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

Author

Listed:
  • 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
    Collaborative Innovation Center of Human–Nature and Green Development in Universities of Shandong, Shandong Normal University, Jinan 250358, China)

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.

Suggested Citation

  • Shumin Dong & Yuting Xue & Guixiu Ren & Kai Liu, 2022. "Urban Green Innovation Efficiency in China: Spatiotemporal Evolution and Influencing Factors," Land, MDPI, vol. 12(1), pages 1-13, December.
    • Handle: RePEc:gam:jlands:v:12:y:2022:i:1:p:75-:d:1015689
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    References listed on IDEAS

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    1. Jinchao Huang & Shuang Meng & Jiajie Yu, 2023. "The Effects of the Low-Carbon Pilot City Program on Green Innovation: Evidence from China," Land, MDPI, vol. 12(8), pages 1-26, August.

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