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The adoption and use of mobile payment: Determinants and relationship with bank access☆

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  • Song, Ke
  • Wu, Peizhang
  • Zou, Sarah

Abstract

This study aims to answer two questions: What determines the adoption and use of mobile payment? What is the relationship between mobile payment and access to traditional bank services? By using representative survey data in rural China, we apply a hurdle model with 2SLS and find that consumers with better access to bank services are more likely to adopt mobile payment. However, after adoption, the less often the consumers visit banks because of distance or social constraints, the more they use mobile payment to complement bank services. Younger, better educated households with higher income and more smart phones are more likely to adopt and use mobile payment. Among these characteristics, age has the largest marginal effect while income has the least. Households in the agricultural sector are least likely to adopt and use mobile payment. We also find that awareness of neighbors' use of non-cash payment has a substantial positive effect.

Suggested Citation

  • Song, Ke & Wu, Peizhang & Zou, Sarah, 2023. "The adoption and use of mobile payment: Determinants and relationship with bank access☆," China Economic Review, Elsevier, vol. 77(C).
    • Handle: RePEc:eee:chieco:v:77:y:2023:i:c:s1043951x22001651
    DOI: 10.1016/j.chieco.2022.101907
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    1. Brian S. Chen & Samuel G. Hanson & Jeremy C. Stein, 2017. "The Decline of Big-Bank Lending to Small Business: Dynamic Impacts on Local Credit and Labor Markets," NBER Working Papers 23843, National Bureau of Economic Research, Inc.
    2. Usman Ahmed & Thorsten Beck & Christine McDaniel & Simon Schropp, 2015. "Filling the Gap: How Technology Enables Access to Finance for Small- and Medium-Sized Enterprises," Innovations: Technology, Governance, Globalization, MIT Press, vol. 10(3-4), pages 35-48, Summer-Fa.
    3. Jagtiani, Julapa & Lemieux, Catharine, 2018. "Do fintech lenders penetrate areas that are underserved by traditional banks?," Journal of Economics and Business, Elsevier, vol. 100(C), pages 43-54.
    4. Jünger, Moritz & Mietzner, Mark, 2020. "Banking goes digital: The adoption of FinTech services by German households," Finance Research Letters, Elsevier, vol. 34(C).
    5. Buchak, Greg & Matvos, Gregor & Piskorski, Tomasz & Seru, Amit, 2018. "Fintech, regulatory arbitrage, and the rise of shadow banks," Journal of Financial Economics, Elsevier, vol. 130(3), pages 453-483.
    6. Sergei Koulayev & Marc Rysman & Scott Schuh & Joanna Stavins, 2016. "Explaining adoption and use of payment instruments by US consumers," RAND Journal of Economics, RAND Corporation, vol. 47(2), pages 293-325, May.
    7. Cragg, John G, 1971. "Some Statistical Models for Limited Dependent Variables with Application to the Demand for Durable Goods," Econometrica, Econometric Society, vol. 39(5), pages 829-844, September.
    8. William Jack & Tavneet Suri, 2014. "Risk Sharing and Transactions Costs: Evidence from Kenya's Mobile Money Revolution," American Economic Review, American Economic Association, vol. 104(1), pages 183-223, January.
    9. Ajao Qasim & Emad Abu-Shanab, 2016. "Drivers of mobile payment acceptance: The impact of network externalities," Information Systems Frontiers, Springer, vol. 18(5), pages 1021-1034, October.
    10. Beck, Thorsten & Pamuk, Haki & Ramrattan, Ravindra & Uras, Burak R., 2018. "Payment instruments, finance and development," Journal of Development Economics, Elsevier, vol. 133(C), pages 162-186.
    11. Zhao, Chunkai & Wu, Yaqian & Guo, Jianhao, 2022. "Mobile payment and Chinese rural household consumption," China Economic Review, Elsevier, vol. 71(C).
    12. Duan, Naihua, et al, 1983. "A Comparison of Alternative Models for the Demand for Medical Care," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(2), pages 115-126, April.
    13. Huan Tang, 2019. "Peer-to-Peer Lenders Versus Banks: Substitutes or Complements?," The Review of Financial Studies, Society for Financial Studies, vol. 32(5), pages 1900-1938.
    14. William Jack & Tavneet Suri, 2011. "Mobile Money: The Economics of M-PESA," NBER Working Papers 16721, National Bureau of Economic Research, Inc.
    15. Anthony Amoah & Kofi Korle & Rexford Kweku Asiama, 2020. "Mobile money as a financial inclusion instrument: what are the determinants?," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 47(10), pages 1283-1297, August.
    16. Joanna Stavins, 2016. "The effect of demographics on payment behavior: panel data with sample selection," Working Papers 16-5, Federal Reserve Bank of Boston.
    17. Joanna Stavins, 2017. "How do consumers make their payment choices?," Research Data Report 17-1, Federal Reserve Bank of Boston.
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    More about this item

    Keywords

    Mobile payment; Financial inclusion; Banking; FinTech; Consumer behavior;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
    • G4 - Financial Economics - - Behavioral Finance

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