IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2023i5p4250-d1082304.html
   My bibliography  Save this article

Analysis of Carbon Emission Projections and Reduction Potential of Resource-Dependent Urban Agglomerations from the Perspective of Multiple Scenarios—A Case Study of Hu-Bao-O-Yu Urban Agglomeration

Author

Listed:
  • Xuanwei Ning

    (School of Economics and Management, Beijing Forestry University, Beijing 100083, China)

  • Yushuang He

    (School of Economics and Management, Beijing Forestry University, Beijing 100083, China)

  • Jiayi Zhang

    (School of Economics and Management, Beijing Forestry University, Beijing 100083, China)

  • Chengliang Wu

    (School of Economics and Management, Beijing Forestry University, Beijing 100083, China)

  • Yang Zhang

    (School of Economics and Management, Beijing Forestry University, Beijing 100083, China)

Abstract

The Hu-Bao-O-Yu urban agglomeration is an important energy exporting and high-end chemical base in China, and is an important source of carbon emissions in China. The early achievement of peak carbon emissions in this region is particularly crucial to achieving the national carbon emission reduction targets. However, there is a lack of multi-factor system dynamics analysis of resource-dependent urban agglomerations in Northwest China, as most studies have focused on single or static aspects of developed urban agglomerations. This paper analyses the relationship between carbon emissions and their influencing factors, constructs a carbon emission system dynamics model for the Hu-Bao-O-Yu urban agglomeration, and sets up different single regulation and comprehensive regulation scenarios to simulate and predict the carbon peak time, peak value, and emission reduction potential of each city and urban agglomeration under different scenarios. The results show that: (1) Hohhot and Baotou are expected to reach peak carbon by 2033 and 2031 respectively, under the baseline scenario, while other regions and the urban agglomeration will not be able to reach peak carbon by 2035. (2) Under single regulation scenarios, the effect of factors other than the energy consumption varies across cities, but the energy consumption and environmental protection input are the main factors affecting carbon emissions in the urban agglomeration. (3) A combination of the economic growth, industrial structure, energy policy, environmental protection, and technology investment is the best measure to achieve carbon peaking and enhance the carbon emission reduction in each region as soon as possible. In the future, we need to coordinate the economic development, energy structure optimisation and transformation, low-carbon transformation of industry, strengthen research on carbon sequestration technology, and further increase the investment in environmental protection to make the Hu-Bao-O-Yu urban agglomeration a resource-saving urban agglomeration with an optimal emission reduction.

Suggested Citation

  • Xuanwei Ning & Yushuang He & Jiayi Zhang & Chengliang Wu & Yang Zhang, 2023. "Analysis of Carbon Emission Projections and Reduction Potential of Resource-Dependent Urban Agglomerations from the Perspective of Multiple Scenarios—A Case Study of Hu-Bao-O-Yu Urban Agglomeration," IJERPH, MDPI, vol. 20(5), pages 1-25, February.
  • Handle: RePEc:gam:jijerp:v:20:y:2023:i:5:p:4250-:d:1082304
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/5/4250/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/20/5/4250/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Shuhua Zhang & Jian Li & Bao Jiang & Tianmiao Guo, 2023. "Government Intervention, Structural Transformation, and Carbon Emissions: Evidence from China," IJERPH, MDPI, vol. 20(2), pages 1-19, January.
    3. Nasser Shahsavari-Pour & Sadegh Bahador & Azim Heydari & Afef Fekih, 2022. "Analyzing Tehran’s Air Pollution Using System Dynamics Approach," Sustainability, MDPI, vol. 14(3), pages 1-16, January.
    4. Tao Shen & Runpu Hu & Peilin Hu & Zhang Tao, 2023. "Decoupling between Economic Growth and Carbon Emissions: Based on Four Major Regions in China," IJERPH, MDPI, vol. 20(2), pages 1-18, January.
    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. Hanyue Fang & Hongbing Li, 2024. "Analysis of Influencing Factors and Prediction of the Peak Value of Industrial Carbon Emission in the Sichuan-Chongqing Region," Sustainability, MDPI, vol. 16(11), pages 1-24, May.
    2. Haoran Li & Yang Liu & Yixiao Li & Xiaoxi Li & Shuyi Yan & Xi Zheng, 2024. "How to Realize Synergistic Emission Reduction in Future Urban Agglomerations: Spatial Planning Approaches to Reducing Carbon Emissions from Land Use: A Case Study of the Beijing–Tianjin–Hebei Region," Land, MDPI, vol. 13(4), pages 1-28, April.

    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. 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. Yuanying Chi & Situo Xu & Xiaolei Yang & Jialin Li & Xufeng Zhang & Yahui Chen, 2023. "Research on Beijing Manufacturing Green-Oriented Transition Path under “Double Carbon” Goal-Based on the GML-SD Model," Sustainability, MDPI, vol. 15(9), pages 1-17, May.
    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. Dongli Chen & Qianxuan Huang, 2024. "The New Policy for Innovative Transformation in Regional Industrial Chains, the Conversion of New and Old Kinetic Energy, and Energy Poverty Alleviation," Energies, MDPI, vol. 17(11), pages 1-37, May.
    5. Jiao, Lei & Xie, Baiwei & Lu, Sijin, 2023. "Understanding the economy of natural resources: Fundamental role of natural resources in sustainable development," Resources Policy, Elsevier, vol. 86(PB).
    6. Yanqing Xu & Yan Liu & Ruidun Chen & Yifei Meng & Kenan Li & Cong Fu, 2023. "Study on the spatio-temporal evolution characteristics and driving mechanism of China’s carbon emissions," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-11, December.
    7. Yuhao Yang & Ruixi Dong & Xiaoyan Ren & Mengze Fu, 2024. "Exploring Sustainable Planning Strategies for Carbon Emission Reduction in Beijing’s Transportation Sector: A Multi-Scenario Carbon Peak Analysis Using the Extended STIRPAT Model," Sustainability, MDPI, vol. 16(11), pages 1-23, May.
    8. Hui Guo & Wei Sun, 2024. "Carbon Balance Zoning and Spatially Synergistic Carbon Reduction Pathways—A Case Study in the Yangtze River Delta in China," Land, MDPI, vol. 13(7), pages 1-20, June.
    9. Claudia Diana Sabău-Popa & Diana Claudia Perțicaș & Adrian Florea & Luminița Rus & Hillary Wafula Juma, 2024. "Is Younger Population Generating Higher CO 2 Emissions? A Dynamic Panel Analysis on European Countries," Sustainability, MDPI, vol. 16(17), pages 1-20, September.
    10. Yali Liu & Zhi Li & Haonan Chen & Xiaoning Cui, 2024. "Impact of Big Data on Carbon Emissions: Empirical Evidence from China’s National Big Data Comprehensive Pilot Zone," Sustainability, MDPI, vol. 16(19), pages 1-23, September.

    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:jijerp:v:20:y:2023:i:5:p:4250-:d:1082304. 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.