The Influence of Digital Financial Services on Consumer Behavior and Welfare in Developing Economies
Abstract
Digital financial services (DFS) have changed how consumers in developing economies manage income, expenditure, savings, payments, and financial risk. This paper reviews the theoretical and empirical literature on the influence of DFS on consumer behavior and welfare through utility maximization, income and substitution effects, and risk management. Evidence from mobile money and digital finance studies shows that lower transaction costs, easier access to transfers and savings, and improved consumption smoothing can increase welfare, especially for financially excluded households. However, the benefits remain uneven because of differences in digital literacy, infrastructure, affordability, regulation, fraud exposure, and data protection. The review also identifies important limitations in the existing evidence, including the concentration of studies in East Africa and the limited availability of long-term comparative data. The paper argues that inclusive digital infrastructure, consumer protection, financial literacy, and effective regulation are necessary for digital finance to support broad-based welfare gains.
Keywords
Digital financial services, consumer behavior, consumer welfare
References
Aker, J.C. and Wilson, K. (2013) Can Mobile Money Be Used to Promote Savings? Evidence from Northern Ghana. SWIFT Institute Working Paper.
Andrianaivo, M. and Kpodar, K. (2012) “Mobile phones, financial inclusion, and growth”, Review of Economics and Institutions, 3(2), pp. 1-30. https://doi.org/10.5202/rei.v3i2.75
Beck, T., Demirgüç-Kunt, A. and Levine, R. (2007) “Finance, inequality and the poor”, Journal of Economic Growth, 12(1), pp. 27-49. https://doi.org/10.1007/s10887-007-9010-6
Carroll, C.D. and Kimball, M.S. (1996) “On the concavity of the consumption function”, Econometrica, 64(4), pp. 981-992.
Deaton, A. (1992) Understanding Consumption. Oxford: Oxford University Press. https://doi.org/10.1093/0198288247.001.0001
Demirgüç-Kunt, A., Klapper, L., Singer, D. and Ansar, S. (2022) The Global Findex Database 2021: Financial Inclusion, Digital Payments, and Resilience in the Age of COVID-19. Washington, DC: World Bank.
Dupas, P. and Robinson, J. (2013) “Why don’t the poor save more? Evidence from health savings experiments”, American Economic Review, 103(4), pp. 1138-1171. https://doi.org/10.1257/aer.103.4.1138
Dzokoto, V.A. and Appiah, E. (2014) Making Sense of Mobile Money in Urban Ghana: Personal, Business, Social and Financial Inclusion Prospects. Institute for Money, Technology & Financial Inclusion, University of California, Irvine.
GSMA (2022) State of the Industry Report on Mobile Money 2022. London: GSMA.
Jack, W. and Suri, T. (2014) “Risk sharing and transactions costs: Evidence from Kenya’s mobile money revolution”, American Economic Review, 104(1), pp. 183-223. https://doi.org/10.1257/aer.104.1.183
Kahneman, D. (2011) Thinking, Fast and Slow. New York: Farrar, Straus and Giroux.
Karlan, D., McConnell, M., Mullainathan, S. and Zinman, J. (2016) “Getting to the top of mind: How reminders increase saving”, Management Science, 62(12), pp. 3393-3411. https://doi.org/10.1287/mnsc.2015.2296
Mbiti, I. and Weil, D.N. (2016) “Mobile banking: The impact of M-Pesa in Kenya”, in Edwards, S., Johnson, S. and Weil, D.N. (eds.) African Successes, Volume III: Modernization and Development. Chicago: University of Chicago Press. https://doi.org/10.7208/chicago/9780226315867.003.0007
Nicholson, W. and Snyder, C. (2017) Microeconomic Theory: Basic Principles and Extensions. 12th edn. Boston, MA: Cengage Learning.
Ozili, P.K. (2018) “Impact of digital finance on financial inclusion and stability”, Borsa Istanbul Review, 18(4), pp. 329-340. https://doi.org/10.1016/j.bir.2017.12.003
Ozili, P.K. (2020) “Contesting digital finance for the poor”, Digital Policy, Regulation and Governance, 22(2), pp. 135-151. https://doi.org/10.1108/DPRG-12-2019-0104
Samuelson, P.A. (1948) “Consumption theory in terms of revealed preference”, Economica, 15(60), pp. 243-253.
Suri, T. and Jack, W. (2016) “The long-run poverty and gender impacts of mobile money”, Science, 354(6317), pp. 1288-1292. https://doi.org/10.1126/science.aah5309
Thaler, R.H. and Sunstein, C.R. (2008) Nudge: Improving Decisions about Health, Wealth, and Happiness. New Haven, CT: Yale University Press.
Varian, H.R. (2014) Intermediate Microeconomics: A Modern Approach. 9th edn. New York: W.W. Norton & Company.
Vong, J. and Song, I. (2015) Emerging Technologies for Emerging Markets. Singapore: Springer. https://doi.org/10.1007/978-981-287-381-6
World Bank (2020) Digital Financial Services. Washington, DC: World Bank Group.
Download and View Statistics
Copyright License
Copyright (c) 2026 Abdulaziz Pulatjonov

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain the copyright of their manuscripts, and all Open Access articles are disseminated under the terms of the Creative Commons Attribution License 4.0 (CC-BY), which licenses unrestricted use, distribution, and reproduction in any medium, provided that the original work is appropriately cited. The use of general descriptive names, trade names, trademarks, and so forth in this publication, even if not specifically identified, does not imply that these names are not protected by the relevant laws and regulations.

Management and Economics
| Open Access |
DOI: