| 摘要: |
| 近年来，P2P网络借贷在我国不断发展壮大，与此同时，尤其是自2016年以来，P2P网贷行业问题频发，严重破坏了国家正常的经济秩序，影响了广大投资者的信心。在中国社会整体信用环境不佳，网贷行业尚未彻底规范的情况下，对P2P网络借贷平台进行信用评级意义非凡。本文运用层次分析法构建了P2P网络借贷平台信用评级模型。首先，筛选出4大类 共18个信用评级指标和30家P2P平台。在运用层次分析法确定指标权重后，将18个指标划分为定量指标与定性指标，分别采用模糊综合评价法与专家评分法计算指标得分，并得到评级 指标的总得分。在对平台进行排名后，运用Spearman相关性分析，将平台排名与第三方评级机构对这30家P2P平台的评级排名进行对比分析，验证了本文探索的信用评级模型的有效性和应用价值。 |
| 关键词: P2P平台；信用评级；层次分析法 |
| DOI： |
| 分类号:F830.39 |
| 基金项目:国家社会科学基金项目重大项目(13&ZD148) |
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| Research on the Credit Rating of China’s Peer-to-Peer Online Lending Platform Based on the Analytic Hierarchy Process |
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ZHU Jianping ；YANG Wei1,2
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1.Master of Business Administration, Xiamen University;2.Data Mining Research Center, Xiamen University
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| Abstract: |
| In recent years, P2P network lending has been developing and expanding in China. While the P2P network lending industry has been in trouble frequently, especially since 2016, which has seriously damaged the normal economic order of the country and affected the confidence of investors. Under the circumstance of China's poor credit environment, and together with the incompletely standardized netwok lending industry, the credit rating of the P2P network lending platform is significant.This paper use AHP to construct a credit rating model of P2P network lending platform. Firstly, 4 categories of credit rating indicators and 30 P2P platforms are screened. After determining the weight of indicators by AHP, the 18 indicators are divided into quantitative indicators and qualitative indicators. Fuzzy comprehensive evaluation method and expert scoring method are used to calculate index scores respectively, and the total score of P2P network lending platform rating index is obtained. After ranking the platforms, Spearman correlation analysis is used to compare the ranking with the third-party rating agencies’ ranking of the 30 P2P platforms, which verifies the validity and application value of the credit rating model explored in this paper. |
| Key words: P2P Lending Platform; Credit Rating; Analytic Hierarchy Process |
