4.7 Article

Decomposition of gender bias in enterprise employment: Insights from Vietnam

期刊

ECONOMIC ANALYSIS AND POLICY
卷 70, 期 -, 页码 182-194

出版社

ELSEVIER
DOI: 10.1016/j.eap.2021.02.007

关键词

Gender bias; Decomposition; Female participation; Enterprise employment; Vietnam

资金

  1. University of Economics Ho Chi Minh City, Vietnam

向作者/读者索取更多资源

This study investigates the determinants of female participation in Vietnamese enterprises from 2011 to 2015, finding that factors such as export activity, human capital investment, industry characteristics have positive effects on female participation, while labor remuneration and capital per worker show a negative correlation. Gender discrimination explains a significant portion of the difference in female workers' proportion.
While female participation in the labor market is crucial for women's empowerment, studies focusing on gender bias in enterprise employment are limited. The present study investigates the determinants of female participation in Vietnamese enterprises from 2011 to 2015. The Feasible Generalized Least Squares (FGLS) method was used to analyze data from a survey of Vietnamese micro-, small-, and medium-sized enterprises. The study also conducted the Oaxaca-Blinder decomposition to assess the degree of discriminatory treatment existing in firms in the male-intensive sector compared with that in the female-intensive sector. The results indicate that export activity, human capital investment, industry characteristics, length of operation, firm size, gender, and business owners' social capital have positive effects on female participation in enterprises. Contrarily, labor remuneration and the level of capital per worker show a negative correlation. Gender discrimination explains 26.11% of the number of female employees and 87.78% of the difference in female workers' proportion. (C) 2021 Economic Society of Australia, Queensland. Published by Elsevier B.V. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据