农业产业化龙头企业信用风险评价的改进——基于农村金融联结视角  

Evaluation Improvement of Leading Enterprises' Credit Risk in Rural Financial Linkage in Agricultural Industrialization

作　　者：李延敏[1] 章敏[1] LI Yan-min ZHANG Min(School of Economies, Oeean University of China, Qingdao 266100, China)

机构地区：[1]中国海洋大学经济学院,山东青岛266100

出　　处：《农林经济管理学报》2016年第5期532-538,共7页Journal of Agro-Forestry Economics and Management

基　　金：山东省软科学研究计划项目(2013RKE29008)

摘　　要：参与农村金融联结改变了农业产业化龙头企业的信用风险状况,商业银行如何识别企业信用风险是金融联结实现的前提。研究发现KMV模型能够识别参与农村金融联结企业的信用风险,参与联结对企业信用风险的影响取决于:企业的风险管理能力和农户贷款的系统性风险水平。研究结论为评价金融联结中介的风险提供了新的思路,提高了商业银行参与农村联结的可操作性,以及农村金融联结的推广。The credit risk of the enterprise would be changed,and commercial banks＇ abilities to identify such enterprise credit risk is the precondition of financial link implementation. The KMV model can identify credit risk of leading agricultural enterprises in rural financial linkage. The effect of participation coupling on the default risk of enterprises depends onenterprise risk management ability and the systemic risk of farming households＇ loans.The conclusion from the research is helpful to improve the ability of the commercial banks to participate in rural coupling agents.

关 键 词：农村金融联结 信用风险 农业产业化龙头企业 KMV模型 

分 类 号：F222.1[经济管理—国民经济]