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Research and Optimization of the Coupling and Coordination of Environmental Regulation, Technological Innovation, and Green Development

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  • Kedong Yin

    (School of Economics, Ocean University of China, Qingdao 266100, China
    School of Management Science and Engineering, Shandong University of Finance and Economics, Jinan 250014, China
    Institute of Marine Economy and Management, Shandong University of Finance and Economics, Jinan 250014, China)

  • Runchuan Zhang

    (School of Economics, Ocean University of China, Qingdao 266100, China)

  • Xue Jin

    (School of Economics, Ocean University of China, Qingdao 266100, China
    Institute of Marine Economy and Management, Shandong University of Finance and Economics, Jinan 250014, China
    Faculty of Science, University of British Columbia, 2202 Main Mall, Vancouver, BC V6T 1Z4, Canada)

  • Li Yu

    (School of Banking and Finance, University of International Business and Economics, Beijing 100029, China)

Abstract

Environmental regulation and technological innovation play important strategic roles in green growth, and the three systems interact and influence each other. Herein, we used a comprehensive development level evaluation model for calculating the environmental regulation and technological innovation indices for 17 cities in Shandong Province. We used the slack-based measure-data envelopment analysis (SBM-DEA) model to measure green development efficiency. The coupling coordination degree model was used to determine the coordination of environmental regulation, technological innovation, and green development; we divided the cities into three systems: green economy lagging, environmental regulation lagging, and technological innovation lagging. We used grey correlation analysis to explore the factors affecting system development. Eastern coastal cities were better developed in the three systems and the degree of coupling and coordination, like Qingdao and Weihai, and the observed level of technological innovation development, a critical factor in the coordinated development of cities, was lowest in Shandong Province. The grey correlation analysis illustrated that the level of economic development and the level of foreign economic development impacts cities labeled green economy lagging; the impact of pollutant emissions is greater than pollution control expenditure in environmental regulation lagging cities; and the government’s attention and the cultivation and attraction of talent are foundational for technological innovation in lagging cities. Considering these factors, we make recommendations for the optimal development of cities and coordinated development of regions.

Suggested Citation

  • Kedong Yin & Runchuan Zhang & Xue Jin & Li Yu, 2022. "Research and Optimization of the Coupling and Coordination of Environmental Regulation, Technological Innovation, and Green Development," Sustainability, MDPI, vol. 14(1), pages 1-18, January.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:1:p:501-:d:717078
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    References listed on IDEAS

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    1. Anthony Heyes, 2009. "Is environmental regulation bad for competition? A survey," Journal of Regulatory Economics, Springer, vol. 36(1), pages 1-28, August.
    2. Rubashkina, Yana & Galeotti, Marzio & Verdolini, Elena, 2015. "Environmental regulation and competitiveness: Empirical evidence on the Porter Hypothesis from European manufacturing sectors," Energy Policy, Elsevier, vol. 83(C), pages 288-300.
    3. Chintrakarn, Pandej, 2008. "Environmental regulation and U.S. states' technical inefficiency," Economics Letters, Elsevier, vol. 100(3), pages 363-365, September.
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    Cited by:

    1. Xiaoyu He & Bo Li, 2023. "A Study on the Influence of Green Industrial Policy on Urban Green Development: Based on the Empirical Data of Ecological Industrial Park Pilot Construction," Sustainability, MDPI, vol. 15(13), pages 1-29, June.
    2. Xiaoyan Li & Yaxin Tan & Kang Tian, 2022. "The Impact of Environmental Regulation, Industrial Structure, and Interaction on the High-Quality Development Efficiency of the Yellow River Basin in China from the Perspective of the Threshold Effect," IJERPH, MDPI, vol. 19(22), pages 1-15, November.
    3. Chuang Li & Chen Li & Liping Wang, 2023. "The Docking Mechanism of Public and Enterprise Green Behavior in China: A Scenario Game Experiment Based on Green Product Classification," Sustainability, MDPI, vol. 15(13), pages 1-27, June.
    4. Liyan Sun & Zhuoying Wang & Li Yang, 2023. "Research on the Dynamic Coupling and Coordination of Science and Technology Innovation and Sustainable Development in Anhui Province," Sustainability, MDPI, vol. 15(4), pages 1-22, February.

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