Socioeconomic and demographic determinants of financial inclusion in South Asia: Integrated policy for targeted groups of population

IF 3.5 2区 经济学 Q1 ECONOMICS Journal of Policy Modeling Pub Date : 2024-05-01 DOI:10.1016/j.jpolmod.2024.03.002
Sumit Kumar, Kalandi Charan Pradhan
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Abstract

This paper aims to analyze the individual’s socioeconomic and demographic determinants of financial inclusion and its barriers among for South Asian countries in the lens of existing financial inclusion policy, using World Bank Global Findex database for the period 2011, 2014, 2017, and 2021. We use the Probit regression model to explore the main objective of this study. In addition, we also analyze the trend, pattern, and barriers of financial inclusion for the period 2011- 2021 to identify differences among south Asian countries. Our results reveal that Sri Lanka is the best performer in the inclusivity of financial products as well as removing barriers to financial inclusion in all four periods. While Pakistan and Afghanistan are the least financially included countries, also they failed to remove barriers to financial inclusion. Moreover, our empirical results suggest that individuals who are male, older, wealthier, and more educated are more likely to access financial services, with income and education exerting a higher influence. Further, age shows a non-linear (inverted U-shaped) relationship with financial inclusion indicators. Additionally, we found that individuals having a formal account are the most important indicators of financial inclusion. And the reasons for financial exclusion (i.e., not having an account) are mainly voluntary among South Asian individuals. In fact, it is found that policies like Pradhan Mantri Jan Dhan Yojana for India and National Financial Inclusion Strategy across all South Asian countries play a significant role in accelerating financial inclusion and helping in removing its barriers with different magnitudes. Therefore, our finding stresses the importance of heterogeneous integrated policy measures for the targeted groups of the population, particularly the most vulnerable group among South Asian countries.

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南亚金融包容性的社会经济和人口决定因素:针对目标人群的综合政策
本文旨在从现有金融包容性政策的角度,利用世界银行全球金融包容性数据库(2011、2014、2017 和 2021 年),分析南亚国家金融包容性的个人社会经济和人口决定因素及其障碍。我们使用 Probit 回归模型来探讨本研究的主要目标。此外,我们还分析了 2011-2021 年间普惠金融的趋势、模式和障碍,以确定南亚国家之间的差异。我们的研究结果表明,在所有四个时期,斯里兰卡在金融产品的包容性以及消除金融包容性障碍方面表现最佳。巴基斯坦和阿富汗是金融包容性最低的国家,也未能消除金融包容性的障碍。此外,我们的实证结果表明,男性、年龄较大、较富裕和受教育程度较高的个人更有可能获得金融服务,其中收入和教育程度的影响更大。此外,年龄与金融包容性指标呈非线性(倒 U 型)关系。此外,我们还发现,拥有正规账户的个人是最重要的金融包容性指标。而造成金融排斥的原因(即没有账户)主要是南亚人的自愿行为。事实上我们发现,印度的 Pradhan Mantri Jan Dhan Yojana 和所有南亚国家的国家金融包容性战略等政策在加速金融包容性和帮助消除不同程度的金融包容性障碍方面发挥了重要作用。因此,我们的研究结果强调了针对目标群体(主要是南亚国家中最脆弱的群体)采取各种综合政策措施的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.20
自引率
11.40%
发文量
76
期刊介绍: The Journal of Policy Modeling is published by Elsevier for the Society for Policy Modeling to provide a forum for analysis and debate concerning international policy issues. The journal addresses questions of critical import to the world community as a whole, and it focuses upon the economic, social, and political interdependencies between national and regional systems. This implies concern with international policies for the promotion of a better life for all human beings and, therefore, concentrates on improved methodological underpinnings for dealing with these problems.
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