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Fintech Credit and Bank Efficiency: International Evidence


  • Tu D. Q. Le

    (Institute for Development and Research in Banking Technology, University of Economics and Law, Ho Chi Minh City 70000, Vietnam
    Vietnam National University, Ho Chi Minh City 70000, Vietnam)

  • Tin H. Ho

    (Institute for Development and Research in Banking Technology, University of Economics and Law, Ho Chi Minh City 70000, Vietnam
    Vietnam National University, Ho Chi Minh City 70000, Vietnam)

  • Dat T. Nguyen

    (Vietnam National University, Ho Chi Minh City 70000, Vietnam
    School of Finance and Banking, University of Economics and Law, Ho Chi Minh City 700000, Vietnam)

  • Thanh Ngo

    (School of Aviation, Massey University, Palmerston North 4442, New Zealand
    University of Economics and Business, Vietnam National University, Hanoi 10000, Vietnam)


The expansion of fintech credit around the world is challenging the global banking system. This study investigates the interrelationships between the development of fintech credit and the efficiency of banking systems in 80 countries from 2013 to 2017. The findings indicate a two-way relationship between them. More specifically, a negative relationship between bank efficiency and fintech credit implies that fintech credit is more developed in countries with less efficient banking systems. Meanwhile, a positive impact of fintech credit on the efficiency of banking systems suggests that fintech credit may serve as a wake-up call to the banking system. Therefore, fintech credit should be encouraged by the authorities around the world.

Suggested Citation

  • Tu D. Q. Le & Tin H. Ho & Dat T. Nguyen & Thanh Ngo, 2021. "Fintech Credit and Bank Efficiency: International Evidence," IJFS, MDPI, vol. 9(3), pages 1-16, August.
  • Handle: RePEc:gam:jijfss:v:9:y:2021:i:3:p:44-:d:616226

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    References listed on IDEAS

    1. Demirguc, Asli & Huizinga, Harry, 1999. "Determinants of Commercial Bank Interest Margins and Profitability: Some International Evidence," The World Bank Economic Review, World Bank, vol. 13(2), pages 379-408, May.
    2. Stijn Claessens & Jon Frost & Grant Turner & Feng Zhu, 2018. "Fintech credit markets around the world: size, drivers and policy issues," BIS Quarterly Review, Bank for International Settlements, September.
    3. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    4. Calebe de Roure & Loriana Pelizzon & Anjan Thakor, 2022. "P2P Lenders versus Banks: Cream Skimming or Bottom Fishing? [Loan officer incentives, internal rating models and default rates]," The Review of Corporate Finance Studies, Society for Financial Studies, vol. 11(2), pages 213-262.
    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. Drake, Leigh & Hall, Maximilian J.B. & Simper, Richard, 2006. "The impact of macroeconomic and regulatory factors on bank efficiency: A non-parametric analysis of Hong Kong's banking system," Journal of Banking & Finance, Elsevier, vol. 30(5), pages 1443-1466, May.
    7. Tin H. Ho & Dat T. Nguyen & Thanh Ngo & Tu D. Q. Le, 2021. "Efficiency in Vietnamese Banking: A Meta-Regression Analysis Approach," IJFS, MDPI, vol. 9(3), pages 1-15, August.
    8. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    9. Gambacorta, Leonardo & Cornelli, Giulio & Frost, Jon & Rau, Raghavendra & Wardrop, Robert & Ziegler, Tania, 2020. "Fintech and big tech credit: a new database," CEPR Discussion Papers 15357, C.E.P.R. Discussion Papers.
    10. Cheng, Maoyong & Qu, Yang, 2020. "Does bank FinTech reduce credit risk? Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 63(C).
    11. World Bank, 2017. "World Development Indicators 2017," World Bank Publications - Books, The World Bank Group, number 26447, December.
    12. Thanh Ngo & Tu Le, 2019. "Capital market development and bank efficiency: a cross-country analysis," International Journal of Managerial Finance, Emerald Group Publishing Limited, vol. 15(4), pages 478-491, June.
    13. Timothy J. Coelli & D.S. Prasada Rao & Christopher J. O’Donnell & George E. Battese, 2005. "An Introduction to Efficiency and Productivity Analysis," Springer Books, Springer, edition 0, number 978-0-387-25895-9, June.
    14. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    15. Reinhard, Stijn & Knox Lovell, C. A. & Thijssen, Geert J., 2000. "Environmental efficiency with multiple environmentally detrimental variables; estimated with SFA and DEA," European Journal of Operational Research, Elsevier, vol. 121(2), pages 287-303, March.
    16. Thi My Phan, Hanh & Daly, Kevin & Akhter, Selim, 2016. "Bank efficiency in emerging Asian countries," Research in International Business and Finance, Elsevier, vol. 38(C), pages 517-530.
    17. Nguyen, James, 2012. "The relationship between net interest margin and noninterest income using a system estimation approach," Journal of Banking & Finance, Elsevier, vol. 36(9), pages 2429-2437.
    18. de Roure, Calebe & Pelizzon, Loriana & Tasca, Paolo, 2016. "How does P2P lending fit into the consumer credit market?," Discussion Papers 30/2016, Deutsche Bundesbank.
    19. Robert Z. Aliber & Charles P. Kindleberger, 2015. "Manias, Panics, and Crashes," Palgrave Macmillan Books, Palgrave Macmillan, edition 0, number 978-1-137-52574-1, September.
    20. Xiaoqing Maggie Fu & Yongjia Rebecca Lin & Philip Molyneux, 2015. "Bank Competition, Efficiency and Liquidity Creation in Asia Pacific," Palgrave Macmillan Studies in Banking and Financial Institutions, Palgrave Macmillan, number 978-1-137-53384-5, December.
    21. Allen, Franklin & Gale, Douglas, 1999. "Diversity of Opinion and Financing of New Technologies," Journal of Financial Intermediation, Elsevier, vol. 8(1-2), pages 68-89, January.
    22. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min & Lin, Bruce J.Y., 2013. "A survey of DEA applications," Omega, Elsevier, vol. 41(5), pages 893-902.
    23. 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.
    24. Oh, Eun Young & Rosenkranz, Peter, 2020. "Determinants of Peer-to-Peer Lending Expansion: The Roles of Financial Development and Financial Literacy," ADB Economics Working Paper Series 613, Asian Development Bank.
    25. Eunjung Yeo & Jooyong Jun, 2020. "Peer-to-Peer Lending and Bank Risks: A Closer Look," Sustainability, MDPI, vol. 12(15), pages 1-17, July.
    26. Tu DQ. Le & Thanh Ngo, 2020. "The determinants of bank profitability : A cross-country analysis," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 20(2), pages 65-73.
    27. Javier Vidal-García & Marta Vidal & Sabri Boubaker & Majdi Hassan, 2018. "The efficiency of mutual funds," Annals of Operations Research, Springer, vol. 267(1), pages 555-584, August.
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    2. Ngo, Thanh & Trinh, Hai Hong & Haouas, Ilham & Ullah, Subhan, 2022. "Examining the bidirectional nexus between financial development and green growth: International evidence through the roles of human capital and education expenditure," Resources Policy, Elsevier, vol. 79(C).

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