Enterprise Digitalization and ESG Performance: Evidence from Interpretable AI Large Language Models

In recent years, enterprise digitalization has garnered significant attention in business practices, yet its impact on environmental, social, and governance (ESG) performance remains underexplored. This study focuses on two core questions: (1) How can enterprise digitalization be measured more effectively? (2) How does digitalization affect the three dimensions of ESG, and through what mechanisms? Based on annual reports of A-share-listed companies in Shanghai and Shenzhen from 2013 to 2022, we construct an innovative measurement of digitalization using an interpretable AI large language model. Panel regression and mechanism analysis reveal that digitalization significantly enhances ESG performance, primarily through three mechanisms: improving energy efficiency, increasing social concern, and strengthening internal controls. Heterogeneity analysis shows that this effect is more pronounced among large and state-owned enterprises. This study proposes a replicable and transferable approach to measuring digitalization, offering empirical evidence and practical insights for firms and policymakers.

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Publication Details

Journal
Systems
Published
2025-09-22
DOI
https://doi.org/10.3390/systems13090832
Citations
2
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
4.21
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article

Enterprise Digitalization and ESG Performance: Evidence from Interpretable AI Large Language Models

Ning Chen, Rui Tang, Hangzhang Kou
2 citations
Systems
Impact of AI and Big Data on Business and Society
4.21
article

Enterprise Digitalization and ESG Performance: Evidence from Interpretable AI Large Language Models

Ning Chen, Rui Tang, Hangzhang Kou
article en
2 citations

Abstract

In recent years, enterprise digitalization has garnered significant attention in business practices, yet its impact on environmental, social, and governance (ESG) performance remains underexplored. This study focuses on two core questions: (1) How can enterprise digitalization be measured more effectively? (2) How does digitalization affect the three dimensions of ESG, and through what mechanisms? Based on annual reports of A-share-listed companies in Shanghai and Shenzhen from 2013 to 2022, we construct an innovative measurement of digitalization using an interpretable AI large language model. Panel regression and mechanism analysis reveal that digitalization significantly enhances ESG performance, primarily through three mechanisms: improving energy efficiency, increasing social concern, and strengthening internal controls. Heterogeneity analysis shows that this effect is more pronounced among large and state-owned enterprises. This study proposes a replicable and transferable approach to measuring digitalization, offering empirical evidence and practical insights for firms and policymakers.

SystemsVol. 13(9)
Sun Yat-sen University (CN), Renmin University of China (CN)
Openalex Percentile: Top 5%
Impact of AI and Big Data on Business and Society
4.21
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Enterprise Digitalization and ESG Performance: Evidence from Interpretable AI Large Language Models — Ning Chen, Rui Tang, et al. · Systems (2025) | TGRS Research Map | TGRS