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Financial Technology and Its Impact on Poverty in India

descriptionPublicationkeyboard_double_arrow_right Article 30 Nov 2021Publisher:Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESPJournal:International Journal of Management and Humanities, volume 6, pages 1-10 (eissn: 2394-0913,

Authors: Rahul Singh Gautam; Jagjeevan Kanoujiya; Venkata Mrudula Bhimavarapu,; Shailesh Rastogi;

doi: 10.35940/ijmh.b1396.116321

Financial Technology and Its Impact on Poverty in India

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Abstract

The paper aims to examine the effects of financial technology (Kisan Credit Card and ATM) on India's Poverty and empirically analyze the influence of financial technology on poverty scores. We consider data from twenty-two Indian states for three fiscal years, i.e., from 2018 to 2020. The current study uses panel data analysis to test the hypothesis. Results suggest a negative association between financial technology (Kisan credit card and ATM) and its influence on the poverty score in India. The current study suggests that the government should pay more attention to expanding financial technology, including increasing economic growth and financial stability and eliminating poverty by investing in infrastructure that would enhance banking services.

Related Organizations

Krishna Institute of Medical Sciences Deemed University
India

Keywords

Financial Technology, Financial Inclusion, Digitalization, Poverty, ATM, KCC, India.

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	16
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%