Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 351

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Environmental performance, legislation and annual report disclosure: the case of acid rain and Falconbridge

Buhr, Nola·1998·Accounting, Auditing & Accountability Journal

Abstract

This paper examines the relationship between environmental performance, legislation and annual report disclosure using the case of Falconbridge and sulphur dioxide emissions over a period from 1964 to 1991. Legitimacy theory and political economy theory are used to evaluate the disclosure. Two key questions are addressed: How did the corporation respond to changing government regulations for sulphur dioxide abatement? and How did the corporation choose to present these abatement activities in its annual reports? These questions are examined through the methodologies of historiography, interviews and content analysis. Falconbridge has always been in compliance with SO 2 regulations (albeit with a government extension in the late 1970s) and has consistently provided disclosure discussing the technological aspects of sulphur dioxide abatement. While political economy theory has explanatory power, legitimacy theory offers a more compelling explanation.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1108/09513579810215455

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 2 references

Cited by

See all 351

Metadata

Authors
Buhr, N.
Venue
Accounting, Auditing & Accountability Journal
Publisher
Emerald
Published
1998-05-01
Volume
11
Issue
2
Pages
163-190
ISSN
0951-3574 (ISSN-L)
OpenAlex
W1981165148
Cited by
351
References
2
FWCI
11.89
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Environmental performance, legislation and annual report disclosure: the case of acid rain and Falconbridge. https://app.cochat.ai/papers/10.1108/09513579810215455
The paper
Buhr, N. (1998). Environmental performance, legislation and annual report disclosure: the case of acid rain and Falconbridge. Accounting, Auditing & Accountability Journal. https://doi.org/10.1108/09513579810215455

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.