( 2015 ) shows that, over time, divorce risk has increased (for example, consensual divorce became replaced by unilateral divorce in most US states in the 1970s). In the aggregate, higher divorce risk boosted female education and female labor supply.
In summary, the rules regulating marriage and household formation carry relevant theoretical consequences for economic development. While the few studies on this topic have focused on age at marriage, consent rules and polygyny, and the interaction between sex ratios, marriage, and labor supply, other features of the marriage market remain largely unexplored (Borella, De Nardi and Yang 2018 ). Growth theorists would benefit from further incorporating theories of household formation in gendered macro models. Footnote 29
6 Conclusion
In this article, we surveyed micro-founded theories linking gender inequality to economic development. This literature offers many plausible mechanisms through which inequality between men and women affects the aggregate economy (see Table 1 ). Yet, we believe the body of theories could be expanded in several directions. We discuss them below and highlight lessons for policy.
The first direction for future research concerns control over fertility. In models where fertility is endogenous, households are always able to achieve their preferred number of children (see Strulik 2019 , for an exception). The implicit assumption is that there is a free and infallible method of fertility control available for all households—a view rejected by most demographers. The gap between desired fertility and achieved fertility can be endogeneized at three levels. First, at the societal level, the diffusion of particular contraceptive methods may be influenced by cultural and religious norms. Second, at the household level, fertility control may be object of non-cooperative bargaining between the spouses, in particular, for contraceptive methods that only women perfectly observe (Ashraf, Field and Lee 2014 ; Doepke & Kindermann 2019 ). More generally, the role of asymmetric information within the household is not yet explored (Walther 2017 ). Third, if parents have preferences over the gender composition of their offspring, fertility is better modeled as a sequential and uncertain process, where household size is likely endogenous to the sex of the last born child (Hazan & Zoabi 2015 ).
A second direction worth exploring concerns gender inequality in a historical perspective. In models with multiple equilibria, an economy’s path is often determined by its initial level of gender equality. Therefore, it would be useful to develop theories explaining why initial conditions varied across societies. In particular, there is a large literature on economic and demographic history documenting how systems of marriage and household formation differed substantially across preindustrial societies (e.g., De Moor & Van Zanden 2010 ; Hajnal 1965 , 1982 ; Hartman 2004 ; Ruggles 2009 ). In our view, more theoretical work is needed to explain both the origins and the consequences of these historical systems.
A third avenue for future research concerns the role of technological change. In several models, technological change is the exogenous force that ultimately erodes gender gaps in education or labor supply (e.g., Bloom et al. 2015 ; Doepke & Tertilt 2009 ; Galor & Weil 1996 ). For that to happen, technological progress is assumed to be skill-biased, thus raising the returns to education—or, in other words, favoring brain over brawn. As such, new technologies make male advantage in physical strength ever more irrelevant, while making female time spent on childrearing and housework ever more expensive. Moreover, recent technological progress increased the efficiency of domestic activities, thereby relaxing women’s time constraints (e.g., Cavalcanti & Tavares 2008 ; Greenwood, Seshadri and Yorukoglu 2005 ). These mechanisms are plausible, but other aspects of technological change need not be equally favorable for women. In many countries, for example, the booming science, technology, and engineering sectors tend to be particularly male-intensive. And Tejani & Milberg ( 2016 ) provide evidence for developing countries that as manufacturing industries become more capital intensive, their female employment share decreases.
Even if current technological progress is assumed to weaken gender gaps, historically, technology may have played exactly the opposite role. If technology today is more complementary to brain, in the past it could have been more complementary to brawn. An example is the plow that, relative to alternative technologies for field preparation (e.g., hoe, digging stick), requires upper body strength, on which men have a comparative advantage over women (Alesina, Giuliano and Nunn 2013 ; Boserup 1970 ). Another, even more striking example, is the invention of agriculture itself—the Neolithic Revolution. The transition from a hunter-gatherer lifestyle to sedentary agriculture involved a relative loss of status for women (Dyble et al. 2015 ; Hansen, Jensen and Skovsgaard 2015 ). One explanation is that property rights on land were captured by men, who had an advantage on physical strength and, consequently, on physical violence. Thus, in the long view of human history, technological change appears to have shifted from being male-biased towards being female-biased. Endogeneizing technological progress and its interaction with gender inequality is a promising avenue for future research.
Fourth, open economy issues are still almost entirely absent. An exception is Rees & Riezman ( 2012 ), who model the effect of globalization on economic growth. Whether global capital flows generate jobs primarily in female or male intensive sectors matters for long-run growth. If globalization creates job opportunities for women, their bargaining power increases and households trade off child quantity by child quality. Fertility falls, human capital accumulates, and long-run per capita output is high. If, on the other hand, globalization creates jobs for men, their intra-household power increases; fertility increases, human capital decreases, and steady-state income per capita is low. The literature would benefit from engaging with open economy demand-driven models of the feminist tradition, such as Blecker & Seguino ( 2002 ), Seguino ( 2010 ). Other fruitful avenues for future research on open economy macro concern gender analysis of global value chains (Barrientos 2019 ), gendered patterns of international migration (Cortes 2015 ; Cortes & Tessada 2011 ), and the diffusion of gender norms through globalization (Beine, Docquier and Schiff 2013 ; Klasen 2020 ; Tuccio & Wahba 2018 ).
A final point concerns the role of men in this literature. In most theoretical models, gender inequality is not the result of an active male project that seeks the domination of women. Instead, inequality emerges as a rational best response to some underlying gender gap in endowments or constraints. Then, as the underlying gap becomes less relevant—for example, due to skill-biased technological change—, men passively relinquish their power (see Doepke & Tertilt 2009 , for an exception). There is never a male backlash against the short-term power loss that necessarily comes with female empowerment. In reality, it is more likely that men actively oppose losing power and resources towards women (Folbre 2020 ; Kabeer 2016 ; Klasen 2020 ). This possibility has not yet been explored in formal models, even though it could threaten the typical virtuous cycle between gender equality and growth. If men are forward-looking, and the short-run losses outweigh the dynamic gains from higher growth, they might ensure that women never get empowered to begin with. Power asymmetries tend to be sticky, because “any group that is able to claim a disproportionate share of the gains from cooperation can develop social institutions to fortify their position” (Folbre 2020 , p. 199). For example, Eswaran & Malhotra ( 2011 ) set up a household decision model where men use domestic violence against their wives as a tool to enhance male bargaining power. Thus, future theories should recognize more often that men have a vested interest on the process of female empowerment.
More generally, policymakers should pay attention to the possibility of a male backlash as an unintended consequence of female empowerment policies (Erten & Keskin 2018 ; Eswaran & Malhotra 2011 ). Likewise, whereas most theories reviewed here link lower fertility to higher economic growth, the relationship is non-monotonic. Fertility levels below the replacement rate will eventually generate aggregate social costs in the form of smaller future workforces, rapidly ageing societies, and increased pressure on welfare systems, to name a few.
Many theories presented in this survey make another important practical point: public policies should recognize that gender gaps in separate dimensions complement and reinforce one another and, therefore, have to be dealt with simultaneously. A naïve policy targeting a single gap in isolation is unlikely to have substantial growth effects in the short run. Typically, inequalities in separate dimensions are not independent from each other (Agénor 2017 ; Bandiera & Does 2013 ; Duflo 2012 ; Kabeer 2016 ). For example, if credit-constrained women face weak property rights, are unable to access certain markets, and have mobility and time constraints, then the marginal return to capital may nevertheless be larger for men. Similarly, the return to male education may well be above the female return if demand for female labor is low or concentrated in sectors with low productivity. In sum, “the fact that women face multiple constraints means that relaxing just one may not improve outcomes” (Duflo 2012 , p. 1076).
Promising policy directions that would benefit from further macroeconomic research are the role of public investments in physical infrastructure and care provision (Agénor 2017 ; Braunstein, Bouhia and Seguino 2020 ), gender-based taxation (Guner, Kaygusuz and Ventura 2012 ; Meier & Rainer 2015 ), and linkages between gender equality and pro-environmental agendas (Matsumoto 2014 ).
See Echevarria & Moe ( 2000 ) for a similar complaint that “theories of economic growth and development have consistently neglected to include gender as a variable” (p. 77).
A non-exhaustive list includes Bandiera & Does ( 2013 ), Braunstein ( 2013 ), Cuberes & Teignier ( 2014 ), Duflo ( 2012 ), Kabeer ( 2016 ), Kabeer & Natali ( 2013 ), Klasen ( 2018 ), Seguino ( 2013 , 2020 ), Sinha et al. ( 2007 ), Stotsky ( 2006 ), World Bank ( 2001 , 2011 ).
For an in-depth history of “new home economics” see Grossbard-Shechtman ( 2001 ) and Grossbard ( 2010 , 2011 ).
For recent empirical reviews see Duflo ( 2012 ) and Doss ( 2013 ).
Although the unitary approach has being rejected on theoretical (e.g., Echevarria & Moe 2000 ; Folbre 1986 ; Knowles 2013 ; Sen 1989 ) and empirical grounds (e.g., Doss 2013 ; Duflo 2003 ; Lundberg et al. 1997 ), these early models are foundational to the subsequent literature. As it turns out, some of the key mechanisms survive in non-unitary theories of the household.
For nice conceptual perspectives on conflict and cooperation in households see Sen ( 1989 ), Grossbard ( 2011 ), and Folbre ( 2020 ).
The relationship depicted in Fig. 1 is robust to using other composite measures of gender equality (e.g., UNDP’s Gender Inequality Index or OECD’s Social Institutions and Gender Index (SIGI) (see Branisa, Klasen and Ziegler 2013 )), and other years besides 2000. In Fig. 2 , the linear prediction explains 56 percent of the cross-country variation in per capita income.
See Seguino ( 2013 , 2020 ) for a review of this literature.
The model allows for sorting on ability (“some people are better teachers”) or sorting on occupation-specific preferences (“others derive more utility from working as a teacher”) (Hsieh et al. 2019 , p. 1441). Here, we restrict our presentation to the case where sorting occurs primarily on ability. The authors find little empirical support for sorting on preferences.
Because the home sector is treated as any other occupation, the model can capture, in a reduced-form fashion, social norms on women’s labor force participation. For example, a social norm on traditional gender roles can be represented as a utility premium obtained by all women working on the home sector.
Note, however, that discrimination against women raises productivity in the non-agricultural sector. The reason is that the few women who end up working outside agriculture are positively selected on talent. Lee ( 2020 ) shows that this countervailing effect is modest and dominated by the loss of productivity in agriculture.
This is not the classic Beckerian quantity-quality trade-off because parents cannot invest in the quality of their children. Instead, the mechanism is built by assumption in the household’s utility function. When women’s wages increase relative to male wages, the substitution effect dominates the income effect.
The hypothesis that female labor force participation and economic development have a U-shaped relationship—known as the feminization-U hypothesis—goes back to Boserup ( 1970 ). See also Goldin ( 1995 ). Recently, Gaddis & Klasen ( 2014 ) find only limited empirical support for the feminization-U.
The model does not consider fertility decisions. Parents derive utility from their children’s human capital (social status utility). When household income increases, parents want to “consume” more social status by investing in their children’s education—this is the positive income effect.
Bloom et al. ( 2015 ) build their main model with unitary households, but show that the key conclusions are robust to a collective representation of the household.
This assumption does not necessarily mean that boys are more talented than girls. It can be also interpreted as a reduced-form way of capturing labor market discrimination against women.
Many empirical studies are in line with this assumption, which is rooted in evolutionary psychology. See Strulik ( 2019 ) for references. There are several other evolutionary arguments for men wanting more children (including with different women). See, among others, Mulder & Rauch ( 2009 ), Penn & Smith ( 2007 ), von Rueden & Jaeggi ( 2016 ). However, for a different view, see Fine ( 2017 ).
They do not model fertility decisions. So there is no quantity-quality trade-off.
In their empirical application, Heath & Tan ( 2020 ) study the Hindu Succession Act, which, through improved female inheritance rights, increased the lifetime unearned income of Indian women. Other policies consistent with the model are, for example, unconditional cash transfers to women.
De la Croix & Vander Donckt ( 2010 ) show this with numerical simulations, because the interior regime becomes analytically intractable.
We focus on gender-related policies in our presentation, but the article simulates additional public policies.
Agénor and Agénor ( 2014 ) develop a similar model, but with unitary households, and Agénor and Canuto ( 2015 ) have a similar model of collective households for Brazil, where adult women can also invest time in human capital formation. Since public infrastructure substitutes for women’s time in home production, more (or better) infrastructure can free up time for female human capital accumulation and, thus, endogenously increase wives’ bargaining power.
Voigtländer and Voth ( 2013 ) justify this assumption arguing that, in England, employment contracts for farm servants working in animal husbandry were conditional on celibacy. However, see Edwards & Ogilvie ( 2018 ) for a critique of this assumption.
The bride-price under individual consent need not be paid explicitly as a lump-sum transfer. It could, instead, be paid to the bride implicitly in the form of higher lifetime consumption.
In Tertilt ( 2005 ), all men are similar (except in age). Widespread polygyny is possible because older men marry younger women and population growth is high. This setup reflects stylized facts for Sub-Saharan Africa. It differs from models that assume male heterogeneity in endowments, where polygyny emerges because a rich male elite owns several wives, while poor men remain single (e.g., Gould, Moav and Simhon 2008 ; Lagerlöf 2005 , 2010 ).
See Grossbard ( 2015 ) for more details and extensions of this model and Grossbard ( 2018 ) for a non-technical overview of the related literature. For an earlier application, see Grossbard ( 1976 ).
The concept of WiHo is closely related but not equivalent to the ‘black-box’ term home production used by much of the literature. It also relates to feminist perspectives on care and social reproduction labor (c.f. Folbre 1994 ).
In the general setup, the model need not lead to a corner solution where only one spouse specializes in WiHo.
For promising approaches, see, among others, Cubeddu and Ríos-Rull ( 2003 ), Goussé, Jacquemet and Robin ( 2017 ), Greenwood, Guner, Kocharkov and Santos ( 2016 ), Guler, Guvenen and Violante ( 2012 ), Walther ( 2017 ), Wong ( 2016 ).
Agénor, P.-R. (2017). A computable overlapping generations model for gender and growth policy analysis. Macroeconomic Dynamics , 21 (1), 11–54.
Article Google Scholar
Agénor, P.-R., & Agénor, M. (2014). Infrastructure, women’s time allocation, and economic development. Journal of Economics , 113 (1), 1–30.
Agénor, P.-R., & Canuto, O. (2015). Gender equality and economic growth in Brazil: A long-run analysis. Journal of Macroeconomics , 43 , 155–172.
Alesina, A., Giuliano, P., & Nunn, N. (2013). On the origins of gender roles: women and the plough. Quarterly Journal of Economics , 128 (2), 469–530.
Ashraf, N., Field, E., & Lee, J. (2014). Household bargaining and excess fertility: an experimental study in Zambia. American Economic Review , 104 (7), 2210–2237.
Bandiera, O., & Does, A. N. (2013). Does gender inequality hinder development and economic growth? evidence and policy implications. World Bank Research Observer , 28 (1), 2–21.
Barrientos, S. (2019). Gender and work in global value chains: Capturing the gains? Cambridge: Cambridge University Press.
Becker, G. S. (1960). An economic analysis of fertility. In Demographic and Economic Change in Developed Countries . Princeton: Princeton University Press, pp. 209–240.
Becker, G. S. (1981). A treatise on the family . Cambridge, Massachusetts: Harvard University Press.
Google Scholar
Becker, G. S., & Barro, R. J. (1988). A reformulation of the economic theory of fertility. Quarterly Journal of Economics , 103 (1), 1–26.
Beine, M., Docquier, F., & Schiff, M. (2013). International migration, transfer of norms and home country fertility. Canadian Journal of Economics , 46 (4), 1406–1430.
Blecker, R. A., & Seguino, S. (2002). Macroeconomic effects of reducing gender wage inequality in an export-oriented, semi-industrialized economy. Review of Development Economics , 6 (1), 103–119.
Bloom, D. E., Kuhn, M., & Prettner, K. (2015). The Contribution of Female Health to Economic Development . NBER Working Paper 21411, National Bureau of Economic Research, Cambridge, MA.
Borella, M., De Nardi, M., & Yang, F. (2018). The aggregate implications of gender and marriage. The Journal of the Economics of Ageing , 11 , 6–26.
Boserup, E. (1970). Woman’s role in economic development . London: George Allen and Unwin Ltd.
Branisa, B., Klasen, S., & Ziegler, M. (2013). Gender inequality in social institutions and gendered development outcomes. World Development , 45 , 252–268.
Braunstein, E. (2013). Gender, growth and employment. Development , 56 (1), 103–113.
Braunstein, E., Bouhia, R., & Seguino, S. (2020). Social reproduction, gender equality and economic growth. Cambridge Journal of Economics , 44 (1), 129–156.
Carmichael, S. G., de Pleijt, A., van Zanden, J. L., & De Moor, T. (2016). The European marriage pattern and its measurement. Journal of Economic History , 76 (01), 196–204.
Cavalcanti, T., & Tavares, J. (2016). The output cost of gender discrimination: a model-based macroeconomics estimate. Economic Journal , 126 (590), 109–134.
Cavalcanti, T. Vd. V., & Tavares, J. (2008). Assessing the "Engines of Liberation”: Home Appliances and Female Labor Force Participation. The Review of Economics and Statistics , 90 (1), 81–88.
Cortes, P. (2015). The feminization of international migration and its effects on the children left behind: evidence from the Philippines. World Development , 65 , 62–78.
Cortes, P., & Tessada, J. (2011). Low-skilled immigration and the labor supply of highly skilled women. American Economic Journal: Applied Economics , 3 (3), 88–123.
Cubeddu, L., & Ríos-Rull, J.-V. (2003). Families as shocks. Journal of the European Economic Association , 1 (2–3), 671–682.
Cuberes, D., & Teignier, M. (2014). Gender inequality and economic growth: a critical review. Journal of International Development , 26 (2), 260–276.
Cuberes, D., & Teignier, M. (2016). Aggregate effects of gender gaps in the labor market: a quantitative estimate. Journal of Human Capital , 10 (1), 1–32.
Cuberes, D., & Teignier, M. (2017). Macroeconomic costs of gender gaps in a model with entrepreneurship and household production. The B.E. Journal of Macroeconomics , 18 (1), 20170031.
De la Croix, D., & VanderDonckt, M. (2010). Would empowering women initiate the demographic transition in least developed countries? Journal of Human Capital , 4 (2), 85–129.
De Moor, T., & Van Zanden, J. L. (2010). Girl power: The European marriage pattern and labour markets in the north sea region in the late medieval and early modern period. Economic History Review , 63 (1), 1–33.
Dennison, T., & Ogilvie, S. (2014). Does the European marriage pattern explain economic growth? Journal of Economic History , 74 (3), 651–693.
Diebolt, C., & Perrin, F. (2013). From stagnation to sustained growth: the role of female empowerment. American Economic Review , 103 (3), 545–549.
Doepke, M., & Kindermann, F. (2019). Bargaining over babies: Theory, evidence, and policy implications. American Economic Review , 109 (9), 3264–3306.
Doepke, M., & Tertilt, M. (2009). Women’s Liberation: What’s in It for Men? Quarterly Journal of Economics , 124 (4), 1541–1591.
Doepke, M., & Tertilt, M. (2016). Families in macroeconomics. In J. B. Taylor and H. Uhlig (eds.), Handbook of Macroeconomics , vol. 2, Amsterdam: Elsevier, pp. 1789–1891.
Doepke, M., & Tertilt, M. (2019). Does female empowerment promote economic development? Journal of Economic Growth , 24 (4), 309–343.
Doepke, M., Tertilt, M., & Voena, A. (2012). The economics and politics of women’s rights. Annual Review of Economics , 4 (1), 339–372.
Doss, C. (2013). Intrahousehold bargaining and resource allocation in developing countries. The World Bank Research Observer , 28 (1), 52–78.
Du, Q., & Wei, S.-J. (2013). A theory of the competitive saving motive. Journal of International Economics , 91 (2), 275–289.
Duflo, E. (2003). Grandmothers and granddaughters: old-age pensions and intrahousehold allocation in South Africa. The World Bank Economic Review , 17 (1), 1–25.
Duflo, E. (2012). Women empowerment and economic development. Journal of Economic Literature , 50 (4), 1051–1079.
Dyble, M., Salali, G. D., Chaudhary, N., Page, A., Smith, D., Thompson, J., Vinicius, L., Mace, R., & Migliano, A. B. (2015). Sex equality can explain the unique social structure of hunter-gatherer bands. Science , 348 (6236), 796–798.
Echevarria, C., & Moe, K. S. (2000). On the need for gender in dynamic models. Feminist Economics , 6 (2), 77–96.
Edlund, L., & Lagerlöf, N.-P. (2006). Individual versus parental consent in marriage: implications for intra-household resource allocation and growth. American Economic Review , 96 (2), 304–307.
Edwards, J., & Ogilvie, S. (2018). Did the Black Death cause economic development by “inventing” fertility restriction? CESifo Working Papers 7016, Munich.
Erten, B., & Keskin, P. (2018). For better or for worse? Education and the prevalence of domestic violence in Turkey. American Economic Journal: Applied Economics , 10 (1), 64–105.
Esteve-Volart, B. (2009). Gender discrimination and growth: theory and evidence from India . Mimeo: York University.
Eswaran, M., & Malhotra, N. (2011). Domestic violence and women’s autonomy in developing countries: theory and evidence. Canadian Journal of Economics , 44 (4), 1222–1263.
Fine, C. (2017). Testosterone rex: Myths of sex, science, and society . New York, NY: WW Norton & Company.
Folbre, N. (1986). Hearts and spades: paradigms of household economics. World Development , 14 (2), 245–255.
Folbre, N. (1994). Who pays for the kids: gender and the structures of constraint . New York: Routledge.
Book Google Scholar
Folbre, N. (2020). Cooperation & conflict in the patriarchal labyrinth. Daedalus , 149 (1), 198–212.
Gaddis, I., & Klasen, S. (2014). Economic development, structural change, and women’s labor force participation. Journal of Population Economics , 27 (3), 639–681.
Galor, O. (2005a). From stagnation to growth: unified growth theory. Handbook of Economic Growth , vol. 1, North-Holland: Elsevier, pp. 171–293.
Galor, O. (2005b). The demographic transition and the emergence of sustained economic growth. Journal of the European Economic Association , 3 (2-3), 494–504.
Galor, O., & Weil, D. N. (1996). The gender gap, fertility, and growth. American Economic Review , 86 (3), 374–387.
Goldin, C. (1995). The U-shaped female labor force function in economic development and economic history. In T. P. Schultz (ed.), Investment in Women’s Human Capital and Economic Development . Chicago, IL: University of Chicago Press, pp. 61–90.
Gould, E. D., Moav, O., & Simhon, A. (2008). The mystery of monogamy. American Economic Review , 98 (1), 333–57.
Goussé, M., Jacquemet, N., & Robin, J.-M. (2017). Household labour supply and the marriage market in the UK, 1991-2008. Labour Economics , 46 , 131–149.
Greenwood, J., Guner, N., Kocharkov, G., & Santos, C. (2016). Technology and the changing family: a unified model of marriage, divorce, educational attainment, and married female labor-force participation. American Economic Journal: Macroeconomics , 8 (1), 1–41.
Greenwood, J., Guner, N., & Vandenbroucke, G. (2017). Family economics writ large. Journal of Economic Literature , 55 (4), 1346–1434.
Greenwood, J., Seshadri, A., & Yorukoglu, M. (2005). Engines of liberation. Review of Economic Studies , 72 (1), 109–133.
Grimm, M. (2003). Family and economic growth: a review. Mathematical Population Studies , 10 (3), 145–173.
Grossbard, A. (1976). An economic analysis of polygyny: The case of Maiduguri. Current Anthropology , 17 (4), 701–707.
Grossbard, S. (2010). How “Chicagoan” are Gary Becker’s Economic Models of Marriage? Journal of the History of Economic Thought , 32 (3), 377–395.
Grossbard, S. (2011). Independent individual decision-makers in household models and the New Home Economics. In J. A. Molina (ed.), Household Economic Behaviors . New York, NY: Springer, pp. 41–56.
Grossbard, S. (2015). The Marriage Motive: A Price Theory of Marriage. How Marriage Markets Affect Employment, Consumption, and Savings . New York, NY: Springer.
Grossbard, S. (2018). Marriage and Marriage Markets. In S. L. Averett, L. M. Argys and S. D. Hoffman (eds.), The Oxford Handbook of Women and the Economy . New York, NY: Oxford University Press, pp. 55–74.
Grossbard, S., & Pereira, A. M. (2015). Savings, Marriage, and Work-in-Household. In S. Grossbard, The Marriage Motive . New York, NY: Springer New York, pp. 191–209.
Grossbard-Shechtman, A. (1984). A theory of allocation of time in markets for labour and marriage. The Economic Journal , 94 (376), 863–882.
Grossbard-Shechtman, S. (2001). The new home economics at Colombia and Chicago. Feminist Economics , 7 (3), 103–130.
Guinnane, T. W. (2011). The historical fertility transition: a guide for economists. Journal of Economic Literature , 49 (3), 589–614.
Guler, B., Guvenen, F., & Violante, G. L. (2012). Joint-search theory: new opportunities and new frictions. Journal of Monetary Economics , 59 (4), 352–369.
Guner, N., Kaygusuz, R., & Ventura, G. (2012). Taxation and household labour supply. The Review of Economic Studies , 79 (3), 1113–1149.
Guvenen, F., & Rendall, M. (2015). Women’s emancipation through education: a macroeconomic analysis. Review of Economic Dynamics , 18 (4), 931–956.
Hajnal, J. (1965). European Marriage Patterns in Perspective. In D. V. Glass and D. E. C. Eversley (eds.), Population in History: Essays in Historical Demography , 6 . London: Edward Arnold Ltd, pp. 101–143.
Hajnal, J. (1982). Two kinds of preindustrial household formation system. Population and Development Review , 8 (3), 449–494.
Hansen, C. W., Jensen, P. S., & Skovsgaard, C. V. (2015). Modern gender roles and agricultural history: the neolithic inheritance. Journal of Economic Growth , 20 (4), 365–404.
Hartman, M. S. (2004). The Household and the Making of History: A Subversive View of the Western Past . Cambridge: Cambridge University Press.
Hazan, M., & Zoabi, H. (2015). Sons or daughters? Sex preferences and the reversal of the gender educational gap. Journal of Demographic Economics , 81 (2), 179–201.
Heath, R., & Tan, X. (2020). Intrahousehold bargaining, female autonomy, and labor supply: theory and evidence from India. Journal of the European Economic Association , 18 (4), 1928–1968.
Hiller, V. (2014). Gender inequality, endogenous cultural norms, and economic development. Scandinavian Journal of Economics , 116 (2), 455–481.
Hsieh, C.-T., Hurst, E., Jones, C. I., & Klenow, P. J. (2019). The allocation of talent and US economic growth. Econometrica , 87 (5), 1439–1474.
Kabeer, N. (2016). Gender equality, economic growth, and women’s agency: the “endless variety” and “monotonous similarity” of patriarchal constraints. Feminist Economics , 22 (1), 295–321.
Kabeer, N., & Natali, L. (2013). Gender Equality and Economic Growth: Is there a Win-Win? IDS Working Papers 417. Brighton: Institute of Development Studies.
Kimura, M., & Yasui, D. (2010). The Galor-Weil gender-gap model revisited: from home to market. Journal of Economic Growth , 15 , 323–351.
Klasen, S. (2018). The impact of gender inequality on economic performance in developing countries. Annual Review of Resource Economics , 10 , 279–298.
Klasen, S. (2020). From ‘MeToo’ to Boko Haram: a survey of levels and trends of gender inequality in the world. World Development , 128 , 104862.
Knowles, J. A. (2013). Why are married men working so much? An aggregate analysis of intra-household bargaining and labour supply. Review of Economic Studies , 80 (3), 1055–1085.
Lagerlöf, N.-P. (2003). Gender equality and long-run growth. Journal of Economic Growth , 8 , 403–426.
Lagerlöf, N.-P. (2005). Sex, equality, and growth. Canadian Journal of Economics , 38 (3), 807–831.
Lagerlöf, N.-P. (2010). Pacifying monogamy. Journal of Economic Growth , 15 (3), 235–262.
Lee, M. (2020). Allocation of Female Talent and Cross-Country Productivity Differences . Mimeo: UC San Diego.
Lucas, R. E. (1988). On the mechanics of economic development. Journal of Monetary Economics , 22 (1), 3–42.
Lundberg, S. J., Pollak, R. A., & Wales, T. J. (1997). Do husbands and wives pool their resources? Evidence from the United Kingdom child benefit. Journal of Human Resources , 32 (3), 463–480.
Martineau, H. (1837). Society in America , vol. 3. London: Saunders & Otley.
Matsumoto, S. (2014). Spouses’ time allocation to pro-environmental activities: Who is saving the environment at home? Review of Economics of the Household , 12 (1), 159–176.
Meier, V., & Rainer, H. (2015). Pigou meets Ramsey: gender-based taxation with non-cooperative couples. European Economic Review , 77 , 28–46.
Mulder, M. B., & Rauch, K. L. (2009). Sexual conflict in humans: variations and solutions. Evolutionary Anthropology: Issues, News, and Reviews , 18 (5), 201–214.
Penn, D. J., & Smith, K. R. (2007). Differential fitness costs of reproduction between the sexes. Proceedings of the National Academy of Sciences , 104 (2), 553–558.
Prettner, K., & Strulik, H. (2017). Gender equity and the escape from poverty. Oxford Economic Papers , 69 (1), 55–74.
Rees, R., & Riezman, R. (2012). Globalization, gender, and growth. Review of Income and Wealth , 58 (1), 107–117.
Reher, D. S. (2004). The demographic transition revisited as a global process. Population, Space and Place , 10 (1), 19–41.
Roy, A. D. (1951). Some thoughts on the distribution of earnings. Oxford Economic Papers , 3 (2), 135–146.
Ruggles, S. (2009). Reconsidering the Northwest European Family System: Living Arrangements of the Aged in Comparative Historical Perspective. Population and Development Review , 35 (2), 249–273.
Seguino, S. (2010). Gender, distribution, and balance of payments constrained growth in developing countries. Review of Political Economy , 22 (3), 373–404.
Seguino, S. (2013). From micro-level gender relations to the macro economy and back again. In D. M. Figart and T. L. Warnecke (eds.), Handbook of Research on Gender and Economic Life . Cheltenham: Edward Elgar Publishing, pp. 325–344.
Seguino, S. (2020). Engendering macroeconomic theory and policy. Feminist Economics , 26 , 27–61.
Sen, A. (1989). Cooperation, inequality, and the family. Population and Development Review , 15 , 61–76.
Sinha, N., Raju, D., & Morrison, A. (2007). Gender equality, poverty and economic growth . World Bank Policy Research Paper 4349. Washington, DC: The World Bank.
Stotsky, J. G. (2006). Gender and its relevance to macroeconomic policy: a survey . IMF Working Paper 06/233. Washington, DC: International Monetary Fund.
Strulik, H. (2019). Desire and development. Macroeconomic Dynamics , 23 (7), 2717–2747.
Tejani, S., & Milberg, W. (2016). Global defeminization? Industrial upgrading and manufacturing employment in developing countries. Feminist Economics , 22 (2), 24–54.
Tertilt, M. (2005). Polygyny, fertility, and savings. Journal of Political Economy , 113 (6), 1341–1371.
Tertilt, M. (2006). Polygyny, women’s rights, and development. Journal of the European Economic Association , 4 , 523–530.
Tuccio, M., & Wahba, J. (2018). Return migration and the transfer of gender norms: evidence from the Middle East. Journal of Comparative Economics , 46 (4), 1006–1029.
Voigtländer, N., & Voth, H.-J. (2013). How the West “invented” fertility restriction. American Economic Review , 103 (6), 2227–2264.
von Rueden, C. R., & Jaeggi, A. V. (2016). Men’s status and reproductive success in 33 nonindustrial societies: effects of subsistence, marriage system and reproductive strategy. Proceedings of the National Academy of Sciences , 113 (39), 10824–10829.
Walther, S. (2017). Moral hazard in marriage: the use of domestic labor as an incentive device. Review of Economics of the Household , 15 (2), 357–382.
Wong, H.-P. C. (2016). Credible commitments and marriage: when the homemaker gets her share at divorce. Journal of Demographic Economics , 82 (3), 241–279.
World Bank (2001). Engendering Development Through Gender Equality in Rights, Resources, and Voice . New York, NY: Oxford University Press.
World Bank (2011). World Development Report 2012: Gender Equality and Development . Washington, DC: The World Bank.
Zhang, J., Zhang, J., & Li, T. (1999). Gender bias and economic development in an endogenous growth model. Journal of Development Economics , 59 (2), 497–525.
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We thank the Editor, Shoshana Grossbard, and three anonymous reviewers for helpful comments. We gratefully acknowledge funding from the Growth and Economic Opportunities for Women (GrOW) initiative, a multi-funder partnership between the UK’s Department for International Development, the Hewlett Foundation and the International Development Research Centre. All views expressed here and remaining errors are our own. Manuel dedicates this article to Stephan Klasen, in loving memory.
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Santos Silva, M., Klasen, S. Gender inequality as a barrier to economic growth: a review of the theoretical literature. Rev Econ Household 19 , 581–614 (2021). https://doi.org/10.1007/s11150-020-09535-6
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The impact a-gender: gendered orientations towards research Impact and its evaluation
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Using an analysis of two independent, qualitative interview data sets: the first containing semi-structured interviews with mid-senior academics from across a range of disciplines at two research-intensive universities in Australia and the UK, collected between 2011 and 2013 ( n = 51); and the second including pre- ( n = 62), and post-evaluation ( n = 57) interviews with UK REF2014 Main Panel A evaluators, this paper provides some of the first empirical work and the grounded uncovering of implicit (and in some cases explicit) gendered associations around impact generation and, by extension, its evaluation. In this paper, we explore the nature of gendered associations towards non-academic impact (Impact) generation and evaluation. The results suggest an underlying yet emergent gendered perception of Impact and its activities that is worthy of further research and exploration as the importance of valuing the ways in which research has an influence ‘beyond academia’ increases globally. In particular, it identifies how researchers perceive that there are some personality traits that are better orientated towards achieving Impact; how these may in fact be gendered. It also identifies how gender may play a role in the prioritisation of ‘hard’ Impacts (and research) that can be counted, in contrast to ‘soft’ Impacts (and research) that are far less quantifiable, reminiscent of deeper entrenched views about the value of different ‘modes’ of research. These orientations also translate to the evaluation of Impact, where panellists exhibit these tendencies prior to its evaluation and describe the organisation of panel work with respect to gender diversity.
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Introduction
The management and measurement of the non-academic impact Footnote 1 (Impact) of research is a consistent theme within the higher education (HE) research environment in the UK, reflective of a drive from government for greater visibility of the benefits of research for the public, policy and commercial sectors (Chubb, 2017 ). This is this mirrored on a global scale, particularly in Australia, where, at the ‘vanguard’ (Upton et al., 2014 , p. 352) of these developments, methods were first devised (but were subsequently abandoned) to measure research impact (Chubb, 2017 ; Hazelkorn and Gibson, 2019 ). What is broadly known in both contexts as an ‘Impact Agenda’—the move to forecast and assess the ways in which investment in academic research delivers measurable socio-economic benefit—initially sparked broad debate and in some instances controversy, among the academic community (and beyond) upon its inception (Chubb, 2017 ). Since then, the debate has continued to evolve and the ways in which impact can be better conceptualised and implemented in the UK, including its role in evaluation (Stern, 2016 ), and more recently in grant applications (UKRI, 2020 ) is robustly debated. Notwithstanding attempts to better the culture of equality and diversity in research, (Stern, 2016 ; Nature, 2019 ) in the broader sense, and despite the implementation of the Impact agenda being studied extensively, there has been very little critical engagement with theories of gender and how this translates specifically to more downstream gendered inequities in HE such as through an impact agenda.
The emergence of Impact brought with it many connotations, many of which were largely negative; freedom was questioned, and autonomy was seen to be at threat because of an audit surveillance culture in HE (Lorenz, 2012 ). Resistance was largely characterised by problematising the agenda as symptomatic of the marketisation of knowledge threatening traditional academic norms and ideals (Merton, 1942 ; Williams, 2002 ) and has led to concern about how the Impact agenda is conceived, implemented and evaluated. This concern extends to perceptions of gendered assumptions about certain kinds of knowledge and related activities of which there is already a corpus of work, i.e., in the case of gender and forms of public engagement (Johnson et al., 2014 ; Crettaz Von Roten, 2011 ). This paper explores what it terms as ‘the Impact a-gender’ (Chubb, 2017 ) where gendered notions of non-academic, societal impact and how it is generated feed into its evaluation. It does not wed itself to any feminist tradition specifically, however, draws on Carey et al. ( 2018 ) to examine, acknowledge and therefore amend how the range of policies within HE and how implicit power dynamics in policymaking produce gender inequalities. Instead, an impact fluidity is encouraged and supported. For this paper, this means examining how the impact a-gender feeds into expectations and the reward of non-academic impact. If left unchecked, the propagation of the impact a-gender, it is argued, has the potential to guard against a greater proportion of women generating and influencing the use of research evidence in public policy decision-making.
Scholars continue to reflect on ‘science as a gendered endeavour’ (Amâncio, 2005 ). The extensive corpus of historical literature on gender in science and its originators (Merton, 1942 ; Keller et al., 1978 ; Kuhn, 1962 ), note the ‘pervasiveness’ of the ‘masculine’ and the ‘objective and the scientific’. Indeed, Amancio affirmed in more recent times that ‘modern science was born as an exclusively masculine activity’ ( 2005 ). The Impact agenda raises yet more obstacles indicative of this pervasiveness, which is documented by the ‘Matthew’/‘Matilda’ effect in Science (Merton, 1942 ; Rossiter, 1993 ). Perceptions of gender bias (which Kretschmer and Kretschmer, 2013 hypothesise as myths in evaluative cultures) persist with respect to how gender effects publishing, pay and reward and other evaluative issues in HE (Ward and Grant, 1996 ). Some have argued that scientists and institutions perpetuate such issues (Amâncio, 2005 ). Irrespective of their origin, perceptions of gendered Impact impede evaluative cultures within HE and, more broadly, the quest for equality in excellence in research impact beyond academia.
To borrow from Van Den Brink and Benschop ( 2012 ), gender is conceptualised as an integral part of organisational practices, situated within a social construction of feminism (Lorber, 2005 ; Poggio, 2006 ). This article uses the notion of gender differences and inequality to refer to the ‘ hierarchical distinction in which either women and femininity and men and masculinity are valued over the other ’ (p. 73), though this is not precluding of individual preferences. Indeed, there is an emerging body of work focused on gendered associations not only about ‘types’ of research and/or ‘areas and topics’ (Thelwall et al., 2019 ), but also about what is referred to as non-academic impact. This is with particular reference to audit cultures in HE such as the Research Excellence Framework (REF), which is the UK’s system of assessing the quality of research (Morley, 2003 ; Yarrow and Davies, 2018 ; Weinstein et al., 2019 ). While scholars have long attended to researching gender differences in relation to the marketisation of HE (Ahmed, 2006 ; Bank, 2011 ; Clegg, 2008 ; Gromkowska-Melosik, 2014 ; Leathwood et al., 2008 ), and the gendering of Impact activities such as outreach and public engagement (Ward and Grant, 1996 ), there is less understanding of how far academic perceptions of Impact are gendered. Further, how these gendered tensions influence panel culture in the evaluation of impact beyond academia is also not well understood. As a recent discussion in the Lancet read ‘ the causes of gender disparities are complex and include both distal and proximal factors ’. (Lundine et al., 2019 , p. 742).
This paper examines the ways in which researchers and research evaluators implicitly perceive gender as related to excellence in Impact both in its generation and in its evaluation. Using an analysis of two existing data sets; the pre-evaluation interviews of evaluators in the UK’s 2014 Research Excellence Framework and interviews with mid-senior career academics from across the range of disciplines with experience of building impact into funding applications and/ or its evaluation in two research-intensive universities in the UK and Australia between 2011 and 2013, this paper explores the implicitly gendered references expressed by our participants relating to the generation of non-academic, impact which emerged inductively through analysis. Both data sets comprise researcher perceptions of impact prior to being subjected to any formalised assessment of research Impact, thus allowing for the identification of unconscious gendered orientations that emerged from participant’s emotional and more abstract views about Impact. It notes how researchers use loaded terminology around ‘hard’, and ‘soft’ when conceptualising Impact that is reminiscent of long-standing associations between epistemological domains of research and notions of masculinity/femininity. It refers to ‘hard’ impact as those that are associated with meaning economic/ tangible and efficiently/ quantifiably evaluated, and ‘soft’ as denoting social, abstract, potentially qualitative or less easily and inefficiently evaluated. By extending this analysis to the gendered notions expressed by REF2014 panellists (expert reviewers whose responsibility it is to review the quality of the retrospective impact articulated in case studies for the purposes of research evaluation) towards the evaluation of Impact, this paper highlights how instead of challenging these tendencies, shared constructions of Impact and gendered productivity in academia act to amplify and embed these gendered notions within the evaluation outcomes and practice. It explores how vulnerable seemingly independent assessments of Impact are to these widespread gendered- associations between Impact, engagement and success. Specifically, perceptions of the excellence and judgements of feasibility relating to attribution, and causality within the narrative of the Impact case study become gendered.
The article is structured as follows. First, it reviews the gender-orientations towards notions of ‘hard’ and ‘soft’ excellence in forms of scholarly distinction and explores how this relates to the REF Impact evaluation criteria, and the under-representation of women in the academic workforce. Specifically, it hypothesises the role of how gendered notions of excellence that construct academic identities contribute to a system that side-lines women in academia. This is despite associating the generation of Impact as a feminised skill. We label this as the ‘Impact a-gender’. The article then outlines the methodology and how the two, independent databases were combined and convergent themes developed. The results are then presented from academics in the UK and Australia and then from REF2014 panellists. This describes how the Impact a-gender currently operates through academic cultural orientations around Impact generation, and in its evaluation through peer-review panels by members of this same academic culture. The article concludes with a recommendation that the Impact a-gender be explored more thoroughly as a necessary step towards guiding against gender- bias in the academic evaluation, and reward system.
Literature review
Notions of impact excellence as ‘hard’ or ‘soft’.
Scholars have long attempted to consider the commonalities and differences across certain kinds of knowledge (Becher, 1989 , 1994 ; Biglan, 1973a ) and attempts to categorise, divide and harmonise the disciplines have been made (Biglan, 1973a , 1973b ; Becher, 1994 ; Caplan, 1979 ; Schommer–Aikins et al., 2003 ). Much of this was advanced with a typology of the disciplines from (Trowler, 2001 ), which categorised the disciplines as ‘hard’ or ‘soft’. Both anecdotally and in the literature, ‘soft’ science is associated with working more with people and less with ‘things’ (Cassell, 2002 ; Thelwall et al., 2019 ). These dichotomies often lead to a hierarchy of types of Impact and oppose valuation of activities based on their gendered connotations.
Biglan’s system of classifying disciplines into groups based on similarities and differences denotes particular behaviours or characteristics, which then form part of clusters or groups—‘pure’, ‘applied’, ‘soft’, ‘hard’ etc. Simpson ( 2017 ) argues that Biglan’s classification persists as one of the most commonly referred to models of the disciplines despite the prominence of some others (Pantin, 1968 ; Kuhn, 1962 ; Smart et al., 2000 ). Biglan ( 1973b ) classified the disciplines across three dimensions; hard and soft, pure and applied, life and non-life (whether the research is concerned with living things/organisms) . This ‘taxonomy of the disciplines’ states that ‘pure-hard’ domains tend toward the life and earth sciences,’pure-soft’ the social sciences and humanities, and ‘applied hard’ focus on engineering and physical science with ‘soft-applied’ tending toward professional practice such as nursing, medicine and education. Biglan’s classification looked at levels of social connectedness and specifically found that applied scholars Footnote 2 were more socially connected, more interested and involved in service activities, and more likely to publish in the form of technical reports than their counterparts in the pure (hard) areas of study. This resonates with how Impact brings renewed currency and academic prominence to applied researchers (Chubb, 2017 ). Historically, scholars inhabiting the ‘hard’ disciplines had a greater preference for research; whereas, scholars representing soft disciplines had a greater preference for teaching (Biglan, 1973b ). Further, Biglan ( 1973b ) also found that hard science scholars sought out greater collaborative efforts among colleagues when teaching as opposed to their soft science counterparts.
There are also long-standing gendered associations and connotations with notions of ‘hard’ and ‘soft’ (Storer, 1967 ). Typically used to refer to skills, but also used heavily with respect to the disciplines and knowledge domains, gendered assumptions and the mere use of ‘hard’ or ‘soft’ to describe knowledge production carries with it assumptions, which are often noted in the literature; ‘ we think of physics as hard and of political science as soft ’, Storer explains, adding how ‘hard seems to imply tough, brittle, impenetrable and strong, while soft on the other hand calls to mind the qualities of weakness, gentleness and malleability’ (p. 76). As described, hard science is typically associated with the natural sciences and quantitative paradigms whereas normative perceptions of feminine ‘soft’ skills or ‘soft’ science are often equated with qualitative social science. Scholars continue to debate dichotomised paradigms or ‘types’ of research or knowledge (Gibbons, 1999 ), which is emblematic of an undercurrent of epistemological hierarchy of the value of different kinds of knowledge. Such debates date back to the heated back and forth between scholars Snow (Snow, 2012 ) and literary critic Leavis who argued for their own ‘cultures’ of knowledge. Notwithstanding, these binary distinctions do few favours when gender is then ascribed to either knowledge domain or related activity (Yarrow and Davies, 2018 ). This is particularly pertinent in light of the current drive for more interdisciplinary research in the science system where there is also a focus on fairness, equality and diversity in the science system.
Academic performance and the Impact a-gender
Audit culture in academia impacts unfairly on women (Morley, 2003 ), and is seen as contributory to the wide gender disparities in academia, including the under-representation of women as professors (Ellemers et al., 2004 ), in leadership positions (Carnes et al., 2015 ), in receiving research acknowledgements (Larivière et al., 2013 ; Sugimoto et al., 2015 ), or being disproportionately concentrated in non-research-intensive universities (Santos and Dang Van Phu, 2019 ). Whereas gender discrimination also manifests in other ways such as during peer review (Lee and Noh, 2013 ), promotion (Paulus et al., 2016 ), and teaching evaluations (Kogan et al., 2010 ), the proliferation of an audit culture links gender disparities in HE to processes that emphasise ‘quantitative’ analysis methods, statistics, measurement, the creation of ‘experts’, and the production of ‘hard evidence’. The assumption here is that academic performance and the metrics used to value, and evaluate it, are heavily gendered in a way that benefits men over women, reflecting current disparities within the HE workforce. Indeed, Morely (2003) suggests that the way in which teaching quality is female dominated and research quality is male dominated, leads to a morality of quality resulting in the larger proportion of women being responsible for student-focused services within HE. In addition, the notion of ‘excellence’ within these audit cultures implicitly reflect images of masculinity such as rationality, measurement, objectivity, control and competitiveness (Burkinshaw, 2015 ).
The association of feminine and masculine traits in academia (Holt and Ellis, 1998 ), and ‘gendering its forms of knowledge production’ (Clegg, 2008 ), is not new. In these typologies, women are largely expected to be soft-spoken, nurturing and understanding (Bellas, 1999 ) yet often invisible and supportive in their ‘institutional housekeeping’ roles (Bird et al., 2004 ). Men, on the other hand are often associated with being competitive, ambitious and independent (Baker, 2008 ). When an individual’s behaviour is perceived to transcend these gendered norms, then this has detrimental effects on how others evaluate their competence, although some traits displayed outside of these typologies go somewhat ‘under the radar’. Nonetheless, studies show that women who display leadership qualities (competitiveness, ambition and decisiveness) are characterised more negatively than men (Rausch, 1989 ; Heilman et al., 1995 ; Rossiter, 1993 ). Incongruity between perceptions of ‘likeability’ and ‘competence’ and its relationship to gender bias is present in evaluations in academia, where success is dependent on the perceptions of others and compounded within an audit culture (Yarrow and Davis, 2018). This has been seen in peer review, reports for men and women applicants, where women were disadvantaged by the same characteristics that were seen as a strength on proposals by men (Severin et al., 2019 ); as well as in teaching evaluations where women receive higher evaluations if they are perceived as ‘nurturing’ and ‘supportive’ (Kogan et al., 2010 ). This results in various potential forms of prejudice in academia: Where traits normally associated with masculinity are more highly valued than those associated with femininity (direct) or when behaviour that is generally perceived to be ‘masculine’ is enacted by a woman and then perceived less favourably (indirect/ unconscious). That is not to mention direct sexism, rather than ‘through’ traits; a direct prejudice.
Gendered associations of Impact are not only oversimplified but also incredibly problematic for an inclusive, meaningful Impact agenda and research culture. Currently, in the UK, the main funding body for research in the UK, UK Research and Innovation (UKRI) uses a broad Impact definition: ‘ the demonstrable contribution that excellent research makes to society and the economy ’ (UKRI website, 2019 ). The most recent REF, REF2014, Impact was defined as ‘ …an effect on, change or benefit to the economy, society, culture, public policy or services, health, the environment or quality of life, beyond academia ’. In Australia, the Australian Research Council (ARC) proposed that researchers should ‘embed’ Impact into the research process from the outset. Both Australia and the UK have been engaged in policy borrowing around the evaluation of societal impact and share many similarities in approaches to generating and evaluating it. Indeed, Impact has been deliberately conceptualised by decision-makers, funders and governments as broad in order to increase the appearance of being inclusivity, to represent a broad range of disciplines, as well as to reflect the ‘diverse ways’ that potential beneficiaries of academic research can be reached ‘beyond academia’. The adoption of societal impact as a formalised criterion in the evaluation of research excellence was initially perceived to be potentially beneficial for women, due to its emphasis on concepts such as ‘public engagement’; ‘duty’ and non-academic ‘cooperation/collaboration’ (Yarrow and Davies, 2018 ). In addition, the adoption of narrative case studies to demonstrate Impact, rather than adopting a complete metrics-focused exercise, can also be seen as an opportunity for women to demonstrate excellence in the areas where they are over-represented, such as teaching, cultural enrichment, public engagement (Andrews et al., 2005 ), informing public policy and improving public services (Schatteman, 2014 ; Wheatle and BrckaLorenz, 2015). However, despite this, studies highlight how for the REF2014, only 25% of Impact Case Studies for business and management studies were from women (Davies et al., 2020 ).
With respect to Impact evaluation, previous research shows that there is a direct link between notions of academic culture, and how research (as a product of that culture) is valued and evaluated (Leathwood and Reid, 2008 ; p. 120). Geertz ( 1983 ) argues that academic membership is a ‘cultural frame that defines a great part of one’s life’ influences belief systems around how academic work is orientated. This also includes gendered associations implicit in the academic reward system, which in turn influences how academics believe success is to be evaluated, and in what form that success emerges. This has implications in how academic associations of the organisation of research work and the ongoing constructions of professional identity relative to gender, feeds into how these same academics operate as evaluators within a peer review system evaluation. In this case, instead of operating to challenge these tendencies, shared constructions of gendered academic work are amplified to the extent that they unconsciously influence perceptions of excellence and the judgements of feasibility as pertaining to the attribution and causality of the narrative argument. As such, in an evaluation of Impact with its ambiguous definition (Derrick, 2018 ), and the lack of external indicators to signal success independent of cultural constructions inherent in the panel membership, effects are assumed to be more acute. In this way, this paper argues that the Impact a-gender can act to further disadvantage women.
The research combines two existing research data sets in order to explore implicit notions of gender associated with the generation and evaluation of research Impact beyond academia. Below the two data sets and the steps involved in analysing and integrating findings are described along with our theoretical positioning within the feminist literature Where verbatim quotation is used, we have labelled the participants according to each study highlighting their role and gender. Further, the evaluator interviews specify the disciplinary panel and subpanel to which they belonged, as well as their evaluation responsibilities such as: ‘Outputs only’; ‘Outputs and Impact’; and ‘Impacts only’.
Analysis of qualitative data sets
This research involved the analysis and combination of two independently collected, qualitative interview databases. The characteristics and specifics of both databases are outlined below.
Interviews with mid-senior academics in the UK and Australia
Fifty-one semi-structured interviews were conducted between 2011 and 2013 with mid-senior academics at two research-intensive universities in Australia and the UK. The interviews were 30–60 min long and participants were sourced via the research offices at both sites. Participants were contacted via email and invited to participate in a study concerning resistance towards the Impact agenda in the UK and Australia and were specifically asked for their perceptions of its relationship with freedom, value and epistemic responsibility and variations across discipline, career stage and national context. Mostly focused on ex ante impact, some interviewees also described their experiences of Impact in the UK and Australia, in relation to its formal assessment as part of the Excellence Innovation Australia (EIA) for Australia and the Research Excellence Framework (REF) in the UK.
Participants comprised mid to senior career academics with experience of winning funding from across the range of disciplines broadly representative of the arts and humanities, social sciences, physical science, maths and engineering and the life and earth sciences. For the purposes of this paper, although participant demographic information was collected, the relationship between the gender of the participants, their roles, disciplines/career stage was not explicitly explored instead, such conditions were emergent in the subsequent inductive coding during thematic analysis. A reflexive log was collected in order to challenge and draw attention to assumptions and underlying biases, which may affect the author, inclusive of their own gender identity. Further information on this is provided in Chubb ( 2017 ).
Pre- and post-evaluation interviews with REF2014 evaluators
REF2014 in the UK represented the world’s first formalised evaluation of ex-post impact, comprising of 20% of the overall evaluation. This framework served as a unique experimental environment with which to explore baseline tendencies towards impact as a concept and evaluative object (Derrick, 2018 ).
Two sets of semi-structured interviews were conducted with willing participants: sixty-two panellists were interviewed from the UK’s REF2014 Main Panel A prior to the evaluation taking place; and a fifty-seven of these were re-interviewed post-evaluation. Main Panel A covers six Sub-panels: (1) Clinical Medicine; (2) Public Health, Health Services and Primary Care; (3) Allied Health Professions, Dentistry, Nursing and Pharmacy; (4) Psychology, Psychiatry and Neuroscience; (5) Biological Sciences; and (6) Agriculture, Veterinary and Food Sciences. Again, the relationship between the gender of the participants and their discipline is not the focus for the purposes of this paper.
Database combination and identification of common emergent themes
The inclusion of data sets using both Australian and UK researchers was pertinent to this study as both sites were at the cusp of implementing the evaluation of Impact formally. These researcher interviews, as well as the evaluator interviews were conducted prior to any formalised Impact evaluation took place, but when both contexts required ex ante impact in terms of certain funding allocation, meaning an analysis of these baseline perceptions between databases was possible. Further, the inclusion of the post-evaluation interviews with panellists in the UK allowed an exploration of how these gendered perceptions identified in the interviews with researchers and panellists prior to the evaluation, influenced panel behaviour during the evaluation of Impact.
Initially, both data sets were analysed using similar, inductive, grounded-theory-informed approaches inclusive of a discourse and thematic analysis of the language used by participants when describing impact, which allowed for the drawing out of metaphor (Zinken et al., 2008 ). This allowed data combination and analysis of the two databases to be conducted in line with the recommendations for data-synthesis as outlined in Weed ( 2005 ) as a form of interpretation. This approach guarded against the quantification of qualitative findings for the purposes of synthesis, and instead focused on an initial dialogic approach between the two authors (Chubb and Derrick), followed by a re-analysis of qualitative data sets (Heaton, 1998 ) in line with the outcomes of the initial author-dialogue as a method of circumventing many of the drawbacks associated with qualitative data-synthesis. Convergent themes from each, independently analysed data set were discussed between authors, before the construction of new themes that were an iterative analysis of the combined data set. Drawing on the feminist tradition the authors did not apply feminist standpoint theory, instead a fully inductive approach was used to unearth rich empirical data. An interpretative and inductive approach to coding the data using NVIVO software in both instances was used and a reflexive log maintained. The availability of both full, coded, qualitative data sets, as well as the large sample size of each, allowed this data-synthesis to happen.
Researcher’s perceptions of Impact as either ‘hard’ or ‘soft’
Both UK and Australian academic researchers (researchers) perceive a guideline of gendered productivity (Davies et al., 2017 ; Sax et al., 2002 ; Astin, 1978 ; Ward and Grant, 1996 ). This is where men or women are being dissuaded (by their inner narratives, their institutions or by colleagues) from engaging in Impact either in preference to other (more masculine) notions of academic productivity, or towards softer (for women) because they consider themselves and are considered by others to be ‘good at it’. Participants often gendered the language of Impact and introduced notions of ‘hard’ and ‘soft’. On the one hand, this rehearses and resurfaces long-standing views about the ‘Matthew Effect’ because often softer Impacts were seen as being of less value by participants, but also indicates that the word impact itself carries its own connotations, which are then weighed down further by more entrenched gender associations.
Our research shows that when describing Impact, it was not necessarily the masculinity or femininity of the researcher that was emphasised by participants, rather researchers made gendered presumptions around the type of Impact, or the activity used to generate it as either masculine or feminine. Some participants referred to their own research or others’ research as either ‘hard’ or as ‘soft and woolly’. Those who self-professed that their research was ‘soft’ or woolly’ felt that their research was less likely to qualify as having ‘hard’ impact in REF terms Footnote 3 ; instead, they claimed their research would impact socially, as opposed to economically; ‘ stuff that’s on a flaky edge — it’s very much about social engagement ’ (Languages, Australia, Professor, Male) . One researcher described Impact as ‘a nasty Treasury idea,’ comparing it to: a tsunami, crashing over everything which will knock out stuff that is precious ’ . (Theatre, Film and TV, UK, Professor, Male) . This imagery associates the concept of impact with force and weight (or hardness as mentioned earlier) particularly in disciplines where the effect of their research may be far more nuanced and subtle. One Australian research used force to depict the impact of teaching and claimed Impact was like a footprint, and teaching was ‘ a pretty heavy imprint ’ (Environment, UK, Professor, Male) . Participants characterised ‘force and weight’ as masculine, suggesting that some connotations of Impact and the associated activities may be gendered. The word ‘Impact’ was inherently perceived by many researchers as problematic, bound with linguistic connotations and those imposed by the official definitions, which in many cases are perceived as negative or maybe even gendered (Chubb, 2017 ): ‘ The etymology of a word like impact is interesting. I’ve always seen what I do as being a more subtle incremental engagement, relevance, a contribution ’. (Theatre, Film and TV, UK, Professor, Male) .
Researchers associated the word ‘impact’ with hard-ness, weight and force; ‘ anything that sorts of hits you ’ (Languages, UK, Senior Lecturer, Female) . One researcher suggested that Impact ‘ sounds kind of aggressive — the poor consumer! ’ (History, Australia, Professor, Female) . Talking about her own research in the performing arts, one Australian researcher commented: ‘ It’s such a pain in the arse because the Arts don’t fit the model. But in a way they do if you look at the impact as being something quite soft ’ (Music, Australia, Professor, Female) . Likewise, a similar comparison was seen by a female researcher from the mechanical engineering discipline: ‘ My impact case study wasn’t submitted mainly because I’m dealing with that slightly on the woolly side of things ’ (Mechanical Engineering, Australia, Professor, Female) . Largely, gender related comments hailed from the ‘hard’ science and from arts and humanities researchers. Social scientists commented less, and indeed, one levelled that Impact was perhaps less a matter of gender, and more a matter of ability (Chubb, 2017 ): ‘ It’s about being articulate! Both guys and women who are very articulate and communicate well are outward looking on all of these things ’ ( Engineering Education, Australia, Professor, Female).
Gendered notions of performativity were also very pronounced by evaluators who were assessing the outputs only, suggesting how these panel cultures are orientated around notions of gender and scientific outputs as ‘hard’ if represented by numbers. The focus on numbers was perceived by the following panellist as ‘ a real strong tendency particularly amongst the Alpha male types ’ within the panel that relate to findings about the association of certain traits—risk aversion, competitiveness, for example, with a masculinised market logic in HE;
And I like that a lot because I think that there is a real strong tendency particularly amongst the Alpha male types of always looking at the numbers, like the numbers and everything. And I just did feel that steer that we got from the panel chairs, both of them were men by the way, but they were very clear, the impact factors and citations and the rank order of a journal is this is information that can be useful, but it’s not your immediate first stop. (Panel 1, Outputs and Impact, Female)
However, a metric-dominant approach was not the result of a male-dominated panel environment and instead, to the panels credit, evaluators were encouraged not to use one-metric as the only deciding factor between star-rating of quality. However, this is not to suggest that metrics did not play a dominant role. In fact, in order to resolve arguments, evaluators were encouraged to ‘ reflect on these other metrics ’ (Panel 3, Outputs only, Male) in order to rectify arguments where the assessment of quality was in conflict. This use of ‘other metrics’ was preferential to a resolution of differences that are based on more ‘soft’ arguments that are based on understanding where differences in opinion might lie in the interpretation of the manuscript’s quality. Instead, the deciding factor in resolving arguments would be the responsibility, primarily, of a ‘hard’ concept of quality as dictated by a numerical value;
Read the paper, judge the quality, judge the originality, the rigour, the impact — if you have to because you’re in dispute with another assessor, then reflect on these other metrics. So I don’t think metrics are that helpful actually if and until you’ve got a real issue to be able to make a decision. But I worry very much that metrics are just such a simple way of making the process much easier, and I’m worried about that because I think there’s a bit of game playing going on with impact factors and that kind of thing. (Panel 3, Outputs Only, Male)
Table 1 outlines the emergent themes, which, through inductive coding participants broadly categorised domains of research, their qualities and associations, types of activities and the gendered assumption generally made by participants when describing that activity. The table is intended only to provide an indicative overview of the overall tendencies of participants toward certain narratives as is not exhaustive, as well as a guide to interpret the perceptions of Impact illustrated in the below results.
Table one describes the dichotomous views that seemed to emerge from the research but it’s important to note that researchers associated Impact as related to gender in subtle, and in some cases overt ways. The data suggests that some male participants felt that female academics might be better at Impact, suggesting that female academics might find it liberating, linked it to a sense of duty or public service, implying that it was second nature. In addition, some male participants associated types of Impact domains as female-orientated activity and the reverse was the case with female and male-orientated ‘types’ of Impact. For example, at one extreme, a few male researchers seemed to perceive public engagement as something, which females would be particularly good at, generalising that they are not competitive ‘ women are better at this! They are less competitive! ’ (Environment, UK, Professor, Male) . Indeed, one male researcher suggested that competitiveness actually helps academics have an impact and does not impede it:
I get a huge buzz from trying to communicate those to a wider audience and winning arguments and seeing them used. It’s not the use that motivates me it’s the process of winning, I’m competitive! (Economics, UK, Professor, Male)
Analysis also revealed evidence that some researchers has gendered perceptions of Impact activities just as evaluators did. Here, women were more likely to promote the importance of engaging in Impact activities, whereas men were focused on producing indicators with hard, quantitative indicators of success. Some researchers implied that public engagement was not something entirely associated with the kinds of Impact needed to advance one’s career and for a few male researchers, this was accordingly associated with female academics. Certain female researchers in the sciences and the arts suggested similarly that there was a strong commitment among women to carry out public engagement, but that this was not necessarily shared by their male counterparts who, they perceived, undervalued this kind of work:
I think the few of us women in the faculty will grapple with that a lot about the relevance of what we’re doing and the usefulness, but for the vast majority of people it’s not there… [She implies that]…I think there is a huge gender thing there that every woman that you talk to on campus would consider that the role of the university is along the latter statement (*to communicate to the public). The vast majority of men would not consider that’s a role of the university. There’s a strong gender thing. (Chemical Engineering, Australia, Professor, Female)
Notwithstanding, it is important to distinguish between engagement and Impact. This research shows that participants perceive Impact activities to be gendered. There was a sense from one arts female researcher that women might be more interested in getting out there and communicating their work but that crucially, it is not the be-all and end- all of doing research: ‘ Women feel that there’s something more liberating, I can empathise with that, but that couldn’t be the whole job ’. Music, Australia, Professor, Female Footnote 4 . When this researcher, who was very much orientated towards Impact, asked if there were enough interviewees, she added ‘ mind you, you’ve probably spoken to enough men in lab coats ’. This could imply that inward-facing roles are associated with male-orientated activity and outward facing roles as perceived as more female orientated. Such sentiments perhaps relate to a binary delineation of women as more caring, subjective, applied and of men as harder, scientific and theoretical/ rational. This links to a broader characterisation of HE as marketised and potentially, more ‘male’ or at least masculinised—where increasing competitiveness, marketisation and performativity can be seen as linked to an increasingly macho way of doing business (Blackmore, 2002 ; Deem, 1998 ; Grummell et al., 2009 ; Reay, n.d. ). The data is also suggestive of the attitude that communication is a ‘soft’ skill and the interpersonal is seen as a less masculine trait. ‘ This is a huge generalisation but I still say that the profession is so dominated by men, undergraduates are so dominated by men and most of those boys will come into engineering because they’re much more comfortable dealing with a computer than with people ’ (Chemical Engineering, Australia, Professor, Female) . Again, this suggests women are more likely to pursue those scientific subjects, which will make a difference or contribute to society (such as nursing or environmental research, certainly those subjects that would be perceived as less ‘hard’ science domains).
There was also a sense that Impact activity, namely in this case public engagement and community work, was associated with women more than men by some participants (Amâncio, 2005 ). However, public engagement and certain social impact domains appeared to have a lower status and intellectual worth in the eyes of some participants. Some inferred that social and ‘soft’ impacts are seen as associated. With discipline. For instance, research concerning STEM (Science, Technology, Engineering and Medicine) subjects with females. They in turn may be held in low esteem. Some of the accounts suggest that soft impacts are perceived by women as not ‘counting’ as Impact:
‘ At least two out of the four of us who are female are doing community service and that doesn’t count, we get zero credit, actually I would say it gets negative credit because it takes time away from everything else ’. (Education Engineering, Australia, Professor, Female)
This was intimated again by another female UK computer scientist who claimed that since her work was on the ‘woolly side’ of things, and her impacts were predominantly in the social and public domain, she would not be taken seriously enough to qualify as a REF Impact case study, despite having won an award for her work:
‘ I don’t think it helps that if I were a male professor doing the same work I might be taken more seriously. It’s interesting, why recently? Because I’ve never felt that I’ve not been taken seriously because I’m a woman, but something happened recently and I thought, oh, you’re not taking me seriously because I’m a woman. So I think it’s a part ’. (Computer Science, UK, Professor, Female)
Researchers also connect the ‘hard’ and ‘soft’ associations with Impact described earlier to male and female traits. The relationship between Impact and gender is not well understood and it is not clear how much these issues are directly relatable to Impact or more symptomatic of the broader picture in HE. In order to get a broader picture, it is important to examine how these gendered notions of Impact translate into its evaluation. Some participants suggested that gender is a factor in the securing of grant money—certainly this comment reveals a local speculation that ‘the big boys’ get the grants, in Australia, at least: ‘ ARC grants? I’ve had a few but nothing like the big boys that get one after the other ,’ (Chemical Engineering, Australia, Professor, Female) . This is not dissimilar to the ‘alpha male’ comments from the evaluators described below who note a tendency for male evaluators to rely on ‘hard’ numbers whose views are further examined in the following section.
Gendered excellence in Impact evaluation
In the pre-evaluation interviews, panellists were asked about what they perceived to be ‘excellent’ research and ‘excellent’ Impact. Within this context, are mirrored conceptualisations of impacts as either ‘soft’ or ‘hard’ as was seen with the interviews with researchers described above. These conceptualisations were captured prior to the evaluation began. They can therefore be interpreted as the raw, baseline assumptions of Impact that are free from the effects of the panel group, showed that there were differences in how evaluators perceived Impact, and that these perceptions were gendered.
Although all researchers conceptualised Impact as a linear process for the purposes of the REF2014 exercise (Derrick, 2018 ), there was a tendency for female evaluators to be open to considering the complexity of Impact, even in a best-case scenario. This included a consideration that Impact as dictated within the narrative might have different indicators of value to different evaluators; ‘ I just think that that whole framing means that there is a form of normative standard of perfect impact ’ (Main Panel, Outputs and Impacts, Female) . This evaluator, in particular, went further to state how that their impression of Impact would be constructed from the comparators available during the evaluation;
‘ Given that I’m presenting impact as a good story, it would be like you saying to me; ‘Can you describe to me a perfect Shakespearean play?’…. well now of course, I can’t. You can give me lots of plays but they all have different kinds of interesting features. Different people would say that their favourite play was different. To me, if you’re taking interpretivist view, constructivist view, there is no perfect normative standard. It’s just not possible ’. (Panel 1, Outputs and Impacts, Female)
Female evaluators were also more sensitive to other complex factors influencing the evaluation of Impact, including time lag; ‘ …So it takes a long time for things like that to be accepted…it took hundreds of studies before it was generally accepted as real ’ (Panel 1, Outputs and Impacts, Female ); as well as the indirect way that research influences policy as a form of Impact;
‘ I don’t think that anything would get four stars without even blinking. I think that is impossible to answer because you have to look at the whole evidence in this has gone on, and how that does link to the impact that is being claimed, and then you would then have to look at how that impact, exactly how that research has impacted on the ways of the world, in terms of change or in terms of society or whatever. I don’t think you can see this would easily get four stars because of the overall process is being looked at, as well as the actual outcome ’ . (Panel 3, Outputs and Impact, Female)
Although these typologies were not absolute, there was a lack of complexity in the nuances around Impact. There was also heavily gendered language around Impacts as measurable, or not, that mirrored the association of Impact as being either ‘hard’, and therefore measurable, or ‘soft, and therefore more nuanced in value. In this way, male evaluators expressed Impact as a causal, linear event that occurred ‘ in a very short time ’ (P2, Outputs and Impact, Male) and involved a single ‘ star ’ (P3, Impacts only, Male) or ‘ impact champion ’ (Main Panel, Outputs and Impacts, Male) that drove it from start (research), to finish (Impact). These associations about Impact being ‘soft’ and ‘hard’ made by evaluators, mirror the responses from researchers in the above sections. In the example below, the evaluator used words such as ‘ strong ’ and ‘ big way ’ to describe Impact success, as well as emphasises causality in the argument;
‘ …if it has affected a lot of people or affected policy in a strong way or created change in a big way, and it can be clearly linked back to the research, and it’s made a difference ’. (Panel 2, Outputs and Impact, Male)
These perhaps show disciplinary differences as much as gendered differences. Further, there was a stronger tendency for male evaluators to strive towards conceptualisations of excellence in Impact as measurable or ‘ it’s something that is decisive and actionable ’ (Panel 6, Impacts, Male) . One male evaluator explained his conceptualised version of Impact excellence as ‘ straightforward ’ and therefore ‘ obviously four-star ’ due to the presence of metrics with which to measure Impact. This was a perception more commonly associated with male evaluators;
‘ …if somebody has been able to devise a — let’s say pancreatic cancer — which is a molecular cancer, which hasn’t made any progress in the last 40 years, and where the mortality is close to 100% after diagnosis, if someone devised a treatment where now suddenly, after diagnosis of pancreatic cancer, 90 percent of the people are now still alive 5 years later, where the mortality rate is almost 0%, who are alive after 5 years. That, of course, would be a dramatic, transformative impact ’. (Panel 1, Outputs and Impact, Male)
In addition, his tendency to seek various numeric indicators for measuring, and therefore assessing Impact (predominantly economic impact), as well as compressing its realisation to a small period of time ( ‘ suddenly ’ ) in a causal fashion, was more commonly expressed in male evaluators. This tendency automatically indicates the association of impacts as either ‘soft’ or ‘hard’ and divided along gendered norms, but also expresses Impact in monetary terms;
‘ Something that went into a patient or the company has pronounced with…has spun out and been taken up by a commercial entity or a clinical entity ’ (Panel 3, Outputs and Impacts, Male) , as well as impacts that are marketised; ‘ A new antimicrobial drug to market ’. (Panel 6, Outputs and Impact, Male) .
There was also the perception that female academics would be better at engagement (Johnson et al., 2014 ; Crettaz Von Roten, 2011 ) due to its link with notions of ‘ duty ’ (as a mother), ‘ engagement ’ and ‘ public service ’ are reflected in how female evaluators were also more open to the idea that excellent Impact is achieved through productive, ongoing partnerships with non-academic stakeholders. Here, the reflections of ‘duty’ from the evaluators was also mirrored by in interviews with researchers. Indeed, the researchers merged perceptions of parenthood, an academic career and societal impact generation. One female researcher drew on her role as a mother as supportive of her ability to participate in Impact generation, ‘ I have kids that age so… ’ (Biology, UK, Senior Lecturer, Female) . Indeed, parenthood emerged from researchers of both genders in relation to the Impact agenda. Two male participants spoke positively about the need to transfer knowledge of all kinds to society referencing their role as parents: ‘ I’m all for that. I want my kids to have a rich culture when they go to school ’ (Engineering, Australia, Professor, Male, E2) , and ‘ My children are the extension of my biological life and my students are an extension of my thoughts ’ (Engineering, Australia, Professor, Male, E1) . One UK female biologist commented that she indeed enjoys delivering public engagement and outreach and implies a reference to having a family as enabling her ability to do so: ‘ It’s partly being involved with the really well-established outreach work ,’ (Biology, UK, Senior Lecturer, Female) .
For the evaluators, the idea that ‘public service’ as second nature for female academics, was reflected in how female evaluators perceived the long, arduous and serendipitous nature of Impact generation, as well as their commitment to assessing the value of Impact as a ‘pathway’ rather than in line with impact as a ‘product’. Indeed, this was highlighted by one male evaluator who suggested that the measurement and assessment of Impact ‘ …needs to be done by economists ’ and that
‘ you [need] to put in some quantification one everything…[that] puts a negative value on being sick and a positive large value on living longer. So, yeah, the greatest impact would be something that saves us money and generates income for the country but something broad and improves quality of life ’. (Panel 2, Impacts, Male)
Since evaluators tend to exercise cognitive bias in evaluative situations (Langfeldt, 2006 ), these preconceived ideas about Impact, its generation and the types of people responsible for its success are also likely to permeate the evaluative deliberations around Impact during the peer review process. What is uncertain is the extent that these messages are dominant within the panel discourse, and therefore the extent that they influence the formation of a consensus within the group, and the ‘dominant definition’ of Impact (Derrick, 2018 ) that emerges as a result.
Notions of gender from the evaluators post-evaluation
Similar notions of gender-roles in academia pertaining to notions of scientific productivity were echoed by academics who were charged with its evaluation as part of the UK’s 2014 Research Excellence Framework. Interviews with evaluators revealed not only that the panel working-methods and characteristics about what constituted a ‘good’ evaluator were implicitly along gendered norms, but also that the assumed credit assumptions of performativity were also based on gender.
In assessments of the Impact criterion, an assessment that is not as amenable to quantitative representation requiring panels to conceptualise a very complex process, with unstandardised measures of significance and reach, there was still a gendered perception of Impact being ‘women’s work’ in academia. This perception was based on the tendency towards conceptualising Impact as ‘slightly grubby’ and ‘not very pure’, which echoes previously reported pre-REF2014 tensions that Impact is a task that an academic does when they cannot do real research (de Jong et al., 2015 );
But I would say that something like research impact is — it seems something slightly grubby. It’s not seen as not — by the academics, as not very pure. To some of them, it seems women’s work. Talking to the public, do you see what I mean? (Main Panel, Outputs and Impact, Female)
In addition, gendered roles also relate to how the panel worked with the assessment of Impact. Previous research has outlined how the equality and diversity assessment of panels for REF2014 were not conducted until after panellists were appointed (Derrick, 2018 ), leading to a lack of equal-representation of women on most panels. Some of the female panellists reflected that this resulted not only in a hyper-awareness of one’s own identity and value as a woman on the panel, but also implicitly associating the role that a female panellist would play in generating the evaluation. One panellist below, reflected that she was the only female in a male-dominated panel, and that the only other females in the room were the panel secretariat. The panellist goes further to explain how this resulted in a gendered-division of labour surrounding the assessment of Impact;
I mean, there’s a gender thing as well which isn’t directing what you’re talking about what you’re researching, but I was the only woman on the original appointed panel. The only other women were the secretariat. In some ways I do — there was initially a very gendered division of perspective where the women were all the ones aggregate the quantitative research, or typing it all up or talking about impact whereas the men were the ones who represented the big agenda, big trials. (Main Panel, Outputs and Impact, Female)
In addition, evaluators expressed opinions about what constituted a good and a bad panel member. From this, the evaluation showed that traits such as the ability to work as a ‘team’ and to build on definitions and methods of assessment for Impact through deliberation and ‘feedback’ were perceived along gendered lines. In this regard, women perceived themselves as valuable if they were ‘happy to listen to discussions’, and not ‘too dogmatic about their opinion’. Here, women were valued if they played a supportive, supplementary role in line with Bellas ( 1999 ), which was in clear distinction to men who contributed as creative thinkers and forgers of new ideas. As one panellist described;
A good panel member is an Irish female. A good panel member was someone who was happy to — someone who is happy to listen to discussions; to not be too dogmatic about their opinion, but can listen and learn, because impact is something we are all learning from scratch. Somebody who wasn’t too outspoken, was a team player. (Panel 3, Outputs and Impact, Female)
Likewise, another female evaluator reflected on the reasons for her inclusion as a panel member was due to her ‘generalist perspective’ as opposed to a perspective that is over prescribed. This was suggestive of how an overly specialist perspective would run counter to the reasons that she was included as a panellist which was, in her opinion, due to her value as an ethnic and gender ‘token’ to the panel;
‘ I think it’s also being able to provide some perspective, some general perspective. I’m quite a generalist actually, I’m not a specialist……So I’m very generalist. And I think they’re also well aware of the ethnic and gender composition of that and lots of reasons why I’m asked on panels. (Panel 1, Outputs and Impact, Female)
Women perceived their value on the panel as supportive, as someone who is prepared to work on the team, and listen to other views towards as a generalist, and constructionist, rather than as an enforced of dogmatic views and raw, hard notions of Impact that were represented through quantitative indicators only. As such, how the panel operated reflects general studies of how work can be organised along gender lines, as well as specific to workload and power in the academy. The similarity between the gendered associations towards conceptualising Impact from the researchers and evaluators, combined with how the panel organises its work along gendered lines, suggests how panel culture echoes the implicit tendencies within the wider research community. The implications of this tendency in relation to the evaluation of non-academic Impact is discussed below.
Discussion: an Impact a-gender?
This study shows how researchers and evaluators in two, independent data sets echoed a gendered orientation towards Impact, and how this implies an Impact a-gender. That gendered notions of Impact emerged as a significant theme from two independent data sets speaks to the importance of the issue. It also illustrates the need for policymakers and funding organisations to acknowledge its potential effects as part of their efforts towards embedding a more inclusive research culture around the generation and evaluation of research impact beyond academia.
Specifically, this paper has identified gendered language around the generation of, and evaluation of Impact by researchers in Australia and the UK, as well as by evaluators by the UK’s most recent Research Excellence Framework in 2014. For the UK and Australia, the prominence of Impact, as well as the policy borrowing between each country (Chubb, 2017 ) means that a reliable comparison of pre-evaluation perceptions of researchers and evaluators can be made. In both data sets presumptions of Impact as either ‘soft’ or ‘hard’ by both researchers and evaluators were found to be gendered. Whereas it is not surprising that panel culture reflects the dominant trends within the wider academic culture, this paper raises the question of how the implicit operation of gender bias surrounding notions of scientific productivity and its measurement, invade and therefore unduly influence the evaluation of those notions during peer-review processes. This negates the motivation behind a broad Impact definition and evaluation as inclusive since unconscious bias towards women can still operate if left unchecked and unmanaged.
Gendered notions of excellence were also related to the ability to be ‘competitive’, and that once Impact became a formalised, countable and therefore competitive criterion, it also become masculine where previously it existed as a feminised concept related to female academic-ness. As a feminised concept, Impact once referred to notions of excellence requiring communication such as public engagement, or stakeholder coordination—the ‘softer’ impacts. However, this association only remains ‘soft’ insofar as Impact remains unmeasurable, or more nuanced in definition. This is especially pertinent for the evaluation of societal impact where already conceived ideas of engagement and ‘ women’s work ’ influence how evaluators assess the feasibility of impact narratives for the purposes of its assessment. This paper also raises the question that notions of gender in relation to Impact persist irrespective of the identities assumed for the purposes of its evaluation (i.e., as a peer reviewer). This is not to say that academic culture in the UK and Australia, where Impact is increasingly being formalised into rewards systems, is not changing. More that there is a tendency in some evaluations for the burden of evidence to be applied differently to genders due to tensions surrounding what women are ‘good’ at doing: engagement, versus what ‘men’ are good at doing regarding Impact. In this scenario, quantitative indicators of big, high-level impacts are to be attributable to male traits, rather than female. This has already been noted in student evaluations of teaching (Kogan et al., 2010 ) and of academic leadership performance where the focus on the evaluation is on how others interpret performance based on already held gendered views about competence based on behaviours (Williams et al., 2014 ; Holt and Ellis, 1998 ). As such, when researchers transcend these gendered identities that are specific to societal impact, there is a danger of an Impact-a-gender bias arising in the assessment and forecasting of Impact. This paper extends this understanding and outlines how this may also be the case for assessments of societal impact.
By examining perceptions, as well as using an inductive analysis, this study was able to unearth unconsciously employed gendered notions that would not have been prominent or possible to pick up if we asked the interviewees about gender directly. This was particularly the case for the re-analysis of the post-evaluation interviews. However, future studies might consider incorporating a disciplinary-specific perspective as although the evaluators were from the medical/biomedical disciplines, researchers were from a range of disciplines. This would identify any discipline-specific risk towards an Impact a-gender. Nonetheless, further work that characterises the impact a-gender, as well as explores its wider implications for gender inequities within HE is currently underway.
How research evidence is labelled as excellent and therefore trustworthy, is heavily dictated by an evaluation process that is perceived as impartial and fair. However, if evaluations are compounded by gender bias, this confounds assessments of excellence with gendered expectation of non-academic impact. Consequently, gendered expectations of excellence for non-academic impact has the potential to: unconsciously dissuade women from pursuing more masculinised types of impact; act as a barrier to how female researchers mobilise their research evidence; as well as limit the recognition female researchers gain as excellent and therefore trustworthy sources of evidence.
The aim of this paper was not to criticise the panellists and researchers for expressing gendered perspectives, nor to present evidence about how researchers are unduly influenced by gender bias. The results shown do not support either of these views. However, the aim of this paper was to acknowledge how gender bias in research Impact generation can lead to a panel culture dominated by academics that translate the implicit and explicit biases within academia that influence its evaluation. This paper raises an important question regarding what we term the ‘Impact a-gender’, which outlines a mechanism in which gender bias feeds into the generation and evaluation of a research criterion, which is not traditionally associated with a hard, metrics-masculinised output from research. Along with other techniques used to combat unconscious bias in research evaluation, simply by identifying, and naming the issue, this paper intends to combat its ill effects through a community-wide discussions as a mechanism for developing tools to mitigate its wider effect if left unchecked or merely accepted as ‘acceptable’. In addition, it is suggested that government and funding organisations explicitly refer to the impact a-gender as part of their wider EDI (Equity, Diversity and Inclusion) agendas towards minimising the influence of unconscious bias in research impact and evaluation.
Data availability
Data is available upon request subject to ethical considerations such as consent so as not to compromise the individual privacy of our participants.
Change history
19 may 2020.
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
For the purposes of this paper, when the text refers to non-academic, societal impact, or the term ‘Impact’ we are referring to the change and effect as defined by REF2014/2021 and the larger conceptualisation of impact that is generated through knowledge exchange and engagement. In this way, the paper refers to a broad conceptualisation of research impact that occurs beyond academia. This allows a distinction between Impact as central to this article’s contribution, as opposed to academic impact, and general word ‘impact’.
Impact scholars or those who are ‘good at impact’ are often equated with applied researchers.
One might interpret this as meaning ‘economic impact’.
This is described in the next section as ‘women’s work’ by one evaluator.
Ahmed S (2006) Doing diversity work in higher education in Australia. Educ Philos Theory 38(6):745–768
Article Google Scholar
Amâncio L (2005) Reflections on science as a gendered endeavour: changes and continuities. Soc Sci Inf 44(1):65–83
Andrews E, Weaver A, Hanley D, Shamatha J, Melton G (2005) Scientists and public outreach: participation, motivations, and impediments. J Geosci Educ 53(3):281–293
Astin HS (1978) Factors affecting women’ scholarly productivity. In: Astin AS, Hirsch WZ (eds) The higher education of women: essays in honor of Rosemary Park. Praeger, New York, pp. 133–157
Google Scholar
Baker M (2008) Ambition, confidence and entrepreneurial skills: gendered patterns in academia. Australian Sociological Association Annual Meeting, Melbourne. Retrieved from https://www.tasa.org.au/wp-content/uploads/2011/05/Baker-Maureen-Session-46-PDF1.Pdf
Bank BJ (2011) Gender and higher education. JHU Press
Becher T (1989) Academic tribes and territories. Open University Press/Society for Research into Higher Education, Buckingham
Becher T (1994) The significance of disciplinary differences. Stud High Educ 19(2):151–162
Bellas ML (1999) Emotional labor in academia: the case of professors. Ann Am Acad Political Soc Sci 561(1):96–110
Biglan A (1973a) The characteristics of subject matter in different academic areas. J Appl Psychol 57:195–203
Biglan A (1973b) Relationships between subject matter characteristics and the structure and output of university departments. J Appl Psychol 57(3):204
Bird S, Litt J, Wang Y (2004) Creating status of women reports: Institutional housekeeping as “Women’s Work”. NWSA J 194–206
Blackmore J (2002) Globalisation and the restructuring of higher education for new knowledge economies: New dangers or old habits troubling gender equity work in universities? High Educ Q 56(4):419–441
Brink MvD, Benschop Y (2012) Gender practices in the construction of academic excellence: Sheep with five legs. Organization 19(4):507–524
Burkinshaw P (2015) Higher education, leadership and women vice chancellors: fitting in to communities of practice of masculinities. Springer
Caplan N (1979) The two-communities theory and knowledge utilization. Am Behav Sci 22(3):459–470
Carey G, Dickinson H, Cox EM (2018) Feminism, gender and power relations in policy–Starting a new conversation. Aust J Public Adm 77(4):519–524
Carnes M, Bartels CM, Kaatz A, Kolehmainen C (2015) Why is John more likely to become department chair than Jennifer? Trans Am Clin Climatological Assoc 126:197
Cassell J (2002) Perturbing the system: “hard science,” “soft science,” and social science, the anxiety and madness of method Hum Organ 61(2):177–185. Retrieved from https://www.jstor.org/stable/44127444
Chubb JA (2017) Instrumentalism and epistemic responsibility: researchers and the impact agenda in the UK and Australia (Doctoral dissertation, University of York)
Clegg S (2008) Academic identities under threat? Br Educ Res J 34(3):329–345
Davies J, Syed J, Yarrow E (2017) The research impact agenda and gender. In Academy of Management Proceedings (Vol. 2017, No. 1, p. 15298). Academy of Management, Briarcliff Manor, NY
Davies J, Yarrow E, Syed J (2020) The curious under-representation of women impact case leaders: Can we disengender inequality regimes? Gend Work Organ 27(2):129–148
Deem R (1998) New managerialism’ and higher education: the management of performances and cultures in universities in the United Kingdom. Int Stud Sociol Educ 8(1):47–70
Derrick GE (2018) The Evaluators’ Eye: Impact assessment and academic peer review. Palgrave Macmillan, London, UK
Book Google Scholar
Ellemers N, van den Heuvel H, de Gilder D, Maass A, Bonvini A (2004) The underrepresentation of women in science: differential commitment or the queen bee syndrome? Br J Soc Psychol 43(Pt 3):315–338
Article PubMed Google Scholar
Geertz C (1983) Local Knowledge: Further Essays in Interpretive Anthropology, Basic Books, New York
Gibbons M (1999) Science’s new social contract with society. Nature 402(6761 Suppl):C81–C84
Article ADS CAS PubMed Google Scholar
Gromkowska-Melosik A (2014) The masculinization of identity among successful career women? A case study of Polish female managers. J Gend Power 1(1) http://hdl.handle.net/10593/11289
Grummell B, Devine D, Lynch K (2009) The care-less manager: gender, care and new managerialism in higher education. Gend Educ 21(2):191–208
Hazelkorn E, Gibson A (2019) Public goods and public policy: What is public good, and who and what decides? High Educ 78(2):257–271
Heaton J (1998) Secondary analysis of qualitative data. Soc Res Update 22(4):88–93
Heilman ME (1995) Sex stereotypes and their effects in the workplace: What we know and what we don't know. J Soc Behav Pers 10(4):3
ADS Google Scholar
Holt C, Ellis J (1998) Assessing the current validity of the Bem Sex-Role Inventory. Sex Roles 39 929941:11–12
Johnson D, Ecklund E, Lincoln A (2014) Narratives of science outreach in elite contexts of academic science. Sci Commun 36:81–105
Jong S, Smit J, Drooge LV (2015) Scientists’ response to societal impact policies: a policy paradox. Sci Public Policy 43(1):102–114
Keller JF, Eakes E, Hinkle D, Hughston GA (1978) Sexual behavior and guilt among women: a cross-generational comparison. J Sex Marital Ther 4(4):259–265
Article CAS PubMed Google Scholar
Kogan L, Schoenfeld-Tacher R, Hellyer P (2010) Student evaluations of teaching: perceptions of faculty based on gender, position, and rank. Teach High Educ 15(6):623–636
Kretschmer H, Kretschmer T (2013) Gender bias and explanation models for the phenomenon of women’s discriminations in research careers. Scientometrics 97(1):25–36
Kuhn TS (1962) The structure of scientific revolutions: University of Chicago press
Langfeldt L (2006) The policy challenges of peer review: Managing bias, conflict of interests and interdisciplinary assessments. Res Evaluation 15(1):31–41
Larivière V, Ni C, Gingras Y, Cronin B, Sugimoto CR (2013) Bibliometrics: global gender disparities in science. Nature 504(7479):211–213
Leathwood C, Read B (2008) Gender and the changing face of higher education: a feminized future? McGraw-Hill Education, UK
Lee JH, Noh G (2013) Polydesensitisation with reducing elevated serum total IgE by IFN-gamma therapy in atopic dermatitis: IFN-gamma and polydesensitisation (PDS). Cytokine 64(1):395–403
Lorber M (2005) Endocarditis from Staphylococcus aureus . JAMA 294(23):2972
Lorenz C (2012) If you’re so smart, why are you under surveillance?: universities, neoliberalism and new public management’. Crit Inquiry 38(3):599–629
Lundine J, Bourgeault IL, Clark J, Heidari S, Balabanova D (2019) Gender bias in academia. Lancet (Lond, Engl) 393(10173):741–743
Merton R (1942) On science and democracy. J Legal Polit Sociol 1942(1):115–126
Morley L (2003) Quality and power in higher education. McGraw-Hill Education, UK
Nature (2019) A kinder research culture is possible. Retrieved from https://www.nature.com/articles/d41586-019-02951-4
Pantin CFA (1968) The relations between the sciences. Cambridge University Press, Cambridge
Paulus JK, Switkowski KM, Allison GM, Connors M, Buchsbaum RJ, Freund KM, Blazey-Martin D (2016) Where is the leak in the pipeline? Investigating gender differences in academic promotion at an academic medical centre. Perspect Med Educ 5(2):125–128
Article PubMed PubMed Central Google Scholar
Poggio B (2006) Outline of a theory of gender practices. Gend Work Organ 13(3):225–233
Rausch DK (1989) The academic revolving door: why do women get caught? CUPA J 40(1):1–16
Reay D (n.d.) Cultural capitalists and academic habitus: classed and gendered labour in UK higher education. In Womens studies international forum (Vol. 27, No. 1, pp. 31–39) Pergamon
Rossiter MW (1993) The Matthew Matilda effect in science. Soc Stud Sci 23(2):325–341
Santos G, Phu S (2019) Dang van gender and academic rank in the UK. Sustainability 3171, 11(11):1–46
Sax LJ, Hagedorn LS, Arredondo M, DiCrisi FA (2002) Faculty research productivity: Exploring the role of gender and family-related factors. Res Higher Educ 43(4):423–446
Schatteman A (2014) Academics meets action: Community engagement motivations, benefits, and constraints. J Community Engagem High Educ 6(1):17–30
Schommer-Aikins M, Duell O, Barker S (2003) Epistemological beliefs across domains using Biglan’s classification of academic disciplines. Res High Educ 44(3):347–366
Severin A, Martins J, Delavy F, Jorstad A, Egger M, Heyard R (2019) Gender and other potential biases in peer review: Analysis of 38,250 external peer review reports. Peer J Preprints 7:e27587v3
Simpson A (2017) The surprising persistence of Biglan’s classification scheme. Stud High Educ 42(8):1520–1531
Smart J, Feldman K, Ethington C, Nashville T (2000) Academic disciplines: Holland’s theory and the study of college students and faculty, 1st edn. Vanderbilt University Press
Snow CP (2012) The two cultures. Cambridge University Press
Stern N (2016) Research Excellence Framework review: building on success and learning from experience. Gov. UK
Storer NW (1967) The hard sciences and the soft: Some sociological observations. Bull Med Libr Assoc 55(1):75–84
CAS PubMed PubMed Central Google Scholar
Sugimoto CR, Ni C, West JD, Larivière V (2015) The academic advantage: gender disparities in patenting. PLoS ONE 10(5):e0128000
Article PubMed PubMed Central CAS Google Scholar
Thelwall M, Bailey C, Tobin C, Bradshaw N (2019) Gender differences in research areas, methods and topics: Can people and thing orientations explain the results? J Informetr 13(1):149–169
Trowler PR (2001) Academic tribes and territories. McGraw-Hill Education, UK
Upton S, Vallance P, Goddard J (2014) From outcomes to process: evidence for a new approach to research impact assessment. Res Evaluation 2014 23(4):352–365
UKRI (2019) Excellence with Impact. Retrieved from https://www.ukri.org/innovation/excellence-with-impact/
UKRI (2020) Pathways to impact: impact core to the UK Research and Innovation application process. Retrieved from https://www.ukri.org/news/pathways-to-impact-impact-core-to-the-uk-research-and-innovation-application-process/
Von Roten F (2011) Crettaz gender differences in scientists’ public outreach and engagement activities. Sci Commun 33(1):52–75
Ward KB, Grant L (1996) Gender and academic publishing. (Vol. 11, pp. 172–212) Higher Education-New York-Agathon Press Incorporated
Weinstein N, Wilsdon J, Chubb J, Haddock G (2019) The Real Time REF Review: A Pilot Study to Examine the Feasibility of a Longitudinal Evaluation of Perceptions and Attitudes Towards REF 2021. Retrieved from https://re.ukri.org/news-events-publications/publications/real-time-ref-review-pilot-study/
Weed M (2005) “Meta Interpretation”: A Method for the Interpretive Synthesis of Qualitative Research. In Forum Qualitative Sozialforschung/Forum: Qualitative Social Research (Vol. 6, No. 1)
Wheatle K, BrckaLorenz A (2015) Civic engagement, service-learning, and faculty engagement: a profile of Black women faculty. American Educational Research Association Annual Meeting
Williams BAO (2002) Truth & truthfulness: An essay in genealogy. Princeton University Press
Williams J, Dempsey R, Slaughter A (2014) What works for women at work: four patterns working women need to know. New York University Press, New York
Yarrow E, Davies J (2018) The gendered impact agenda-how might more female academics’ research be submitted as REF impact case studies? Impact of Social Sciences Blog
Zinken J, Hellsten I, Nerlich B (2008) Discourse metaphors. Body, Lang Mind 2:363–385
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This research was funded by the UK Economic and Social Research Council (ESRC) Future Research Leaders Programme (ES/K008897/2). We would also like to acknowledge their peers for offering their views on the paper in advance of publication and in doing so thank Dr. Richard Watermeyer, University of Bath, Professor Paul Wakeling, University of York and Dr. Gabrielle Samuel, Kings College London.
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Chubb, J., Derrick, G.E. The impact a-gender: gendered orientations towards research Impact and its evaluation. Palgrave Commun 6 , 72 (2020). https://doi.org/10.1057/s41599-020-0438-z
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65 Amazing Gender Dissertation Topics – A List of Well Researched Topics
Published by Owen Ingram at January 2nd, 2023 , Revised On August 15, 2023
The concept of gender describes the differences in characteristics, behaviours, and responsibilities between males and females. Gender studies explore the complicated concerns that arise from the interaction of men and women.
It is essential that you thoroughly understand the subject before you begin writing your dissertation . It is imperative that you choose an interesting topic for your thesis in order to get a decent grade. As you progress through your dissertation, an excellent topic will provide you with direction and help you jump-start the process.
Below is a list of excellent gender studies dissertation topics you can learn and research. We provide a wide range of topics for you to use as is or modify as you wish. Getting a great grade on your dissertation has never been simpler.
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Gender Dissertation Topics Ideas & Examples
- Are multicultural companies fostering racial unity and, as a result, gender disparities?
- Will women’s empowerment result in oppositional gender discrimination?
- A balanced examination of women’s freedom and participation in large corporations and competitive sports
- How correct were our forefathers in changing the power imbalance toward patriarchy?
- Examine the disadvantaged status of rural women and the tainted treatment of infertile women
- Is racism or superstition more prevalent in Africa: the effect of gender discrimination?
- The impact of children in homes with a purely patriarchal society
- Explore the disparities in women’s perspectives in industrialized and developing nations
- Examine the dynamics of female objectification in films throughout the world
- The criminal syndicate’s inhumane treatment of women
- Gender diversity’s role in creativity and scientific discovery
- How can cities be made safer for women and girls?
- The role of schools in teaching children gender-appropriate behaviours
- Feminism in social interactions brings women and men together as groupings
- Why are females more vulnerable to sexual abuse and exploitation?
- Examine the glass ceiling in management and the role of ideology in shaping sex relations
- Obstacles to females’ access to decent education in UK nations
- The effects of gender differences on the human brain
- How can we teach boys and girls that they have the same rights as females?
- Discuss gender-neutral management methods
- Promotion of equal sporting opportunities for men and women
- The real-life materialization of the YouTube beauty community
- Stress and eating pathology in transgender adolescents: a feminist scientific investigation
- Gender discrimination’s implications and effects on the human brain
- Identifying and examining patriarchal attitudes and stereotypes in family relationships
- What factors make it difficult for girls in African and Asian nations to obtain a quality education?
- Toy segregation and sex education: should boys and girls be treated differently?
- What is feminism’s role in strengthening social relationships between men and women?
- Plaintiffs’ role in restoring legal arguments for same-sex marriage
- Understanding gender subjectivity in the lesbian culture somewhere over the rainbow nation
- The lesbian and gay movement’s agitation and the countermovement’s response in the United Kingdom
- Addressing the global decline in women’s political participation, both formally and informally
- Stereotypical images of women’s effects on implied cognition
- The social construction of multiple births in the 20th century
- How the working woman deals with social binaries
- Why should parents support the education of girls?
- What aspects of sex discrimination exist?
- What factors lead to workplace inequality?
- What motivates discrimination against women in developing nations?
- How do misconceptions about gender impact behaviour?
- What functions do films play in challenging gender stereotypes?
- Is there a way to end gender inequality through education?
- Women’s childhood trauma as a result of nationalist subjectivity
- Youth, gender, and citizenship in women’s colleges during World War i: “what can a woman do?”
- What parental actions should be taken to achieve gender parity?
- Absence of women in leadership positions
- Telling the truth of refugee and immigrant women: witnessing memory
- The experiences of males in traditionally feminine jobs
- Work-life balance of men and women has changed after the feminist movement
- A feminist viewpoint on women’s divorce counselling
- A behaviour guide for feminist family therapists
- The debate over black feminist theory
- An analysis of the anti-violence campaign by black feminists
- Sex segregation and emotional labour in women’s and men’s workplaces
- Women and men are on par: Workplace discrimination, gender roles, and public policy
- The ramifications for oneself of equating a slender feminine ideal with success in life
- Influences of the media, as well as social and individual differences, on women’s body esteem
- In the direction of a theory of women’s body image resilience
- In college women, body image and appearance management practices
- Review of body image and eating disorders in older persons
- Premenstrual syndrome and our female criminal companions: a feminist problem
- Why do women commit suicide at lower rates than men?
- Men being harmed by women is a significant societal issue
- Differences between men’s and women’s hourly wages
- A comparison of the career growth of male and female managers
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Thinking about what you want in a topic before looking at the list is crucial. Selecting a topic that interests you or piques your curiosity will make the research process easier. Check out the guidelines below on how to select and narrow a dissertation topic .
As you begin your brainstorming process, note all the options you can think of for your gender essay themes. To learn what will fascinate the audience the most, keep up with the most recent news and trends.
Even if certain subjects could be debatable, you can nonetheless list them and study them afterwards. Most importantly, pick a subject you are passionate about to make the process enjoyable. Out of the cases on the list, pick the one you believe is the most appropriate.
- Focus on a certain subject area so you may proceed the right way. To make your dissertation engaging to the audience, it is important to be detailed and original with your topic. Do extensive study on the subject you plan to write about. To gather the most recent information about your subject, browse the internet, the newspaper, and books.
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Dissertations and Theses
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GENDER, FAMILY POLICY, AND POLITICS
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- Affiliation: College of Arts and Sciences, Department of Political Science
- This dissertation examines the interaction between gender, the welfare state and public opinion in advanced democracies. My first stream of research is driven by an interest and concern for how family policies (re)produce gender and class inequalities, and my goal is to highlight the subtle incentives embedded in family policies that promote more traditional or egalitarian behaviors and attitudes. While some work shows that gender attitudes are becoming more traditional across the post-industrial world, the first chapter shows that this change is more differentiated in ways that are patterned by the particular configuration of family policies in a given time and place. I show that policies that promote women’s inclusion in the workforce are associated with egalitarian attitudes towards working mothers, while policies that promote familial care for children and the elderly promotes the diffusion of gender-essentialist beliefs about women. A second project uses panel data to examine the uneven consequences of a series of German family policy reforms on across educational groups, assessing to what extent these reforms exacerbated or alleviated educational inequalities in women’s employment patterns, earnings, and working hours. I show that the German family policy reforms did generate greater inequalities in work-family arrangements across educational groups, such that highly educated families post-reforms and in counties with expanded access to childcare resemble dual-earner families, while the less-educated remain in time and a half or male breadwinner arrangements. While policies themselves impact behaviors and attitudes, the politics of gender and family policies are contentious. The final chapter of this dissertation examines the relative roles of social sorting and partisan polarization on gender attitudes in the United States, showing how over time the characteristics associated with gender traditionalism/egalitarianism have become more closely tied to the same social and identity groups aligned with the two parties. I show that partisanship does increasingly matter for gender attitudes, but that the effect of partisanship is conditional on sharing the modal social characteristics that are associated with either party.
- Political science
- social policy
- public opinion
- welfare state
- family policy
- https://doi.org/10.17615/7tb6-xy09
- Dissertation
- In Copyright - Educational Use Permitted
- Maxwell, Rahsaan
- Conover, Pamela
- Stephens, John
- Hooghe, Liesbet
- Marks, Gary
- Doctor of Philosophy
- University of North Carolina at Chapel Hill Graduate School
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UH College of Education Professor Wins National Dissertation Award
Posted March 4, 2024 — A former social studies teacher, Assistant Professor Joanna Batt wanted to learn from her prior students. What did they remember from their history classes? Did they connect personally with the content and feel valued as people?
Batt turned the questions into the focus of her dissertation, interviewing her former high school students and asking them to produce self-portraits reflecting how they saw themselves — or didn’t — in their social studies courses.
“Students felt their lives were underrepresented, especially concerning race, gender and sexuality, by the curriculum they learned in high school history classes,” Batt said. “We have to change that as a social studies field and do better because young people deserve far more.”
Batt, now in her first year at the University of Houston College of Education, earned national recognition for her research, winning the 2023 Larry Metcalf Exemplary Dissertation Award from the National Council for the Social Studies.
“This award means a great deal to me,” she said. “I see this as a recognition of what my participants went through in high school and how the field must listen to what young people have to say. This is even more essential when it comes to listening to and honoring young people who hold historically marginalized identities concerning race, gender, sexuality, religion, class and more.”
Interested in a Ph.D. specializing in social studies education?
At UH, Batt teaches Ph.D. students in the Department of Curriculum & Instruction, specializing in social studies/social education, urban education and social justice. In her classes, she said, she emphasizes the importance of valuing youth voices and different types of expression, beyond the written word.
“Paying attention to the very people who were just in schools, expanding the space their voices take up in academic research, and honoring their experiences by calling for change that’s directly informed by their expertise is essential if education systems are to truly serve and value each student with equity and love,” she said.
— By Ericka Mellon and Kathy Patnaude
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Showing result 1 - 5 of 1567 swedish dissertations containing the words Gender studies .
1. After idealism and difference : subjects of yellow feelings and sentimental narratives of migration
Author : Lan Kieu ; Maria Carbin ; Linda Berg ; Lene Myong ; Umeå universitet ; [] Keywords : HUMANIORA ; HUMANITIES ; SAMHÄLLSVETENSKAP ; SOCIAL SCIENCES ; Idealism ; difference ; universality ; ethics ; ethnicity ; love ; migration ; endurance ; mimetic desire ; monolingualism ; power ; gratitude ; agency. ; genusvetenskap ; gender studies ;
Abstract : After Idealism and Difference is a critical and ethical project of reading the postcolonial other. Taking a void from postcolonial and poststructuralist feminist critique, my thesis aims to deconstruct the privilege of the “marginalia” as the beloved object of feminist scholarship. READ MORE
2. “And I don’t know who we really are to each other” : Queers doing close relationships in Estonia
Author : Raili Uibo ; Ulrika Dahl ; Jenny Gunnarsson Payne ; Ana Cristina Santos ; Södertörns högskola ; [] Keywords : SAMHÄLLSVETENSKAP ; SOCIAL SCIENCES ; queer ; kinship ; closeness ; intimacy ; care practices ; Estonia ; post-socialism ; opacity ; precarity ; temporality. ; Kritisk kulturteori ; Critical and Cultural Theory ; Östersjö- och Östeuropaforskning ; Baltic and East European studies ;
Abstract : This dissertation explores the ways in which queers understand and practice close relationships in the political, economic and cultural circumstances of contemporary Estonia. The study draws on qualitative methods from sociology and anthropology and is situated at the intersection of queer studies, de/post-colonial studies, family and kinship studies. READ MORE
3. Digital Intimacies : Doing Digital Media Differently
Author : Helga Sadowski ; Cecilia Åsberg ; Jenny Sundén ; Linköpings universitet ; [] Keywords : SAMHÄLLSVETENSKAP ; SOCIAL SCIENCES ; HUMANIORA ; HUMANITIES ; SAMHÄLLSVETENSKAP ; SOCIAL SCIENCES ; SAMHÄLLSVETENSKAP ; SOCIAL SCIENCES ; Digital media ; intimacy ; cultural studies ; media studies ; affect ; feminism ; gender ; coding ; online harassment ; ASMR ; internet politics ; digital intimacy ; Digitala medier ; intimitet ; kulturstudier ; mediestudier ; affekt ; feminism ; genus ; programmering ; online trakasserier ; ASMR ; internetpolitik ; digital intimitet ;
Abstract : Digital media have become an integral part of many people’s everyday lives and constitute an intimate presence therein. Utilizing the concept of digital intimacy to focus on these recent developments, this doctoral dissertation takes the perspectives of feminist cultural studies and affect theory to analyze how digital media are becoming more intimate and how in turn intimacy is remediated within digital cultures. READ MORE
4. Social inequity in health : Explanation from a life course and gender perspective
Author : Masuma Novak ; Christina Ahlgren ; Anne Hammarström ; Kate Hunt ; Umeå universitet ; [] Keywords : MEDICIN OCH HÄLSOVETENSKAP ; MEDICAL AND HEALTH SCIENCES ; SAMHÄLLSVETENSKAP ; SOCIAL SCIENCES ; social inequity ; pathways ; social causation ; life course ; gender ; intersectionality ; smoking ; musculoskeletal disorders ; obesity ; social mobility ; Sweden ; Public health medicine research areas ; Folkhälsomedicinska forskningsområden ; Epidemiology ; Epidemiologi ; Public health science ; Folkhälsovetenskap ; Gender studies ; Genus ; Epidemiology ; epidemiologi ; hälso- och sjukvårdsforskning ; health services research ; näringslära ; Nutrition ; Occupational and Environmental Medicine ; arbets- och miljömedicin ; Social environment ; Social class ; Life style ; Obesity etiology ; Smoking epidemiology ; Musculoskeletal diseases etiology ; Intersektionalitet ; Socioekonomi ; Hälsa vikten rökning Sverige ; Sjukdomar kropp levnadsförhållanden ; Klasstillhörighet genus utbildning ; Social inequity ; Pathways ; Social causation ; Life course ; Gender ; Intersectionality ; Social mobility4 ; Sweden ; Socioeconomics ; Health obesity smoking Sweden ; Diseases body living conditions ; Class affinity gender education ;
Abstract : Background: A boy child born in a Gothenburg suburb has a life expectancy that is nine years shorter than that of another child just 23 km away, and among girls the difference is five years. There is no necessary biological reason to this observed difference. READ MORE
5. Trans Cinema and Its Exit Scapes : A Transfeminist Reading of Utopian Sensibility and Gender Dissidence in Contemporary Film
Author : Wibke Straube ; Cecilia Åsberg ; Nina Lykke ; Lann Hornscheidt ; Susan Stryker ; Linköpings universitet ; [] Keywords : SAMHÄLLSVETENSKAP ; SOCIAL SCIENCES ; HUMANIORA ; HUMANITIES ; Transgender studies ; transfeminism ; queer ; gender ; feminism ; multisensorial cinema ; haptic spectatorship ; touch ; hearing ; seeing ; exit scapes ; sensible cinematic intra-activity ; Trans Cinema ; visual cultural studies ; film theory ; Transstudier ; transfeminism ; queer ; genus ; feminism ; multisensorisk film ; haptic spectatorship ; beröring känsel ; hörsel ; seende ; exit scapes ; sensible cinematic intra-activity ; trans cinema ; visuella kulturstudier ; filmteori ;
Abstract : Trans Cinema and its Exit Scapes offers a critical and creative intervention into cultural representations of gendered body dissidence in contemporary film. The study argues for the possibility of finding spaces of “disidentification”, so-called “exit scapes” within the films. READ MORE
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100 Gender Research Topics For Academic Papers
Gender research topics are very popular across the world. Students in different academic disciplines are often asked to write papers and essays about these topics. Some of the disciplines that require learners to write about gender topics include:
Sociology Psychology Gender studies Business studies
When pursuing higher education in these disciplines, learners can choose what to write about from a wide range of gender issues topics. However, the wide range of issues that learners can research and write about when it comes to gender makes choosing what to write about difficult. Here is a list of the top 100 gender and sexuality topics that students can consider.
Controversial Gender Research Topics
Do you like the idea of writing about something controversial? If yes, this category has some of the best gender topics to write about. They touch on issues like gender stereotypes and issues that are generally associated with members of a specific gender. Here are some of the best controversial gender topics that you can write about.
- How human behavior is affected by gender misconceptions
- How are straight marriages influenced by gay marriages
- Explain the most common sex-role stereotypes
- What are the effects of workplace stereotypes?
- What issues affect modern feminism?
- How sexuality affects sex-role stereotyping
- How does the media break sex-role stereotypes
- Explain the dual approach to equality between women and men
- What are the most outdated sex-role stereotypes
- Are men better than women?
- How equal are men and women?
- How do politics and sexuality relate?
- How can films defy gender-based stereotypes
- What are the advantages of being a woman?
- What are the disadvantages of being a woman?
- What are the advantages of being a man?
- Discuss the disadvantages of being a woman
- Should governments legalize prostitution?
- Explain how sexual orientation came about?
- Women communicate better than men
- Women are the stronger sex
- Explain how the world can be made better for women
- Discuss the future gender norms
- How important are sex roles in society
- Discuss the transgender and feminism theory
- How does feminism help in the creation of alternative women’s culture?
- Gender stereotypes in education and science
- Discuss racial variations when it comes to gender-related attitudes
- Women are better leaders
- Men can’t survive without women
This category also has some of the best gender debate topics. However, learners should be keen to pick topics they are interested in. This will enable them to ensure that they enjoy the research and writing process.
Interesting Gender Inequality Topics
Gender-based inequality is witnessed almost every day. As such, most learners are conversant with gender inequality research paper topics. However, it’s crucial to pick topics that are devoid of discrimination of members of a specific gender. Here are examples of gender inequality essay topics.
- Sex discrimination aspects in schools
- How to identify inequality between sexes
- Sex discrimination causes
- The inferior role played by women in relationships
- Discuss sex differences in the education system
- How can gender discrimination be identified in sports?
- Can inequality issues between men and women be solved through education?
- Why are professional opportunities for women in sports limited?
- Why are there fewer women in leadership positions?
- Discuss gender inequality when it comes to work-family balance
- How does gender-based discrimination affect early childhood development?
- Can sex discrimination be reduced by technology?
- How can sex discrimination be identified in a marriage?
- Explain where sex discrimination originates from
- Discuss segregation and motherhood in labor markets
- Explain classroom sex discrimination
- How can inequality in American history be justified?
- Discuss different types of sex discrimination in modern society
- Discuss various factors that cause gender-based inequality
- Discuss inequality in human resource practices and processes
- Why is inequality between women and men so rampant in developing countries?
- How can governments bridge gender gaps between women and men?
- Work-home conflict is a sign of inequality between women and men
- Explain why women are less wealthy than men
- How can workplace gender-based inequality be addressed?
After choosing the gender inequality essay topics they like, students should research, brainstorm ideas, and come up with an outline before they start writing. This will ensure that their essays have engaging introductions and convincing bodies, as well as, strong conclusions.
Amazing Gender Roles Topics for Academic Papers and Essays
This category has ideas that slightly differ from gender equality topics. That’s because equality or lack of it can be measured by considering the representation of both genders in different roles. As such, some gender roles essay topics might not require tiresome and extensive research to write about. Nevertheless, learners should take time to gather the necessary information required to write about these topics. Here are some of the best gender topics for discussion when it comes to the roles played by men and women in society.
- Describe gender identity
- Describe how a women-dominated society would be
- Compare gender development theories
- How equally important are maternity and paternity levees for babies?
- How can gender-parity be achieved when it comes to parenting?
- Discuss the issues faced by modern feminism
- How do men differ from women emotionally?
- Discuss gender identity and sexual orientation
- Is investing in the education of girls beneficial?
- Explain the adoption of gender-role stereotyped behaviors
- Discuss games and toys for boys and girls
- Describe patriarchal attitudes in families
- Explain patriarchal stereotypes in family relationships
- What roles do women and men play in politics?
- Discuss sex equity and academic careers
- Compare military career opportunities for both genders
- Discuss the perception of women in the military
- Describe feminine traits
- Discus gender-related issues faced by women in gaming
- Men should play major roles in the welfare of their children
- Explain how the aging population affects the economic welfare of women?
- What has historically determined modern differences in gender roles?
- Does society need stereotyped gender roles?
- Does nature have a role to play in stereotyped gender roles?
- The development and adoption of gender roles
The list of gender essay topics that are based on the roles of each sex can be quite extensive. Nevertheless, students should be keen to pick interesting gender topics in this category.
Important Gender Issues Topics for Research Paper
If you want to write a paper or essay on an important gender issue, this category has the best ideas for you. Students can write about different issues that affect individuals of different genders. For instance, this category can include gender wage gap essay topics. Wage variation is a common issue that affects women in different countries. Some of the best gender research paper topics in this category include:
- Discuss gender mainstreaming purpose
- Discuss the issue of gender-based violence
- Why is the wage gap so common in most countries?
- How can society promote equality in opportunities for women and men in sports?
- Explain what it means to be transgender
- Discuss the best practices of gender-neutral management
- What is women’s empowerment?
- Discuss how human trafficking affects women
- How problematic is gender-blindness for women?
- What does the glass ceiling mean in management?
- Why are women at a higher risk of sexual exploitation and violence?
- Why is STEM uptake low among women?
- How does ideology affect the determination of relations between genders
- How are sporting women fighting for equality?
- Discuss sports, women, and media institutions
- How can cities be made safer for girls and women?
- Discuss international trends in the empowerment of women
- How do women contribute to the world economy?
- Explain how feminism on different social relations unites men and women as groups
- Explain how gender diversity influence scientific discovery and innovation
This category has some of the most interesting women’s and gender studies paper topics. However, most of them require extensive research to come up with hard facts and figures that will make academic papers or essays more interesting.
Students in high schools and colleges can pick what to write about from a wide range of gender studies research topics. However, some gender studies topics might not be ideal for some learners based on the given essay prompt. Therefore, make sure that you have understood what the educator wants you to write about before you pick a topic. Our experts can help you choose a good thesis topic . Choosing the right gender studies topics enables learners to answer the asked questions properly. This impresses educators to award them top grades.
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Men forget about female researchers, says study on gender citation gap.
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Female researchers are cited less than their male counterparts.
In the field of psychology, studies have shown a citation gap, where the research contributions of men are referenced more often than those of women. A new study offers a potential explanation for the discrepancy—male researchers forget about women’s contributions.
Despite representing two-thirds of psychology faculty members, women's academic contributions are cited less often than men's—with papers featuring women as first or last authors receiving around 30% fewer citations than those with men as first or last authors.
The new study, “I Forgot That You Existed: Role of Memory Accessibility in the Gender Citation Gap,” published in American Psychologist suggests that male professors' publications might receive more citations because men more readily recall their male colleagues' work.
In the study, the researchers asked psychology professors at top-tier research universities to list up to five experts in their area of study. Overall, female researchers were listed less frequently than male researchers.
Further analyses revealed who was most likely to recall male experts versus female experts in their lists. “The underrepresentation of women researchers was entirely driven by men,” the researchers write. In other words, women recalled male and female colleagues at the same rate, but men predominantly listed other men.
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Also interesting was the order in which the professors listed the experts. Men were more likely to include women later in their lists, but women did not vary in the order in which they listed women versus men. “This suggests that for men, female researchers were available in their memory but simply were not as accessible as male researchers,” the authors write.
Why do men have difficulty calling to mind women’s contributions? Science tends to be stereotyped as a male domain. Studies have shown that when you ask someone to draw a scientist, you typically get a picture of a man. Similarly, attributes like brilliance and excellence are also associated with men. When male professors were considering who to list as experts, these stereotypes were likely activated, resulting in the recall of male experts in their field.
Other research has also found that people are more likely to remember things consistent with stereotypes. This happens unconsciously, so it’s not likely the men are intentionally overlooking women.
Nonetheless, the lack of citations likely impacts the careers of female academics. “Citations play a large role in crucial career decisions, such as hiring and tenure status, and continue to affect a researcher’s prestige over the course of their career,” the researchers explain in the paper. In addition, the marginalization of women's research is bad for science. It means a substantial body of work is neglected, and the field is potentially missing out on unique insights and diverse perspectives.
It's important to note that men’s work isn’t cited more because their research is of higher quality than women’s. Veronica Yan, a professor at The University of Texas at Austin and lead author of the study, explains, “There’s little empirical evidence to support the claim that men’s work is simply better or more worthy of citation. There is, however, a wealth of empirical evidence showing there exist gender biases in judgment and decision-making in academia and beyond. The hopeful message from our data is that women do not show the bias at all—the bias we found was driven by men. Moreover, the patterns seem to be changing with younger researchers, and there was even evidence of the reverse bias for younger women.”
Although this study examined academics in psychology, other fields face similar problems. For example, research shows that the gender citation imbalance in the field of neuroscience is driven mainly by male authors. In political science, they’ve even named the phenomenon. The “ Matthew Effect ” occurs when men’s research is viewed as the most central and important in a field. By contrast, the “Matilda effect” is when women’s research is valued less than men’s or their ideas are attributed to male scholars.
Yan believes that the research findings generalize beyond academia. “Our project started as a way of examining the citation gap, but it isn’t only about the citation gap. Our results highlight the biases in who comes to mind when one thinks about excellence. These biases can affect the ways in which we raise people up and give them platforms—for example, when thinking about who to invite for a talk, who to nominate for fellowships and awards.”
“It will be interesting to check back in a decade. Ideally, we see that there is no more gender bias in either direction,” Yan adds.
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Theses/Dissertations from 2009 PDF. Gender Trouble In Northern Ireland: An Examination Of Gender And Bodies Within The 1970s And 1980s Provisional Irish Republican Army In Northern Ireland, Jennifer Earles. PDF "You're going to Hollywood"!: Gender and race surveillance and accountability in American Idol contestant's performances, Amanda ...
A Guide to Researching and Writing a Senior Thesis | 9 FROM PROFESSOR BRAD EPPS "A senior thesis should be a joy rather than a burden, a passion rather than an obligation. In an hon-ors-only concentration such as WGS, the sense of the thesis as a require-ment can be great, so avail yourself of your friends, teachers, tutors, and,
What is gender? A deconstruction of the concept. Defining gender is both highly important and complex. Hegarty (Citation 2001) suggests that the quantitative researcher should address this definition from a performative perspective to de-construct the gender concept.In this way, gender is a non-essential category which instead is repeatedly performed based on societal norms (Morgenroth & Ryan ...
Michel, Andrea, "Understanding gender roles in the workplace: a qualitative research study" (2020). Theses and Dissertations. 1165. https://digitalcommons.pepperdine.edu/etd/1165 This Thesis is brought to you for free and open access by Pepperdine Digital Commons. It has been accepted for
Gender equality is a major problem that places women at a disadvantage thereby stymieing economic growth and societal advancement. In the last two decades, extensive research has been conducted on gender related issues, studying both their antecedents and consequences. However, existing literature reviews fail to provide a comprehensive and clear picture of what has been studied so far, which ...
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An archive of dissertations and theses written at UW by Gender, Women, and Sexuality Studies students since 2012. Finding UW GWSS Dissertations The UW Libraries has copies of dissertations and masters theses written by University of Washington students (physical distribution of dissertations ended in 2012).
As of 2014, all newly submitted Graduate Center dissertations and theses appear in Academic Works shortly after graduation. Some works are immediately available to read and download, and some become available after an embargo period set by the author. ... Gender, Race, and Sexuality in Onscreen Portrayals of Women Werewolves, Ashleigh K ...
The vast majority of theories reviewed argue that gender inequality is a barrier to economic development, particularly over the long run. The focus on long-run supply-side models reflects a recent effort by growth theorists to incorporate two stylized facts of economic development in the last two centuries: (i) a strong positive association between gender equality and income per capita (Fig. 1 ...
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that gender and sexuality had a significant impact on those accused during the European witch trials. This thesis will work towards understanding the nature of that impact. Most studies conducted on the subject have explored the connections between the witch trails and various aspects such as the economy, social hierarchy, and religion. Those three
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Dissertations and Theses. If you're interested in learning more about recent and past Women's Studies/Women's, Gender and Sexuality Studies graduate students' dissertation and thesis research, please click the following links to view more information on OhioLink Electronic Thesis and Dissertation Center. Dissertation and Thesis List.
Bornstein, a trans woman who finds gender deeply problematic, sums up this resistance nicely in her 1995 book title, Gender Outlaw: On Men, Women and the Rest of Us1. It is commonly argued that biological differences between males and females determine gender by causing enduring differences in capabilities and dispositions.
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This dissertation examines the interaction between gender, the welfare state and public opinion in advanced democracies. My first stream of research is driven by an interest and concern for how family policies (re)produce gender and class inequalities, and my goal is to highlight the subtle incentives embedded in family policies that promote ...
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100 Gender Research Topics For Academic Papers. Gender research topics are very popular across the world. Students in different academic disciplines are often asked to write papers and essays about these topics. Some of the disciplines that require learners to write about gender topics include: Sociology. Psychology.
For example, research shows that the gender citation imbalance in the field of neuroscience is driven mainly by male authors. In political science, they've even named the phenomenon.