Research on the Interest Connection between Tianjin Agricultural Park and Farmers

Abstract

Based on the survey sample data of the interest linkage between agricultural parks and farmers in Tianjin, the binary logistic regression model and ordinal logistic regression were used to empirically analyze the influencing factors of farmers’ income increase. The binary logistic regression model shows that the number of labor force, whether engaged in leading industries, the way of selling agricultural products, the agreed quality in the contract have a significant impact on whether farmers can increase their income. Combined with the ordinal logistic regression model, it is concluded that experience and knowledge, engaged in leading industries, agricultural products sales methods of supply supermarkets have a significant positive impact on the continuous promotion of income increase. According to the results of empirical analysis, this paper further analyzes the factor matching problem in the interest connection between agricultural parks and farmers from the perspective of factors, and puts forward the optimization path to give full play to the important role of agricultural parks in continuously promoting the rural revitalization strategy and increasing farmers’ income.