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Are digital payments driven by wealth inequality? Evidence from analysis of the unified payments interface (UPI) adoption in India

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  • Gupta, Rajesh
  • Anand, Arjun
  • Gupta, Tanya

Abstract

Though the manifestation of wealth endowment in digital payments technology adoption ranges can have far-reaching socio-economic implications, it remains an understudied area. The unified payment interface (UPI), a dominant digital payment system in India, is examined in this study for the influence of wealth endowment on digital payments executed via UPI in India. Utilizing the Instrumental Variable Quantile Regression (IVQR) method alongside the smooth IVQR method on district-level data, this study addresses endogeneity and heterogeneous treatment effects. The results indicate that income inequality impacts digital payments with a pronounced effect in regions with higher UPI adoption rates.

Suggested Citation

  • Gupta, Rajesh & Anand, Arjun & Gupta, Tanya, 2025. "Are digital payments driven by wealth inequality? Evidence from analysis of the unified payments interface (UPI) adoption in India," Economic Analysis and Policy, Elsevier, vol. 87(C), pages 1130-1141.
  • Handle: RePEc:eee:ecanpo:v:87:y:2025:i:c:p:1130-1141
    DOI: 10.1016/j.eap.2025.07.014
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    1. Roman Beck & Daniel Beimborn & Tim Weitzel & Wolfgang König, 2008. "Network effects as drivers of individual technology adoption: Analyzing adoption and diffusion of mobile communication services," Information Systems Frontiers, Springer, vol. 10(4), pages 415-429, September.
    2. Dirk Krueger & Fabrizio Perri, 2006. "Does Income Inequality Lead to Consumption Inequality? Evidence and Theory -super-1," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 73(1), pages 163-193.
    3. Kijima, Yoko, 2006. "Caste and Tribe Inequality: Evidence from India, 1983-1999," Economic Development and Cultural Change, University of Chicago Press, vol. 54(2), pages 369-404, January.
    4. Lee, Neil, 2025. "Inclusive innovation in cities: from buzzword to policy," LSE Research Online Documents on Economics 117818, London School of Economics and Political Science, LSE Library.
    5. Amarante, Verónica & Lanzilotta, Bibiana & Torres-Pérez, Joaquín, 2024. "Income inequality and complexity of the productive structure: New evidence at the world level," Economic Analysis and Policy, Elsevier, vol. 84(C), pages 628-645.
    6. Sam Asher & Tobias Lunt & Ryu Matsuura & Paul Novosad, 2021. "Development Research at High Geographic Resolution: An Analysis of Night-Lights, Firms, and Poverty in India Using the SHRUG Open Data Platform," The World Bank Economic Review, World Bank, vol. 35(4), pages 845-871.
    7. Gradín, Carlos, 2024. "Revisiting the trends in global inequality," World Development, Elsevier, vol. 179(C).
    8. Edward Wolff & Ajit Zacharias, 2007. "The Impact of Wealth Inequality on Economic Well-Being," Challenge, Taylor & Francis Journals, vol. 50(4), pages 65-87.
    9. Jeremy Srouji, 2020. "Digital Payments, the Cashless Economy, and Financial Inclusion in the United Arab Emirates: Why Is Everyone Still Transacting in Cash?," JRFM, MDPI, vol. 13(11), pages 1-10, October.
    10. Alix-Garcia, Jennifer, 2008. "An exploration of the positive effect of inequality on common property forests," Journal of Development Economics, Elsevier, vol. 87(1), pages 92-105, August.
    11. Ali, Mohammad Afshar & Alam, Khorshed & Taylor, Brad & Rafiq, Shuddhasattwa, 2019. "Do income distribution and socio-economic inequality affect ICT affordability? Evidence from Australian household panel data," Economic Analysis and Policy, Elsevier, vol. 64(C), pages 317-328.
    12. Jeremy Samer Srouji, 2020. "Digital Payments, the Cashless Economy, and Financial Inclusion in the United Arab Emirates: Why Is Everyone Still Transacting in Cash?," Post-Print hal-03015357, HAL.
    13. Ethan Ligon & Badal Malick & Ketki Sheth & Carly Trachtman, 2019. "What explains low adoption of digital payment technologies? Evidence from small-scale merchants in Jaipur, India," PLOS ONE, Public Library of Science, vol. 14(7), pages 1-22, July.
    14. Victor Chernozhukov & Christian Hansen, 2005. "An IV Model of Quantile Treatment Effects," Econometrica, Econometric Society, vol. 73(1), pages 245-261, January.
    15. Maria Malaguti, 2015. "Payment System Regulation for Improving Financial Inclusion," Working Papers id:7986, eSocialSciences.
    16. De Sousa, Sergio, 2010. "The role of payment systems in reaching the unbanked," Journal of Payments Strategy & Systems, Henry Stewart Publications, vol. 4(2), pages 145-155, June.
    17. Ng, Dennis, 2018. "Evolution of digital payments: Early learnings from Singapore’s cashless payment drive," Journal of Payments Strategy & Systems, Henry Stewart Publications, vol. 11(4), pages 306-312, February.
    18. Dominique Rambure & Alec Nacamuli, 2008. "The Role of Payment Systems in the Economy," Palgrave Macmillan Studies in Banking and Financial Institutions, in: Payment Systems, chapter 5, pages 69-73, Palgrave Macmillan.
    19. Katalin Springel, 2021. "Network Externality and Subsidy Structure in Two-Sided Markets: Evidence from Electric Vehicle Incentives," American Economic Journal: Economic Policy, American Economic Association, vol. 13(4), pages 393-432, November.
    20. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
    21. David M. Kaplan, 2022. "Smoothed instrumental variables quantile regression," Stata Journal, StataCorp LLC, vol. 22(2), pages 379-403, June.
    22. Angela M. Bowey & Richard Thorpe & Phil Hellier, 1986. "Payment Systems and Productivity," Palgrave Macmillan Books, Palgrave Macmillan, number 978-1-349-18106-3, June.
    23. Juzhong Zhuang, 2023. "Income and Wealth Inequality in Asia and the Pacific: Trends, Causes, and Policy Remedies," Asian Economic Policy Review, Japan Center for Economic Research, vol. 18(1), pages 15-41, January.
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    Keywords

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    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • R20 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - General

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