Abstract
In recent years, PEST analysis and its application in decision-making has become a hot topic, and this paper proposes a new model of PEST analysis based on neutral cognitive map static analysis.The proposed framework consists of five activities, identifying PEST factors and sub-factors, modeling the interrelationships among PEST factors, calculating centrality measures, categorizing the factors, and ranking the factors.The results show that the impact factor of the US breeding patent on the development of agricultural science and technology has reached the level of interrelationship, and the uncertainty is included in the analysis. Using this model to analyze the impact of U.S.-China breeding patents on the development of agricultural science and technology, we ranked the factors according to their interrelationships and incorporated uncertainty into the analysis. The results showed that the impact factor of U.S. breeding patents on the development of agricultural science and technology reached 0.70, and the index of the Gross Agricultural Product (GAP) caused by patents was greater than 100. The quantitative analysis of the impact of Sino-US cooperation in agricultural science and technology using PEST analysis has scientifically and accurately grasped the quantitative law of Sino-US agricultural science and technology cooperation.
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