IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v18y2025i20p5339-d1768226.html
   My bibliography  Save this article

China’s Smart Energy Policy Evaluation Based on Policy Modelling Consistency Index

Author

Listed:
  • Rongjiang Cai

    (Faculty of Humanities and Social Sciences, Macao Polytechnic University, Macao 999078, China)

  • Tao Zhang

    (Faculty of Humanities and Social Sciences, Macao Polytechnic University, Macao 999078, China)

  • Xi Wang

    (Faculty of Humanities and Social Sciences, Macao Polytechnic University, Macao 999078, China)

  • Shufang Zhao

    (Faculty of Humanities and Social Sciences, Macao Polytechnic University, Macao 999078, China)

  • Hang Yang

    (Faculty of Humanities and Social Sciences, Macao Polytechnic University, Macao 999078, China)

  • Qixiang Geng

    (Faculty of Humanities and Social Sciences, Macao Polytechnic University, Macao 999078, China)

Abstract

Against the backdrop of China’s “dual carbon” goals of achieving carbon peaking by 2030 and carbon neutrality by 2060. Traditional qualitative evaluations struggle with subjectivity; therefore we apply the quantitative PMC Index to systematically assess smart energy policies. This research systematically analyzes 16 representative Chinese smart energy policies using the PMC model, combined with content analysis. An integrated analytical framework was constructed to examine PMC applications across different energy policy fields. Results demonstrate that China’s smart energy policies achieved excellent performance, with an average PMC score of 7.48 out of 10. Furthermore, 68.75% of policies (11 out of 16) reached the ‘excellent’ level (PMC ≥ 8.0), with Policy “P6” achieving the highest score of 8.88 points. Top-performing policies exhibited strong strategic coordination, clear objectives, and comprehensive supporting measures. The findings reveal a well-structured policy cluster with clear objectives and strong coordination. This mature policy package provides a solid institutional foundation for China’s energy system transformation toward smart and green development, offering valuable insights for energy policy optimization and quantitative assessment methodology improvement.

Suggested Citation

  • Rongjiang Cai & Tao Zhang & Xi Wang & Shufang Zhao & Hang Yang & Qixiang Geng, 2025. "China’s Smart Energy Policy Evaluation Based on Policy Modelling Consistency Index," Energies, MDPI, vol. 18(20), pages 1-30, October.
  • Handle: RePEc:gam:jeners:v:18:y:2025:i:20:p:5339-:d:1768226
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/18/20/5339/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/18/20/5339/
    Download Restriction: no
    ---><---

    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:gam:jeners:v:18:y:2025:i:20:p:5339-:d:1768226. 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.