| Title |
China's ESG scorecard: A predictive machine learning model |
| ID_Doc |
78503 |
| Authors |
David, LK; Wang, JL; Angel, V; Luo, ML |
| Title |
China's ESG scorecard: A predictive machine learning model |
| Year |
2024 |
| Published |
Corporate Social Responsibility And Environmental Management, 31, 4 |
| DOI |
10.1002/csr.2746 |
| Abstract |
In today's globalized business environment, the intersection of Environmental, Social, and Governance (ESG) factors has come to the forefront, shaping the paradigms of Corporate Social Responsibility (CSR) and environmental stewardship. As China, with its economic prowess and distinct socio-cultural milieu, takes center stage, deciphering its ESG dynamics becomes imperative for both local and global stakeholders. This groundbreaking research unveils a pioneering multidimensional ESG scoring system tailored for the Chinese corporate landscape. Drawing on an extensive dataset from Bloomberg, spanning an 11-year period and encompassing 1496 companies, this study stands as a seminal contribution to the ESG literature. By harnessing advanced mathematical explorations coupled with state-of-the-art machine learning techniques, the model's predictive prowess is heightened, ensuring its adaptability and robustness. Venturing beyond mere metrics, this research accentuates the practical implications of ESG in shaping sustainable and responsible business practices in China, thereby catalyzing a more ethically aligned corporate trajectory in the region. |
| Author Keywords |
Chinese business landscape; corporate social responsibility; ESG dynamics; predictive analytics; sustainable business practices |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Social Science Citation Index (SSCI) |
| EID |
WOS:001175379800001 |
| WoS Category |
Business; Environmental Studies; Management |
| Research Area |
Business & Economics; Environmental Sciences & Ecology |
| PDF |
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