Urban Green Innovation Efficiency in China: Spatiotemporal Evolution and Influencing Factors

Investigating urban green innovation efficiency (UGIE) is imperative because it correlated with the development of an ecological civilization and innovative country. Spatiotemporal evolution influencing factors UGIE are two important scientific problems that worth exploring. This study presents indicator system for includes input, expected output, unexpected employs a super-efficiency slacks-based measure (super-SBM) to calculate in 284 cities at or above prefecture level China from 2005 2020. Then, we adopted spatial auto-correlation identify its differences among these Geodetector evaluate factors. The results as follows: (1) overall tended rise, except northeastern China, megacities, super large-sized cities. (2) Chinese exhibited remarkable auto-correlation, “low-low” type enjoyed most local auto-correlations. (3) Sociocultural represented by number collections public libraries became affecting China.