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

26 Pages Posted: 24 Sep 2024

See all articles by Zhanli Li

Zhanli Li

Zhongnan University of Economics and Law

Zichao Yang

Wenlan School of Business, Zhongnan University of Economics and Law

Date Written: October 09, 2024

Abstract

This paper examines how ESG rating disagreement (Dis) affects corporate total factor productivity (TFP) in China based on data of A-share listed companies from 2015 to 2022. We find that Dis reduces TFP, especially in state-owned, non-capital-intensive, and low-pollution firms. Mechanism analysis shows that green innovation strengthens the dampening effect of Dis on TFP, and that Dis lowers corporate TFP by increasing financing constraints. Furthermore, XGBoost regression demonstrates that Dis plays a significant role in predicting TFP, with SHAP showing that the dampening effect of ESG rating disagreement on TFP is still pronounced in firms with large Dis values.

Keywords: ESG rating disagreement, Total factor productivity, Green innovation, Financing constraints, Machine learning

Suggested Citation

Li, Zhanli and Yang, Zichao, ESG Rating Disagreement and Corporate Total Factor Productivity: Inference and Prediction (October 09, 2024). Available at SSRN: https://ssrn.com/abstract=4936528 or http://dx.doi.org/10.2139/ssrn.4936528

Zhanli Li (Contact Author)

Zhongnan University of Economics and Law ( email )

No.143, Wuluo Road
Wuhan, Hubei 430073
China

Zichao Yang

Wenlan School of Business, Zhongnan University of Economics and Law ( email )

No.143, Wuluo Road
Wuhan, Hubei 430073
China

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
55
Abstract Views
141
Rank
730,496
PlumX Metrics