摘要
P2P网络借贷是互联网金融的主要业务模式之一,也是一种新型的信贷模式。不同于传统信贷模式,P2P网络借贷依托互联网技术撮合借贷双方直接完成信用交易,无须传统金融中介参与。借助人人贷平台的大数据优势,本文研究发现:中国P2P网络借贷市场存在行业偏好,具体表现为工作行业会对借款的满标率、成功率产生显著影响;进一步研究发现,该偏好其实是一种行业歧视,投资者以出借资金安全性或者损失投资预期收益为代价而选择投资于违约风险高的部分行业的借款人,即使在IT行业、金融/法律行业工作的借款人可以显著地提高投资人的福利,但其资金可得性并没有相应的提高;从解决机制来看,借款人完成工作认证、提高信息质量可以降低行业偏好,但不能消除行业歧视。
Online peer-to-peer lending is one of the mainstream services of Internet finance and a new type of credit lending.Different from the traditional credit market,peer-to-peer lending directly matches transactions between borrowers and lenders with the help of Internet technologies without traditional financial intermediaries.Based on the big data collected by renrendai.com,this paper presents that there are significant differences in the likelihood of the bid becoming full and funded among other industries and benchmarks.In other words,there is an occupational preference in Chinese online peer-to-peer lending market.Investors prefer to lend money to the borrowers working in some industries who have high default risk at the expense of security of principal or expected yield,and even if the borrowers who are working in IT,finance industries or law firms can significantly improve the yield of investors,this is not shown in their availability of funds.That is to say,there is occupational discrimination in the peer-to-peer lending market.To resolve the issue,completing the job verification and improving the information quality can reduce occupational preference,but cannot eliminate occupational discrimination in the peer-to-peer lending market.
作者
胡金焱
李建文
HU Jinyan;LI Jianwen(Qingdao University,266071)
出处
《财贸经济》
CSSCI
北大核心
2019年第7期36-51,共16页
Finance & Trade Economics
基金
国家自然科学基金面上项目“网络借贷市场风险识别、传染与防控研究:基于复杂网络理论的视角”(71873079)
国家留学基金委“国家建设高水平大学公派研究生项目”(CSC201806220110)
关键词
信贷市场
P2P网络借贷
行业偏好
行业歧视
Credit Market
Peer-to-Peer Lending
Occupational Preference
Occupational Discrimination
