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BRICS Ülkelerinde Toplumsal Cinsiyet Eşitsizliğinin Siyasal Ekonomisi: Bir Panel Veri Analizi

Yıl 2025, Cilt: 8 Sayı: 2, 690 - 718, 30.11.2025
https://doi.org/10.33708/ktc.1739033

Öz

Bu çalışma, toplumsal cinsiyet eşitsizliğinin politik iktisadını 1990–2018 dönemi için BRICS ülkeleri (Brezilya, Rusya, Hindistan, Çin ve Güney Afrika) özelinde panel veri analiziyle incelemektedir. Kadınların eğitim düzeyi ve iş gücüne katılımı olmak üzere iki temel gösterge üzerinden toplumsal cinsiyet eşitsizliği değerlendirilmiş; demokrasi (kurumsal), dini aidiyet (kültürel), kişi başına düşen GSYH ve ticaret açıklığı (ekonomik) ile doğurganlık oranı (demografik) belirleyici değişkenler olarak modele dahil edilmiştir. Rastgele Etkiler, Ağırlıklı Panel Regresyonu (PWR) ve Sabit Etkiler Vektör Ayrıştırması (FEVD) gibi çeşitli tahmin yöntemleri kullanılarak farklı etki düzeyleri karşılaştırılmıştır.
Bulgular, kişi başına düşen GSYH’nin eğitim düzeyini artırıcı etkisine karşın, kadınların iş gücüne katılımında benzer bir artışı sağlamadığını göstermektedir. Dini aidiyetler ve yüksek doğurganlık oranları her iki modelde de kadınların katılımını istatistiksel olarak anlamlı ve olumsuz etkilemektedir. Ticaret açıklığı bazı modellerde pozitif etki göstermiştir.
Sonuç olarak, ekonomik büyüme ve demokratikleşme tek başına toplumsal cinsiyet eşitliğini sağlamaya yetmemektedir. Kültürel normlara yönelik sosyal politikalarla desteklenen çok boyutlu stratejilere ihtiyaç duyulmaktadır.

Kaynakça

  • Ahn, N. & Mira, P. (2002). A note on the changing relationship between fertility and female employment rates in developed countries. Journal of Population Economics, 15(4), 667–682.
  • Andersen, T. B. (2023). Does democracy cause gender equality?. Journal of Institutional Economics, 19(2), 210-228.
  • Armijo, L. E. & Roberts, C. (2014). The emerging powers and global governance: Why the BRICS matter. In Handbook of emerging economies (pp. 503–524). Routledge.
  • Baltagi, H., B. & Chang Y. (1992). Monte Carlo Evidence on Panel Data Regressions with AR (1) Disturbances and an Arbitrary Variance on the Initial Observations. Journal of Econometrics, 52, 371-380.
  • Baltagi, B. H. (2008). Econometric analysis of panel data (4th ed.). Wiley Publishing.
  • 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.
  • Beer, C. (2009). Democracy and gender equality. Studies in Comparative International Development, 44, 212-227.
  • Bloom, D. E., Canning, D., Fink, G. & Finlay, J. E. (2009). Fertility, female labor force participation, and the demographic dividend. Journal of Economic Growth, 14(2), 79–101.
  • Breuer, B., McNown, R. & Wallace, M. (2002). Series Specific Unit Root Test with Panel Data. Oxford Bulletin of Economics and Statistics, 64 (5), 0305-9049.
  • Breusch, T. S. & Pagan, A. R. (1980). "The Langrange Multiplier Test and its Applications to Model Specification in Econometrics". The Review of Economic Studies, 47(1), Econometrics Issue, 239-253.
  • BRICS Women Development Report 2025. Accsess: https://bricswomen.com/wp-content/uploads/2025/07/Brics-Womens-Developmet-Report-2025_EN_v4-0616.pdf
  • Campante, F. R. & Yanagizawa-Drott, D. (2015). Does religion affect economic growth and happiness? Evidence from Ramadan. Quarterly Journal of Economics, 130(2), 615–658.
  • Carrion-i-Silvestre, J. L. (2005). Healthcare Expenditure and GDP: Are They Broken Stationary?. Journal of Health Economics, 24, 839–854.
  • Chatterjee, D. (2016). Gendering BRICS: Studying the Gendered Language of BRICS Declarations. ISA Asia-Pacific Conference, Hong Kong
  • Coelho, D. J. S. S., Diniz, R. S. & Coelho, S. D. O. P. (2019). The situation of women in BRIC countries: A comparative analysis of the (in) effectiveness of public policies for the protection of women and reduction of gender inequality in the four largest emerging economies in the world. UNIO–EU Law Journal, 5(1), 121–141.
  • Cook, S. & Dong, X. Y. (2011). Harsh choices: Chinese women's paid work and unpaid care responsibilities under economic reform. Development and Change, 42(4), 947–965.
  • Cooray, A. & Potrafke, N. (2011). Gender inequality in education: Political institutions or culture and religion? European Journal of Political Economy, 27, 268-280.
  • Davies, A. & Quinlivan, G. (2006). A Panel Data Analysis of the impact of trade on human development. The Journal of Socioeconomics, 35(5), 868-876.
  • Deshpande, A. (2020). The COVID-19 pandemic and lockdown: First effects on gender gaps in employment and domestic work in India (No. 607). GLO Discussion Paper.
  • Dielman, T. E. & Rose, E. L. (1994). Forecasting in Least Absolute Value Regression with Autocorrelated Errors: A Small-Sample Study. International Journal of Forecasting, 10,539-547.
  • Dodoo, F. N. A. (1998). Men matter: additive and interactive gendered preferences and reproductive behavior in Kenya. Demography, 35(2), 229-242.
  • Dollar, D. & Gatti, R. (1999). Gender inequality, income, and growth: Are good times good for women? World Bank Policy Research Report on Gender and Development, Working Paper No. 1.
  • Duflo, E. (2012). Women empowerment and economic development. Journal of Economic Literature, 50(4), 1051–1079.
  • Emara, N. (2016). Fertility and Female Employment: A Panel Study on Developing Countries. Applied Economics and Finance, 3(2), 122-127.
  • Golosov, G. V. (2025). Women’s Representation in Russia: The Public Sector Bias. Problems of Post-Communism, Problems of Post-Communism, 72 (5), 391-400
  • Grogan, L. (2006). An economic examination of the post-transition fertility decline in Russia. Post-Communist Economies, 18(4), 363–397.
  • Grogan, L. (2013). Household formation rules, fertility and female labor supply: Evidence from post-communist countries. Journal of Comparative Economics, 41(4), 1167–1183.
  • Hadri, K. (2000). Testing for stationarity in heterogeneous panel data. The Econometrics Journal, 3(2), 148-161.
  • Hsio, C., Yanan, W. (2006). Panel Data Analysis — Advantages and Challenges. Wise Working Paper Series, WISEWP0602.
  • Hurlin, C., Mignon. V. (2007). Second Generation Panel Unit Root Tests. 2007.Halshs-Archive, No: 00159842
  • Inglehart, R., & Norris, P. (2003). Rising tide: Gender equality and cultural change around the world. Cambridge University Press.
  • Ivıns, C. (2013). Inequality Matters: BRICS Inequalities Fact Sheet. OXFAM BRICS Policy Center.
  • Kabeer, N. (2016). Women’s economic empowerment and inclusive growth: Labor markets and enterprise development. SOAS, University of London.
  • Kizilova, K. & Mosakova, E.A. (2019). The birth Rate in BRICS Countries under the Gender Inequality in the Labor Market. RUDN Journal of Sociology, 19(4), 630—638.
  • Klasen, S. (2002). Low schooling for girls, slower growth for all? Cross-country evidence on the effect of gender inequality in education on economic development. The World Bank Economic Review, 16(3), 345–373.
  • Larionova, M., Popova, I. Sakharov, A., Strigunova, N., Shelepov, A. (2020). Toolkit “Women Economic Empowerment in BRICS: Policies, Achievements, Challenges and Solutions” Access: https://bricsthinktankscouncil.org/wp-content/uploads/2020/02/Toolkit_Women_in_BRICS.pdf
  • McCleary, R. M. & Barro, R. J. (2006). Religion and economy. Journal of Economic perspectives, 20(2), 49-72. Mensch, B. S., Clark, W. H., Lloyd, C. B. & Erulkar, A. S. (2001). Premarital sex, schoolgirl pregnancy, and school quality in rural Kenya. Studies in family planning, 285-301.
  • Mosomi, J. (2019). An empirical analysis of trends in female labor force participation and the gender wage gap in South Africa. Agenda, 33(4), 29–43.
  • Neudorfer, N., S. (2016). Gender and Graft: A Political Economy Argument about the Influence of Working Women on Political Corruption, Journal of Women, Politics & Policy, 37(2), 190-216.
  • Niymbanira, R. N. & Sabela, P. T. (2019). Gender dynamics in employment and labor force trends in South Africa. International Journal of Economics and Finance Studies, 11(2), 36–54.
  • Novta, N. & Wong, J. (2017). Women at Work in Latin America and the Caribbean (IMF Working Paper No. WP/17/34). International Monetary Fund. https://doi.org/10.5089/9781475578928.001
  • Oliveira, V. T. (2025). Power struggles over gender equality in politics: Recent patterns of resistance and change in Brazil. [In press]. https://uu.diva-portal.org/smash/record.jsf?pid=diva2%3A1965019&dswid=7935
  • Onyeke, Q. O. & Ukwueze, E. R. (2022). Trade openness and female labor force participation rate in Nigeria. Journal of Xi’an Shiyou University, 18(3), 433-457.
  • Pandey, M. K. & Sergeeva, I. G. (2022). A research on the role of women in economic development in the BRICS countries. Journal of New Economy, 23(1), 43–65.
  • Perasan, H. (2004) General diagnostic tests for cross-section dependence in panels. IZA Discussion Paper, No:1240.
  • Pesaran, H. (2007). "Simple Panel Unit Root Test in The Presence of Cross-Sectıon Dependence". Journal of Applied Econometrıcs, 22, 265–312.
  • Pesaran, M., Yamagata, T. (2008). Testing Slope Homogeneity in Large Panels. Journal of Econometrics, 2008, 42 (1), 50-93.
  • Plümper, T. & Troeger, V. E. (2004). The Estimation of Time-Invariant Variables in Panel Analyses with Unit Fixed Effects. Available at SSRN: https://ssrn.com/abstract=565904
  • Prais, S. & Winsten, C. (1954). Trend estimators and serial correlation. Cowles Commission Discussion Paper No. 383. Chicago, IL. PraisCowles Commission Discussion Paper.
  • Sajid, S. (2014). Political Economy of Gender Equality: Case Study of Pakistan. International Journal of Gender and Women’s Studies, 2(2), 309-340.
  • Saha, T. & Singh, P. (2025). Political and institutional dynamics of global female labor force participation: Discovering the role of women political participation. Sustainable Development, 33(3), 3791-3817.
  • Saiia (2025). BRICS Gender Forum: Putting women at the centre of development. Access: https://saiia.org.za/research/brics-gender-forum-putting-women-at-the-centre-of-development/
  • Santos, C. & Hilal, A. V. G. D. (2018). Same, same but different? Women’s experiences with gender inequality in Brazil. Employee Relations, 40(3), 486–499.
  • Seguino, S. (2000). Gender inequality and economic growth: A cross-country analysis. World Development, 28(7), 1211–1230.
  • Sezgin, F. H. (2023, April). The relationship between sustainability and gender inequality: Evidence from the BRICS countries. In Proceedings of 16th SCF International Conference on Sustainable Development in a Global Perspective (pp. 111–118).
  • Stephen, L. (1993). Challenging gender inequality: Grassroots organizing among women rural workers in Brazil and Chile. Critique of Anthropology, 13(1), 33–55.
  • Swamy, P. A. (1970). Efficient inference in a random coefficient regression model. Econometrica: Journal of the Econometric Society, 311-323.
  • Sychenko, E., Laruccia, M., Cusciano, D., Korde, R., Nagadia, K., Chikireva, I., Wang, J. & Carrim, N. (2022). Gender discrimination in employment: BRICS countries overview. BRICS Law Journal, 9(2), 30–71.
  • Teorell, J., Dahlberg, S. Holmberg, S., Rothstein, B. Alvarado P., Natalia & Axelsson, S. (2020)., The Quality of Government Standard Dataset, Version Jan20 (2020). University of Gothenburg: The Quality of Government Institute, doi:10.18157/qogstdjan20, Available at SSRN: https://ssrn.com/abstract=3549780
  • Troeger, V. (2020). Time Series Cross-section Analysis in the SAGE Handbook of Research Methods in Political Science and International Relations (Edited: Luigi Cuirini and Robert Franzese). Sage: London.
  • Unterhalter, E. (2005). Global inequality, capabilities, social justice: The Millennium Development Goal for gender equality in education. International Journal of Educational Development, 25(2), 111–122.
  • UN Women (2021). Facts and figures: Ending violence against women. https://www.unwomen.org/en/what-we-do/ending-violence-against-women/facts-and-figures
  • Van Standen, C., Mpungose, L. (2018). BRICS Should Adopt Inclusive Approach to Women. South African Institute of International Affairs, Policy Insights, 63.
  • Weller, J. (2023). Major global trends and their impact on labour inclusion. In Inequalities, labour inclusion and the future of work in Latin America Access. https://repositorio.cepal.org/server/api/core/bitstreams/9f669b43-d3be-49c1-a9b5-9004128030f9/content#page=24(p. 23).
  • World Bank. (2012). World development report 2012: Gender equality and development. The World Bank.
  • WEF (2020). Global gender gap report 2020. http://www3.weforum.org/docs/WEF_GGGR_2020.pdf
  • WEF (2023). Global Gender Gap Report 2023. https://www.weforum.org/reports/global-gender-gap-report-2023
  • WEF (2025). Global Gender Gap Report 2025. Acceess: https://www.weforum.org/publications/global-gender-gap-report-2025/
  • Wooldridge, J. (2001). Econometric Analysis of Cross Section and Panel Data. MIT Press: London
  • Yi, H., Wang, G., & Feng, J. (2024). Gender inequality: Policy responses to employment and education in BRICS countries. African Journal of Reproductive Health, 28(12), 88–96.

The Political Economy of Gender Inequality in BRICS: A Panel Data Analysis

Yıl 2025, Cilt: 8 Sayı: 2, 690 - 718, 30.11.2025
https://doi.org/10.33708/ktc.1739033

Öz

This study examines the political economy of gender inequality in BRICS countries—Brazil, Russia, India, China, and South Africa—between 1990 and 2018 using panel data analysis. Focusing on two key dimensions of gender inequality, namely women’s educational attainment and labor force participation, the study explores how institutional (democracy), cultural (religion), economic (GDP per capita, trade openness), and demographic (fertility) factors shape gender disparities. Employing multiple estimation techniques including Random Effects, Panel Weighted Regression (PWR), and Fixed Effects Vector Decomposition (FEVD), the analysis reveals contrasting dynamics across education and labor force outcomes.
While GDP per capita significantly improves educational attainment, it does not translate into higher female labor participation. Religious affiliations and higher fertility rates exert consistent and negative effects across both models, underscoring the role of cultural and demographic constraints. Trade openness is positively associated with women’s labor market participation in some specifications, suggesting potential benefits from global integration.
The findings highlight that economic growth and institutional development are insufficient in overcoming entrenched gender barriers without targeted social and cultural reforms. The study recommends multidimensional policy strategies that combine inclusive economic policies with social programs aimed at reducing fertility-related constraints and challenging restrictive gender norms.

Kaynakça

  • Ahn, N. & Mira, P. (2002). A note on the changing relationship between fertility and female employment rates in developed countries. Journal of Population Economics, 15(4), 667–682.
  • Andersen, T. B. (2023). Does democracy cause gender equality?. Journal of Institutional Economics, 19(2), 210-228.
  • Armijo, L. E. & Roberts, C. (2014). The emerging powers and global governance: Why the BRICS matter. In Handbook of emerging economies (pp. 503–524). Routledge.
  • Baltagi, H., B. & Chang Y. (1992). Monte Carlo Evidence on Panel Data Regressions with AR (1) Disturbances and an Arbitrary Variance on the Initial Observations. Journal of Econometrics, 52, 371-380.
  • Baltagi, B. H. (2008). Econometric analysis of panel data (4th ed.). Wiley Publishing.
  • 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.
  • Beer, C. (2009). Democracy and gender equality. Studies in Comparative International Development, 44, 212-227.
  • Bloom, D. E., Canning, D., Fink, G. & Finlay, J. E. (2009). Fertility, female labor force participation, and the demographic dividend. Journal of Economic Growth, 14(2), 79–101.
  • Breuer, B., McNown, R. & Wallace, M. (2002). Series Specific Unit Root Test with Panel Data. Oxford Bulletin of Economics and Statistics, 64 (5), 0305-9049.
  • Breusch, T. S. & Pagan, A. R. (1980). "The Langrange Multiplier Test and its Applications to Model Specification in Econometrics". The Review of Economic Studies, 47(1), Econometrics Issue, 239-253.
  • BRICS Women Development Report 2025. Accsess: https://bricswomen.com/wp-content/uploads/2025/07/Brics-Womens-Developmet-Report-2025_EN_v4-0616.pdf
  • Campante, F. R. & Yanagizawa-Drott, D. (2015). Does religion affect economic growth and happiness? Evidence from Ramadan. Quarterly Journal of Economics, 130(2), 615–658.
  • Carrion-i-Silvestre, J. L. (2005). Healthcare Expenditure and GDP: Are They Broken Stationary?. Journal of Health Economics, 24, 839–854.
  • Chatterjee, D. (2016). Gendering BRICS: Studying the Gendered Language of BRICS Declarations. ISA Asia-Pacific Conference, Hong Kong
  • Coelho, D. J. S. S., Diniz, R. S. & Coelho, S. D. O. P. (2019). The situation of women in BRIC countries: A comparative analysis of the (in) effectiveness of public policies for the protection of women and reduction of gender inequality in the four largest emerging economies in the world. UNIO–EU Law Journal, 5(1), 121–141.
  • Cook, S. & Dong, X. Y. (2011). Harsh choices: Chinese women's paid work and unpaid care responsibilities under economic reform. Development and Change, 42(4), 947–965.
  • Cooray, A. & Potrafke, N. (2011). Gender inequality in education: Political institutions or culture and religion? European Journal of Political Economy, 27, 268-280.
  • Davies, A. & Quinlivan, G. (2006). A Panel Data Analysis of the impact of trade on human development. The Journal of Socioeconomics, 35(5), 868-876.
  • Deshpande, A. (2020). The COVID-19 pandemic and lockdown: First effects on gender gaps in employment and domestic work in India (No. 607). GLO Discussion Paper.
  • Dielman, T. E. & Rose, E. L. (1994). Forecasting in Least Absolute Value Regression with Autocorrelated Errors: A Small-Sample Study. International Journal of Forecasting, 10,539-547.
  • Dodoo, F. N. A. (1998). Men matter: additive and interactive gendered preferences and reproductive behavior in Kenya. Demography, 35(2), 229-242.
  • Dollar, D. & Gatti, R. (1999). Gender inequality, income, and growth: Are good times good for women? World Bank Policy Research Report on Gender and Development, Working Paper No. 1.
  • Duflo, E. (2012). Women empowerment and economic development. Journal of Economic Literature, 50(4), 1051–1079.
  • Emara, N. (2016). Fertility and Female Employment: A Panel Study on Developing Countries. Applied Economics and Finance, 3(2), 122-127.
  • Golosov, G. V. (2025). Women’s Representation in Russia: The Public Sector Bias. Problems of Post-Communism, Problems of Post-Communism, 72 (5), 391-400
  • Grogan, L. (2006). An economic examination of the post-transition fertility decline in Russia. Post-Communist Economies, 18(4), 363–397.
  • Grogan, L. (2013). Household formation rules, fertility and female labor supply: Evidence from post-communist countries. Journal of Comparative Economics, 41(4), 1167–1183.
  • Hadri, K. (2000). Testing for stationarity in heterogeneous panel data. The Econometrics Journal, 3(2), 148-161.
  • Hsio, C., Yanan, W. (2006). Panel Data Analysis — Advantages and Challenges. Wise Working Paper Series, WISEWP0602.
  • Hurlin, C., Mignon. V. (2007). Second Generation Panel Unit Root Tests. 2007.Halshs-Archive, No: 00159842
  • Inglehart, R., & Norris, P. (2003). Rising tide: Gender equality and cultural change around the world. Cambridge University Press.
  • Ivıns, C. (2013). Inequality Matters: BRICS Inequalities Fact Sheet. OXFAM BRICS Policy Center.
  • Kabeer, N. (2016). Women’s economic empowerment and inclusive growth: Labor markets and enterprise development. SOAS, University of London.
  • Kizilova, K. & Mosakova, E.A. (2019). The birth Rate in BRICS Countries under the Gender Inequality in the Labor Market. RUDN Journal of Sociology, 19(4), 630—638.
  • Klasen, S. (2002). Low schooling for girls, slower growth for all? Cross-country evidence on the effect of gender inequality in education on economic development. The World Bank Economic Review, 16(3), 345–373.
  • Larionova, M., Popova, I. Sakharov, A., Strigunova, N., Shelepov, A. (2020). Toolkit “Women Economic Empowerment in BRICS: Policies, Achievements, Challenges and Solutions” Access: https://bricsthinktankscouncil.org/wp-content/uploads/2020/02/Toolkit_Women_in_BRICS.pdf
  • McCleary, R. M. & Barro, R. J. (2006). Religion and economy. Journal of Economic perspectives, 20(2), 49-72. Mensch, B. S., Clark, W. H., Lloyd, C. B. & Erulkar, A. S. (2001). Premarital sex, schoolgirl pregnancy, and school quality in rural Kenya. Studies in family planning, 285-301.
  • Mosomi, J. (2019). An empirical analysis of trends in female labor force participation and the gender wage gap in South Africa. Agenda, 33(4), 29–43.
  • Neudorfer, N., S. (2016). Gender and Graft: A Political Economy Argument about the Influence of Working Women on Political Corruption, Journal of Women, Politics & Policy, 37(2), 190-216.
  • Niymbanira, R. N. & Sabela, P. T. (2019). Gender dynamics in employment and labor force trends in South Africa. International Journal of Economics and Finance Studies, 11(2), 36–54.
  • Novta, N. & Wong, J. (2017). Women at Work in Latin America and the Caribbean (IMF Working Paper No. WP/17/34). International Monetary Fund. https://doi.org/10.5089/9781475578928.001
  • Oliveira, V. T. (2025). Power struggles over gender equality in politics: Recent patterns of resistance and change in Brazil. [In press]. https://uu.diva-portal.org/smash/record.jsf?pid=diva2%3A1965019&dswid=7935
  • Onyeke, Q. O. & Ukwueze, E. R. (2022). Trade openness and female labor force participation rate in Nigeria. Journal of Xi’an Shiyou University, 18(3), 433-457.
  • Pandey, M. K. & Sergeeva, I. G. (2022). A research on the role of women in economic development in the BRICS countries. Journal of New Economy, 23(1), 43–65.
  • Perasan, H. (2004) General diagnostic tests for cross-section dependence in panels. IZA Discussion Paper, No:1240.
  • Pesaran, H. (2007). "Simple Panel Unit Root Test in The Presence of Cross-Sectıon Dependence". Journal of Applied Econometrıcs, 22, 265–312.
  • Pesaran, M., Yamagata, T. (2008). Testing Slope Homogeneity in Large Panels. Journal of Econometrics, 2008, 42 (1), 50-93.
  • Plümper, T. & Troeger, V. E. (2004). The Estimation of Time-Invariant Variables in Panel Analyses with Unit Fixed Effects. Available at SSRN: https://ssrn.com/abstract=565904
  • Prais, S. & Winsten, C. (1954). Trend estimators and serial correlation. Cowles Commission Discussion Paper No. 383. Chicago, IL. PraisCowles Commission Discussion Paper.
  • Sajid, S. (2014). Political Economy of Gender Equality: Case Study of Pakistan. International Journal of Gender and Women’s Studies, 2(2), 309-340.
  • Saha, T. & Singh, P. (2025). Political and institutional dynamics of global female labor force participation: Discovering the role of women political participation. Sustainable Development, 33(3), 3791-3817.
  • Saiia (2025). BRICS Gender Forum: Putting women at the centre of development. Access: https://saiia.org.za/research/brics-gender-forum-putting-women-at-the-centre-of-development/
  • Santos, C. & Hilal, A. V. G. D. (2018). Same, same but different? Women’s experiences with gender inequality in Brazil. Employee Relations, 40(3), 486–499.
  • Seguino, S. (2000). Gender inequality and economic growth: A cross-country analysis. World Development, 28(7), 1211–1230.
  • Sezgin, F. H. (2023, April). The relationship between sustainability and gender inequality: Evidence from the BRICS countries. In Proceedings of 16th SCF International Conference on Sustainable Development in a Global Perspective (pp. 111–118).
  • Stephen, L. (1993). Challenging gender inequality: Grassroots organizing among women rural workers in Brazil and Chile. Critique of Anthropology, 13(1), 33–55.
  • Swamy, P. A. (1970). Efficient inference in a random coefficient regression model. Econometrica: Journal of the Econometric Society, 311-323.
  • Sychenko, E., Laruccia, M., Cusciano, D., Korde, R., Nagadia, K., Chikireva, I., Wang, J. & Carrim, N. (2022). Gender discrimination in employment: BRICS countries overview. BRICS Law Journal, 9(2), 30–71.
  • Teorell, J., Dahlberg, S. Holmberg, S., Rothstein, B. Alvarado P., Natalia & Axelsson, S. (2020)., The Quality of Government Standard Dataset, Version Jan20 (2020). University of Gothenburg: The Quality of Government Institute, doi:10.18157/qogstdjan20, Available at SSRN: https://ssrn.com/abstract=3549780
  • Troeger, V. (2020). Time Series Cross-section Analysis in the SAGE Handbook of Research Methods in Political Science and International Relations (Edited: Luigi Cuirini and Robert Franzese). Sage: London.
  • Unterhalter, E. (2005). Global inequality, capabilities, social justice: The Millennium Development Goal for gender equality in education. International Journal of Educational Development, 25(2), 111–122.
  • UN Women (2021). Facts and figures: Ending violence against women. https://www.unwomen.org/en/what-we-do/ending-violence-against-women/facts-and-figures
  • Van Standen, C., Mpungose, L. (2018). BRICS Should Adopt Inclusive Approach to Women. South African Institute of International Affairs, Policy Insights, 63.
  • Weller, J. (2023). Major global trends and their impact on labour inclusion. In Inequalities, labour inclusion and the future of work in Latin America Access. https://repositorio.cepal.org/server/api/core/bitstreams/9f669b43-d3be-49c1-a9b5-9004128030f9/content#page=24(p. 23).
  • World Bank. (2012). World development report 2012: Gender equality and development. The World Bank.
  • WEF (2020). Global gender gap report 2020. http://www3.weforum.org/docs/WEF_GGGR_2020.pdf
  • WEF (2023). Global Gender Gap Report 2023. https://www.weforum.org/reports/global-gender-gap-report-2023
  • WEF (2025). Global Gender Gap Report 2025. Acceess: https://www.weforum.org/publications/global-gender-gap-report-2025/
  • Wooldridge, J. (2001). Econometric Analysis of Cross Section and Panel Data. MIT Press: London
  • Yi, H., Wang, G., & Feng, J. (2024). Gender inequality: Policy responses to employment and education in BRICS countries. African Journal of Reproductive Health, 28(12), 88–96.
Toplam 70 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Kadın Araştırmaları
Bölüm Araştırma Makalesi
Yazarlar

Pınar Çuhadar 0000-0001-6302-7735

Reyhan Cafrı 0000-0002-6271-5330

Gönderilme Tarihi 10 Temmuz 2025
Kabul Tarihi 13 Ekim 2025
Erken Görünüm Tarihi 30 Kasım 2025
Yayımlanma Tarihi 30 Kasım 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 8 Sayı: 2

Kaynak Göster

APA Çuhadar, P., & Cafrı, R. (2025). The Political Economy of Gender Inequality in BRICS: A Panel Data Analysis. Akdeniz Kadın Çalışmaları ve Toplumsal Cinsiyet Dergisi, 8(2), 690-718. https://doi.org/10.33708/ktc.1739033

Dergide yayımlanan tüm çalışmalar, kamu ve tüzel kişilerce, gerekli atıflar verilmek koşuluyla kullanıma açık olup dergide yayımlanmış çalışmaların tüm sorumluluğu yazarlarına aittir.