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Exploration of Spatio-Temporal Characteristics of Carbon Emissions from Energy Consumption and Their Driving Factors: A Case Analysis of the Yangtze River Delta, China

Author

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  • Weiwu Wang

    (College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China
    China of Institute of Urbanization, Zhejiang University, Hangzhou 310058, China
    Center for Balance Architecture, Zhejiang University, Hangzhou 310058, China)

  • Huan Chen

    (College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China)

  • Lizhong Wang

    (College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China
    China of Institute of Urbanization, Zhejiang University, Hangzhou 310058, China)

  • Xinyu Li

    (College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China)

  • Danyi Mao

    (College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China)

  • Shan Wang

    (College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China)

Abstract

For the Yangtze River Delta (YRD) region of China, exploring the spatio-temporal characteristics of carbon emissions from energy consumption (CEECs) and their influencing factors is crucial to achieving carbon peaking and carbon neutrality as soon as possible. In this study, an improved LMDI decomposition model based on the Tapio model and Kaya’s equation was proposed. Combined with the improved LMDI and k-means cluster analysis methods, the energy structure, energy intensity, unit industrial output value and population size were selected as the driving factors, and the contribution of each driving factor to the CEECs of prefecture-level cities was quantitatively analyzed. Our study found that: (1) By 2020, the total amount of CEECs in the 26 prefecture-level cities in the YRD will stabilize, while their intensity has shown a downward trend in recent years. (2) The decoupling relationship between CEECs and economic development generally showed a trend from negative decoupling to decoupling. The dominant factor in decoupling was generally the shift of DEL values towards urbanization rate and energy intensity and the open utilization of energy technologies. (3) From 2000 to 2010, the dominant factors affecting CEECs in 26 cities were energy intensity and energy structure, followed by industrial output value and urbanization rate. In general, the promotion effect of economic development on carbon emissions in the YRD region was greater than the inhibitory effect. After 2010, the restrictive effect of various factors on CEECs increased significantly, among which the role of gross industrial output was crucial. The research results can provide a scientific policy basis for the subsequent spatial management and control of carbon emission reduction and carbon neutrality in the YRD region at a finer scale.

Suggested Citation

  • Weiwu Wang & Huan Chen & Lizhong Wang & Xinyu Li & Danyi Mao & Shan Wang, 2022. "Exploration of Spatio-Temporal Characteristics of Carbon Emissions from Energy Consumption and Their Driving Factors: A Case Analysis of the Yangtze River Delta, China," IJERPH, MDPI, vol. 19(15), pages 1-25, August.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:15:p:9483-:d:878386
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    References listed on IDEAS

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    Cited by:

    1. Qifan Guan, 2023. "Decomposing and Decoupling the Energy-Related Carbon Emissions in the Beijing–Tianjin–Hebei Region Using the Extended LMDI and Tapio Index Model," Sustainability, MDPI, vol. 15(12), pages 1-17, June.
    2. Gen Li & Shihong Zeng & Tengfei Li & Qiao Peng & Muhammad Irfan, 2023. "Analysing the Effect of Energy Intensity on Carbon Emission Reduction in Beijing," IJERPH, MDPI, vol. 20(2), pages 1-19, January.
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    4. Jian Zhang & Jingyang Liu & Li Dong & Qi Qiao, 2022. "CO 2 Emissions Inventory and Its Uncertainty Analysis of China’s Industrial Parks: A Case Study of the Maanshan Economic and Technological Development Area," IJERPH, MDPI, vol. 19(18), pages 1-14, September.

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