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The power of technology: FinTech and corporate debt default risk in China

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  • Nie, Zi
  • Ling, Xuan
  • Chen, Meian

Abstract

With the economic downward pressure increasing and the COVID-19 spreading, avoiding the corporate debt default risk is a basic requirement for achieving high-quality economic development in China. Can FinTech empower traditional finance and contribute to the healthy development? We explore the impact of FinTech on corporate debt default risk. The findings suggest that FinTech reduces the corporate debt default risk. And the impact is more pronounced in non-SOEs and in firms with small-scale and in the growth and maturity stages. Further analysis shows that financial supervision plays a role in strengthening the negative impact of FinTech on the corporate debt default risk. Therefore, FinTech development should be actively promoted and corresponding regulatory measures should be formulated, then the finance can better serve the real economy and achieve high-quality development in China.

Suggested Citation

  • Nie, Zi & Ling, Xuan & Chen, Meian, 2023. "The power of technology: FinTech and corporate debt default risk in China," Pacific-Basin Finance Journal, Elsevier, vol. 78(C).
    • Handle: RePEc:eee:pacfin:v:78:y:2023:i:c:s0927538x23000355
    DOI: 10.1016/j.pacfin.2023.101969
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    as
    1. Brogaard, Jonathan & Li, Dan & Xia, Ying, 2017. "Stock liquidity and default risk," Journal of Financial Economics, Elsevier, vol. 124(3), pages 486-502.
    2. Hsu, Po-Hsuan & Lee, Hsiao-Hui & Liu, Alfred Zhu & Zhang, Zhipeng, 2015. "Corporate innovation, default risk, and bond pricing," Journal of Corporate Finance, Elsevier, vol. 35(C), pages 329-344.
    3. 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.
    4. Gupta, Kartick & Banerjee, Rajabrata & Onur, Ilke, 2017. "The effects of R&D and competition on firm value: International evidence," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 391-404.
    5. Afees A. Salisu & Idris A. Adediran & Rangan Gupta, 2022. "A Note on the COVID-19 Shock and Real GDP in Emerging Economies," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 58(1), pages 93-101, January.
    6. Edward I. Altman, 1968. "The Prediction Of Corporate Bankruptcy: A Discriminant Analysis," Journal of Finance, American Finance Association, vol. 23(1), pages 193-194, March.
    7. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure - Reply," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 123-127.
    8. 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.
    9. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 71-111.
    10. Rui Wang & Jiangtao Liu & Hang(Robin) Luo, 2021. "Fintech development and bank risk taking in China," The European Journal of Finance, Taylor & Francis Journals, vol. 27(4-5), pages 397-418, March.
    11. Shikong (Scott) Luo, 2019. "Credit Misallocation, Endogenous TFP Changes, and Economic Fluctuation in China," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 55(9), pages 1909-1925, July.
    12. Maria Demertzis & Silvia Merler & Guntram B Wolff, 2018. "Capital Markets Union and the Fintech Opportunity," Journal of Financial Regulation, Oxford University Press, vol. 4(1), pages 157-165.
    13. Mingfeng Lin & Nagpurnanand R. Prabhala & Siva Viswanathan, 2013. "Judging Borrowers by the Company They Keep: Friendship Networks and Information Asymmetry in Online Peer-to-Peer Lending," Management Science, INFORMS, vol. 59(1), pages 17-35, August.
    14. Yin, Zhichao & Gong, Xue & Guo, Peiyao & Wu, Tao, 2019. "What Drives Entrepreneurship in Digital Economy? Evidence from China," Economic Modelling, Elsevier, vol. 82(C), pages 66-73.
    15. Gehringer, Agnieszka, 2013. "Growth, productivity and capital accumulation: The effects of financial liberalization in the case of European integration," International Review of Economics & Finance, Elsevier, vol. 25(C), pages 291-309.
    16. Kejing Chen & Wenqi Guo & Yanling Kang & Jing Wang, 2022. "Does the Deleveraging Policy Increase the Risk of Corporate Debt Default: Evidence from China," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 58(3), pages 601-613, February.
    17. Muhammad Atif & Searat Ali, 2021. "Environmental, social and governance disclosure and default risk," Business Strategy and the Environment, Wiley Blackwell, vol. 30(8), pages 3937-3959, December.
    18. Narayan, Paresh Kumar, 2021. "COVID-19 research outcomes: An agenda for future research," Economic Analysis and Policy, Elsevier, vol. 71(C), pages 439-445.
    19. Shu-Mei Chiang & Huimin Chung & Chien-Ming Huang & Robert Faff, 2015. "A note on board characteristics, ownership structure and default risk in Taiwan," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 55(1), pages 57-74, March.
    20. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    21. Cenni, Stefano & Monferrà, Stefano & Salotti, Valentina & Sangiorgi, Marco & Torluccio, Giuseppe, 2015. "Credit rationing and relationship lending. Does firm size matter?," Journal of Banking & Finance, Elsevier, vol. 53(C), pages 249-265.
    22. Sauro Mocetti & Marcello Pagnini & Enrico Sette, 2017. "Information Technology and Banking Organization," Journal of Financial Services Research, Springer;Western Finance Association, vol. 51(3), pages 313-338, June.
    23. Sutherland, Andrew, 2018. "Does credit reporting lead to a decline in relationship lending? Evidence from information sharing technology," Journal of Accounting and Economics, Elsevier, vol. 66(1), pages 123-141.
    24. Lars-Alexander Kuehn & Lukas Schmid, 2014. "Investment-Based Corporate Bond Pricing," Journal of Finance, American Finance Association, vol. 69(6), pages 2741-2776, December.
    25. Faleye, Olubunmi & Kovacs, Tunde & Venkateswaran, Anand, 2014. "Do Better-Connected CEOs Innovate More?," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 49(5-6), pages 1201-1225, December.
    26. Maria Vassalou & Yuhang Xing, 2004. "Default Risk in Equity Returns," Journal of Finance, American Finance Association, vol. 59(2), pages 831-868, April.
    27. Norden, Lars & Silva Buston, Consuelo & Wagner, Wolf, 2014. "Financial innovation and bank behavior: Evidence from credit markets," Journal of Economic Dynamics and Control, Elsevier, vol. 43(C), pages 130-145.
    28. Sreedhar T. Bharath & Tyler Shumway, 2008. "Forecasting Default with the Merton Distance to Default Model," The Review of Financial Studies, Society for Financial Studies, vol. 21(3), pages 1339-1369, May.
    29. Isabel Abinzano & Pilar Corredor & Beatriz Martinez, 2021. "Does family ownership always reduce default risk?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(3), pages 4025-4060, September.
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