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Study on the Spatial and Temporal Evolution Patterns of Green Innovation Efficiency and Driving Factors in Three Major Urban Agglomerations in China—Based on the Perspective of Economic Geography

Author

Listed:
  • Biao Hu

    (School of Management, Tianjin University of Technology, Tianjin 300384, China)

  • Kai Yuan

    (School of Management, Tianjin University of Technology, Tianjin 300384, China)

  • Tingyun Niu

    (School of Public Affairs, Xiamen University, Xiamen 361005, China)

  • Liang Zhang

    (School of Economics and Management, Tsinghua University, Beijing 100084, China)

  • Yuqiong Guan

    (Guanghua School of Management, Peking University, Beijing 100091, China)

Abstract

Sustainable development has become a global consensus, and green innovation is the key starting point, and it has become a ballast stone and stabilizer for regional ecological environmental protection and high-quality economic development. Based on GIS tools and multi-method models, this paper studies the spatio-temporal characteristics and influence mechanism of green innovation in three major urban agglomerations in China from 2010 to 2019 from the perspective of economic geography. The study found that: (1) the green innovation efficiency of the three major urban agglomerations in China is in a fluctuating upward trend as a whole, with obvious spatial disequilibrium; (2) from the spatial point of view, the characteristics of global spatial agglomeration distribution have positive spatial correlation, and the law of local spatial autocorrelation is obvious, and the spatio-temporal pattern transitions from “low efficiency, big difference” to “high efficiency, small difference” during the study period; (3) there are obvious spatial spillover and diffusion effects on the green innovation efficiency of the three major urban agglomerations in China as a whole. However, the spatial dependence of green innovation efficiency is inconsistent in China’s three major urban agglomerations; the YRD Urban region and the PRD Urban region show a positive impact, while the JJJ Urban region shows a negative impact; (4) the level of economic development, the operating environment of science and technology, and the guiding factors of government system function with significant differences and regional spatial heterogeneity on the efficiency of green innovation in the three major urban agglomerations in China.

Suggested Citation

  • Biao Hu & Kai Yuan & Tingyun Niu & Liang Zhang & Yuqiong Guan, 2022. "Study on the Spatial and Temporal Evolution Patterns of Green Innovation Efficiency and Driving Factors in Three Major Urban Agglomerations in China—Based on the Perspective of Economic Geography," Sustainability, MDPI, vol. 14(15), pages 1-28, July.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:15:p:9239-:d:873919
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    References listed on IDEAS

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    1. Lifeng Chen & Fuxuan Guo & Lingyan Huang, 2023. "Impact of Foreign Direct Investment on Green Innovation: Evidence from China’s Provincial Panel Data," Sustainability, MDPI, vol. 15(4), pages 1-17, February.
    2. Kai Yuan & Biao Hu & Xinlong Li & Tingyun Niu & Liang Zhang, 2023. "Exploration of Coupling Effects in the Digital Economy and Eco-Economic System Resilience in Urban Areas: Case Study of the Beijing-Tianjin-Hebei Urban Agglomeration," Sustainability, MDPI, vol. 15(9), pages 1-28, April.
    3. Kaixuan Di & Zuankuo Liu & Shanglei Chai & Kanyong Li & Yu Li, 2024. "Spatial correlation network structure of green innovation efficiency and its driving factors in the Bohai Rim region," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(11), pages 27227-27247, November.

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