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Study on Spatial-Temporal Disparities and Factors Influencing Electricity Consumption Carbon Emissions in China

Author

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  • Pinjie Xie

    (College of Economics and Management, Shanghai University of Electric Power, Shanghai 201306, China)

  • Sheng Wang

    (College of Economics and Management, Shanghai University of Electric Power, Shanghai 201306, China)

  • Jie Liao

    (State Grid Hunan Provincial Electric Power Co., Ltd., Zhuzhou Power Supply Company, Zhuzhou 412011, China)

  • Feihu Sun

    (Research Institute of Carbon Neutrality, Shanghai Jiao Tong University, Shanghai 200030, China)

Abstract

Investigating the factors influencing the spatial-temporal disparities in China’s electricity consumption carbon emissions (ECCEs) will be of great help to advancing the reduction in carbon emissions on the consumption side of electricity. Based on the measurement of the ECCEs in 30 Chinese provinces between 2005 and 2021, we utilized the natural breakpoint method and the Dagum Gini coefficient to analyze the spatial-temporal disparities in ECCEs at the provincial and regional levels, and then we used Geodetector to explore the factors influencing the spatial-temporal disparities in ECCEs. The results revealed the following: (1) There were obvious inter-provincial spatial disparities in ECCEs, with coastal provinces such as Jiangsu and Guangdong consistently ranking at the top of the country and inland provinces such as Qinghai and Yunnan having relatively low carbon emission values. (2) The overall disparities in China’s ECCEs fluctuated and rose, with inter-regional disparities being the primary source of the overall disparities. (3) Economic development, industrialization level, population density, and foreign direct investment all had strong explanations for the spatial-temporal disparities in China’s ECCEs. When all these influencing factors were spatially superimposed, their effects were enhanced.

Suggested Citation

  • Pinjie Xie & Sheng Wang & Jie Liao & Feihu Sun, 2024. "Study on Spatial-Temporal Disparities and Factors Influencing Electricity Consumption Carbon Emissions in China," Sustainability, MDPI, vol. 16(10), pages 1-20, May.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:10:p:4128-:d:1394813
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    References listed on IDEAS

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    Cited by:

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