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

  • Lemuel Kenneth David
  • , Jianling Wang
  • , Vanessa Angel
  • , Nosheen Amjad
  • Xi'an Jiaotong University
  • West Chester University

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

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.

Original languageEnglish
Pages (from-to)128-157
Number of pages30
JournalJournal of the Asia Pacific Economy
Volume30
Issue number1
DOIs
StatePublished - 2025

Keywords

  • Chinese business environment
  • ESG dynamics
  • multidimensional ESG model
  • predictive machine learning
  • sustainable corporate practices

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