IDEAS home Printed from https://ideas.repec.org/a/taf/rjapxx/v30y2025i1p128-157.html
   My bibliography  Save this article

ESG scoring and forecasting in China: advancing sustainable business with multidimensional modeling

Author

Listed:
  • Lemuel Kenneth David
  • Jianling Wang
  • Vanessa Angel
  • Nosheen Amjad

Abstract

The triad of Environmental, Social, and Governance (ESG) determinants in the contemporary global business environment has become integral to corporate longevity and ethical performance. With China’s significant economic influence and unique socio-cultural tapestry, understanding its ESG dynamics is crucial for domestic and international stakeholders. This comprehensive research introduces an innovative multidimensional ESG scoring paradigm designed for the Chinese market. Built on a robust data foundation from Bloomberg, this model encompasses an 11-year trajectory of 1,496 companies, making it one of the most exhaustive studies in this domain. Integrating advanced mathematical and machine learning models and techniques augments the model’s predictive accuracy and ensures its resilience to rigorous validation processes. By delving deep into the complexities of China’s ESG landscape, this study elucidates the intricate interdependencies of these factors, thereby offering a roadmap for sustainable business practices in China.

Suggested Citation

  • Lemuel Kenneth David & Jianling Wang & Vanessa Angel & Nosheen Amjad, 2025. "ESG scoring and forecasting in China: advancing sustainable business with multidimensional modeling," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 30(1), pages 128-157, January.
    • Handle: RePEc:taf:rjapxx:v:30:y:2025:i:1:p:128-157
    DOI: 10.1080/13547860.2023.2273017
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13547860.2023.2273017
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/13547860.2023.2273017?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    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:taf:rjapxx:v:30:y:2025:i:1:p:128-157. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/rjap .

    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.