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Urban green innovation efficiency and its influential factors: the Chinese evidence

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  • Bin Liao

    (Hunan University)

  • Lin Li

    (Hunan University)

Abstract

To ameliorate the efficiency of urban green innovation is the key to realizing green economic transition. This paper constructs a Super-NSBM model with green patents as the intermediate output, uses this model to assess and decompose the green innovation efficiency of 284 Chinese cities, and finally analyzes the spatiotemporal characteristics and influential factors. The research result showed the gap of urban green innovation total efficiency among various regions in China is narrowing, while the spatial differentiation of decomposition efficiency is deepening. This means that a spatial collaborative innovation division pattern of “Eastern Region R&D + Southwest and Northeast Region Transformation” has gradually formed. In the meantime, this paper also found that the spillover effects of the urban green innovation total efficiency and phased efficiency all can form a significant demonstration effect on the surrounding areas. Finally, financial agglomeration, industrial structure, knowledge sharing, economic activity, higher education, opening, and environmental regulations may affect urban green innovation total efficiency and phased efficiency, and this effect has regional heterogeneity.

Suggested Citation

  • Bin Liao & Lin Li, 2023. "Urban green innovation efficiency and its influential factors: the Chinese evidence," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 6551-6573, July.
    • Handle: RePEc:spr:endesu:v:25:y:2023:i:7:d:10.1007_s10668-022-02316-4
    DOI: 10.1007/s10668-022-02316-4
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    References listed on IDEAS

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    Cited by:

    1. Tan, Weijie & Shen, Minghao & Pang, Yubiao & Liu, Yiqian, 2024. "Bank agglomeration and corporate environmental responsibility performance: Evidence from Chinese bank branch data," International Review of Financial Analysis, Elsevier, vol. 91(C).
    2. Yingshi Shang & Yanmin Niu & Peng Song, 2023. "Regional Differences and Influencing Factors of Green Innovation Efficiency in China’s 285 Cities," Sustainability, MDPI, vol. 16(1), pages 1-18, December.
    3. Yijing Zou & Dayi He & Rui Sun, 2024. "Research on the Mechanism of Collaborative Innovation in Green Technology among Supply Chain Enterprises Based on Cost Sharing and Market Competition," Sustainability, MDPI, vol. 16(15), pages 1-28, July.

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