ESG Rating Disagreement and Corporate Total Factor Productivity:Inference and Prediction

Zhanli Li
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Abstract

This paper explores the relationship between ESG rating disagreement and total factor productivity (TFP) based on data from Chinese domestic ESG rating agencies and financial data of A-share listed companies in China from 2015 to 2022. On one hand, the empirical results show that ESG rating disagreement reduces corporate TFP, a conclusion that is validated through multiple robustness tests. The mechanism analysis reveals an interaction effect between green innovation and ESG rating disagreement. Specifically, in firms without ESG rating disagreement, green innovation promotes the improvement of TFP; however, in firms with disagreement, although ESG rating disagreement may drive green innovation, this does not lead to an increase in TFP. Furthermore, ESG rating disagreement lower corporate TFP by increasing financing constraints. The heterogeneity analysis indicates that this effect is more pronounced in non-state-owned, asset-intensive, and low-pollution enterprises. On the other hand, XGBoost regression demonstrates that ESG rating disagreement play a significant role in predicting TFP, with SHAP values showing that the main effects are more evident in firms with larger ESG rating disagreement.
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ESG评级分歧与企业全要素生产率:推论与预测
本文基于中国国内ESG评级机构的数据和2015-2022年中国A股上市公司的财务数据,探讨了ESG评级差异与全要素生产率(TFP)之间的关系。一方面,实证结果表明,ESG评级差异降低了企业全要素生产率,这一结论通过多残差检验得到了验证。机制分析揭示了绿色创新与ESG评级分歧之间的交互效应。具体而言,在不存在 ESG 评级分歧的企业中,绿色创新会促进全要素生产率的提高;但在存在分歧的企业中,尽管 ESG 评级分歧会推动绿色创新,但这并不会导致全要素生产率的提高。异质性分析表明,这种效应在非国有企业、资产密集型企业和低污染企业中更为明显。另一方面,XGBoost 回归表明,ESG 评级差异在预测全要素生产率方面发挥着重要作用,SHAP 值表明,ESG 评级差异较大的企业的主要效应更为明显。
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