IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i10p4128-d1394813.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/10/4128/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/10/4128/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Scarlat, Nicolae & Prussi, Matteo & Padella, Monica, 2022. "Quantification of the carbon intensity of electricity produced and used in Europe," Applied Energy, Elsevier, vol. 305(C).
    2. Zhang, Pengfei & Cai, Wenqiu & Yao, Mingtao & Wang, Zhiyou & Yang, Luzhen & Wei, Wendong, 2020. "Urban carbon emissions associated with electricity consumption in Beijing and the driving factors," Applied Energy, Elsevier, vol. 275(C).
    3. Asif Raihan, 2023. "An econometric evaluation of the effects of economic growth, energy use, and agricultural value added on carbon dioxide emissions in Vietnam," Asia-Pacific Journal of Regional Science, Springer, vol. 7(3), pages 665-696, September.
    4. Wang, Juan & Li, Ziming & Wu, Tong & Wu, Siyu & Yin, Tingwei, 2022. "The decoupling analysis of CO2 emissions from power generation in Chinese provincial power sector," Energy, Elsevier, vol. 255(C).
    5. Li, Yaowang & Yang, Xuxin & Du, Ershun & Liu, Yuliang & Zhang, Shixu & Yang, Chen & Zhang, Ning & Liu, Chang, 2024. "A review on carbon emission accounting approaches for the electricity power industry," Applied Energy, Elsevier, vol. 359(C).
    6. Wenbo Li & Ruyin Long & Linling Zhang & Zhengxia He & Feiyu Chen & Hong Chen, 2020. "Greenhouse Gas Emission Transfer of Inter-Provincial Electricity Trade in China," IJERPH, MDPI, vol. 17(22), pages 1-14, November.
    7. Liu, Jiaguo & Li, Sujuan & Ji, Qiang, 2021. "Regional differences and driving factors analysis of carbon emission intensity from transport sector in China," Energy, Elsevier, vol. 224(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bowen Xiao & Chengyao Xu, 2023. "Can Policy Instruments Achieve Synergies in Mitigating Air Pollution and CO 2 Emissions in the Transportation Sector?," Sustainability, MDPI, vol. 15(19), pages 1-24, October.
    2. Qing Wang & Yuhang Xiao, 2022. "Has Urban Construction Land Achieved Low-Carbon Sustainable Development? A Case Study of North China Plain, China," Sustainability, MDPI, vol. 14(15), pages 1-29, August.
    3. Jiasha Fu & Fan Wang & Jin Guo, 2024. "Decoupling Economic Growth from Carbon Emissions in the Yangtze River Economic Belt of China: From the Coordinated Regional Development Perspective," Sustainability, MDPI, vol. 16(6), pages 1-24, March.
    4. An, Yimeng & Dang, Yaoguo & Wang, Junjie & Zhou, Huimin & Mai, Son T., 2024. "Mixed-frequency data Sampling Grey system Model: Forecasting annual CO2 emissions in China with quarterly and monthly economic-energy indicators," Applied Energy, Elsevier, vol. 370(C).
    5. Bai, Muren & Li, Cunbin, 2024. "Research on the allocation scheme of carbon emission allowances for China's provincial power grids," Energy, Elsevier, vol. 299(C).
    6. Shiqing Zhang & Yaping Li & Zheng Liu & Xiaofei Kou & Wenlong Zheng, 2023. "Towards a Decoupling between Economic Expansion and Carbon Dioxide Emissions of the Transport Sector in the Yellow River Basin," Sustainability, MDPI, vol. 15(5), pages 1-26, February.
    7. Chen, Huadun & Du, Qianxi & Huo, Tengfei & Liu, Peiran & Cai, Weiguang & Liu, Bingsheng, 2023. "Spatiotemporal patterns and driving mechanism of carbon emissions in China's urban residential building sector," Energy, Elsevier, vol. 263(PE).
    8. Zhang, Haoran & Li, Ruixiong & Cai, Xingrui & Zheng, Chaoyue & Liu, Laibao & Liu, Maodian & Zhang, Qianru & Lin, Huiming & Chen, Long & Wang, Xuejun, 2022. "Do electricity flows hamper regional economic–environmental equity?," Applied Energy, Elsevier, vol. 326(C).
    9. Jānis Krūmiņš & Māris Kļaviņš, 2023. "Investigating the Potential of Nuclear Energy in Achieving a Carbon-Free Energy Future," Energies, MDPI, vol. 16(9), pages 1-31, April.
    10. Stephany Isabel Vallarta-Serrano & Ana Bricia Galindo-Muro & Riccardo Cespi & Rogelio Bustamante-Bello, 2023. "Analysis of GHG Emission from Cargo Vehicles in Megacities: The Case of the Metropolitan Zone of the Valley of Mexico," Energies, MDPI, vol. 16(13), pages 1-19, June.
    11. Wang, Zhibao & Zhao, Nana & Wei, Wendong & Zhang, Qianwen, 2021. "A differentiated energy Kuznets curve: Evidence from mainland China," Energy, Elsevier, vol. 214(C).
    12. Guorong Chen & Changyan Liu, 2023. "Can Low–Carbon City Development Stimulate Population Growth? Insights from China’s Low–Carbon Pilot Program," Sustainability, MDPI, vol. 15(20), pages 1-22, October.
    13. Liu, Changyu & Song, Yadong & Wang, Wei & Shi, Xunpeng, 2023. "The governance of manufacturers’ greenwashing behaviors: A tripartite evolutionary game analysis of electric vehicles," Applied Energy, Elsevier, vol. 333(C).
    14. Yunlong Liu & Leiyu Chen & Chengfeng Huang, 2022. "Study on the Carbon Emission Spillover Effects of Transportation under Technological Advancements," Sustainability, MDPI, vol. 14(17), pages 1-13, August.
    15. Tinta, Abdoulganiour Almame, 2023. "Energy substitution in Africa: Cross-regional differentiation effects," Energy, Elsevier, vol. 263(PA).
    16. Fang Wan & Jizu Li, 2023. "Responsibility Allocation of Provincial Industry Emission Reduction from the Perspective of Industrial Linkages—A Case Study of Shanxi Province," Sustainability, MDPI, vol. 15(12), pages 1-14, June.
    17. Li, Yonglin & Zuo, Zhili & Cheng, Yue & Cheng, Jinhua & Xu, Deyi, 2023. "Towards a decoupling between regional economic growth and CO2 emissions in China's mining industry: A comprehensive decomposition framework," Resources Policy, Elsevier, vol. 80(C).
    18. Shi, Tao & Li, Chongyang & Zhang, Wei & Zhang, Yi, 2023. "Forecasting on metal resource spot settlement price: New evidence from the machine learning model," Resources Policy, Elsevier, vol. 81(C).
    19. Jie He & Jun Yang, 2023. "Spatial–Temporal Characteristics and Influencing Factors of Land-Use Carbon Emissions: An Empirical Analysis Based on the GTWR Model," Land, MDPI, vol. 12(8), pages 1-23, July.
    20. Alexandr Tsoy & Alexandr Granovskiy & Dmitriy Koretskiy & Diana Tsoy-Davis & Nikita Veselskiy & Mikhail Alechshenko & Alexandr Minayev & Inara Kim & Rita Jamasheva, 2023. "Experimental Study of the Heat Flow and Energy Consumption during Liquid Cooling Due to Radiative Heat Transfer in Winter," Energies, MDPI, vol. 16(13), pages 1-18, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:16:y:2024:i:10:p:4128-:d:1394813. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.