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Record W7128732279 · doi:10.26180/4621366.v1

The relationship between environmental performance and environmental disclosure: evidence from Australia

2017· dissertation· W7128732279 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueMonash University · 2017
Typedissertation
Language
FieldBusiness, Management and Accounting
TopicCorporate Social Responsibility Reporting
Canadian institutionsnot available
Fundersnot available
KeywordsVoluntary disclosureSustainabilityAffect (linguistics)DiscretionFlexibility (engineering)Environmental reportingSustainability reportingEnvironmental impact assessment

Abstract

fetched live from OpenAlex

The link between environmental performance and environmental disclosure is not clear, and previous studies in the U.S. and Canada have found mixed relationships. This study researched the disclosure behaviour of 53 Australian listed companies. Quantitative and qualitative research approaches were employed to provide explanations of the relationship between environmental performance and disclosure as the disclosure of environmental information still remains largely voluntary in Australia. Firms have the discretion to disclose additional information, which also gives them flexibility to determine the breadth and depth of their environmental reporting in the non-regulated sections of their annual report, and in other mediums such as environmental reports, sustainability reports and their websites. The quantitative relationship between environmental performance and disclosure was examined first, followed by interviews with company representatives and a review of each company's publicly available documents relating to environmental performance and disclosure. The findings from the quantitative component of the study revealed that environmental performance, measured by emissions divided by sales and Corporate Monitor environmental ratings, has no statistically significant association with environmental disclosure. In addition, the study also found that levels of environmental disclosure were generally low, and there was greater reliance on the use of soft or un-verifiable types of environmental disclosure than on hard or verifiable information. However, industry classifications, company size and capital intensity were found to affect the level of environmental disclosure. Firms may disclose environmental information if they belong to high polluting industries, are large and have outlayed considerable capital expenditure,as has been suggested by voluntary disclosure theory. However, disclosing firms were not found to receive perceived financial benefits such as lower cost of capital (equity), increased share price, better future financial performance, or lower cost of debts. This may suggest either that the financial market in Australia does not value environmental information in the same way that it values financial information, or that firms do not receive significant pressure from the financial market to disclose. Environmental disclosure may thus be limited as firms see the perceived costs as higher than the perceived financial benefits. Further, the findings from the qualitative study highlighted the different drivers of environmental disclosure across four groups, based on perceptual mapping of environmental performance and environmental disclosure. The study found that the high level of environmental disclosure for Greenwashing (poor performance and high disclosure) and Green Companies (good performance and high disclosure) was influenced by the demand of financial markets. In addition, for Green Companies, customers appear to have also demanded more transparency over firms' environmental practices. The low level of environmental disclosure for the Silent Con-panies (poor performance and low disclosure) and Silent Achiever (good performance and low disclosure) groups may have been caused by low demand from their stakeholder base. Stakeholder theory is able to explain the environmental disclosure phenomena in Australia where firms tend to react to stakeholder groups' demands for environmental information. Disclosure can then be seen as a function of stakeholders' demands or pressures, and in the absence of such demand firms may disclose little or stay silent. This may suggest that they use disclosure practices as a public relations tool to satisfy stakeholder needs for information. The low level of environmental disclosure across the sample companies shows that Australian businesses do not appear to believe there is a strong business case to disclose environmental information. The study also revealed that the previous, largely voluntary, requirements for environmental disclosure enabled Australian businesses to disclose environmental information selectively, and this may not necessarily reflect their actual environmental performance. As a consequence, the users of these firms' environmental information may need to interpret the information carefully. The findings of this study also suggest regulators should avoid using a "one size fits all" approach. By understanding the drivers of disclosure, regulators can design regulations which cover all possible behaviours within the environmental performance and environmental disclosure relationship. Regulators may also need to endorse the development of an environmental reporting standard and mandatory audited environmental disclosure for Australian listed firms.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.043
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0060.001
Scholarly communication0.0010.003
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.064
GPT teacher head0.255
Teacher spread0.191 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it