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Coupled Coordination and Drivers of Green Technology Innovation and Carbon Emission Efficiency

Author

Listed:
  • Yanzi He

    (College of Business, Hunan University of Technology, Zhuzhou 412007, China)

  • Yan Wang

    (College of Business, Hunan University of Technology, Zhuzhou 412007, China)

  • Chunguang Quan

    (School of Economics and Management, Changsha University, Changsha 410022, China)

Abstract

The coupled and coordinated development of green technology innovation and carbon emission efficiency in the Yangtze River Economic Belt is crucial for its realization of green and low-carbon transformation. Based on the panel data of the Yangtze River Economic Belt from 2011 to 2021, the comprehensive evaluation levels of green technological innovation and carbon emission efficiency were measured, and the coupling degree of coordination model and panel Tobit model were constructed to empirically analyze the coupling degree of coordination and driving factors of the two. The results show that, overall, the comprehensive evaluation value of green technology innovation level in the Yangtze River Economic Zone shows an upward trend; the value of carbon emission efficiency first rises and then falls. From the perspective of spatial distribution, both of them present the characteristic of “high in the east and low in the west”. The coupling coordination degree shows a growing trend and initially realizes the basic coordination. The coupling degree of coordination shows a significant negative correlation between the energy structure and the coupling degree of both of them, while urbanization level, environmental regulation, industrial structure, level of economic development, degree of openness, and labor level all show a significant positive correlation.

Suggested Citation

  • Yanzi He & Yan Wang & Chunguang Quan, 2024. "Coupled Coordination and Drivers of Green Technology Innovation and Carbon Emission Efficiency," Sustainability, MDPI, vol. 16(7), pages 1-17, March.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:7:p:2710-:d:1363784
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    References listed on IDEAS

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    1. Sui, Bo & Yao, Liuyang, 2023. "The impact of digital transformation on corporate financialization: The mediating effect of green technology innovation," Innovation and Green Development, Elsevier, vol. 2(1).
    2. Tone, Kaoru, 2002. "A slacks-based measure of super-efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(1), pages 32-41, November.
    3. Yan, Zheming & Sun, Zao & Shi, Rui & Zhao, Minjuan, 2023. "Smart city and green development: Empirical evidence from the perspective of green technological innovation," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    4. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
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