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

被引:0
|
作者
Subramaniam, Yogeeswari [1 ]
Loganathan, Nanthakumar [1 ]
Khan, Fatin Nur Hidayah Taib [2 ]
Subramaniam, Thirunaukarasu [3 ]
机构
[1] Univ Teknol Malaysia, Fac Management, Johor Baharu 81030, Johor, Malaysia
[2] Univ Malaysia Sarawak, Fac Econ & Business, Kota Samarahan 94300, Sarawak, Malaysia
[3] Univ Malaya, Fac Arts & Social Sci, Kuala Lumpur 50603, Malaysia
关键词
Artificial intelligence; Financial inclusion; Static panel estimation; Dynamic GMM; PANEL-DATA; ACCESS;
D O I
10.1007/s11205-024-03380-1
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
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.
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页数:18
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