How does ESG administrative embedding affect corporate green total factor productivity? Evidence from China

Against the backdrop of China's dual carbon goals, ESG (Environmental, Social and Governance) has become a key lever for governments to drive corporate green development. This study utilizes data from Chinese A-share listed companies from 2007 to 2023, combines Python natural language processing technology to construct an ESG administrative embedding index, and employs the EBM-GML model to measure corporate green total factor productivity(GTFP). It thoroughly examines the impact of ESG administrative embedding on corporate GTFP. Findings reveal a U-shaped relationship between ESG administrative embedding and corporate GTFP: low-intensity embedding inhibits green development, while high-intensity embedding promotes it. Threshold effect model tests confirm this U-shaped pattern. Heterogeneity analysis indicates this relationship is more pronounced in state-owned enterprises, heavily polluting industries, and firms with low marketization levels. Further analysis indicates that ESG administrative embedding primarily influences corporate GTFP through cognitive reinforcement, resource compensation, and information disclosure mechanisms. Additionally, executive political connections and external social oversight exert positive moderating effects on the U-shaped relationship between ESG administrative embedding and corporate GTFP. This study reveals the nonlinear relationship between ESG administrative embedding and corporate green development from a government-led perspective, offering insights for advancing the localization of ESG in China and promoting corporate green and low-carbon transformation. • Building ESG Administrative Embedding Indicators Using Python Natural Language Processing Techniques. • Employing the EBM-GML Model to Measure Corporate Green Total Factor Productivity. • ESG Administrative Embedding Exhibits a U-Shaped Relationship with Corporate GTFP. • Influence is generated through enhanced awareness, resource compensation, and signal transmission. • Political Governance and External Oversight Play a Positive Moderating Role.

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Publication Details

Journal
International Review of Economics & Finance
Published
2025-11-25
DOI
https://doi.org/10.1016/j.iref.2025.104779
Citations
3
Primary Topic
Corporate Social Responsibility Reporting
Type
article
Field-Weighted Citation Impact
6.68
Controls
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article

How does ESG administrative embedding affect corporate green total factor productivity? Evidence from China

Zhiwen Xiao, Yuesong Zou
3 citations
International Review of Economics & Finance
Corporate Social Responsibility Reporting
6.68
article

How does ESG administrative embedding affect corporate green total factor productivity? Evidence from China

Zhiwen Xiao, Yuesong Zou
article en
3 citations

Abstract

Against the backdrop of China's dual carbon goals, ESG (Environmental, Social and Governance) has become a key lever for governments to drive corporate green development. This study utilizes data from Chinese A-share listed companies from 2007 to 2023, combines Python natural language processing technology to construct an ESG administrative embedding index, and employs the EBM-GML model to measure corporate green total factor productivity(GTFP). It thoroughly examines the impact of ESG administrative embedding on corporate GTFP. Findings reveal a U-shaped relationship between ESG administrative embedding and corporate GTFP: low-intensity embedding inhibits green development, while high-intensity embedding promotes it. Threshold effect model tests confirm this U-shaped pattern. Heterogeneity analysis indicates this relationship is more pronounced in state-owned enterprises, heavily polluting industries, and firms with low marketization levels. Further analysis indicates that ESG administrative embedding primarily influences corporate GTFP through cognitive reinforcement, resource compensation, and information disclosure mechanisms. Additionally, executive political connections and external social oversight exert positive moderating effects on the U-shaped relationship between ESG administrative embedding and corporate GTFP. This study reveals the nonlinear relationship between ESG administrative embedding and corporate green development from a government-led perspective, offering insights for advancing the localization of ESG in China and promoting corporate green and low-carbon transformation. • Building ESG Administrative Embedding Indicators Using Python Natural Language Processing Techniques. • Employing the EBM-GML Model to Measure Corporate Green Total Factor Productivity. • ESG Administrative Embedding Exhibits a U-Shaped Relationship with Corporate GTFP. • Influence is generated through enhanced awareness, resource compensation, and signal transmission. • Political Governance and External Oversight Play a Positive Moderating Role.

International Review of Economics & FinanceVol. 104
Jiangxi University of Finance and Economics (CN)
Openalex Percentile: Top 3%
Corporate Social Responsibility Reporting
6.68
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