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

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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.

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Acknowledgements

This study is funded by the National Science Foundation of China (Project No. 71302008 and 71471125).

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Authors and Affiliations

  1. Research Center for Smarter Supply Chain, Soochow Think Tank & Dongwu Business School, Soochow University, Suzhou, China

    Dongyu Chen & Fujun Lai

  2. College of Business and Economics, Towson University, Towson, USA

    Xiaolin Li

  3. College of Business, University of Southern Mississippi, Long Beach, MS, 39560, USA

    Fujun Lai

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  1. Dongyu Chen
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  2. Xiaolin Li
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Correspondence to Fujun Lai.

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Chen, D., Li, X. & Lai, F. Gender discrimination in online peer-to-peer credit lending: evidence from a lending platform in China. Electron Commer Res 17, 553–583 (2017). https://doi.org/10.1007/s10660-016-9247-2

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