THE MECHANISM AND EFFECTIVENESS OF AI-DRIVEN ESG RATINGS FOR MANUFACTURING ENTERPRISES
Keywords:
Artificial intelligence, Manufacturing, ESGAbstract
In the continuous evolution and development of artificial intelligence, enhancing the ESG of manufacturing enterprises is of great significance for promoting the high-quality and sustainable development of manufacturing enterprises. This paper uses Chinese manufacturing enterprises from 2009 to 2022 as sample data to empirically examine the impact and mechanism of artificial intelligence on the ESG of manufacturing enterprises. Artificial intelligence can effectively promote the development of ESG in manufacturing enterprises, and this result remains valid after a series of robustness tests. The heterogeneity test results show that AI can effectively promote ESG in state-owned manufacturing enterprises that have not yet applied for patents and have a variable equity structure. Further mechanism studies have shown that AI can effectively enhance the ESG of manufacturing enterprises through three channels: reducing financing constraints and resource misallocation rates, and raising awareness of enterprise risk management. The findings provide empirical evidence and policy implications for improving ESG in manufacturing enterprises from the perspective of artificial intelligence.References
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