The historical evolution and path optimization of China's seed industry system since the founding of the People's Republic of China——Based on the perspective of institutional economics
The construction of the seed industry system is related to national food security,and is of paramount importance to China's agriculture,rural area,and farmers issues.Based on the international background,this paper used Ostrom's multi-level institutional analysis framework to explore the historical evolution and development trend of China's seed industry system,providing a basis for improving the construction of China's seed industry system and accelerating the implementation of the seed industry revitalization strategy.The study showed that,from the 1950s to the present,China's seed industry system had experienced the historical evolution process of"growing out of nothing","from planning to market",and"from single subject to multiple subjects".On the one hand,the system at the level of constitutional choice had laid a practical foundation for the seed industry system,which was reflected in promoting the protection of germplasm resources,the transformation of scientific and technological achievements and the cultivation of seed enterprise;on the other hand,the local practice and operation of the seed industry at the level of collective choice and the development needs of seed enterprises at the level of operational rules promoted further improvements at the level of constitutional choice.The construction direction of China's seed industry system should improve the legal and regulatory system related to the seed industry at the level of constitutional choice,deepen the reform of the seed industry industrialization system at the level of collective choice,and strengthen the financial services for seed enterprises at the level of operation,so as to enhance China's seed industry innovation ability and national food security guarantee ability.
Revitalization of seed industryFood securitySystemHistorical evolutionPath optimization
国家科技期刊平台
NSTL
万方数据
