Environmental liabilities and diversity in practice under international financial reporting standards
Bibliographic record
Abstract
Purpose The purpose of this paper is to encourage accounting regulators to address diversity in practice in the reporting of environmental liabilities. When Canada changed to International Financial Reporting Standards (IFRS) in 2011, Canadian regulators asked the IFRS Interpretations Committee to interpret whether the discount rate to value environmental liabilities should be a risk-free discount rate. Old Canadian GAAP, and current US GAAP, allow for a higher discount rate, resulting in commensurately lower liabilities. International regulators refused to address this issue expecting no diversity in practice in Canada. Design/methodology/approach The focus is on a sample of Canadian oil and gas and mining firms. These domestic industries play a major role internationally and have significant environmental liabilities. The method is empirical archival, tracking firm characteristics and discount rate choice on transition to IFRS. Findings There is significant diversity in practice. About one-third of the sample firms choose a higher discount rate, avoiding a major increase in environmental liabilities on transition to IFRS. The evidence suggests that these firms have relatively larger environmental liabilities and that the discount rate decision is a strategic choice. Research limitations/implications The sample is based on one country and may only be reflecting local anomalies that have no broader implications. Practical implications Diversity in practice in accounting for environmental liabilities is not acceptable. Accounting regulators should act to create consistent and comparable reporting practice. Social implications Firms and managers facing larger environmental liabilities can choose to minimize environmental liabilities under IFRS, while it is the general public and society at large that bear the ultimate risk. Originality/value The paper pushes forward the debate on whether recognized environmental liabilities should reflect the interests of equity investors, or if other investors and stakeholders should be taken into account.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.146 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.011 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".