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Non-Linear Impact of ICT on Profitability of Commercial Banks in Vietnam

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  • Le Hoang Vinh
  • Ngo Van Toan
  • Pham Le Quang

Abstract

The aim of this article is to evaluate the nonlinear impact of ICT on the profitability of commercial banks in Vietnam and determine the ICT threshold for banks to gain additional profits from this investment. The research sample was selected by purposive sampling method, including 25 commercial banks in the period 2010-2020. The estimation results according to the 2-step system GMM indicate that ICT has a U-shaped nonlinear effect on profitability, and profitability will be lowest when the readiness index for ICT development and application reaches 0.6052 according to the derivative method, if this level is exceeded, ICT will have a positive impact on profitability and vice versa.

Suggested Citation

  • Le Hoang Vinh & Ngo Van Toan & Pham Le Quang, 2023. "Non-Linear Impact of ICT on Profitability of Commercial Banks in Vietnam," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 4, pages 42-53.
  • Handle: RePEc:bas:econst:y:2023:i:4:p:42-53
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    References listed on IDEAS

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    1. Williamson, Oliver E, 1979. "Transaction-Cost Economics: The Governance of Contractural Relations," Journal of Law and Economics, University of Chicago Press, vol. 22(2), pages 233-261, October.
    2. Andreas Fuster & Matthew Plosser & Philipp Schnabl & James Vickery, 2019. "The Role of Technology in Mortgage Lending," The Review of Financial Studies, Society for Financial Studies, vol. 32(5), pages 1854-1899.
    3. Juliane Begenau & Maryam Farboodi & Laura Veldkamp, 2018. "Big Data in Finance and the Growth of Large Firms," Working Papers 18-08, New York University, Leonard N. Stern School of Business, Department of Economics.
    4. Juliane Begenau & Maryam Farboodi & Laura Veldkamp, 2018. "Big Data in Finance and the Growth of Large Firms," NBER Working Papers 24550, National Bureau of Economic Research, Inc.
    5. Marko Jakšič & Matej Marinč, 2019. "Relationship banking and information technology: the role of artificial intelligence and FinTech," Risk Management, Palgrave Macmillan, vol. 21(1), pages 1-18, March.
    6. Juliane Begenau & Laura Veldkamp & Maryam Farboodi, 2018. "Big Data in Finance and the Growth of Large Firms," 2018 Meeting Papers 155, Society for Economic Dynamics.
    7. Mark A Chen & Qinxi Wu & Baozhong Yang, 2019. "How Valuable Is FinTech Innovation?," The Review of Financial Studies, Society for Financial Studies, vol. 32(5), pages 2062-2106.
    8. Begenau, Juliane & Farboodi, Maryam & Veldkamp, Laura, 2018. "Big data in finance and the growth of large firms," Journal of Monetary Economics, Elsevier, vol. 97(C), pages 71-87.
    9. R.M. Mahboub, 2018. "The Impact of Information and Communication Technology Investments on the Performance of Lebanese Banks," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 435-458.
    10. Liurui Deng & Yongbin Lv & Ye Liu & Yiwen Zhao, 2021. "Impact of Fintech on Bank Risk-Taking: Evidence from China," Risks, MDPI, vol. 9(5), pages 1-27, May.
    11. repec:ers:journl:v:volumexxi:y:2018:i:issue4:p:435-458 is not listed on IDEAS
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    More about this item

    JEL classification:

    • G20 - Financial Economics - - Financial Institutions and Services - - - General
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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