| Title |
ESG scoring and forecasting in China: advancing sustainable business with multidimensional modeling |
| ID_Doc |
34534 |
| Authors |
David, LK; Wang, JL; Angel, V; Amjad, N |
| Title |
ESG scoring and forecasting in China: advancing sustainable business with multidimensional modeling |
| Year |
2023 |
| Published |
|
| DOI |
10.1080/13547860.2023.2273017 |
| 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. |
| Author Keywords |
ESG dynamics; Chinese business environment; multidimensional ESG model; predictive machine learning; sustainable corporate practices |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Social Science Citation Index (SSCI) |
| EID |
WOS:001092243500001 |
| WoS Category |
Economics |
| Research Area |
Business & Economics |
| PDF |
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