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Big techs, QR code payments and financial inclusion

Author

Listed:
  • Thorsten Beck
  • Leonardo Gambacorta
  • Yiping Huang
  • Zhenhua Li
  • Han Qiu

Abstract

Using a unique dataset of around half a million Chinese firms that use a QR code-based mobile payment system, we find that (i) the creation of a digital payment footprint allows firms to access credit provided by the same big tech company; (ii) transaction data generated via QR code generate spillover effects on access to bank credit; and (iii) there are positive effects of access to big tech credit on sales, including during the Covid-19 shock. The findings suggest that access to innovative payment methods helps micro firms build up credit history, and that using big tech credit can ease access to bank credit.

Suggested Citation

  • Thorsten Beck & Leonardo Gambacorta & Yiping Huang & Zhenhua Li & Han Qiu, 2022. "Big techs, QR code payments and financial inclusion," BIS Working Papers 1011, Bank for International Settlements.
  • Handle: RePEc:bis:biswps:1011
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    1. Rajkamal Iyer & Asim Ijaz Khwaja & Erzo F. P. Luttmer & Kelly Shue, 2016. "Screening Peers Softly: Inferring the Quality of Small Borrowers," Management Science, INFORMS, vol. 62(6), pages 1554-1577, June.
    2. Suri, Tavneet & Bharadwaj, Prashant & Jack, William, 2021. "Fintech and household resilience to shocks: Evidence from digital loans in Kenya," Journal of Development Economics, Elsevier, vol. 153(C).
    3. Sumit Agarwal & Thomas Kigabo & Camelia Minoiu & Andrea F. Presbitero & André F. Silva, 2023. "Serving the Underserved: Microcredit as a Pathway to Commercial Banks," The Review of Economics and Statistics, MIT Press, vol. 105(4), pages 780-797, July.
    4. Thakor, Anjan, 2020. "Corrigendum to: Fintech and Banking: What Do We Know?," Journal of Financial Intermediation, Elsevier, vol. 43(C).
    5. Yiping Huang & Ms. Longmei Zhang & Zhenhua Li & Han Qiu & Tao Sun & Xue Wang, 2020. "Fintech Credit Risk Assessment for SMEs: Evidence from China," IMF Working Papers 2020/193, International Monetary Fund.
    6. Baele, Lieven & Farooq, Moazzam & Ongena, Steven, 2014. "Of religion and redemption: Evidence from default on Islamic loans," Journal of Banking & Finance, Elsevier, vol. 44(C), pages 141-159.
    7. Martin C. Schmalz & David A. Sraer & David Thesmar, 2017. "Housing Collateral and Entrepreneurship," Journal of Finance, American Finance Association, vol. 72(1), pages 99-132, February.
    8. Jon Frost & Leonardo Gambacorta & Yi Huang & Hyun Song Shin & Pablo Zbinden, 2019. "BigTech and the changing structure of financial intermediation," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 34(100), pages 761-799.
    9. Patrick Bolton & Xavier Freixas & Leonardo Gambacorta & Paolo Emilio Mistrulli, 2016. "Relationship and Transaction Lending in a Crisis," The Review of Financial Studies, Society for Financial Studies, vol. 29(10), pages 2643-2676.
    10. Thakor, Anjan V., 2020. "Fintech and banking: What do we know?," Journal of Financial Intermediation, Elsevier, vol. 41(C).
    11. Andreas Fuster & Paul Goldsmith‐Pinkham & Tarun Ramadorai & Ansgar Walther, 2022. "Predictably Unequal? The Effects of Machine Learning on Credit Markets," Journal of Finance, American Finance Association, vol. 77(1), pages 5-47, February.
    12. René M. Stulz, 2019. "FinTech, BigTech, and the Future of Banks," Journal of Applied Corporate Finance, Morgan Stanley, vol. 31(4), pages 86-97, December.
    13. Jean‐Noël Barrot & Ramana Nanda, 2020. "The Employment Effects of Faster Payment: Evidence from the Federal Quickpay Reform," Journal of Finance, American Finance Association, vol. 75(6), pages 3139-3173, December.
    14. Tobias Berg & Valentin Burg & Ana Gombović & Manju Puri, 2020. "On the Rise of FinTechs: Credit Scoring Using Digital Footprints," The Review of Financial Studies, Society for Financial Studies, vol. 33(7), pages 2845-2897.
    15. J. David Brown & John S. Earle, 2017. "Finance and Growth at the Firm Level: Evidence from SBA Loans," Journal of Finance, American Finance Association, vol. 72(3), pages 1039-1080, June.
    16. Beck, Thorsten & Degryse, Hans & De Haas, Ralph & van Horen, Neeltje, 2018. "When arm's length is too far: Relationship banking over the credit cycle," Journal of Financial Economics, Elsevier, vol. 127(1), pages 174-196.
    17. Valentina Brailovskaya & Pascaline Dupas & Jonathan Robinson, 2024. "Is Digital Credit Filling a Hole or Digging a Hole? Evidence from Malawi," The Economic Journal, Royal Economic Society, vol. 134(658), pages 457-484.
    18. Abhijit Banerjee & Dean Karlan & Jonathan Zinman, 2015. "Six Randomized Evaluations of Microcredit: Introduction and Further Steps," American Economic Journal: Applied Economics, American Economic Association, vol. 7(1), pages 1-21, January.
    19. 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.
    20. Marco Di Maggio & Vincent Yao, 2021. "Fintech Borrowers: Lax Screening or Cream-Skimming?," The Review of Financial Studies, Society for Financial Studies, vol. 34(10), pages 4565-4618.
    21. Petersen, Mitchell A & Rajan, Raghuram G, 1994. "The Benefits of Lending Relationships: Evidence from Small Business Data," Journal of Finance, American Finance Association, vol. 49(1), pages 3-37, March.
    22. Besanko, David & Thakor, Anjan V., 1987. "Competitive equilibrium in the credit market under asymmetric information," Journal of Economic Theory, Elsevier, vol. 42(1), pages 167-182, June.
    23. Giulio Cornelli & Jon Frost & Leonardo Gambacorta & Raghavendra Rau & Robert Wardrop & Tania Ziegler, 2020. "Fintech and big tech credit: a new database," BIS Working Papers 887, Bank for International Settlements.
    24. Gambacorta, Leonardo & Huang, Yiping & Qiu, Han & Wang, Jingyi, 2024. "How do machine learning and non-traditional data affect credit scoring? New evidence from a Chinese fintech firm," Journal of Financial Stability, Elsevier, vol. 73(C).
    25. Berger, Allen N & Udell, Gregory F, 1992. "Some Evidence on the Empirical Significance of Credit Rationing," Journal of Political Economy, University of Chicago Press, vol. 100(5), pages 1047-1077, October.
    26. Berger, Allen N & Udell, Gregory F, 1995. "Relationship Lending and Lines of Credit in Small Firm Finance," The Journal of Business, University of Chicago Press, vol. 68(3), pages 351-381, July.
    27. Dorfleitner, Gregor & Priberny, Christopher & Schuster, Stephanie & Stoiber, Johannes & Weber, Martina & de Castro, Ivan & Kammler, Julia, 2016. "Description-text related soft information in peer-to-peer lending – Evidence from two leading European platforms," Journal of Banking & Finance, Elsevier, vol. 64(C), pages 169-187.
    28. Geraldo Cerqueiro & Steven Ongena & Kasper Roszbach, 2016. "Collateralization, Bank Loan Rates, and Monitoring," Journal of Finance, American Finance Association, vol. 71(3), pages 1295-1322, June.
    29. Stiglitz, Joseph E & Weiss, Andrew, 1981. "Credit Rationing in Markets with Imperfect Information," American Economic Review, American Economic Association, vol. 71(3), pages 393-410, June.
    30. Degryse, Hans & Kim, Moshe & Ongena, Steven, 2009. "Microeconometrics of Banking Methods, Applications, and Results," OUP Catalogue, Oxford University Press, number 9780195340471.
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    Cited by:

    1. Cuadros-Solas, Pedro J. & Cubillas, Elena & Salvador, Carlos, 2023. "Does alternative digital lending affect bank performance? Cross-country and bank-level evidence," International Review of Financial Analysis, Elsevier, vol. 90(C).
    2. Ozili, Peterson K, 2024. "Digital Innovations for Increasing Financial Inclusion: CBDC, Cryptocurrency, Embedded finance, Artificial Intelligence, WaaS, Fintech, Bigtech, and DeFi," MPRA Paper 121848, University Library of Munich, Germany.
    3. Gambacorta, Leonardo & Madio, Leonardo & Parigi, Bruno, 2023. "Platform Lending and Innovation," CEPR Discussion Papers 18622, C.E.P.R. Discussion Papers.
    4. Ozili, Peterson K, 2023. "Benefits of digital-only financial inclusion," MPRA Paper 118796, University Library of Munich, Germany.
    5. Dong, Yingwei & Gou, Qin & Qiu, Han, 2023. "Big tech credit score and default risk ——Evidence from loan-level data of a representative microfinance company in China," China Economic Review, Elsevier, vol. 81(C).
    6. Yiping Huang & Xiang Li & Han Qiu & Changhua Yu, 2023. "Big tech credit and monetary policy transmission: micro-level evidence from China," BIS Working Papers 1084, Bank for International Settlements.
    7. Doerr, Sebastian & Frost, Jon & Gambacorta, Leonardo & Shreeti, Vatsala, 2023. "Big techs in finance," CEPR Discussion Papers 18665, C.E.P.R. Discussion Papers.
    8. Huang, Yiping & Li, Xiang & Qiu, Han & Su, Dan & Yu, Changhua, 2024. "Bigtech credit, small business, and monetary policy transmission: Theory and evidence," IWH Discussion Papers 18/2022, Halle Institute for Economic Research (IWH), revised 2024.
    9. Agustín Carstens & Nandan Nilekani, 2024. "Finternet: the financial system for the future," BIS Working Papers 1178, Bank for International Settlements.
    10. Ayatulloh Michael Musyaffi & Razana Juhaida Johari & Christian Wiradendi Wolor & Amer Azlan Abdul Jamal & Anaya Zahra Santika & Muhammad Arifsyah Arifi, 2023. "The Innovativeness and Value of Quick Response Code Payment for MSMEs: The Influence of Security-Related Factor," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 6, pages 89-107.

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    More about this item

    Keywords

    big tech; big data; QR code; banks; asymmetric information; financial inclusion; credit markets.;
    All these keywords.

    JEL classification:

    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • G31 - Financial Economics - - Corporate Finance and Governance - - - Capital Budgeting; Fixed Investment and Inventory Studies
    • R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General

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