JOURNAL ARTICLE

Media coverage of corporate wrongdoing: International evidence on the stock market reaction and the buffering effect of prior corporate social performance.

  • Published In: Corporate Social Responsibility & Environmental Management, 2024, v. 31, n. 4. P. 2670 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Gutknecht, Dominic 3 of 3

Abstract

Using an international sample of 111,251 news published in print, online, and social media between 2007 and 2021 covering 3202 firms in 20 countries, I find that superior prior corporate social performance (CSP) buffers the adverse market reaction to media coverage of corporate social irresponsibility (CSI), indicating that stakeholders interpret the misbehaviour as an anomaly rather than a pattern. Generally, the magnitude of the negative market reaction to CSI news intensified over time, confirming increased social awareness of corporate responsibility. I complement existing literature by revealing a diminishing marginal benefit of prior CSP: the buffering effect is consistently positive while strongly flattening, suggesting that stakeholders are somewhat indifferent between good and excellent CSP but highly sensitive towards previous misbehaviour. The shareholder value loss and insurance‐like effect of prior CSP are enhanced for firms located in stakeholder‐oriented business cultures, indicating that societal culture shapes stakeholders' attitudes towards corporate responsibility. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Corporate Social Responsibility & Environmental Management. 2024/07, Vol. 31, Issue 4, p2670
  • Document Type:Article
  • Subject Area:Business and Management
  • Publication Date:2024
  • ISSN:1535-3958
  • DOI:10.1002/csr.2700
  • Accession Number:178229037
  • Copyright Statement:Copyright of Corporate Social Responsibility & Environmental Management is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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