Abstract: Due to the special characteristics of agricultural enterprises, their risks will be affected by various factors such as natural disasters and market price fluctuations. At the same time, they always use indirect financing, which will cause credit risks. Based on the research of credit risk of enterprises, this paper is designed to determine the credit risk measurement indicators of agricultural enterprises. In order to achieve this, we select 45 listed agricultural enterprises as the research objects and then eliminate the multicollinearity of indicators through factor analysis, and establishes Logistic model by using backward removal and stepwise backward selection methods. The model is used to measure the default probability of enterprises, and then analyze the credit risk of agricultural enterprises, and provide references for enterprises and commercial banks engaged in agricultural production.

Key words: agricultural listed companies, credit risk, factor analysis, Logistic model