Proceedings of the 3rd International Conference on Mathematical Statistics and Economic Analysis, MSEA 2024, May 24–26, 2024, Jinan, China

Research Article

Coupling coordination analysis and influencing factors of regional economy growth and environmental quality——based on the perspective of energy transition

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  • @INPROCEEDINGS{10.4108/eai.24-5-2024.2350096,
        author={Yunming  Wang and Wenzhe  Chen and Siyi  Fang and Shiyu  Yang and Lunan  Zhao and Chen  Wang and Bin  Chen},
        title={Coupling coordination analysis and influencing factors of regional economy growth and environmental quality------based on the perspective of energy transition},
        proceedings={Proceedings of the 3rd International Conference on Mathematical Statistics and Economic Analysis, MSEA 2024, May 24--26, 2024, Jinan, China},
        publisher={EAI},
        proceedings_a={MSEA},
        year={2024},
        month={10},
        keywords={energy transition environment and economy coupling and coordination},
        doi={10.4108/eai.24-5-2024.2350096}
    }
    
  • Yunming Wang
    Wenzhe Chen
    Siyi Fang
    Shiyu Yang
    Lunan Zhao
    Chen Wang
    Bin Chen
    Year: 2024
    Coupling coordination analysis and influencing factors of regional economy growth and environmental quality——based on the perspective of energy transition
    MSEA
    EAI
    DOI: 10.4108/eai.24-5-2024.2350096
Yunming Wang1, Wenzhe Chen1, Siyi Fang2,*, Shiyu Yang2, Lunan Zhao2, Chen Wang1, Bin Chen2
  • 1: Central China branch of State Grid, Xudong Street, Hongshan District, Wuhan, Hubei, China
  • 2: Huazhong University of Science and Technology, Luoyu Road, Hongshan District, Wuhan, Hubei, China
*Contact email: M202374669@hust.edu.cn

Abstract

While energy activities are the primary driver of global CO2 emissions, the adjustment and upgrade of energy structure is one of the key methods for countries to achieve their carbon neutrality targets while preserving the integrated growth of local economies and environmental quality. In this paper, we use the coupling coordination degree (CCD) model to estimate the regional coupling coordination degree between economy and environment of 30 provinces in China from 2006 to 2021. The results show that the coupling coordination degree between economy and environment tends to grow steadily in China with regional heterogeneity. In addition, we examine the impact of energy transition on coupling coordination degree, and we find that energy transition and factors such as industrial upgrading and environmental regulation promote regional coupling and coordination significantly.