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Survival or die: a survival analysis on peer‐to‐peer lending platforms in China

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  • Qigui Liu
  • Luxi Zou
  • Xiaolin Yang
  • Jinghua Tang

Abstract

This study examines the probability of survival of online peer‐to‐peer (P2P) lending platforms in China. Our empirical findings show that shareholder's background, platforms’ risk management and institutional environment are three major factors that influence the probability of survival of P2P platforms in China. In addition, the effects of risk control and institutional environment are less pronounced in state‐owned P2P platforms. We also show that platforms that die from abscondence of owners tend to be more short‐lived than others, while platforms that die from liquidity problems are usually due to lack of high‐quality risk management techniques.

Suggested Citation

  • Qigui Liu & Luxi Zou & Xiaolin Yang & Jinghua Tang, 2019. "Survival or die: a survival analysis on peer‐to‐peer lending platforms in China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 59(S2), pages 2105-2131, November.
    • Handle: RePEc:bla:acctfi:v:59:y:2019:i:s2:p:2105-2131
    DOI: 10.1111/acfi.12513
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    Cited by:

    1. Babak Naysary & Siti Nurbaayah Daud, 2021. "Peer to Peer Lending Industry in China and Its Implication on Economic Indicators: Testing the Mediating Impact of SMEs Performance," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 12(2), pages 106-114, April.
    2. Ying Liu & Rui Wang & Jin Qin, 2021. "CEO influence on P2P platform survival: Education and experience do matter!," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(3), pages 622-634, April.
    3. Li, Jianwen, 2023. "MSMEs meet FinTech: Chance or challenge?," Finance Research Letters, Elsevier, vol. 57(C).
    4. Natnara Chulawate & Supaporn Kiattisin, 2023. "Success Factors Influencing Peer-to-Peer Lending to Support Financial Innovation," Sustainability, MDPI, vol. 15(5), pages 1-16, February.
    5. Yanyan Cui & Lixin Liu, 2022. "Investor sentiment-aware prediction model for P2P lending indicators based on LSTM," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-17, January.

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