Research on the Spatial Difference and Spatial Evolution of Chinese Science and Technology Innovation Policies

Purpose/Significance The science and technology innovation policies（STIPs）play an increasingly important role in promoting the process of national independent innovation. Their efficiency directly affects the technological innovation and economic development in regions. Design/Methodology This paper uses the three-stage DEA method to measure the efficiency of 30 Chinese provincial STIPs in 2016～2020 after removing environmental factors, and then uses the EDSA method to analyze the spatial correlation of the efficiency of China’s STIPs. Conclusions/Findings The research shows that the STIPs in China has obvious spatial characteristics and significant positive spatial correlation. There are two clusters of eastern High-High agglomeration and western Low-Low agglomeration. The spatial space-time transition shows strong spatial stability and the spatial distribution pattern is not easy to change.