Research Article
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Year 2022, Volume: 30 Issue: 4, 820 - 830, 28.10.2022
https://doi.org/10.24106/kefdergi.1195586

Abstract

References

  • Albayrak, A. S. (2005). Çoklu doğrusal bağlantı halinde enküçük kareler tekniğinin alternatifi yanlı tahmin teknikleri ve bir uygulama. ZKÜ Sosyal Bilimler Dergisi. 1 (1), 105–126.
  • Berber, M. (2015). İktisadi Büyüme ve Kalkınma. 5. Baskı, Derya Kitabevi: Trabzon.
  • Demirbilek, S. (2007), Cinsiyet ayırımcılığının sosyolojik açıdan incelenmesi. Finans Politik & Ekonomik Yorumlar. 44 (511), 12-27.
  • 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 Series, No. 1, http://darp.lse.ac.uk/frankweb/courses/EC501/DG.pdf, Date: 23.10.2021.

The Impact of Economic Indicators on Education Level of Women in Developing Countries

Year 2022, Volume: 30 Issue: 4, 820 - 830, 28.10.2022
https://doi.org/10.24106/kefdergi.1195586

Abstract

Purpose: In the context of developing countries, it is to test the effect of economic factors such as per capita income, poverty level and income distribution unfairness on the education level of women.
Methodology: In the study; cross-section analysis was performed by establishing a multiple regression model within the context of 82 developing countries included in the United Nations Development Program (UNDP) 2019 Human Development Report. While the dependent variable in the model is the proportion of women population aged 25 and over with at least secondary education (%), the independent variables are composed of economic variables such as the multidimensional poverty index, the inequality in income (%) and the gross national income per capita. The data are taken from UNDP's Human Development Report 2019.
Findings: As expected as a result of the cross-section analysis, it was determined that as the income distribution unfairness and poverty increased, the proportion of women population aged 25 and over with at least secondary education (%) decreased, but as the level of gross national income per capita raised, the proportion of women population aged 25 and over with at least secondary education (%) also increased.
Highlights: In developing countries, if the income distribution injustice and poverty are effectively tackled, gender inequality in education can be reduced more easily.

References

  • Albayrak, A. S. (2005). Çoklu doğrusal bağlantı halinde enküçük kareler tekniğinin alternatifi yanlı tahmin teknikleri ve bir uygulama. ZKÜ Sosyal Bilimler Dergisi. 1 (1), 105–126.
  • Berber, M. (2015). İktisadi Büyüme ve Kalkınma. 5. Baskı, Derya Kitabevi: Trabzon.
  • Demirbilek, S. (2007), Cinsiyet ayırımcılığının sosyolojik açıdan incelenmesi. Finans Politik & Ekonomik Yorumlar. 44 (511), 12-27.
  • 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 Series, No. 1, http://darp.lse.ac.uk/frankweb/courses/EC501/DG.pdf, Date: 23.10.2021.
There are 4 citations in total.

Details

Primary Language English
Subjects Studies on Education
Journal Section Research Article
Authors

Orhan Kandemir This is me

Publication Date October 28, 2022
Acceptance Date February 3, 2022
Published in Issue Year 2022 Volume: 30 Issue: 4

Cite

APA Kandemir, O. (2022). The Impact of Economic Indicators on Education Level of Women in Developing Countries. Kastamonu Education Journal, 30(4), 820-830. https://doi.org/10.24106/kefdergi.1195586

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