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Record W3122863704 · doi:10.20900/jsr20210006

Green Gaps: Firm ESG Disclosure and Financial Institutions’ Reporting Requirements

2021· article· en· W3122863704 on OpenAlex
Jorden Dye, Murdoch McKinnon, Connie Van der Byl

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

VenueJournal of Sustainability Research · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Social Responsibility Reporting
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessDivestmentAccountingSustainability reportingFinanceCorporate governanceSustainabilityClimate FinancePetroleum industryClimate riskFossil fuelInvestment (military)Sample (material)Climate change

Abstract

fetched live from OpenAlex

Background: Globally, governments are responding to climate change. The financial industry has followed, integrating climate risk to their investment decisions via Environment, Social and Governance (ESG) considerations. Firms in environmentally sensitive industries, like oil and gas, are notably scrutinized for their ESG performance especially regarding climate change. Methods: Two samples were selected for a content analysis and comparison of environmental disclosure and investor requirements. The first sample is comprised of the sustainability reports for 30 oil and gas firms operating within Alberta. The second sample includes the ESG reports of 19 financial institutions with investment in the oil and gas industry. This data was triangulated via fieldnotes from conferences and informal discussions with oil and gas and financial industry representatives. Results: We find that both ESG investor requirements and firm disclosures suffer from a lack of standardization. Consequently, the financial industry is moving toward the adoption of the TCFD (Task Force on Climate-related Financial Disclosures) recommendations and the SASB (Sustainability Accounting Standards Board) framework in firm evaluations. European financial institutions have been leading the way in requiring firms to define their climate risk, set targets, measure performance, show improvement, and connect to strategy. Alberta oil and gas companies are responding with more robust ESG disclosure, though SASB and TCFD reporting is not yet widespread. Conclusions: Industry failure to respond to evolving disclosure requirements can lead to divestment. We contend that oil and gas companies that do not acknowledge climate risk and outline energy transition strategies tied to their business models and reputations potentially sacrifice access to capital. We expect firm ESG disclosure, especially radical transparency on environment, to increase as financial institutions execute on climate change risk evaluations. We contribute to the sustainability reporting and ESG literature by showing the impact of investors as stakeholders in effecting change to oil and gas firm level environmental disclosure.

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)0.016
metaresearch head score (Gemma)0.125
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.323
Threshold uncertainty score0.882

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.125
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0000.001
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 head0.148
GPT teacher head0.413
Teacher spread0.265 · 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