[关键词]
[摘要]
文中从行业供应链视角,以钢铁行业和医药流通行业供应链中上市企业市场数据为研究对象。上市公司信用风险大小以KMV模型中的违约距离值代替。此外,利用Apriori算法挖掘上市公司信用风险传染的关联规则。研究结果表明: 医药流通行业供应链中企业信用风险传染频率和传染强度均高于钢铁行业供应链中企业；供应链中上下游企业整合以及信用技术引进是影响供应链企业信用风险传染重要影响因素。
[Key word]
[Abstract]
From the perspective of the supply chain industry, this paper study the market data of the listed companies, selecting from the steel industry and the pharmaceutical distribution industry ,which come from the same supply chain. the credit risk indicators of listed companies are measured by the distance to default calculated through KMV computational method．Besides,Apriori algorithm is used to dig the transmission of credit risk between the listed companies The result indicate that: Compared with the steel industry supply chain, the frequency and intensity of supply chain credit risk contagion were higher in pharmaceutical distribution industry supply chain; Supply chain integration and information sharing in the supply chain are important influence factors for reducing credit risk contagion between the enterprises in supply chain.
[中图分类号]
F274
[基金项目]
国家自然科学基金资助项目(70971036)；省社科基金一般项目(12299)
