国家农业科技创新体系效能提升的组态路径研究OACHSSCD

Based on the theory of agricultural innovation ecosystems,this paper examines 23 major agricultural science,technology and innovation(ASTI)-oriented countries worldwide as cases and employs the Fuzzy Set Qualitative Comparative Analysis(fsQCA)method to explore multiple configurational pathways for enhancing the ASTI system's performance.The results show that the ASTI system's performance arises from the joint effects of multiple factors,and no single factor constitutes a necessary condition for achieving high ASTI system performance.Interactions among innovation communities,innovation environments,and innovation factors give rise to four equifinal pathways to high ASTI system performance:full-factor driven,community foundation-innovation factor collaboration,innovation environment supported,and community foundation leadership.In contrast,community foundation-education and culture deficiency and the mismatch of community foundation-community interaction result in non-high ASTI system performance.Under specific conditions,different combinations of agricultural innovation ecosystem factors enhance national ASTI system performance through equivalent substitution effects.Accordingly,it is essential to promote the concept of an agricultural innovation ecosystem,by which countries can be guided to choose suitable performance improvement paths based on their own endowments and to continuously consolidate the core capabilities of their agricultural innovation communities.