IDEAS home Printed from https://ideas.repec.org/a/eee/pacfin/v78y2023ics0927538x23000355.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0927538X23000355
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.pacfin.2023.101969?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    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. repec:bla:jfinan:v:59:y:2004:i:2:p:831-868 is not listed on IDEAS
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wang, Xiaoting & Hou, Siyuan & Kyaw, Khine & Xue, Xupeng & Liu, Xueqin, 2023. "Exploring the determinants of Fintech Credit: A comprehensive analysis," Economic Modelling, Elsevier, vol. 126(C).
    2. Tang, Mengxuan & Hou, Yang (Greg) & Goodell, John W. & Hu, Yang, 2024. "Fintech and corporate risk-taking: Evidence from China," Finance Research Letters, Elsevier, vol. 64(C).
    3. Mingyue Xie & Suning Zhao & Kun Lv, 2024. "The Impact of Green Finance and Financial Technology on Regional Green Energy Technological Innovation Based on the Dual Machine Learning and Spatial Econometric Models," Energies, MDPI, vol. 17(11), pages 1-27, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhitao, Wang & Xiang, Ma, 2023. "Financial mismatch on corporate debt default risk: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 80(C).
    2. Wang, Jinbo & Ran, Maosheng & Huang, Qing & Li, Wanli, 2022. "Nationalization of private enterprises and default risk: Evidence from mixed-ownership reform in China," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 534-553.
    3. Ji, Yu & Shi, Lina & Zhang, Shunming, 2022. "Digital finance and corporate bankruptcy risk: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 72(C).
    4. Bai, Qing & Tian, Shaonan, 2020. "Innovate or die: Corporate innovation and bankruptcy forecasts," Journal of Empirical Finance, Elsevier, vol. 59(C), pages 88-108.
    5. Ahsan Habib & Mabel D' Costa & Hedy Jiaying Huang & Md. Borhan Uddin Bhuiyan & Li Sun, 2020. "Determinants and consequences of financial distress: review of the empirical literature," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(S1), pages 1023-1075, April.
    6. Fang, Yi & Wang, Qi & Wang, Fan & Zhao, Yang, 2023. "Bank fintech, liquidity creation, and risk-taking: Evidence from China," Economic Modelling, Elsevier, vol. 127(C).
    7. Duc Hong Vo & Binh Ninh Vo Pham & Chi Minh Ho & Michael McAleer, 2019. "Corporate Financial Distress of Industry Level Listings in Vietnam," JRFM, MDPI, vol. 12(4), pages 1-17, September.
    8. Ampudia, Miguel & Busetto, Filippo & Fornari, Fabio, 2022. "Chronicle of a death foretold: does higher volatility anticipate corporate default?," Working Paper Series 2749, European Central Bank.
    9. Vo, D.H. & Pham, B.V.-N. & Pham, T.V.-T. & McAleer, M.J., 2019. "Corporate Financial Distress of Industry Level Listings in an Emerging Market," Econometric Institute Research Papers EI2019-15, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    10. Surbhi Bhatia & Manish K. Singh, 2022. "Fifty years since Altman (1968): Performance of financial distress prediction models," Working Papers 12, xKDR.
    11. Hyeongjun Kim & Hoon Cho & Doojin Ryu, 2022. "Corporate Bankruptcy Prediction Using Machine Learning Methodologies with a Focus on Sequential Data," Computational Economics, Springer;Society for Computational Economics, vol. 59(3), pages 1231-1249, March.
    12. Erika KOVALOVA, 2019. "Predictive Models Of Corporate Insolvency Risks," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 13(1), pages 989-995, November.
    13. B Korcan Ak & Patricia M Dechow & Yuan Sun & Annika Yu Wang, 2013. "The use of financial ratio models to help investors predict and interpret significant corporate events," Australian Journal of Management, Australian School of Business, vol. 38(3), pages 553-598, December.
    14. Chien-Min Kang & Ming-Chieh Wang & Lin Lin, 2022. "Financial Distress Prediction of Cooperative Financial Institutions—Evidence for Taiwan Credit Unions," IJFS, MDPI, vol. 10(2), pages 1-25, April.
    15. Alam, Nurul & Gao, Junbin & Jones, Stewart, 2021. "Corporate failure prediction: An evaluation of deep learning vs discrete hazard models," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
    16. Ampudia, Miguel & Busetto, Filippo & Fornari, Fabio, 2022. "Chronicle of a death foretold: does higher volatility anticipate corporate default?," Bank of England working papers 1001, Bank of England.
    17. Mohammad Mahdi Mousavi & Jamal Ouenniche, 2018. "Multi-criteria ranking of corporate distress prediction models: empirical evaluation and methodological contributions," Annals of Operations Research, Springer, vol. 271(2), pages 853-886, December.
    18. Elizabeth Gutierrez & Jake Krupa & Miguel Minutti-Meza & Maria Vulcheva, 2020. "Do going concern opinions provide incremental information to predict corporate defaults?," Review of Accounting Studies, Springer, vol. 25(4), pages 1344-1381, December.
    19. Jackson, Richard H.G. & Wood, Anthony, 2013. "The performance of insolvency prediction and credit risk models in the UK: A comparative study," The British Accounting Review, Elsevier, vol. 45(3), pages 183-202.
    20. Bhanu Pratap Singh & Alok Kumar Mishra, 2016. "Re-estimation and comparisons of alternative accounting based bankruptcy prediction models for Indian companies," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 2(1), pages 1-28, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:pacfin:v:78:y:2023:i:c:s0927538x23000355. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/pacfin .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.