Urban Green Innovation Efficiency in China: Spatiotemporal Evolution and Influencing Factors
Shumin Dong,
Yuting Xue,
Guixiu Ren and
Kai Liu ()
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Shumin Dong: College of Geography and Environment, Shandong Normal University, Jinan 250358, China
Yuting Xue: College of Geography and Environment, Shandong Normal University, Jinan 250358, China
Guixiu Ren: College of Geography and Environment, Shandong Normal University, Jinan 250358, China
Kai Liu: College of Geography and Environment, Shandong Normal University, Jinan 250358, China
Land, 2022, vol. 12, issue 1, 1-13
Abstract:
Investigating urban green innovation efficiency (UGIE) is imperative because it is correlated with the development of an ecological civilization and an innovative country. Spatiotemporal evolution and influencing factors of UGIE are two important scientific problems that are worth exploring. This study presents an indicator system for UGIE that includes input, expected output, and unexpected output, and employs a super-efficiency slacks-based measure (super-SBM) to calculate UGIE in 284 cities at or above the prefecture level in China from 2005 to 2020. Then, we adopted spatial auto-correlation to identify its spatial differences among these cities and Geodetector to evaluate its influencing factors. The results are as follows: (1) The overall UGIE tended to rise, except in northeastern China, megacities, and super large-sized cities. (2) The UGIE of Chinese cities exhibited remarkable spatial differences and auto-correlation, and the “low-low” type enjoyed the most local spatial auto-correlations. (3) Sociocultural factors represented by the number of collections in public libraries became the most important factors affecting the UGIE in China.
Keywords: urban green innovation efficiency (UGIE); green innovation; spatiotemporal evolution; influencing factor; super-SBM; spatial auto-correlation; Geodetector; China (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jlands:v:12:y:2022:i:1:p:75-:d:1015689
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