Crowdfunding innovations in emerging economies: Risk and credit control in peer-to-peer lending network platforms

Nisar, Tahir M.; Prabhakar, Guru; Torchia, Mariateresa

Abstract

Peer‐to‐peer (P2P) lending has emerged as a network form of crowdfunding that facilitates the loan originations outside the traditional banking model. In China, the combination of imperfect financial development and Internet technology has led to the widespread growth of a P2P network lending market. Using the theoretical lens of information asymmetry, we identify the key sources of risks facing contemporary Chinese P2P companies. Results from our two regression models reveal several factors that can be used as predictors for risk and financial management, including marriage, income, and house property. Our findings also show that collective inference by non‐expert lenders can accurately draw an inference from soft/nonstandard information. The construction of such a predictive system is important for ensuring the good operation of P2P network lending platforms in emerging economies.

Citation

Nisar, T. M., Prabhakar, G., & Torchia, M. (2020). Crowdfunding innovations in emerging economies: Risk and credit control in peer-to-peer lending network platforms. Strategic Change, 29(3), 355-361. https://doi.org/10.1002/jsc.2334

• Journal Article Type: Article
• Acceptance Date: Mar 16, 2020
• Online Publication Date: May 4, 2020
• Publication Date: May 4, 2020
• Deposit Date: May 13, 2020
• Publicly Available Date: May 5, 2022
• Journal: Strategic Change
• Print ISSN: 1086-1718
• Electronic ISSN: 1099-1697
• Publisher: Wiley
• Peer Reviewed: Peer Reviewed
• Volume: 29
• Issue: 3
• Pages: 355-361
• DOI: https://doi.org/10.1002/jsc.2334
• Keywords: Peer-to-peer (P2P) lending; Information asymmetry; Risk; Credit control; Soft/nonstandard information; Chinese P2P enterprises
• Public URL: https://uwe-repository.worktribe.com/output/5973677