Analysis of the Relationship between Women’s Participation and the Rate of Corruption in the Post-Soviet States

Author:

Baktybayev Bektas

Abstract

Corruption remains one of the main problems of Post-Soviet states. Georgia, Belarus, Lithuania, and Latvia are doing relatively well compared to other Post-Soviet states. Popular explanations for high corruption rates are underdevelopment of democratic institutions and the limitation of human rights. However, the lack of women’s participation can be also another factor that could explain the widespread corruption level. According to popular stereotypes, women are considered as more honest and “fairer” gender, which has an impact on the decrease in corruption rate. There is a belief that women have a perception of risk aversion which makes them less likely to engage in corrupt activities. There is no consensus regarding whether women’s participation has an effect on reducing corruption. The purpose of this paper is to test to what extent women’s participation in parliament, school and or with tertiary education, labor force affects corruption rate in Post-Soviet states. The SPSS software was used to assess a relationship between aforementioned variables. According to findings, there is a strong, positive, and statistically significant impact of women enrollment in school and/or with tertiary education on a country’s score in the Corruption Perception Index. I argue that promoting women’s education is the best way to lower corruption in the post-Soviet states.

Publisher

Pusat Penelitian Ilmu Sosial dan Humaniora Kontemporer

Subject

General Medicine,General Chemistry

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3