DEMOGRAPHIC AND SOCIO-ECONOMIC DETERMINANTS OF WOMEN EMPLOYMENT IN BANGLADESH

  • Md Enamul Haque Department of Statistics, Mawlana Bhashani Science and Technology University, Tangail, Bangladesh
  • Dhaneswar Chandro Sarkar Department of Statistics, Mawlana Bhashani Science and Technology University, Tangail, Bangladesh
Keywords: Women Empowerment, BDHS, Occupations, Employment, Agriculture, Professional, Education, Wealth

Abstract

The purpose of the present study is to examine the major factors related to the participation of women in the economic activities of Bangladesh, using the data of the nationally representative provided by the Bangladesh Demographic and Health Survey (BDHS) 2017/18. The survey interviewed a total of 20127 women aged 15-49 on social, economic, and demographic factors. The study used women's occupations as the dependent variable to understand the patterns and dynamics of women's participation in economic activities in Bangladesh. The result shows that 49.6% of women didn’t associate with any work, 7.9% of women worked as a professional, technical or managerial specialist, and 42.5% of women worked as non-professional, such as: in agriculture, and domestic-related work. Two policy implications emerged from the study: 1) The economic activity of women in Bangladesh is still low, most of them earn their livelihood utilizing non-professional works; 2) Women who are relatively from poorer families, not very well educated, located in the rural area are largely seen in economic activities in Bangladesh. Finally, the study indicates an idea about important determinants of women's employment, as poor women with little formal education remain economically active. The study recommends that women must be provided with new skills and knowledge to expand their ability and the education of women must be given the highest priority, which is the fundamental problem.

References

Basu, A., Ghosh, A., Mandal, A., Martin, N., & Pardo, L. (2017). A Wald-type test statistic for testing linear hypothesis in logistic regression models based on minimum density power divergence estimator. Electronic Journal of Statistics, 11. https://doi.org/10.1214/17-EJS1295

Biswas, T., & Kabir, M. (2002). Women’s Empowerment and Current use of Contraception in Bangladesh. Asia-Pacific Journal of Rural Development, 12, 1–13. https://doi.org/10.1177/1018529120020201

Dijkstra, A. G., & Hanmer, L. C. (2000). Measuring socio-economic gender inequality: Toward an alternative to the UNDP gender-related development index. Feminist Economics, 6(2), 41–75. https://doi.org/10.1080/13545700050076106

Gender Gap Statistics of Bangladesh (2018). Reproduction, Documentation & Publication (RDP) Section, Bangladesh Bureau of Statistics (BBS)

Geske Dijkstra, A. (2002). Revisiting UNDP’s GDI and GEM: Towards an alternative. Social Indicators Research, 57(3), 301–338.

Geske Dijkstra, A. (2006). Towards a Fresh Start in Measuring Gender Equality: A Contribution to the Debate. Journal of Human Development, 7(2), 275–283. https://doi.org/10.1080/14649880600768660

Islam, M. S. (2014). Women’s Empowerment in Bangladesh: A Case Study of Two NGOs. SSRN Electronic Journal, January 2014. https://doi.org/10.2139/ssrn.2502890

Khan, H., & Kabir, M. A. (2014). Women’s Participation in Economic Activities in Bangladesh. Local Economy, February.

Khan, J. (2020). WOMEN EMPOWERMENT AND EMPLOYMENT GENDER STUDIES BACKGROUND Submitted To: DR. AMBER FERDOOS Submitted By: MS Sociology Department of Sociology Faculty of Social Sciences International Islamic University Islamabad. February.

Menon, S. (2015). UN Women. Choice Reviews Online, 52(10), 52-5120-52–5120. https://doi.org/10.5860/choice.190794

Nayak, P., & Mahanta, B. (2011). Women Empowerment in India. SSRN Electronic Journal, February. https://doi.org/10.2139/ssrn.1320071

Panda, P., & Agarwal, B. (2005). Marital violence, human development and women’s property status in India. World Development, 33(5), 823–850. https://doi.org/10.1016/j.worlddev.2005.01.009

Ugoni, A., & Walker, B. (1995). The Chi square test: an introduction. COMSIG Review / COMSIG, Chiropractors and Osteopaths Musculo-Skeletal Interest Group, 4, 61–64.

World Economic Forum. (2018). The Global Competitiveness Index Report 2017. In World Economic Forum (WEF). http://ci.nii.ac.jp/naid/110008131965/

World Trade Organization. (2013). World Trade Organization Report: Factors shaping the future of world trade. World Trade Organization, 1–335.

Views:

413

Downloads:

222

Published
2021-09-15
Citations
How to Cite
Md Enamul Haque, & Dhaneswar Chandro Sarkar. (2021). DEMOGRAPHIC AND SOCIO-ECONOMIC DETERMINANTS OF WOMEN EMPLOYMENT IN BANGLADESH. International Journal of Innovative Technologies in Economy, (3(35). https://doi.org/10.31435/rsglobal_ijite/30092021/7662