The impact of gendered factors on women's participation in employment: Evidence from a multi-country fsQCA and SEM approach
Published 2026-03-25
Keywords
- Female Labour Force, Gender Social Norms, Inequality-Adjusted Education, Gender Development, Gender Inequality
- Kadın İşgücü, Toplumsal Cinsiyet Normları, Eşitsizliğe Göre Düzeltilmiş Eğitim, Toplumsal Cinsiyet Gelişimi, Toplumsal Cinsiyet Eşitsizliği
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Copyright (c) 2026 Sergen Gürsoy

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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Abstract
In the context of increasing global gender disparities and the Sustainable Development Goals (SDGs), understanding the structural determinants of female labour force participation has become crucial both theoretically and for policy. Despite the growing body of research on gender and labour markets, cross-country evidence integrating symmetric and asymmetric analytical approaches remains limited. This study aims to analyse the effects of gender-based structural factors on women's labour force participation and to examine country-specific results. Using a sample of 31 countries with shared location and time data and 2022 data, the Gender Social Norms Index (GSNI) (economic), the Inequality-Adjusted Education Index (IAE), the Gender Development Index (GDI), and the Gender Inequality Index (GII) variables on Female Labour Force Participation (FLFP) were examined. The analysis was conducted using a two-stage (symmetric and asymmetric) mixed-methods research design (explanatory sequential), involving structural equation modelling (SEM) with SmartPLS and fuzzy-set qualitative comparative analysis (fsQCA). According to the research findings, GDI has a positive effect on FLFP, whereas GII and GSNI have a negative effect on FLFP. IAE was found to have no direct significant effect but may play an indirect role through interactions with other factors. On the other hand, the importance-performance results revealed that GDI has a strong positive effect on FLFP in the short term. According to FsQCA results, women's labour force participation can be explained by distinct configurations across countries, and these differences necessitate context-specific policies.
References
- Abraha, N. (2020). Foreign Direct Investment and Gender Inequalities in Labour Force Participation in African Countries. Master of Science in Global Studies.
- Adegbile, A. S., Ogundana, O. M., & Adesola, S. (2024). Gender-based policies and women’s entrepreneurship: an fsQCA analysis of sub-Saharan African countries. International Journal of Entrepreneurial Behavior & Research, 30(7), 1811-1837.
- Akhtar, R., Masud, M. M., Jafrin, N., & Shahabudin, S. M. (2023). Economic growth, gender inequality, openness of trade, and female labour force participation: A nonlinear ARDL approach. Economic Change and Restructuring, 56(3), 1725-1752.
- Albanesi, S., & Prados, M. J. (2022). Slowing Women's Labour Force Participation: The Role of Income Inequality (No. w29675). National Bureau of Economic Research.
- Alesina, A., Giuliano, P., & Nunn, N. (2013). On the origins of gender roles: Women and the plough. The quarterly journal of economics, 128(2), 469-530.
- Ali, F., Rasoolimanesh, S. M., Sarstedt, M., Ringle, C. M., & Ryu, K. (2018). An assessment of the use of partial least squares structural equation modeling (PLS-SEM) in hospitality research. International journal of contemporary hospitality management, 30(1), 514-538.
- Alpdoğan, H., & Türkmen, N. C. (2025). Yeni Sanayileşen Ülkelerde Toplumsal Cinsiyet Eşitsizliği Ekseninde Kadın İşgücüne Katılım Oranı. Akademik Araştırmalar ve Çalışmalar Dergisi (AKAD), 17(33), 1094-1113.
- Angeles, A. C., Donaire, S. J., Reyes, R. B., & Cabauatan, R. (2021). The effect of gender inequality in education, labour force participation and economic opportunity on the income distribution of India. Jurnal Studi Guru dan Pembelajaran, 4(3), 781-794.
- Archer, M. S. (1995). Realist social theory: The morphogenetic approach. Cambridge university press.
- Baliamoune‐Lutz, M., & McGillivray, M. (2009). Does gender inequality reduce growth in sub‐Saharan African and Arab countries?. African Development Review, 21(2), 224-242.
- Bandiera, O., & Natraj, A. (2013). Does gender inequality hinder development and economic growth? Evidence and policy implications. The World Bank Research Observer, 28(1), 2-21.
- Barro, R. J., & Lee, J. W. (2013). A new data set of educational attainment in the world, 1950–2010. Journal of development economics, 104, 184-198.
- Bawazir, A. A., Osman, A. F., & Aslam, M. (2022). Factors affecting female labour force participation in the Middle East: An empirical evidence from panel data approach. The Journal of Developing Areas, 56(1), 59-72.
- Bredtmann, J., & Otten, S. (2025). Natives’ gender norms and the labour market integration of female immigrants. World Development, 185, 106794.
- Bryman, A. (2016). Social research methods. Oxford university press.
- Castellano, R., & Rocca, A. (2014). Gender gap and labour market participation: A composite indicator for the ranking of European countries. International Journal of Manpower, 35(3), 345-367.
- Chakrabartty, S. N. (2024). Aggregation of Correlates of Female Labour Force Participation. International Journal of Clinical Research and Reports, 3(1).
- Chen, H., & Tian, Z. (2022). Environmental uncertainty, resource orchestration and digital transformation: A fuzzy-set QCA approach. Journal of Business Research, 139, 184-193. https://doi.org/10.1016/j.jbusres.2021.09.048
- Chuanchuan, Z., & Jingwen, W. (2021). Gender roles and women’s labour market outcomes. China Economic Quarterly International, 1(2), 97-108.
- Çizel, R., Aşkun, V., Durmaz, Ş., Yağmur, A., & Gürsoy, S. (2023). Ne eğitimde ne istihdamda (NEET) olma ile ilişkili faktörlerin OECD bağlantılı ülkelerde karşılaştırmalı analizi: Bulanık küme nitel karşılaştırmalı analiz (fsqca). Sosyoekonomi, 31(57), 437-475.
- Cohen, J. (2013). Statistical power analysis for the behavioral sciences. routledge.
- Cohen, L., Manion, L., & Morrison, K. (2002). Research methods in education. routledge.
- Cooray, A., & Potrafke, N. (2011). Gender inequality in education: Political institutions or culture and religion?. European Journal of Political Economy, 27(2), 268-280.
- Costagliola, A. (2021). Labour participation and gender inequalities in India: Traditional gender norms in India and the decline in the Labour Force Participation Rate (LFPR). The Indian Journal of Labour Economics, 64(3), 531-542.
- Creswell, J. W., & Clark, V. L. P. (2017). Designing and conducting mixed methods research. Sage publications.
- 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 labour market: A quantitative estimate. Journal of human capital, 10(1), 1-32.
- Denzin, N. K., & Lincoln, Y. S. (Eds.). (2011). The Sage handbook of qualitative research. sage.
- Dollar, D., & Gatti, R. (1999). Gender inequality, income, and growth: are good times good for women? (Vol. 1). Washington, DC: Development Research Group, The World Bank.
- Domit, S., & Kesimal, D. (2024). Labour market gender gaps in Türkiye: A bird’s eye view. International Monetary Fund.
- Duflo, E. (2012). Women empowerment and economic development. Journal of Economic literature, 50(4), 1051-1079.
- Edwards, J. H. (2024). Education Quality, Income Inequality, and Female Labour Force Participation in Brazil (No. 2409). Tulane University, Department of Economics.
- el Mahdi, A., & el Khawaga, O. (2014). Education systems and their impact on the labour market. In Economic and social development of the southern and eastern Mediterranean countries (pp. 253-266). Cham: Springer International Publishing.
- Elborgh-Woytek, M. K., Newiak, M. M., Kochhar, M. K., Fabrizio, M. S., Kpodar, M. K., Wingender, M. P., ... & Schwartz, M. G. (2013). Women, work, and the economy: Macroeconomic gains from gender equity. International Monetary Fund.
- Elgin, C., & Elveren, A. Y. (2021). Informality, inequality, and feminization of labour. In Women's Studies International Forum (Vol. 88, p. 102505). Pergamon.
- Elveren, A. Y., Moghadam, V. M., & Dudu, S. (2022, September). Militarization, women's labour force participation, and gender inequality: Evidence from global data. In Women's Studies International Forum (Vol. 94, p. 102621). Pergamon.
- Emmenegger, P., Schraff, D., & Walter, A. (2014). QCA, the truth table analysis and large-N survey data: The benefits of calibration and the importance of robustness tests. In 2nd international QCA expert workshop (pp. 1-36).
- Falk, R. F., & Miller, N. B. (1992). A primer for soft modeling. University of Akron Press.
- Ferrant, G., Pesando, L. M., & Nowacka, K. (2014). Unpaid Care Work: The missing link in the analysis of gender gaps in labour outcomes. Boulogne Billancourt: OECD Development Center, 20.
- Fiss, P. C. (2011). Building better causal theories: A fuzzy set approach to typologies in organization research. Academy of management journal, 54(2), 393-420.
- Gaddis, I., & Klasen, S. (2014). Economic development, structural change, and women’s labour force participation: A reexamination of the feminization U hypothesis. Journal of population economics, 27, 639-681.
- Gefen, D., Straub, D., & Boudreau, M. C. (2000). Structural equation modeling and regression: Guidelines for research practice. Communications of the association for information systems, 4(1), 7.
- Gonzales, M. C., Jain-Chandra, M. S., Kochhar, M. K., Newiak, M. M., & Zeinullayev, M. T. (2015). Catalyst for change: Empowering women and tackling income inequality. International Monetary Fund.
- Greckhamer, T., Misangyi, V. F., Elms, H., & Lacey, R. (2008). Using qualitative comparative analysis in strategic management research: An examination of combinations of industry, corporate, and business-unit effects. Organizational research methods, 11(4), 695-726.
- Günbayi, I., & Sorm, S. (2018). Social paradigms in guiding social research design: The functional, interpretive, radical humanist and radical structural paradigms. Online Submission, 9(2), 57-76. ISSN-1309-6249
- Guo, R., Wang, J., & Li, X. (2025). Intersectional analysis of discrimination on perceived job insecurity among young Chinese women—based on FsQCA method. Scientific Reports, 15(1), 40671.
- Gutiérrez-Martínez, I., Saifuddin, S. M., & Haq, R. (2021). The United Nations gender inequality index. Handbook on diversity and inclusion indices, 83-100.
- Hair Jr, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis. In Multivariate data analysis (pp. 785-785).
- Hair Jr, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Partial least squares structural equation modeling (PLS-SEM) using R: A workbook (p. 197). Springer Nature.
- Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (3rd ed.). Sage. https://doi.org/10.1007/978-3-030-80519-7
- Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European business review, 31(1), 2-24.
- Hair, J., & Alamer, A. (2022). Partial Least Squares Structural Equation Modeling (PLS-SEM) in second language and education research: Guidelines using an applied example. Research methods in applied linguistics, 1(3), 100027.
- Halim, D., O’Sullivan, M. B., & Sahay, A. (2023). Increasing female labour force participation. World Bank Group Gender Thematic Policy Notes Series.
- Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. In New challenges to international marketing (Vol. 20, pp. 277-319). Emerald Group Publishing Limited.
- Huynh, Q., & Ku, H. (2025). Gender norms and female labour supply: Evidence from export shocks in Vietnam. IZA-Institute of Labour Economics.
- Iheonu, C. O., Nwodo, O., Anaduaka, U., & Ekpo, U. (2020). Inequality and female labour force participation in west Africa. European Journal of Government and Economics (EJGE), 9(3), 252-264.
- ILO (International Labour Organization). (2022). World Employment and Social Outlook: Trends 2022. https://www.ilo.org/publications/flagship-reports/world-employment-and-social-outlook-trends-2022
- ILO. (2017). World employment and social outlook: Trends for women 2017. International Labour Organization.
- ILO. (2022). ILOSTAT Database: Labour Force Participation Rate. International Labour Organization. https://ilostat.ilo.org
- Inglehart, R., & Norris, P. (2003). Rising tide: Gender equality and cultural change around the world. Cambridge University Press.
- Jabeen, S., Haq, S., Jameel, A., Hussain, A., Asif, M., Hwang, J., & Jabeen, A. (2020). Impacts of rural women’s traditional economic activities on household economy: Changing economic contributions through empowered women in rural Pakistan. Sustainability, 12(7), 2731.
- Jayachandran, S. (2015). The roots of gender inequality in developing countries. Annual review of economics, 7(1), 63-88.
- Jayachandran, S. (2020). Social norms as a barrier to women's employment in developing countries (No. w27449). National Bureau of Economic Research.
- Kabeer, N. (2012). Women’s economic empowerment and inclusive growth: Labour markets and enterprise development. IDRC & DFID Evidence Paper.
- Kabeer, N., & Natali, L. (2013). Gender equality and economic growth: Is there a win‐win?. IDS Working Papers, 2013(417), 1-58.
- Kesler, C. (2018). Gender norms, work-family policies, and labour force participation among immigrant and native-born women in Western Europe. Socius, 4, 2378023118804701.
- Klasen, S. (2018). The impact of gender inequality on economic performance in developing countries. Annual Review of Resource Economics, 10(1), 279-298.
- Klasen, S., & Lamanna, F. (2009). The impact of gender inequality in education and employment on economic growth: new evidence for a panel of countries. Feminist economics, 15(3), 91-132.
- Klasen, S., Le, T. T. N., Pieters, J., & Santos Silva, M. (2021). What drives female labour force participation? Comparable micro-level evidence from eight developing and emerging economies. The Journal of Development Studies, 57(3), 417-442.
- Komuryakan, F. (2026). Gender Identity and Women’s Labour Market Behavior: Evidence from Türkiye. Social Indicators Research, 181(3), 70.
- Kuldasheva, Z., & Ahmad, M. (2025). Empowering economic growth through female labour force participation in central Asia: Evidence from regression and dynamic analyses. Asia and the Global Economy, 5(2), 100115.
- Kutner, M. H., Nachtsheim, C. J., Neter, J., & Li, W. (2005). Applied linear statistical models. McGraw-hill.
- Mahdi Abaker, M. O. S., Khan, K., & Siddiqua, S. I. (2025). Women’s motivation at work in Asian countries: a configuration analysis. Journal of Management Development, 1-24.
- Marcus, R. (2021). Gender, social norms, and women’s economic empowerment. Women's Economic Empowerment, 126-153.
- Marjanović, I., Popović, Ž., & Milanović, S. (2024). Determinants of female labour force participation: Panel data analysis. Central European Business Review, 13(2), 69-88.
- Maxwell, N. L. (1990). Changing female labour force participation: Influences on income inequality and distribution. Social Forces, 68(4), 1251-1266.
- Misangyi, V. F., Greckhamer, T., Furnari, S., Fiss, P. C., Crilly, D., & Aguilera, R. (2017). Embracing causal complexity: The emergence of a neo-configurational perspective. Journal of management, 43(1), 255-282.
- Nasir, H., Alam, S., & Fatima, A. (2020). The impact of gender inequality in education on females’ labour force participation: A case of some cities of Pakistan. International Economics Studies, 50(2), 1-16.
- Neuman, W. (2014) Social Research Methods: Qualitative and Quantitative Approaches. Pearson, Essex, UK.
- O’brien, R. M. (2007). A caution regarding rules of thumb for variance inflation factors. Quality & quantity, 41, 673-690.
- Osundina, O. A. (2020). Sustainable development: Does improvement in education and health of women improve female labour force participation rate?. Sustainable Development, 28(1), 13-24.
- Pappas, I. O., & Woodside, A. G. (2021). Fuzzy-set Qualitative Comparative Analysis (fsQCA): Guidelines for research practice in Information Systems and marketing. International Journal of Information Management, 58, 102310. https://doi.org/10.1016/j.ijinfomgt.2021.102310
- Psacharopoulos, G., & Patrinos, H. A. (2018). Returns to investment in education: a decennial review of the global literature. Education Economics, 26(5), 445-458.
- Ragin, C. C. (2006). Set relations in social research: Evaluating their consistency and coverage. Political Analysis, 14(3), 291–310.
- Ragin, C. C. (2009). Redesigning social inquiry: Fuzzy sets and beyond. University of Chicago press.
- Ragin, C. C., & Davey, S. (2014). fs/QCA, Fuzzy-set/qualitative comparative analysis, version 2.5. Tucson, AZ: University of Arizona.
- Ramayah, T. J. F. H., Cheah, J., Chuah, F., Ting, H., & Memon, M. A. (2018). Partial least squares structural equation modeling (PLS-SEM) using smartPLS 3.0. An updated guide and practical guide to statistical analysis, 1(1), 1-72.
- Rigdon, E. E. (2012). Rethinking partial least squares path modeling: In praise of simple methods. Long range planning, 45(5-6), 341-358.
- Rihoux, B., & Ragin, C. C. (Eds.). (2009). Configurational comparative methods: Qualitative Comparative Analysis (QCA) and related techniques. SAGE Publications.
- Ringle, C. M., & Sarstedt, M. (2016). Gain more insight from your PLS-SEM results: The importance-performance map analysis. Industrial management & data systems, 116(9), 1865-1886.
- Roll, Y., Semyonov, M., & Mandel, H. (2024). Gendered globalization: The relationship between globalization and gender gaps in employment and occupational opportunities. Research in Social Stratification and Mobility, 92, 100930.
- Saha, T., & Singh, P. (2025). Role of labour market dynamics in influencing global female labour force participation. Journal of Economic Studies, 52(1), 17-37.
- Santos Silva, M., & Klasen, S. (2021). Gender inequality as a barrier to economic growth: a review of the theoretical literature. Review of Economics of the Household, 19(3), 581-614.
- Sarstedt, M., & Mooi, E. (2014). A concise guide to market research. The Process, Data, and, 12, 1-7.
- Sarstedt, M., Hair Jr, J. F., Nitzl, C., Ringle, C. M., & Howard, M. C. (2020). Beyond a tandem analysis of SEM and PROCESS: Use of PLS-SEM for mediation analyses!. International Journal of Market Research, 62(3), 288-299.
- Sarstedt, M., Hair, J. F., Cheah, J. H., Becker, J. M., & Ringle, C. M. (2022). How to specify, estimate, and validate higher-order constructs in PLS-SEM. Australasian Marketing Journal, 30(3), 230–240.
- Sayer, A. (1999). Realism and social science. Sage Publications.
- Schneider, C. Q. (2018). Realists and idealists in QCA. Political Analysis, 26(2), 246-254.
- Schneider, C. Q., & Wagemann, C. (2012). Set-theoretic methods for the social sciences: A guide to qualitative comparative analysis. Cambridge University Press.
- Seguino, S. (2010). Gender, distribution, and balance of payments constrained growth in developing countries. Review of Political Economy, 22(3), 373-404.
- Selezneva, E., & Van Kerm, P. (2013). Inequality-adjusted gender wage differentials in Germany (No. 579). SOEPpapers on Multidisciplinary Panel Data Research.
- Sever, C. (2024). Gender Inequality in the WAEMU: Current Situation and Opportunities.
- Shuangshuang, Y., Zhu, W., Mughal, N., Aparcana, S. I. V., & Muda, I. (2023). The impact of education and digitalization on female labour force participation in BRICS: an advanced panel data analysis. Humanities and Social Sciences Communications, 10(1), 598.
- Skarmeas, D., Leonidou, C. N., & Saridakis, C. (2014). Examining the role of CSR skepticism using fuzzy-set qualitative comparative analysis. Journal of business research, 67(9), 1796-1805.
- Sudo, N. (2017). The effects of women's labour force participation: An explanation of changes in household income inequality. Social Forces, 95(4), 1427-1450.
- Teso, E. (2019). The long-term effect of demographic shocks on the evolution of gender roles: Evidence from the transatlantic slave trade. Journal of the European Economic Association, 17(2), 497-534.
- Thévenon, O. (2013). Drivers of female labour force participation in the OECD (Vol. 145). Paris: OECD Publishing.
- Thiem, A. (2017). Conducting configurational comparative research with qualitative comparative analysis: a hands-on tutorial for applied evaluation scholars and practitioners. American Journal of Evaluation, 38(3), 420-433.
- Thiem, A., & Dusa, A. (2013). QCA: A package for qualitative comparative analysis.
- Ting, X., & Zhou, Y. (2024). How women hold up half the sky? A configurational analysis of women’s political leadership participation?. Gender in Management: An International Journal, 39(6), 796-812.
- Tsani, S., Paroussos, L., Fragiadakis, C., Charalambidis, I., Capros, P. (2015). Female Labour Force Participation and Economic Development. In: Ayadi, R., Dabrowski, M., De Wulf, L. (eds) Economic and Social Development of the Southern and Eastern Mediterranean Countries. Springer, Cham.
- UNDP (2022). Human Development Report 2021/2022: Uncertain Times, Unsettled Lives. New York: United Nations Development Programme.
- UNDP (United Nations Development Programme). (2023). 2023 Gender Social Norms Index (GSNI): Breaking down gender biases: Shifting social norms towards gender equality. New York.
- UNDP (United Nations Development Programme). (2023). Human Development Report 2023: Gender and education indicators, https://hdr.undp.org
- UNDP. (2020). Human Development Report 2020. United Nations Development Programme.
- UNDP. (2023). Gender Social Norms Index 2023 Global Report: Breaking down gender biases. United Nations Development Programme. https://hdr.undp.org/content/2023-gender-social-norms-index-gsni#/indicies/GSNI
- UNDP. (2025). Gender Development Index (GDI). https://hdr.undp.org/gender-development-index#/indicies/GDI
- UNESCO. (2021). Global Education Monitoring Report. https://gem-report-2021.unesco.org/
- Verick, S. (2014). Female labour force participation in developing countries. IZA World of Labour.
- Verick, S. (2018). Female labour force participation and development. IZA World of Labour.
- Voumik, L. C., Rahman, M. H., Islam, M. A., Chowdhury, M. A. S., & Zimon, G. (2023). The impact of female education, trade openness, per capita GDP, and urbanization on women’s employment in South Asia: Application of CS-ARDL model. Systems, 11(2), 97.
- Women, U. N. (2022). Progress on the sustainable development goals: The gender snapshot 2022. https://www.unwomen.org/en/digital-library/publications/2022/09/progress-on-the-sustainable-development-goals-the-gender-snapshot-2022
- Woodside, A. G. (2013). Moving beyond multiple regression analysis to algorithms: Calling for adoption of a paradigm shift from symmetric to asymmetric thinking in data analysis and crafting theory. Journal of business research, 66(4), 463-472.
- World Bank. (2022). Female Labour Force Participation – Data Story. World Bank Gender Data Portal. https://genderdata.worldbank.org/en/data-stories/flfp-data-story/
- World Economic Forum. (2024). Global Gender Gap Report 2024. World Economic Forum. https://www.weforum.org/publications/global-gender-gap-report-2024/in-full/benchmarking-gender-gaps-2024-2e5f5cd886/
- Yavuz, R. A. (2016). Toplumsal cinsiyet eşitsizliği ekseninde kadin istihdami ve ekonomik şiddet. Journal of Life Economics, 3(3), 77-100.
- Zawaira, T., Clance, M., & Chisadza, C. (2023). Social institutions, gender attitudes and female labour force participation in sub‐Saharan Africa. South African Journal of Economics, 91(2), 186-213.


