Exploring the Impact of Artificial Intelligence on Financial Inclusion: Cross-Country Analysis

IF 2.8 2区社会学 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY

Social Indicators Research Pub Date : 2024-07-06 DOI:10.1007/s11205-024-03380-1

Yogeeswari Subramaniam, Nanthakumar Loganathan, Fatin Nur Hidayah Taib Khan, Thirunaukarasu Subramaniam

{"title":"Exploring the Impact of Artificial Intelligence on Financial Inclusion: Cross-Country Analysis","authors":"Yogeeswari Subramaniam, Nanthakumar Loganathan, Fatin Nur Hidayah Taib Khan, Thirunaukarasu Subramaniam","doi":"10.1007/s11205-024-03380-1","DOIUrl":null,"url":null,"abstract":"<p>This study uses panel data from 29 countries that were categorised from low to high in terms of AI adoption from 2017 to 2021 to investigate the impact of artificial intelligence on financial inclusion. The study employed both static and dynamic Generalized Method of Moments (GMM) panel data estimations to achieve the research objective. The findings show that artificial intelligence is a statistically significant determinant of financial inclusion and helps promote financial inclusion in countries that adopt artificial intelligence. Besides that, robustness analysis conducted for alternative measures of AI, and the results continue to demonstrate that AI contributes to financial inclusion by addressing some of the issues that have historically made it difficult for some groups to receive financial services. As a result, significant expansion, and the deployment of artificial intelligence in the finance sector are required to overcome existing financial exclusion and promote financial inclusion. and solve the existing financial exclusion issues.</p>","PeriodicalId":21943,"journal":{"name":"Social Indicators Research","volume":"11 1","pages":""},"PeriodicalIF":2.8000,"publicationDate":"2024-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Social Indicators Research","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1007/s11205-024-03380-1","RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SOCIAL SCIENCES, INTERDISCIPLINARY","Score":null,"Total":0}

引用次数: 0

Abstract

This study uses panel data from 29 countries that were categorised from low to high in terms of AI adoption from 2017 to 2021 to investigate the impact of artificial intelligence on financial inclusion. The study employed both static and dynamic Generalized Method of Moments (GMM) panel data estimations to achieve the research objective. The findings show that artificial intelligence is a statistically significant determinant of financial inclusion and helps promote financial inclusion in countries that adopt artificial intelligence. Besides that, robustness analysis conducted for alternative measures of AI, and the results continue to demonstrate that AI contributes to financial inclusion by addressing some of the issues that have historically made it difficult for some groups to receive financial services. As a result, significant expansion, and the deployment of artificial intelligence in the finance sector are required to overcome existing financial exclusion and promote financial inclusion. and solve the existing financial exclusion issues.

查看原文本刊更多论文

探索人工智能对金融包容性的影响：跨国分析

本研究使用从2017年到2021年人工智能采用率从低到高分类的29个国家的面板数据，研究人工智能对普惠金融的影响。研究采用了静态和动态广义矩法（GMM）面板数据估计来实现研究目标。研究结果表明，在采用人工智能的国家，人工智能是金融包容性的一个具有统计意义的决定因素，有助于促进金融包容性。此外，还对人工智能的其他衡量标准进行了稳健性分析，结果继续表明，人工智能通过解决历史上导致某些群体难以获得金融服务的一些问题，促进了普惠金融的发展。因此，要克服现有的金融排斥现象，促进金融普惠，就必须在金融领域大力推广和部署人工智能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Social Indicators Research Multiple-

CiteScore

6.30

自引率

6.50%

发文量

174

期刊介绍： Since its foundation in 1974, Social Indicators Research has become the leading journal on problems related to the measurement of all aspects of the quality of life. The journal continues to publish results of research on all aspects of the quality of life and includes studies that reflect developments in the field. It devotes special attention to studies on such topics as sustainability of quality of life, sustainable development, and the relationship between quality of life and sustainability. The topics represented in the journal cover and involve a variety of segmentations, such as social groups, spatial and temporal coordinates, population composition, and life domains. The journal presents empirical, philosophical and methodological studies that cover the entire spectrum of society and are devoted to giving evidences through indicators. It considers indicators in their different typologies, and gives special attention to indicators that are able to meet the need of understanding social realities and phenomena that are increasingly more complex, interrelated, interacted and dynamical. In addition, it presents studies aimed at defining new approaches in constructing indicators.