The Influence of Country Risks on the International Agricultural Trade Patterns Based on Network Analysis and Panel Data Method

The pattern of international agricultural trade is undergoing profound changes. influence country risks on the prominent. In this paper, we comprehensively analyze patterns and explore them. Specifically, first construct an network (IATN) based complex theory. Second, each country’s diversity import sources position countries in IATN using Herfindahl–Hirschman Index (HHI) indicators, such as in-degree, out-degree, weighted betweenness centrality. Third, paper explores different types risks, including economic risk political risk, panel regression method. results show that played roles occupied positions pattern; notably, United States a core position, while Japan Mexico had insufficient sources. Moreover, method, find have positive impact pattern, unstable environment could inhibit various countries. This study provide references for to implement policies regarding ensure stable relations national food security.