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
  • [31] Why does regional information matter? evidence from peer-to-peer lending
    Wang, Tong
    Zhao, Sheng
    Shen, Xin
    EUROPEAN JOURNAL OF FINANCE, 2021, 27 (4-5): : 346 - 366
  • [32] Peer-to-peer lending and real estate mortgages: evidence from United Kingdom
    Gibilaro, Lucia
    Mattarocci, Gianluca
    JOURNAL OF EUROPEAN REAL ESTATE RESEARCH, 2018, 11 (03) : 319 - 334
  • [33] Heterogeneous Ensemble for Default Prediction of Peer-to-Peer Lending in China
    Li, Wei
    Ding, Shuai
    Chen, Yi
    Yang, Shanlin
    IEEE ACCESS, 2018, 6 : 54396 - 54406
  • [34] Exploring the spatial linkage network of peer-to-peer lending in China
    Chong, Zhaohui
    Wei, Xiaolin
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2023, 630
  • [35] Drivers of lending decision in peer-to-peer lending in Malaysia
    Khan, Mohammad Tariqul Islam
    Xuan, Yong Yee
    REVIEW OF BEHAVIORAL FINANCE, 2022, 14 (03) : 379 - 393
  • [36] Is blockchain a cure for peer-to-peer lending?
    Wangcheng Yan
    Wenjun Zhou
    Annals of Operations Research, 2023, 321 : 693 - 716
  • [37] Does Peer-to-Peer Lending Have Resilience During the COVID-19 Pandemic? Evidence From China
    Wang, Ziwei
    Yang, Haijun
    Wu, Harris
    INTERNATIONAL JOURNAL OF FINANCE & ECONOMICS, 2024,
  • [38] Whose reviews are most valuable for predicting the default risk of peer-to-peer lending platforms? Evidence from China
    Li, Liting
    Zheng, Haichao
    Chen, Dongyu
    Zhu, Bin
    ELECTRONIC COMMERCE RESEARCH, 2024, 24 (03) : 1619 - 1658
  • [39] The liquidity aspects of peer-to-peer lending
    Olvedi, Timea
    STUDIES IN ECONOMICS AND FINANCE, 2022, 39 (01) : 45 - 62
  • [40] Peer-to-Peer Lending: Opportunities and Risks
    Lenz, Rainer
    EUROPEAN JOURNAL OF RISK REGULATION, 2016, 7 (04) : 688 - 700