Literature DB >> 36034405

The impact of mobile money on long-term poverty: evidence from Bangladesh.

A T M Hasibul Islam1, Syed Abul Basher2, A K Enamul Haque2.   

Abstract

Mobile money has become a lifeline for millions of poor people who have limited access to a formal banking system. It encompasses a wide range of benefits such as women's empowerment, risk sharing, improved labor market outcomes and reductions in poverty. In this paper, we ask whether mobile money can help lift people out of poverty. Previous studies have addressed this question by using microanalyses of field experiments or longitudinal data on rural households, whereas we use district-level data to reevaluate the mobile money-poverty nexus. In particular, we study the impact of mobile money on district-level poverty in Bangladesh over the period 2010-2016. Our study finds that every 1 billion Taka (approximately US$ 11.76 million) increase in mobile money transactions via the bKash system in 2015 is associated with 0.71% point reduction in the poverty rate in Bangladesh. The marginal impact ranges from 0.12 to 1.15% points across the districts categorized in five groups as per 2010 poverty rates. The findings suggest that mobile money has been successful in fostering various poverty reduction initiatives and that targeted policy prescriptions can be devised to lift up poorer societies that are still outside the purview of mobile financial services. To further increase mobile money use, the government could use its own infrastructure to enhance mobile agent density in the poorest sectors of society.
© The Author(s), under exclusive licence to Institute for Social and Economic Change 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Entities:  

Keywords:  Mobile money; Poverty; bKash

Year:  2022        PMID: 36034405      PMCID: PMC9395804          DOI: 10.1007/s40847-022-00194-0

Source DB:  PubMed          Journal:  J Soc Econ Dev        ISSN: 0972-5792


  2 in total

1.  Predicting poverty and wealth from mobile phone metadata.

Authors:  Joshua Blumenstock; Gabriel Cadamuro; Robert On
Journal:  Science       Date:  2015-11-27       Impact factor: 47.728

2.  The long-run poverty and gender impacts of mobile money.

Authors:  Tavneet Suri; William Jack
Journal:  Science       Date:  2016-12-08       Impact factor: 47.728

  2 in total

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