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Research on the Relationship between Agricultural Supply Chain Optimization and Farmers’ Income Increase Based on PLS Algorithm

By: Huiqing Zheng1
1The School of Marxism, Fujian Police College, Fuzhou, Fujian, 350007, China

Abstract

With the implementation of rural revitalization strategy, the development of agricultural supply chain is of great significance in promoting rural economic development and farmers’ income growth. Starting from the two directions of both definitions and influencing factors, the evaluation index system of both is determined, followed by proposing the use of entropy weighting method to analyze the evaluation indexes in terms of weighting and measurement. The results are set as explanatory variables, explanatory variables, in addition to supplementing the corresponding control variables, on the basis of which the partial least squares method is used to complete the construction of the regression model. Setting the data source of this research, with the help of this paper’s model to explore the mechanism of action between the two in depth. The regression coefficients of the explanatory variables and the explained variables are 0.419, 0.157, 0.216 respectively, while both of them have a positive and significant correlation at the 1% level, i.e., there is a positive correlation between the optimization of supply chain of agricultural products and the increase of farmers’ income.