Media attention, negative reports and textual information of banks’ ESG disclosure

Wei Zhou, Fangmin Chen, Yingying Zhu, Lizhu Xiang and Lingli Lei

International Review of Economics & Finance, 2024, vol. 96, issue PB

Abstract: This paper applies text analysis method and Baidu sentiment tendency analysis model to identify the text characteristics of bank ESG information disclosure, and explores the impact of media attention and negative reports on the text of bank ESG as well as the influence mechanism. The study finds that the higher the media attention, the stronger the positive sentiment of bank ESG information disclosure text, and the lower the readability. Similarly, negative media coverage is positively related to the sentiment of bank ESG text, and negatively related to the readability of the text. Mechanism analysis shows that media attention and negative reports can inhibit banks' active risk-taking, increase analysts' attention to banks as well, and then affect banks' ESG disclosure behavior. Heterogeneity analysis shows that the impact of media attention and negative reports on ESG disclosure text is more obvious for banks with higher capital adequacy ratio and lower weighted risk assets ratio. This paper examines the impact of media governance on bank ESG disclosure behavior from the perspective of text big data analysis, which is a useful supplement to the research on ESG disclosure.

Keywords: Media attention; Negative reports; ESG disclosure; Text sentiment; Text readability (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:reveco:v:96:y:2024:i:pb:s1059056024005756

DOI: 10.1016/j.iref.2024.103583

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