The Dynamics of Women’s Labor in Developing Countries: Effects of Economic Growth, Digitalization and Institutional Factors

Yıl 2025, Cilt: 8 Sayı: 2, 603 - 630, 30.11.2025

Kübra Gül

https://doi.org/10.33708/ktc.1734979

Öz

Çalışmada kadınların iş gücüne katılımı ile sosyoekonomik, kurumsal faktörler ve dijitalleşme arasındaki ilişki incelenmiştir. Gelişmekte olan 28 ülkede 1997-2022 dönemi verilerini kullanarak değişkenler arasındaki ilişki sabit etkili panel tahmin yöntemi ve Dumitrescu-Hurlin (2012) nedensellik testi ile analiz edilmiştir. Analiz bulguları düşük kantillerde kadınların iş gücüne katılımı ile ekonomik büyüme arasında pozitif yönlü ancak istatiksel olarak anlamsız ilişki olduğunu göstermiştir. Buna karşın enflasyonun düşük kantillerde kadınların iş gücüne katılımı üzerindeki etkisi istatistiki olarak anlamsızken, orta ve yüksek kantillerde negatif bulunmuştur. Modelde yer alan brüt sabit sermaye birikiminin kadınların iş gücüne katılımı üzerindeki etkisi pozitif olmasına karşın, çok yüksek kantillerde istatistiki açıdan anlamsızlaşmıştır. Ayrıca tüm kantil düzeylerinde internet kullanımının, parlamentodaki kadın sayısının ve kentleşmenin kadınların iş gücüne katılımı üzerindeki etkisi pozitif olarak tespit edilmiştir. Dumitrescu-Hurlin (2012) nedensellik sonuçları ise ekonomik büyüme, enflasyon, internet kullanımı, kentleşme ve parlamentodaki kadın sayısı ile kadın işgücü arasında çift yönlü bir nedensellik olduğunu ortaya koymuştur. Bununla birlikte, bulgular kadın işgücü ile brüt sabit sermaye birikimi arasında tek yönlü bir nedensellik olduğunu göstermiştir.

Anahtar Kelimeler

Female labor force rate , socioeconomic , institutional factors , digitalization , panel data analysis

The Dynamics of Women’s Labor in Developing Countries: Effects of Economic Growth, Digitalization and Institutional Factors

Öz

This study inquired into how socioeconomic, institutional, and digitalization factors relate to women's participation in the labor force. Using data gathered from 28 developing nations between 1997 and 2022, Dumitrescu-Hurlin (2012) causality test and the fixed effect panel estimate method were employed to examine the relationship between the variables. The analysis results certified that, at low quantiles, women's labor force participation and economic growth uphold a positive but statistically insignificant relationship. In the opposite direction, it was discovered that the impact of inflation on women’s participation in labor force is negative at medium and high quantiles while it is statistically insignificant at low quantiles. Despite being proven to exert a positive influence on the participation of women in the labor force, the model's gross fixed capital accumulation has been determined to be statistically insignificant at very high quantiles. At every quantile degree, it was also detected that the number of women in parliament, the internet use, and urbanization all had a positive impact on women’s participation in labor force. Dumitrescu-Hurlin (2012), on the other side, manifested that there was a bidirectional causality between economic growth, inflation, internet usage, urbanization, the number of women in parliament, and the female labor force. Nonetheless, the findings indicated that there was a unidirectional causal relationship between female labor force and gross fixed capital accumulation.

Anahtar Kelimeler

female labor force rate , socioeconomic , institutional factors , digitalization , panel data analysis

Kaynakça

• Acar Savran, G., & Demiryotan Tura, N. (2008). Kadının görünmeyen emeği. İstanbul: Yordam Kitap.
• Altuzarra, A., Gálvez-Gálvez, C., & González-Flores, A. (2019). Economic development and female labour force participation: The case of European Union countries. Sustainability, 11(7), 1-18. https://doi.org/10.3390/su11071962
• Aydınbaş, G., & Ünlüoğlu, M. (2022). Yapısal kırılma durumunda kadınların işgücüne katılımındaki belirleyiciler üzerine bir zaman serisi analizi. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi, (74), 1-21. https://doi.org/10.51290/dpusbe.1030171
• Aziz, N., Nisar, Q. A., Koondhar, M. A., Meo, M. S., & Rong, K. (2020). Analyzing the women’s empowerment and food security nexus in rural areas of Azad Jammu & Kashmir, Pakistan: By giving consideration to sense of land entitlement and infrastructural facilities. Land Use Policy, 94, 104529,1-8. https://doi.org/10.1016/j.landusepol.2020.104529
• Bawazir, A. A., Osman, A. F., & Aslam, M. (2022). Factors affecting female labor force participation in the Middle East: An empirical evidence from panel data approach. The Journal of Developing Areas, 56(1), 59-72. https://doi.org/10.1353/jda.2022.0010
• Bersvendsen, T., & Ditzen, J. (2021). Testing for slope heterogeneity in Stata. The Stata Journal, 21(1), 51-80. DOI: 10.1177/1536867X211000004
• Besamusca, J.T., Keune, M., & Steinmetz, S.(2015). Working women worldwide. Age effect in female labor force partipation in 117 countries. World Development, 74, 123-141. https://doi.org/10.1016/j.worlddev.2015.04.015
• Blomquist, J., & Westerlund, J. (2013). Testing slope homogeneity in large panels with serial correlation. Economics Letters 121(3): 374–378. https://doi.org/10.1016/j.econlet.2013.09.012
• Bulloch, A., Kroeck, G., Kundu, S., Newhouse, W. & Lowe, K. B. (2012). Women's political leadership participation around the world: An institutional analysis. The Leadership Quarterly, 23(3), 398-411.
• Bussolo, M., Ezebuihe, J. A., Muñoz Boudet, A. M., Poupakis, S., Rahman, T., & Sarma, N. (2024). Social norms and gender disparities with a focus on female labor force participation in South Asia. The World Bank Research Observer, 39(1), 124-158. https://doi.org/10.1093/wbro/lkad010?
• Chen, P., Karavias, Y., & Tzavalis, E. (2022). Panel unit root tests with structural breaks. The Stata Journal, 22(3), 664-678. https://doi.org/10.1177/1536867X221124541
• Cheng, C., Ren, X., Wang, Z., & Yan, C. (2019). Heterogeneous impacts of renewable energy and environmental patents on CO2 emission-Evidence from the BRIICS. Science of the Total Environment, 668, 1328-1338. DOI: 10.1016/j.scitotenv.2019.02.063
• Dumitrescu, E. I., & Hurlin, C. (2012). Testing for Granger non-causality in heterogeneous panels. Economic Modelling, 29(4), 1450-1460. https://doi.org/10.1016/j.econmod.2012.02.014
• Dücan, E., & Polat, M. A. (2017). Kadın istihdamının ekonomik büyümeye etkisi: OECD ülkeleri için panel veri analizi. Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 26(1), 155-170.
• Elneel, F. A., & Almulhim, A. F. (2024). Socio-economic factors and women’s empowerment: the mediation role of training/skill development. WSEAS Transactions on Business and Economics, 21, 192-201. DOI: 10.37394/23207.2024.21.17
• Fatima, A., & Sultana, H. (2009). Tracing out the U‐shape relationship between female labor force participation rate and economic development for Pakistan. International Journal of Social Economics, 36(1/2), 182-198. https://doi.org/10.1108/03068290910921253
• Heywood, L. (2012). Third-wave feminism, the global economy, and women's surfing: sport as stealth feminism in girls' surf culture. In Next wave cultures. Routledge.
• Hosney, S. H. (2016). Factors influencing female labor force participation in Egypt and Germany:a comparative study (SOEPpapers on Multidisciplinary Panel Data Research No. 286). Erişim adresi: https://www.econstor.eu/bitstream/10419/130586/1/856920835.pdf.
• International Labour Organization (ILO). (2024). Labour force participation rate by sex and age – ILO modelled estimates. ILOSTAT. https://rshiny.ilo.org/dataexplorer52/?lang=en&segment=indicator&id=EAP_2WAP_SEX_AGE_RT_A
• Izgı, B. B., & Suna, B. (2024). Reading The Literature on female labor force participation rates with content analysis. In Traders International Trade Academic Journal, 7(1), 14-27. https://doi.org/10.55065/intraders.1499108
• Karavias, Y.; Tzavalis, E. (2014), Testing for unit roots in short panels allowing for a structural break. Computational Statistics and Data Analysis, 76, 391–407. https://doi.org/10.1016/j.csda.2012.10.014
• Khan, M.Z., Said, R., & Amjad, S. (2024). Relationship between labor force participation and unemployment in Pakistan. Economics Bulletin, 44(1), 264-272.
• Koenker, R. (2004). Quantile regression for longitudinal data. Journal of Multivariate Analysis, 91(1), 74-89. https://doi.org/10.1016/j.jmva.2004.05.006
• Koenker, R., & Hallock, K. F. (2001). Quantile regression. Journal of economic perspectives, 15(4), 143-156. DOI: 10.1257/jep.15.4.143
• Kuokštis, V., Asali, M., & Spurga, S. A. (2024). Exchange rates and economic growth during the global business cycle: The Role of Labor Market Institutions (No. 17590). Institute of Labor Economics (IZA).1-17.
• Kusumawardhani, N., Pramana, R., Saputri, N. S., & Suryadarma, D. (2023). Heterogeneous impact of internet availability on female labor market outcomes in an emerging economy: Evidence from Indonesia. World Development, 164, 106182, 1-19. https://doi.org/10.1016/j.worlddev.2022.106182
• Li, X., An, L., Zhang, D., Lee, C. C., & Yu, C. H. (2024). Energy access and female labor force participation in developing countries. Renewable and Sustainable Energy Reviews, 199, 114468. https://doi.org/10.1016/j.rser.2024.114468
• Liu, S., & Marois, G. (2024). The effect of motherhood on the labour force participation of married women in China. Asian Population Studies, 20(1), 104-120. https://doi.org/10.1080/17441730.2023.2193518
• Liyanage, R. D. (2021). Impact of ınflation on labour productivity in Sri Lanka. International Journal of Economic Behavior and Organization, 9(3), 57-70. https://doi.org/10.11648/j.ijebo.20210903.13
• Marjanović, I., Popović, Ž., & Milanović, S. (2024). Determinants of female labour force participation: panel data analysis. Central European Business Review, 13(2), 69-88. https://doi.org/10.18267/j.cebr.348?
• Nazah, N., Duasa, J., & Arifin, M. I. (2021). Fertility and female labor force participation in Asian countries; panel ARDL approach. Jurnal Ekonomi & Studi Pembangunan, 22(2), 272-288. https://doi.org/10.18196/jesp.v22i2.11142
• Nieuwenhuis, R., Van Lancker, W., Collado, D., & Cantillon, B. (2020). Trends in women’s employment and poverty rates in OECD countries: A Kitagawa–Blinder–Oaxaca decomposition. Italian Economic Journal, 6(1), 37-61. https://doi.org/10.1007/s40797-019-00115-x
• Nijag Gladys,C., & sundjo, F. (2018). Determinants of female labour force participation in Cameroon. International Journal of Applied Economics, Finance and Accounting, 3(2), 88-103. DOI: 10.33094/8.2017.2018.32.88.103
• Nikulin, D. (2017). The impact of ICTs on women’s economic empowerment. Catalyzing development through ICT adoption: the developing world experience, 13, 15-24.
• Omran, E. A. M., & Bilan, Y. (2022). Female labour force participation and the economic development in Egypt. European Journal of Interdisciplinary Studies. 14(1), 1-12. http://doi.org/10.24818/ejis.2022.01
• Pesaran, M.H., & Yamagata, T. (2008). Testing slope homogeneity in large panels. Journal of econometrics, 142, 50-93. https://doi.org/10.1016/j.jeconom.2007.05.010.
• Rahmawan, F. A. N., & Aisyah, S. (2024). Examining determinants of women’s labor participation rate in developing Asian countries. Journal of Enterprise and Development (JED), 6(1), 259-269. https://doi.org/10.20414/jed.v6i1.9542
• Sancar Özkök, C., & Atay Polat, M. (2020). Ekonomik büyüme, enflasyon ve kentleşmenin kadınların işgücüne katılımına etkileri: Türkiye üzerine bir uygulama. Global Journal of Economics and Business Studies, 9(17), 63-76.
• Sari, R. M., & Aisyah, S. (2024). Exploring the Impact of literacy rate, health, and women's empowerment on women’s labor participation rate in OIC member countries. Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE), 7(1), 1278-1291. https://doi.org/10.31538/iijse.v7i1.4618
• Sasongko, G., Huruta, B. E., & Huruta, A. D. (2020). Female labor force participation rate in Indonesia: an empirical evidence from panel data approach. Management and Economics Review, 5(1), 147-159. http://dx.doi.org/10.24818/mer/2020.06-12
• Savrul, B. K., & Hazar, D. (2020). Türkiye'de doğrudan yabancı sermaye yatırımlarının kadın istihdamına etkisine dair ekonometrik analiz. Eurasian Academy of Sciences Social Sciences Journal, 30,1-20. http://doi.org/10.17740/eas.soc.2020.V30-01
• Sharma, E. (2020). Women and politics: A case study of political empowerment of Indian women. International Journal of Sociology and Social Policy, 40(7/8), 607-626. https://doi.org/10.1108/IJSSP-12-2019-0261
• Shittu, W. O., & Abdullah, N. (2019). Fertility, education, and female labour participation: Dynamic panel analysis of ASEAN-7 countries. International Journal of Social Economics, 46(1), 66-82. DOI: 10.1108/IJSE-11-2017-0559
• 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), 1-9. https://doi.org/10.1057/s41599-023-02020-2
• Tasseven, O. (2017). The relationship between economic development and female labor force participation rate: a panel data analysis. Global Financial Crisis and Its Ramifications on Capital Markets: Opportunities and Threats in Volatile Economic Conditions, 555-568.
• Tatoğlu, F.Y. (2017). Panel Zaman Serileri Analizi Stata Uygulamalı, İstanbul:Beta Yayınları.
• Usman, O., & Sanusi, A. (2016). Education and labor force participation of women in North Cyprus: Evidence from binomial logit regression model. Munich Personal RePEc Archive (MPRA), Paper No. 77140, 1-19. https://mpra.ub.uni-muenchen.de/77140/
• Verick, S. (2018). Female labor force participation and development. IZA World of Labor. 1-11.
• Viollaz M., & Winkler, H. (2022). Does the Internet reduce gender gaps? The case of Jordan. The Journal of Development Studies, 58(3), 436–453. https://doi.org/10.1080/00220388.2021.1965127
• 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), 1-14. https://doi.org/10.3390/systems11020097
• Wınkler, A. E. (2016). Women’s Labor Force Participation: Family-Friendly Policies Increase Women’s Labor Force Participation. IZA World of Labor Evidence-Based Policy Making, 289, 1-11.
• World Bank (2025). World development indicators. https://databank.worldbank.org/source/world-development-indicators