Yogeeswari Subramaniam, Nanthakumar Loganathan, Fatin Nur Hidayah Taib Khan, Thirunaukarasu Subramaniam
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Exploring the Impact of Artificial Intelligence on Financial Inclusion: Cross-Country Analysis
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.
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.