Gender discrimination in online peer-to-peer credit lending: evidence from a lending platform in China

Dongyu Chen (), Xiaolin Li () and Fujun Lai ()
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Dongyu Chen: Soochow University
Xiaolin Li: Towson University
Fujun Lai: Soochow University

Electronic Commerce Research, 2017, vol. 17, issue 4, No 1, 553-583

Abstract: Abstract Gender discrimination in accessing financial resources is a mounting concern in developing countries, but empirical evidence of such discrimination is limited. Using data collected from one of the largest peer-to-peer (P2P) lending platforms in China, we investigate potential gender discrimination in online P2P credit lending market in China. The results illustrate that female borrowers are more likely to be funded than male borrowers; but in exchange for higher funding success, female borrowers are found to pay higher interest rates. Moreover, the default rates of loans from female borrowers are significantly lower than those from male borrowers. Finally, we found that a borrower’s gender moderates the relationships between the borrower’ attributes and lending outcomes. The findings imply that profit-based statistical discrimination and costly taste-based discrimination co-exist in this online peer-to-peer lending market, but the underlying reasons for the discriminations are different. The implications for research and practice along with the limitations of this study are discussed accordingly.

Keywords: Gender discrimination; Online peer-to-peer lending; Micro-finance (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (25)

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DOI: 10.1007/s10660-016-9247-2

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