Gender gap in peer-to-peer lending: Evidence from China

被引:65
|
作者
Chen, Xiao [1 ,2 ]
Huang, Bihong [3 ]
Ye, Dezhu [4 ]
机构
[1] Chinese Univ Hong Kong, Sch Management & Econ, 2001 Longxiang Ave, Shenzhen 518172, Peoples R China
[2] Univ Sci & Technol China, Sch Management, Hefei, Peoples R China
[3] Asian Dev Bank Inst, Chiyoda Ku, Kasumigaseki Bldg 8F,3-2-5 Kasumigaseki, Tokyo 1006008, Japan
[4] Jinan Univ, Sch Econ, 601 Huangpu Ave West, Guangzhou 510632, Peoples R China
关键词
P2P lending; Gender gap; Loan performance; SUB-SAHARAN AFRICA; CREDIT EVIDENCE; SELECTION BIAS; RISK-TAKING; DISCRIMINATION; ACCESS; WOMEN; COMPETITION; MATTER; INFORMATION;
D O I
10.1016/j.jbankfin.2019.105633
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
This paper documents and analyzes the gender gap in the online credit market. Using data from Renrendai, a leading peer-to-peer lending platform in China, we show that lending to female borrowers is associated with better loan performance, including a lower probability of default, a higher expected profit, and a lower expected loss than for their male peers. However, despite the higher creditworthiness, we don't find any measurable gender impact on funding success rate, meaning that female borrowers have to compensate lenders by providing higher profitability to achieve a similar funding probability. These evidences indicate the existence of a gender gap that discriminate against female borrowers. Further analysis implies that this gender gap is independent of the amount of information disclosed by borrowers. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页数:16
相关论文
共 50 条
  • [41] Bankruptcy Exemption and Peer-to-Peer Lending
    Zhang, Luxiu
    Zhao, Ruirui
    Wang, Bo
    Wang, Haizhi
    Zhao, Tianyu
    EMERGING MARKETS FINANCE AND TRADE, 2022, 58 (03) : 863 - 882
  • [42] Is blockchain a cure for peer-to-peer lending?
    Yan, Wangcheng
    Zhou, Wenjun
    ANNALS OF OPERATIONS RESEARCH, 2023, 321 (1-2) : 693 - 716
  • [43] Mass shootings and peer-to-peer lending
    Garcia, Raffi E.
    Li, Sen
    Al Mahmud, Abdullah
    FINANCE RESEARCH LETTERS, 2022, 47
  • [44] Credit Scoring for Peer-to-Peer Lending
    Ahelegbey, Daniel Felix
    Giudici, Paolo
    RISKS, 2023, 11 (07)
  • [45] Who can get money? Evidence from the Chinese peer-to-peer lending platform
    Qizhi Tao
    Yizhe Dong
    Ziming Lin
    Information Systems Frontiers, 2017, 19 : 425 - 441
  • [46] Air pollution and online lender behavior: Evidence from Chinese peer-to-peer lending
    Chen, Xiao
    Guo, Gangxing
    JOURNAL OF BEHAVIORAL AND EXPERIMENTAL FINANCE, 2024, 42
  • [47] Disparity and discrimination in consumer credit markets: Evidence from online peer-to-peer lending
    Jiang, Yu
    Fang, Xianming
    Wang, Zijun
    PACIFIC-BASIN FINANCE JOURNAL, 2024, 83
  • [48] Who can get money? Evidence from the Chinese peer-to-peer lending platform
    Tao, Qizhi
    Dong, Yizhe
    Lin, Ziming
    INFORMATION SYSTEMS FRONTIERS, 2017, 19 (03) : 425 - 441
  • [49] Safety promise, moral hazard and financial supervision: Evidence from peer-to-peer lending
    Zhu, Zongyuan
    FINANCE RESEARCH LETTERS, 2018, 27 : 1 - 5
  • [50] Search and herding effects in peer-to-peer lending: Evidence from prosper.com
    Berkovich E.
    Annals of Finance, 2011, 7 (3) : 389 - 405