The long-run poverty and gender impacts of mobile money

By Tavneet Suri, W. Jack. Science, 2016

1,152 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Information Systems, Safety Research

View Paper: https://www.semanticscholar.org/paper/91572d539b0732ca327a08f8219c7032ad3c99e3

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Citations in the corpus

Strengthening science, technology, and innovation-based incubators to help achieve Sustainable Development Goals: Lessons from India (2020, neutral): “Startups like Kenya’s M-Pesa operate in this space and have contributed to lifting households out of poverty (Suri and Jack, 2016).”
Is fin-tech the new panacea for poverty alleviation and local development? Contesting Suri and Jack’s M-Pesa findings published in Science (2019, background): “Rather, Suri and Jack (2016, 1291) make no definitive claim as to the cause of the rise in consumption, pointing out that ‘The higher consumption levels we observed could be driven by increased labor or capital income, or simply by transfers between individuals with different propensities to…”
Mobile Telephony, Financial Inclusion and Inclusive Growth (2018, result): “The results of this study are consistent with the findings of Suri and Jack (2016). The welfare status of households significantly affects the ownership and usage of mobile phones at 1% in Tables 3–5.”
Realizing the potential of digital development: The case of agricultural advice (2019, background): “Digital technologies have been deployed in a range of sectors — including finance, education, health, and civic participation — to improve development outcomes ( 1 , 4 , 5 ).”
Why Do Defaults Affect Behavior? Experimental Evidence from Afghanistan (2018, neutral): “These accounts have historically been used primarily for interpersonal transfers (Jack and Suri 2014; Blumenstock, Eagle, Fafchamps 2016), and in Kenya, the country where mobile money is most widespread, have led to reductions in poverty (Suri and Jack 2016).”
Building financial resilience through financial and digital literacy in South Asia and Sub-Saharan Africa (2020, neutral): “…natural disasters Electronic copy available at: https://ssrn.com/abstract=3849699 (Blumenstock, Eagle, & Fafchamps, 2016; Jack & Suri, 2014; Lyons, Kass-Hanna, & Greenlee, 2020; Munyegera & Matsumoto, 2016; Riley, 2018; Suri & Jack, 2016; Wieser, Bruhn, Kinzinger, Ruckteschler, & Heitmann, 2019).”
Digital Financial Inclusion and Farmers’ Vulnerability to Poverty: Evidence from Rural China (2020, background): “Several recent papers also provide some evidence on positive [8,24] or negative [23] correlations between this payment tool and economic activity.”
Mobile Money and the Economy: A Review of the Evidence (2018, background): “Improved risk sharing and cheaper, secure, long-range remittances can expand the scope of labour decisions to encompass higher-risk but higher-return occupations, or migration to higher-return labour markets (Jack and Suri, 2016).”
Accelerating Poverty Reduction in Africa (2019, background): “Beck, Demirgüç-Kunt, and Levine (2007) and Naceur and Zhang (2016) find that financial development is associated with”
The role of financial inclusion in driving women’s economic empowerment (2019, background): “In Kenya, the impact of the introduction of mobile money in moving households out of poverty was particularly pronounced for female-headed households (Suri and Jack 2016).”
Fintech, financial inclusion and income inequality: a quantile regression approach (2020, background): “Research by Suri and Jack (2016) shows that mobile money lifted 2 percent of Kenyan households out of poverty and increased per capita consumption levels.”
Poverty, depression, and anxiety: Causal evidence and mechanisms (2020, background): “The spread of mobile phones and the internet opens up opportunities for poverty alleviation (112) and new ways to deliver mental health care.”