Sadia Mahwish, Furrukh Bashir, Faisal Azeem Abbassi, Shahbaz Ali Khan
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The labor force participation rate (LFPRF) was employed as a proxy for women empowerment and is treated as dependent variable. Governance and Financial Inclusion were examined as independent variables, with domestic credit to the private sector (DC) representing financial inclusion and governance stability (GS) acting as a proxy for governance. Gross capital formation (GCF) and gross domestic product per capita (GDPPC) were included as control variables. Ordinary Least Squares (OLS), FE, and RE regression models were considered appropriate after applying pre diagnostic tests. The study also employed Arellano Bond model for robustness. The Results indicated that 1 % increase in DC increased LFPRF by 1.05%,16%, and 0.16% in OLS, FE, RE respectively. Similarly, 1 % increase in GS increases LFPRF by 2.49% in OLS model and by 0.13% in both FE and RE model. The study also discussed the strategies to promote women empowerment through planned interventions in financial inclusion and governance.","PeriodicalId":503144,"journal":{"name":"iRASD Journal of Economics","volume":"33 14","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Empowering Women through Financial Inclusion and Governance: Evidence from 30 Developing Economies\",\"authors\":\"Sadia Mahwish, Furrukh Bashir, Faisal Azeem Abbassi, Shahbaz Ali Khan\",\"doi\":\"10.52131/joe.2024.0601.0196\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Gender equality is rooted in the capacity of individuals to independently make decisions regarding their social, political, and economic well-being. Unfortunately, women encounter diminished opportunities for engagement in these spheres, particularly evident in developing economies. 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Ordinary Least Squares (OLS), FE, and RE regression models were considered appropriate after applying pre diagnostic tests. The study also employed Arellano Bond model for robustness. The Results indicated that 1 % increase in DC increased LFPRF by 1.05%,16%, and 0.16% in OLS, FE, RE respectively. Similarly, 1 % increase in GS increases LFPRF by 2.49% in OLS model and by 0.13% in both FE and RE model. 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引用次数: 0
摘要
性别平等植根于个人就其社会、政治和经济福祉独立做出决定的能力。遗憾的是,妇女参与这些领域的机会越来越少,这在发展中经济体尤为明显。联合国可持续发展目标将性别平等作为框架中的第五个目标。本研究旨在通过调查治理对普惠金融领域的调节作用,阐明赋予妇女权力的途径。数据来源于世界发展指标(WDI)和国际国家风险指南(ICRG)。劳动力参与率(LFPRF)被用作妇女赋权的替代变量,并被视为因变量。治理和金融包容性作为自变量进行研究,私营部门国内信贷(DC)代表金融包容性,治理稳定性(GS)则代表治理。资本形成总额(GCF)和人均国内生产总值(GDPPC)被列为控制变量。在应用预诊断测试后,普通最小二乘法(OLS)、FE 和 RE 回归模型被认为是合适的。为了稳健起见,研究还采用了 Arellano Bond 模型。结果表明,在 OLS、FE 和 RE 模型中,DC 增加 1%,LFPRF 分别增加 1.05%、16% 和 0.16%。同样,在 OLS 模型中,GS 增加 1%,LFPRF 增加 2.49%;在 FE 和 RE 模型中,GS 增加 1%,LFPRF 增加 0.13%。该研究还讨论了通过有计划地干预金融普惠和治理来促进妇女赋权的战略。
Empowering Women through Financial Inclusion and Governance: Evidence from 30 Developing Economies
Gender equality is rooted in the capacity of individuals to independently make decisions regarding their social, political, and economic well-being. Unfortunately, women encounter diminished opportunities for engagement in these spheres, particularly evident in developing economies. UN-SDGs has placed gender equality as a 5th goal in the framework. This study aims to elucidate pathways for women empowerment by investigating the moderating influence of governance within the realm of financial inclusion. Panel data analysis has been employed for 30 developing economies for the time of 2004 to 2020.Data sources are World Development Indicators (WDI) and the International Country Risk Guide (ICRG). The labor force participation rate (LFPRF) was employed as a proxy for women empowerment and is treated as dependent variable. Governance and Financial Inclusion were examined as independent variables, with domestic credit to the private sector (DC) representing financial inclusion and governance stability (GS) acting as a proxy for governance. Gross capital formation (GCF) and gross domestic product per capita (GDPPC) were included as control variables. Ordinary Least Squares (OLS), FE, and RE regression models were considered appropriate after applying pre diagnostic tests. The study also employed Arellano Bond model for robustness. The Results indicated that 1 % increase in DC increased LFPRF by 1.05%,16%, and 0.16% in OLS, FE, RE respectively. Similarly, 1 % increase in GS increases LFPRF by 2.49% in OLS model and by 0.13% in both FE and RE model. The study also discussed the strategies to promote women empowerment through planned interventions in financial inclusion and governance.