财经论丛 ›› 2017, Vol. 33 ›› Issue (11): 33-42.

• 金融与投资 • 上一篇    下一篇

信息披露、投资偏好与大众创业的互联网金融支持——基于人人贷数据的研究

王子敏1, 李婵娟1, 季仁春2   

  1. 1.南京邮电大学经济学院,江苏 南京 210023;
    2.中国农业银行南通分行,江苏 南通 226300
  • 收稿日期:2016-12-16 出版日期:2017-11-10 发布日期:2017-11-10
  • 作者简介:王子敏(1981-),男,山东淄博人,南京邮电大学经济学院副教授; 李婵娟(1986-),女,山东济南人,南京邮电大学经济学院讲师; 季仁春(1975-),男,江苏南通人,中国农业银行南通分行中级经济师。
  • 基金资助:
    国家社会科学基金青年项目(14CTQ019);江苏省社科基金专项课题(14SZB021);江苏省社科应用研究精品工程(16SYB-015)

Information Disclosure, Investment Bias and Internet Loan Support for Mass Entrepreneurs——An Analysis based on RENREN DAI

WANG Zimin1, LI Chanjuan1, JI Renchun2   

  1. 1.School of Economics, Nanjing University of Posts and Telecommunications, Nanjing 210023, China;
    2.Nantong Branch, Agricultural Bank of China, Nantong 226300, China
  • Received:2016-12-16 Online:2017-11-10 Published:2017-11-10

摘要: 基于抓取的P2P网贷平台人人贷中借款目的为“企业用途”的数据,在文献梳理基础上,建立二元逻辑回归方程,对小微企业在互联网融资过程中投资者形成的身份偏好问题进行了研究。通过将借款人身份分为工薪阶层和小微企业主两类,发现投资者存在对借款人的身份歧视现象,进而从信息披露的角度提出相应的解释。研究认为,由于信息披露不足与信息不可信,投资者认为具备“小微企业主”这一身份的借款人的借款存在较高的风险,从而形成了投资者更愿意支持“工薪阶层”借款的投资偏好。基于上述研究结论,从P2P网贷平台和政府部门的角度,提出了相应的政策建议。

关键词: 信息披露, 风险, 身份偏好, 人人贷

Abstract: Based on the data collected from the online loan platform RENREN DAI and literature review, this paper sets up binary Logistic Regression models to calculate the investment bias of investors in the creation and growing of startups between two kinds of borrowers, the salaried persons and small and micro businesses owners, and interpretations are presented to explain the bias from information disclosure aspect. The conclusions are as follows: Due to the information scarcity and low reliability of information about businesses owners, their borrowings are deemed as of high risk, and a rational investment bias in favor of salaried persons is thus formed. Based on the conclusions, some suggestions are presented from the prospectives of othe the P2P platform and the government.

Key words: Information Disclosure, Risk, Identity Bias, RENREN DAI

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