Research on the Enterprise Credit Risk Rating System in Supply Chain Finance Based on Jingdong

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Abstract

In recent years, with the rapid development of Internet in our country and the continuous expansion of the trading volume of e-commerce, supply chain finance came into being. The supply chain financing has not only found a new way out for SME financing difficulties, but also enhanced the stability of the overall operation of the supply chain. Therefore, this article focuses on the management of corporate credit risk under the supply chain finance model. Firstly, we select the economic data of 120 listed SMEs in China as the research sample in 2016, and establish the corresponding credit risk evaluation model by using principal component analysis and Logistic regression. Further, this paper takes Jingdong as an example, uses the model to measure its credit risk, and compares the probability of Jingdong compliance with the supply chain finance financing model and the traditional bank credit model. There is a credit rating system to improve the creditworthiness and financing ability of Chinese enterprises and provide more reference ideas for the healthy development of supply chain finance in our country.
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基于京东的供应链金融企业信用风险评级体系研究
近年来,随着我国互联网的快速发展和电子商务交易额的不断扩大,供应链金融应运而生。供应链融资不仅为中小企业融资难找到了新的出路,而且增强了供应链整体运行的稳定性。因此,本文主要研究供应链金融模式下的企业信用风险管理。首先,选取2016年中国120家上市中小企业的经济数据作为研究样本,运用主成分分析和Logistic回归建立相应的信用风险评价模型。进一步,本文以京东为例,运用该模型对其信用风险进行测度,并比较了京东采用供应链金融融资模式和传统银行信贷模式的合规概率。有了信用评级体系,可以提高我国企业的信誉度和融资能力,为我国供应链金融的健康发展提供更多的参考思路。
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