IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-246-0_80.html

Research on Methods for Predicting Carbon Peak Scenarios

In: Proceedings of the 3rd International Conference on Economic Development and Business Culture (ICEDBC 2023)

Author

Listed:
  • Qiushuang Li

    (State Grid Shandong Electric Power Company, Economic and Technology Research Institute)

  • Yan Li

    (State Grid Shandong Electric Power Company, Economic and Technology Research Institute)

  • Wanlei Xue

    (State Grid Shandong Electric Power Company, Economic and Technology Research Institute)

  • Xin Zhao

    (State Grid Shandong Electric Power Company, Economic and Technology Research Institute)

  • Zhifan Liu

    (State Grid Shandong Electric Power Company, Economic and Technology Research Institute)

  • Ying Bai

    (State Grid Shandong Electric Power Company, Economic and Technology Research Institute)

Abstract

With the proposal of the “carbon peak” and “carbon neutrality” goals, and the implementation of related policies, an increasing number of scholars have conducted research and predictions on energy transition and carbon emissions reduction pathways. This paper examines the latest research progress in this field. Firstly, it summarizes and analyzes the characteristics of carbon peak prediction. Then, it mainly introduces the principles of macroeconomic models, integrated energy-economic system models, and other prediction models, while summarizing their advantages, disadvantages, and applicability. Finally, suggestions are provided for optimizing future research. This paper aims to provide valuable references and guidance for the academic community and government agencies by reviewing and studying the methods for predicting carbon peak scenarios.

Suggested Citation

  • Qiushuang Li & Yan Li & Wanlei Xue & Xin Zhao & Zhifan Liu & Ying Bai, 2024. "Research on Methods for Predicting Carbon Peak Scenarios," Advances in Economics, Business and Management Research, in: Shehnaz Tehseen & Mohd Naseem Niaz Ahmad & Rafia Afroz (ed.), Proceedings of the 3rd International Conference on Economic Development and Business Culture (ICEDBC 2023), pages 662-671, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-246-0_80
    DOI: 10.2991/978-94-6463-246-0_80
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:spr:advbcp:978-94-6463-246-0_80. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.