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Investigation on the Coupling Coordination Relationship between Electric Power Green Development and Ecological Civilization Construction in China: A Case Study of Beijing

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  • Jianxue Chai

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China
    Beijing Key Laboratory of New Energy and Low-Carbon Development, North China Electric Power University, Beijing 102206, China)

  • Lihui Zhang

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China
    Beijing Key Laboratory of New Energy and Low-Carbon Development, North China Electric Power University, Beijing 102206, China)

  • Meng Yang

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China
    Beijing Key Laboratory of New Energy and Low-Carbon Development, North China Electric Power University, Beijing 102206, China)

  • Qingyun Nie

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China
    Beijing Key Laboratory of New Energy and Low-Carbon Development, North China Electric Power University, Beijing 102206, China)

  • Lei Nie

    (Public Administration School, East China Normal University, Shanghai 200062, China)

Abstract

In the context of ecological civilization construction (ECC) and energy revolution strategy, there are many studies on ECC or electric power green development (EPGD). However, EPGD and ECC influence each other and are closely related, and there are few studies on the development relationship of EPGD and ECC. Therefore, this paper aims to study the coupling coordination relationship between EPGD and ECC to make them develop in harmony. Firstly, an evaluation index system of EPGD and ECC for their coupling coordination relationship is proposed. Then, this paper combines the coupling coordination degree model (CCDM), improved analytic hierarchy process (AHP) based on cloud model, and regression model to propose a coupling coordination relationship analysis model for EPGD and ECC. The improved AHP based on cloud model can fully reflect the will of decision-makers and effectively deal with the ambiguity and randomness of weight judgment. Finally, this paper conducts an empirical study on Beijing and verifies the applicability of the model proposed in this study. Policy recommendations to promote EPGD and ECC are proposed based on weight analysis, coupling coordination degree (CCD) analysis and regression analysis. This paper provides tools for the study on policies related to power development and ecological civilization.

Suggested Citation

  • Jianxue Chai & Lihui Zhang & Meng Yang & Qingyun Nie & Lei Nie, 2020. "Investigation on the Coupling Coordination Relationship between Electric Power Green Development and Ecological Civilization Construction in China: A Case Study of Beijing," Sustainability, MDPI, vol. 12(21), pages 1-29, October.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:21:p:8845-:d:434293
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    References listed on IDEAS

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    Cited by:

    1. Xinyu Hu & Chun Dong & Yihan Wang, 2023. "Coupled and Coordinated Analysis of Urban Green Development and Ecological Civilization Construction in the Yangtze River Delta Region," Sustainability, MDPI, vol. 15(7), pages 1-26, March.
    2. Haijie Wang & Yong Geng & Jingxue Zhang & Xiqiang Xia & Yanchao Feng, 2021. "Ecological Civilization Demonstration Zone, Air Pollution Reduction, and Political Promotion Tournament in China: Empirical Evidence from a Quasi-Natural Experiment," IJERPH, MDPI, vol. 18(22), pages 1-12, November.
    3. Yujing Liu & Dongxiao Niu, 2021. "Coupling and Coordination Analysis of Thermal Power Carbon Emission Efficiency under the Background of Clean Energy Substitution," Sustainability, MDPI, vol. 13(23), pages 1-17, November.
    4. Lingyun Mi & Tianwen Jia & Yang Yang & Lulu Jiang & Bangjun Wang & Tao Lv & Le Li & Junfeng Cao, 2021. "Evaluating the Effectiveness of Regional Ecological Civilization Policy: Evidence from Jiangsu Province, China," IJERPH, MDPI, vol. 19(1), pages 1-20, December.

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