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Record W2052795891 · doi:10.1080/0963818042000339617

Environmental disclosure quality in large German companies: Economic incentives, public pressures or institutional conditions?

2005· article· en· W2052795891 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueEuropean Accounting Review · 2005
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Social Responsibility Reporting
Canadian institutionsUniversité du Québec à Montréal
FundersUniversité Laval
KeywordsIncentiveAccountingGermanScarcityBusinessInstitutional theoryContext (archaeology)Public disclosureQuality (philosophy)Institutional investorPublic economicsEconomicsCorporate governanceFinanceMarket economy

Abstract

fetched live from OpenAlex

Abstract Investors and stakeholders in continental Europe are becoming increasingly concerned about corporate environmental policies. As a result, many firms are voluntarily increasing the extent of their environmental disclosure in their annual report. While mostly unregulated, corporate environmental disclosure does have potential economic significance considering the scarcity of alternative information sources. The purpose of this study is to identify determinants of corporate environmental disclosure using multi-theoretical lenses that rely on economic incentives, public pressures and institutional theory. The study focuses on large firms from a continental Europe country, Germany, with a distinct legal and regulatory context and where environmental concerns are especially acute. Results show that Risk, Ownership, Fixed Assets Age, Firm Size as well as routine determine the level of environmental disclosure by German firms in a given year. Moreover, consistent with institutional theory, results suggest that German firms' disclosure is converging over time. Overall, results strongly suggest that environmental disclosure is multidimensional and is driven by complementary forces.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.548
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.003
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.002

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 head0.044
GPT teacher head0.314
Teacher spread0.270 · 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