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Is the Spatiotemporal Evolution of Manufacturing Carbon Emissions in China Toward Convergence?

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  • Jianmin You

    (School of Economics and Statistics, Guangzhou University, Guangzhou 510006, China
    Guizhou Institute of Local Modernized Governance, Guizhou Academy of Social Science, Guiyang 550002, China)

  • Wei Zhang

    (School of Business, Guangxi University, Nanning 530004, China)

Abstract

Understanding the convergence characteristics of manufacturing carbon emissions (MCEs) in China is essential for aligning regional carbon reduction efforts and achieving national climate goals. This study investigates the spatiotemporal evolution and convergence of MCEs across China and its eastern, central, and western regions, using panel data from 30 provinces spanning 2001 to 2020. A spatial panel model is applied to analyze convergence trends and influencing factors. The findings reveal three key insights: (1) Nationwide, the disparity in MCEs is expanding, with significant spatial imbalances; intra-regionally, emission disparities are highest in the eastern region and lowest in the western region. (2) Both nationally and regionally, MCEs lacks a converging trend, complicating coordinated carbon reduction efforts. Less economically developed regions exhibit higher degrees and rates of spatial divergence. (3) Technological advancement and energy structure optimization accelerate spatial divergence, while reduced disparities in manufacturing output and urbanization levels help mitigate it. These results underscore the need for a gradient-based, region-specific approach to achieve carbon peaking and neutrality in China.

Suggested Citation

  • Jianmin You & Wei Zhang, 2024. "Is the Spatiotemporal Evolution of Manufacturing Carbon Emissions in China Toward Convergence?," Energies, MDPI, vol. 17(23), pages 1-20, November.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:23:p:5932-:d:1529868
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    References listed on IDEAS

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    1. Chai, Jian & Tian, Lingyue & Jia, Ruining, 2023. "New energy demonstration city, spatial spillover and carbon emission efficiency: Evidence from China's quasi-natural experiment," Energy Policy, Elsevier, vol. 173(C).
    2. 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).
    3. Xiaoli Hao & Xinhui Wang & Haitao Wu & Yu Hao, 2023. "Path to sustainable development: Does digital economy matter in manufacturing green total factor productivity?," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(1), pages 360-378, February.
    4. Mattauch, Linus & Creutzig, Felix & Edenhofer, Ottmar, 2015. "Avoiding carbon lock-in: Policy options for advancing structural change," Economic Modelling, Elsevier, vol. 50(C), pages 49-63.
    5. Hu, Shuo & Yuan, Zheng & Wang, Ailun, 2024. "Improving carbon emission efficiency in Chinese manufacturing: A study considering technological heterogeneity and noise," Energy, Elsevier, vol. 291(C).
    Full references (including those not matched with items on IDEAS)

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