Research on Early-Warning Model for Food Supply Chain Risk Based on Logistic Regression

Abstract

To find the risks in food supply chain and to take appropriate measures to guard against risks and increase capacity of food supply chain to resist risks. The paper established Logistic regression early-warning model to recognise magnitude of risks based on principal component analysis and Logistic regression analysis. An empirical analysis is carried out to test the model by take out some food enterprises randomly as analytic samples and calculate their risk indices in supply chain. The result shows this method is applicable to food supply chain risk early-warning.