IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i20p13693-d950122.html
   My bibliography  Save this article

Consumption-Driven Carbon Emission Reduction Path and Simulation Research in Steel Industry: A Case Study of China

Author

Listed:
  • Desheng Xu

    (School of Economics and Management, Inner Mongolia University of Technology, Hohhot 010051, China
    Inner Mongolia Management Modernization Research Center, Hohhot 010051, China)

  • Encui Liu

    (School of Economics and Management, Inner Mongolia University of Technology, Hohhot 010051, China
    Inner Mongolia Management Modernization Research Center, Hohhot 010051, China)

  • Wei Duan

    (School of Economics and Management, Inner Mongolia University of Technology, Hohhot 010051, China
    Inner Mongolia Management Modernization Research Center, Hohhot 010051, China)

  • Ke Yang

    (School of Economics and Management, Inner Mongolia University of Technology, Hohhot 010051, China
    Inner Mongolia Management Modernization Research Center, Hohhot 010051, China)

Abstract

China’s steel industry’s carbon emissions accounted for more than 60% of global carbon emissions, approximately 15% in China in 2020. China’s steel industry accounted for approximately 16% of China’s total carbon emissions in 2021. The ability to reduce the carbon dioxide emissions generated by the steel industry and protect the living environment for humans and nature has become a realistic issue for China. This paper constructs a steel consumption–carbon emission system. Research shows that by adjusting the GDP growth rate and CO 2 emissions per unit of steel production, the carbon peak in the steel industry will advance to 2030 and the carbon emissions after the peak will be significantly reduced. The reduction in steel consumption in the construction and machinery sectors does not have a significant impact on carbon emissions from the steel industry, whereas the reduction in steel consumption in the transportation and infrastructure sectors has contributed to carbon reduction activities in the steel industry. When all four sectors are regulated simultaneously, it is found that the predicted carbon peaking time for the steel sector advances to 2029, fulfilling the goal of achieving carbon peaking by 2030. Carbon emissions should decrease after that point.

Suggested Citation

  • Desheng Xu & Encui Liu & Wei Duan & Ke Yang, 2022. "Consumption-Driven Carbon Emission Reduction Path and Simulation Research in Steel Industry: A Case Study of China," Sustainability, MDPI, vol. 14(20), pages 1-20, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:20:p:13693-:d:950122
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/20/13693/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/20/13693/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ya Chen & Xiaoli Fan & Qian Zhou, 2020. "An Inverted-U Impact of Environmental Regulations on Carbon Emissions in China’s Iron and Steel Industry: Mechanisms of Synergy and Innovation Effects," Sustainability, MDPI, vol. 12(3), pages 1-19, February.
    2. Songyan Ren & Peng Wang & Zewei Lin & Daiqing Zhao, 2022. "The Policy Choice and Economic Assessment of High Emissions Industries to Achieve the Carbon Peak Target under Energy Shortage—A Case Study of Guangdong Province," Energies, MDPI, vol. 15(18), pages 1-22, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jianming Xu & Qinfei Yu & Xiaoyang Hou, 2023. "Sustainability Assessment of Steel Industry in the Belt and Road Area Based on DPSIR Model," Sustainability, MDPI, vol. 15(14), pages 1-24, July.
    2. Zhiming Shi & Yisong Li & Gábor Bohács & Qiang Zhou, 2022. "A Study on Optimal Location Selection and Semi-Finished Product Inventory Allocation in the Steel Industry," Sustainability, MDPI, vol. 14(22), pages 1-21, November.

    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. Neves, Sónia Almeida & Marques, António Cardoso & Patrício, Margarida, 2020. "Determinants of CO2 emissions in European Union countries: Does environmental regulation reduce environmental pollution?," Economic Analysis and Policy, Elsevier, vol. 68(C), pages 114-125.
    2. Wang, Zhuo & Yen-Ku, Kuo & Li, Zeyun & An, Nguyen Binh & Abdul-Samad, Zulkiflee, 2022. "The transition of renewable energy and ecological sustainability through environmental policy stringency: Estimations from advance panel estimators," Renewable Energy, Elsevier, vol. 188(C), pages 70-80.
    3. Tetiana Bilan & Mykola Kaplin & Vitaliy Makarov & Mykola Perov & Ihor Novitskii & Artur Zaporozhets & Valerii Havrysh & Vitalii Nitsenko, 2022. "The Balance and Optimization Model of Coal Supply in the Flow Representation of Domestic Production and Imports: The Ukrainian Case Study," Energies, MDPI, vol. 15(21), pages 1-19, October.
    4. Xiangyang Yu & Xiaojing Wang, 2023. "Research on Carbon-Trading Model of Urban Public Transport Based on Blockchain Technology," Energies, MDPI, vol. 16(6), pages 1-21, March.

    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:14:y:2022:i:20:p:13693-:d:950122. 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.