IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v13y2024i10p1723-d1503046.html
   My bibliography  Save this article

Optimized Resource Allocation for Sustainable Development in Beijing: Integrating Water, Land, Energy, and Carbon Nexus

Author

Listed:
  • Yanning Gao

    (School of Government, Beijing Normal University, Beijing 100875, China
    School of Design and the Built Environment, Curtin University, Perth 6102, Australia)

  • Xiaowen Shi

    (School of Government, Beijing Normal University, Beijing 100875, China
    School of Design and the Built Environment, Curtin University, Perth 6102, Australia)

  • Haozhe Zhang

    (School of Economics and Management, Wuhan University, Wuhan 430072, China)

  • Renwu Tang

    (School of Government, Beijing Normal University, Beijing 100875, China)

Abstract

Chinese megacities face significant challenges in reducing carbon emissions while balancing economic growth and social welfare. This study constructs an innovative multi-objective optimization model, the SD-NSGA-III model, integrated with a System Dynamics (SD) model and using the Non-dominated Sorting Genetic Algorithm III (NSGA-III) to optimize resource allocation in Beijing. The model targets environmental, economic, and social goals by establishing a water–land–energy–carbon (WLEC) nexus for analyzing resource allocation strategies and carbon reduction pathways under various constraints. Scenario simulations under the efficiency-oriented scenario indicated a potential reduction in energy carbon emissions of 81.4% by 2030. The fairness-oriented scenario revealed significant trade-offs between equity and emission reductions, emphasizing the need for balanced strategies. Introducing constraints on resources and economic growth significantly reduced median energy carbon emissions to 80 million tons by 2030. These findings demonstrate the effectiveness of the SD-NSGA-III model in providing actionable strategies for achieving carbon neutrality and sustainable development in cities.

Suggested Citation

  • Yanning Gao & Xiaowen Shi & Haozhe Zhang & Renwu Tang, 2024. "Optimized Resource Allocation for Sustainable Development in Beijing: Integrating Water, Land, Energy, and Carbon Nexus," Land, MDPI, vol. 13(10), pages 1-17, October.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:10:p:1723-:d:1503046
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/13/10/1723/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/13/10/1723/
    Download Restriction: no
    ---><---

    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:jlands:v:13:y:2024:i:10:p:1723-:d:1503046. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.