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Cited by 1,218

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The public disclosure of environmental performance information—a dual test of media agenda setting theory and legitimacy theory

Brown, Noel, Deegan, Craig·1998·Accounting and Business Research

Abstract

This paper documents the results of an empirical study undertaken within Australia of the relationship between the print media coverage given to various industries' environmental effects, and the levels of annual report environmental disclosures made by a sample of firms within those industries. The paper draws upon previous studies in media agenda setting theory and legitimacy theory to develop two testable hypotheses. Nine industries are reviewed across the period from 1981–1994. Drawing upon two theories, it is argued that the media can be particularly effective in driving the community's concern about the environmental performance of particular organisations (from media agenda setting theory). Where such concern is raised, organisations will respond by increasing the extent of disclosure of environmental information within the annual report (from legitimacy theory). The results indicate that for the majority of the industries studied, higher levels of media attention (as determined by a review of a number of print media newspapers and journals) are significantly associated with higher levels of annual report environmental disclosures.

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Metadata

Authors
Brown, N., & Deegan, C.
Venue
Accounting and Business Research
Published
1998-12
Volume
29
Issue
1
Pages
21-41
ISSN
  • 0001-4788 (ISSN-L)
  • 2159-4260
OpenAlex
W2069857911
Cited by
1,218
References
0
FWCI
28.23
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The public disclosure of environmental performance information—a dual test of media agenda setting theory and legitimacy theory. https://app.cochat.ai/papers/10.1080/00014788.1998.9729564
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Brown, N., & Deegan, C. (1998). The public disclosure of environmental performance information—a dual test of media agenda setting theory and legitimacy theory. Accounting and Business Research. https://doi.org/10.1080/00014788.1998.9729564

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.