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Record W2189366506

Environmental Liabilities and the Move to International Financial Reporting Standards

2010· article· en· W2189366506 on OpenAlexaboutno aff
Thomas Schneider

Bibliographic record

VenueSSRN Electronic Journal · 2010
Typearticle
Languageen
FieldEnergy
TopicGlobal Energy and Sustainability Research
Canadian institutionsnot available
Fundersnot available
KeywordsAccountingGlobeInternational Financial Reporting StandardsBusinessOil sandsFinanceEnvironmental accountingQuarter (Canadian coin)Accounting standardFinancial accountingAccounting information systemGeography
DOInot available

Abstract

fetched live from OpenAlex

Recent reports from environmental non-governmental organizations (ENGOs) such as the Pembina Institute and the Environmental Law Centre in Canada, as well as investor groups such as Ceres and The Ethical Funds Company, have addressed the growing concern over environmental liabilities related to operations in Alberta’s oil sands (Lemphers et al. 2010, Reuter et al. 2010, The Ethical Funds Company 2008, Watt 2010). Furthermore, environmental obligations are beginning to take a real bite out of the financial statements of firms operating in this sector. For example, a recent Globe and Mail article (Taylor 2010) on the owner of the largest single share in the Syncrude operation, Canadian Oil Sands Trust, notes that the almost $1 billion in spending next year it has allocated to its plants are primarily for moving equipment around and meeting environmental obligations, rather than improving plant efficiencies (Canadian Oil Sands Trust 2010). Concurrent to this is a change in the accounting rules for Canadian public companies. Canadian public companies are in the process of moving from reporting under old Canadian Generally Accepted Accounting Principles (GAAP) to International Financial Reporting Standards (IFRS), which is now officially Canadian (public company) GAAP. This transition must take place for fiscal years ending after December 31st, 2010; which means that the first quarter financial reports for 2011 will be based on IFRS. This will include comparative information as it pertains to 2010. With the move to IFRS, one of the key areas affecting firms in extractive industries pertains to the accounting rules by which environmental liabilities are accounted for. For firms in these industries, environmental matters play a major role in operations. The change in accounting rules will have a material effect on the total amount of environmental liabilities reported and the way in which they are expensed over time. I expect that under IFRS, more environmental liabilities will be recognised in the financial statements of firms operating in extractive industries, such as oil and gas and mining. However, there are certain mitigating factors that may be strong enough such that we see no significant increase in the reported environmental liabilities of these firms. The actual settling of these liabilities will occur in the coming decades. Under old Canadian GAAP and IFRS, these liabilities are recognised in the financial statements based on their present value. This is typically done by using a discount rate and the usual methods of calculating the present value of a future obligation. The new IFRS rules are very sensitive to the discount rate used and there is some debate as to exactly how the new discount rate should be calculated. Thus, although the new accounting standards under IFRS dictate that more specific environmental liabilities be recognised in the financial statements, this may be offset by changes in the way that they are quantified. This report discusses the potential impact the move to IFRS is expected to have on firms with mining operations in Alberta’s oil sands. It details the changes in accounting methods and the potential impact on these firms with regards to the reporting and expensing of environmental liabilities. The discussion can be generalized to the overall oil and gas and mining sectors. However, the significant environmental challenges that are faced by the handful of firms mining in Alberta’s oil sands make the move to IFRS an interesting one to follow.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.178
metaresearch head score (Gemma)0.336
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.277
Threshold uncertainty score0.940

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1780.336
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0120.017
Science and technology studies0.0060.018
Scholarly communication0.0350.031
Open science0.0090.007
Research integrity0.0120.022
Insufficient payload (model declined to judge)0.0090.003

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 head0.004
GPT teacher head0.254
Teacher spread0.251 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2010
Admission routes1
Has abstractyes

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