Research on Factors Influencing the Collaborative Development of the Agricultural Industry System Based on the Interpretive Structural Model

The agricultural industry system involves a multitude of elements and levels, with a complex composition and diverse internal connections. This study aims to analyze various factors of the collaborative development of the agricultural industry system through the Interpretive Structural Modeling (ISM) approach, thereby revealing the inherent laws of the collaboration within the agricultural industry system. The study employs the ISM method, which is suitable for systems with numerous variables, complex relationships, and unclear structures, to conduct an internal hierarchical analysis and clustering of the indicators selected from two sources. This process results in the formation of 5 categories, totaling 20 specific factors. By applying the ISM method, the study distinguishes the influencing factors of the collaborative development of the agricultural industry system under the agricultural park model into deep-level, middle-level, and superficial-level factors. This not only reflects the hierarchical relationships among the influencing factors but also clarifies the relationships between the factors affecting the collaborative development of the agricultural industry system under the agricultural park model. It confirms the direct impact of agricultural circulation, agricultural aggregation, and the operation model of agricultural industrial parks on the collaborative development of the agricultural industry system. The study provides a basis for an in-depth analysis of the mechanisms and operational dynamics of the collaborative development of the agricultural industry system under the agricultural park model.