长三角区域科技创新效率的空间分异及影响因素研究

Based on the input-output perspective, this paper constructs an input-output evaluation index system of technological innovation efficiency and integrates the super-efficient SBM model combined with Malmquist index, coefficient of variation and spatial Gini coefficient, Moran index, fixed effect panel model and other analytical methods to deeply explore the spatial variation of technological innovation efficiency and the influencing factors of 41 prefecture-level and above cities in the Yangtze River Delta region from 2007-2017. The results show that ① the innovation efficiency of the Yangtze River Delta and the three provinces and one city show an overall trend of growth, and technological progress has a great role in promoting the improvement of urban innovation efficiency; ② the degree of spatial differentiation of technological innovation efficiency in the Yangtze River Delta region has weakened, the spatial differences between different cities have gradually decreased, and technological innovation activities have tended to be balanced. However, the spatial auto-correlation is unstable, there are leaps in some areas, and there are positive or negative spatial spillover effects. ③ The number of students per million higher education institutions, Internet usage, and total passenger transportation have significant positive effects on technological innovation efficiency, while the proportion of secondary industry output to GDP has significant negative effects on technological innovation efficiency in the Yangtze River Delta. Through this study, the spatial distribution characteristics and influencing factors of the technological innovation efficiency in the Yangtze River Delta region are explored, which provides a scientific basis for the construction of the Yangtze River Delta regional science and technology innovation community.