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Research on the Measurement, Evolution, and Driving Factors of Green Innovation Efficiency in Yangtze River Economic Belt: A Super-SBM and Spatial Durbin Model

Author

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  • Renyan Long
  • Hangyuan Guo
  • Danting Zheng
  • Ronghua Chang
  • Sanggyun Na

Abstract

With the shortage of resources and the increasingly serious environmental pollution in China, green innovation has become a sustainable competition for a region. The Yangtze River Economic Belt (YREB) strategy is one of the most important strategies for the sustainable development of China’s economy under the new normal. Green innovation plays a linking role in the resources exchange and trade flow in YREB, and it is also the foundation and guarantee to implement the YREB strategy. The global environmental pollution and the weak recovery of world economy make the traditional extensive economic growth model unsustainable. Sustainable economic growth should focus on the quality of development and its external costs to the environment. In order to implement the concept of sustainable development, the improvement of logistics ecological efficiency is related to the quality of ecological civilization construction. Therefore, it is of theoretical and practical significance to study the measurement, evolution, and driving factors of coordinated development level of regional green innovation system. This paper proposes a super-slack-based measure (super-SBM) data envelopment analysis (DEA) model to measure the green innovation efficiency of 11 provinces and cities in YREB from 2008 to 2017, mastering its spatial and evolutionary characteristics, and conduct empirical analysis on the influencing factors. The empirical results indicate that economic development, government support, and industrial structure upgrading are the leading forces to directly enhance the green technology innovation ability of cities in the Yangtze River Economic belt and play the core driving role of green innovation. To further enhance the capacity of urban green innovation in the Yangtze River Economic belt, we will increase the government’s support for green innovation, optimize the environmental governance model, promote the green upgrading of industrial structure, and enhance the enthusiasm of enterprises for green innovation.

Suggested Citation

  • Renyan Long & Hangyuan Guo & Danting Zheng & Ronghua Chang & Sanggyun Na, 2020. "Research on the Measurement, Evolution, and Driving Factors of Green Innovation Efficiency in Yangtze River Economic Belt: A Super-SBM and Spatial Durbin Model," Complexity, Hindawi, vol. 2020, pages 1-14, October.
    • Handle: RePEc:hin:complx:8094247
    DOI: 10.1155/2020/8094247
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    Citations

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    Cited by:

    1. Xiaoke Zhao & Xuhui Ding & Liang Li, 2021. "Research on Environmental Regulation, Technological Innovation and Green Transformation of Manufacturing Industry in the Yangtze River Economic Belt," Sustainability, MDPI, vol. 13(18), pages 1-15, September.
    2. Keliang Wang & Yajing Bian & Yunhe Cheng, 2022. "Exploring the Spatial Correlation Network Structure of Green Innovation Efficiency in the Yangtze River Delta, China," Sustainability, MDPI, vol. 14(7), pages 1-20, March.
    3. Wentao Lu & Guixiang Zhang, 2023. "Green development efficiency of urban agglomerations in a developing country: evidence from Beijing-Tianjin-Hebei in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 6939-6962, July.
    4. Zhenglin Sun & Jinyue Zhang, 2022. "Impact of Resource-Saving and Environment-Friendly Society Construction on Sustainability," Sustainability, MDPI, vol. 14(18), pages 1-25, September.
    5. Xueyang Wang & Xiumei Sun & Haotian Zhang & Chaokai Xue, 2022. "Digital Economy Development and Urban Green Innovation CA-Pability: Based on Panel Data of 274 Prefecture-Level Cities in China," Sustainability, MDPI, vol. 14(5), pages 1-21, March.
    6. Peipei, Wang & Eyvazov, Elchin & Giyasova, Zeynab & Kazimova, Asli, 2023. "The nexus between natural resource rents and financial wealth on economic recovery: Evidence from European Union economies," Resources Policy, Elsevier, vol. 82(C).
    7. Yongmin Shang & Guoqing Lyu & Zefeng Mi, 2022. "Green Technology Transfer, Environmental Regulation, and Regional Green Development Chasm: Based on the Empirical Evidence from Yangtze River Delta," IJERPH, MDPI, vol. 19(21), pages 1-22, October.
    8. Zeng, Juying & Blanco-González-Tejero, Cristina & Sendra, F. Javier, 2023. "The spatial difference-in-difference measurement of policy effect of environmental protection interview on green innovation," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    9. 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.

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