Imitation behavior in environmental, social, and governance disclosure: Textual analysis evidence from Chinese listed enterprises

Business Ethics, the Environment and Responsibility (forthcoming)
  Copy   BIBTEX

Abstract

The era of sustainable transformation has witnessed an increase in corporate environmental, social, and governance (ESG) disclosure waves. Using Chinese A-share listed companies from 2016 to 2021 as a sample, this study adopted textual analysis and machine-learning techniques to analyze ESG reports and explore the imitation behavior of ESG disclosures in emerging Chinese markets for the first time. The results show imitation behavior exists in corporate ESG disclosures from the perspective of group association. Regarding the imitation object, enterprises tend to choose the peer average level as a reference rather than the best enterprise in the same industry, which reveals the inherent law that enterprises' ESG disclosures are satisfied with compliance rather than championship. In terms of effects, the ESG-mimetic isomorphic pressure has no incremental information effect but has an efficiency optimization effect. Furthermore, the imitation intensity and impact effects of ESG disclosure behavior exhibit heterogeneity owing to differences in properties, sales growth rates, and external attention. This study expands the motivation for corporate ESG disclosure behavior and enriches the empirical evidence for institutional isomorphism.

Other Versions

No versions found

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 99,322

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

Company ESG performance and institutional investor ownership preferences.Li Wei & Wu Chengshu - 2024 - Business Ethics, the Environment and Responsibility 33 (3):287-307.

Analytics

Added to PP
2024-04-09

Downloads
20 (#918,862)

6 months
8 (#457,359)

Historical graph of downloads
How can I increase my downloads?

Author Profiles

Yan Zhang
Stockholm University
Xiang Li
University of Toronto

Citations of this work

No citations found.

Add more citations

References found in this work

No references found.

Add more references