Government Affiliation and Peer-To-Peer Lending Platforms in China

Jinglin Jiang, Li Liao, Zhengwei Wang and Xiaoyan Zhang ()

Journal of Empirical Finance, 2021, vol. 62, issue C, 87-106

Abstract: With thousands of co-existing and competing platforms, the Chinese peer-to-peer (P2P) lending market experienced both high growth and high failure rate. We hand collect unique data for these P2P platforms and investigate the differences in performances and survivals for platforms with and without affiliations with state-owned enterprises (SOEs). P2P platforms with SOE affiliations have higher trading volumes, attract more investors, and offer lower interest rates. These platforms also survive significantly better than those without the SOE affiliations, especially during market downturns. Using P2P platforms with fake SOE affiliations as identification, we show that the SOE affiliation itself (not related to the fundamentals) is an important signal for P2P market participants. These results can be helpful to investors and regulators, especially those from other emerging markets.

Keywords: Peer-to-peer lending platforms; Fintech; Government affiliation; State-owned enterprise; Emerging markets (search for similar items in EconPapers)
JEL-codes: G21 G28 O3 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:empfin:v:62:y:2021:i:c:p:87-106

DOI: 10.1016/j.jempfin.2021.02.004

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