The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
The effect of DEFRA guidance on greenhouse gas disclosure
Open accessAbstract
This paper investigates the effect of the 2009 guidance of the Department for Environment, Food & Rural Affairs on greenhouse gas (GHG) disclosure. The sample comprises 215 companies from a population of London Stock Exchange FTSE 350 companies over four years (2008–2011). To quantify GHG disclosure, a research index methodology is employed, with information derived from several GHG reporting frameworks. The econometric model is estimated using panel fixed effects. Our findings suggest that the publication of the 2009 guidance has had a significant effect on the level of GHG disclosure, and that corporate governance mechanisms (board size, director ownership, and ownership concentration) also affect the extent of GHG information disclosure. The results also indicate that companies increased their disclosures prior to the 2009 guidance in anticipation of its publication. These results have important implications for the government, suggesting that non-mandatory guidance could increase disclosure as much as do mandatory requirements.
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.
Integrity signals
Registry
Cites
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.
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
Signaling Theory: A Review and Assessment
Connelly, B. L., Certo, S. T., Ireland, R. D., & Reutzel, C. R. (2011) · Journal of Management · doi:10.1177/0149206310388419 · Cited by 6,735
Multiple Regression in Practice
Berry, W., & Feldman, S. (1985) · doi:10.4135/9781412985208 · Cited by 1,227
Corporate environmental disclosures about the effects of climate change
Stanny, E., & Ely, K. (2008) · Corporate Social Responsibility and Environmental Management · doi:10.1002/csr.175 · Cited by 512
Metadata
- Authors
- Tauringana, V., & Chithambo, L.
- Venue
- The British Accounting Review
- Publisher
- Elsevier BV
- Published
- 2015-12
- Volume
- 47
- Issue
- 4
- Pages
- 425-444
- ISSN
- 0890-8389 (ISSN-L)
- OpenAlex
- W2017384195
- Cited by
- 263
- References
- 3
- FWCI
- 22.67
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: The effect of DEFRA guidance on greenhouse gas disclosure. https://app.cochat.ai/papers/10.1016/j.bar.2014.07.002
- The paper
- Tauringana, V., & Chithambo, L. (2015). The effect of DEFRA guidance on greenhouse gas disclosure. The British Accounting Review. https://doi.org/10.1016/j.bar.2014.07.002
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.