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Implementing ESG is crucial for China’s modernization journey and corporate sustainability. To deeply understand the current standing of ESG in China, this study leverages online data richness using text mining techniques, specifically Latent Dirichlet Allocation (LDA) and ego network analysis. LDA is utilized to identify prevalent discussion topics on ESG, while ego network analysis is applied to examine the relationships and influences among key stakeholders. The scientific aim of this research is to identify prevalent ESG discussion topics, examine the relationships and influences among stakeholders, and determine core ESG focus areas on Chinese society. The findings highlight popular discussion topics such as ESG investment, the ESG notion, green finance transformation, and ESG rating. These topics underscore China’s growing concern for environmental protection and social responsibility. The core discussion areas focus on sustainable development, company social responsibility, and eco-friendliness, framing harmonized progress across economic, social, and environmental realms. Interestingly, governance discourse is sparse; the reasons are analyzed. Through the analysis of online discussions on China’s ESG, this study aims to enhance policymakers’ and participants’ understanding of the true status of China’s ESG, being of practical significance for policy formulation and appropriate ESG strategies.
Yang et al. (Thu,) studied this question.