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Spatial and Temporal Evolution Analysis of Industrial Green Technology Innovation Efficiency in the Yangtze River Economic Belt

Author

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  • Mengchao Yao

    (DongWu Business School, Soochow University, Suzhou 215006, China)

  • Jinjun Duan

    (DongWu Business School, Soochow University, Suzhou 215006, China)

  • Qingsong Wang

    (DongWu Business School, Soochow University, Suzhou 215006, China)

Abstract

As a fusion point of innovation-driven green development, green technology innovation has become an essential engine for green transformation and high-quality economic development of the Yangtze River Economic Belt. Based on the panel data of 110 cities in the Yangtze River Economic Belt from 2006 to 2020, this paper uses the super-SBM model to measure the efficiency of industrial green technology innovation. Then, the Dagum Gini coefficient and its subgroup decomposition method, kernel density estimation, and the spatial Markov chain will discuss the convergence characteristics and dynamic evolution law of industrial green technology innovation efficiency in the Yangtze River Economic Belt. The results indicate several key points. (1) On the whole, the industrial green innovation efficiency of the Yangtze River Economic Belt shows a trend of the “N” type, which increases slowly at first and then decreases and then increases, and shows a non-equilibrium feature of “east high and west low” in space. (2) The average GML index of industrial green technology innovation efficiency in the Yangtze River Economic Belt is greater than 1, and technological progress is the main driving force in promoting efficiency growth. (3) There are spatial and temporal differences in industrial green technological innovation efficiency in the Yangtze River Economic Belt. Interregional differences and hypervariable density are the primary sources of overall differences. (4) During the study period, the absolute difference in industrial green technology innovation efficiency among regions showed a trend of “expansion-reduction-expansion”, and the innovation efficiency gradually converged to a single equilibrium point. (5) The industrial green technology innovation efficiency transfer in the Yangtze River Economic Belt shows a specific spatial dependence. Accordingly, policy suggestions are put forward to further improve industrial green technological innovation in the Yangtze River Economic Belt.

Suggested Citation

  • Mengchao Yao & Jinjun Duan & Qingsong Wang, 2022. "Spatial and Temporal Evolution Analysis of Industrial Green Technology Innovation Efficiency in the Yangtze River Economic Belt," IJERPH, MDPI, vol. 19(11), pages 1-20, May.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:11:p:6361-:d:822512
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    Cited by:

    1. Liao, Tailai & Yan, Jingdong & Zhang, Qiuhong, 2024. "The impact of green technology innovation on carbon emission efficiency: The intermediary role of intellectual capital," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 520-532.
    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. Mengchao Yao & Ziqi Li & Yunfei Wang, 2023. "Features of Industrial Green Technology Innovation in the Yangtze River Economic Belt of China Based on Spatial Correlation Network," Sustainability, MDPI, vol. 15(7), pages 1-21, March.
    4. Xiaochi Qu & Haozhe Zhang & Guohua Bi & Kangchuan Su & Zhongxun Zhang & Yao Qian & Qingyuan Yang, 2022. "Spatial Effects of the Land Supply Scale of Different Industrial Sectors on High-Quality Development in the Yangtze River Economic Belt," Land, MDPI, vol. 11(11), pages 1-23, October.
    5. Qiangyi Li & Lan Yang & Fangxin Jiang & Yangqing Liu & Chenyang Guo & Shuya Han, 2022. "Distribution Characteristics, Regional Differences and Spatial Convergence of the Water-Energy-Land-Food Nexus: A Case Study of China," Land, MDPI, vol. 11(9), pages 1-28, September.
    6. Xin Zhang & Feng Xu, 2023. "Environmental Regulation and Spatial Spillover Effect of Green Technology Innovation: An Empirical Study on the Spatial Durbin Model," Sustainability, MDPI, vol. 15(19), pages 1-19, September.

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