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Record W2101088496 · doi:10.1002/bse.1785

Environmental, Social and Governance Reporting in China

2013· article· en· W2101088496 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.

Bibliographic record

VenueBusiness Strategy and the Environment · 2013
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Social Responsibility Reporting
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsAccountabilityAccountingCorporate governanceBusinessChinaStakeholderStock (firearms)Stakeholder theoryQuality (philosophy)Sustainability reportingStock exchangeCorporate social responsibilityFinancePublic relationsPolitical science

Abstract

fetched live from OpenAlex

ABSTRACT What is the current state of environmental, social and governance (ESG) reporting and what is the relation between ESG reporting and the financial performance of Chinese companies? This study analyses corporate ESG disclosure in China between 2005 and 2012 by analysing the members of the main indexes of the biggest Chinese stock exchanges. After discussing theories that explain the ESG performance of firms such as institutional theory, accountability and stakeholder theory we present uni‐ and multivariate statistical analyses of ESG reporting and its relation to environmental and financial performance. Our results suggest that ownership status and membership of certain stock exchanges influence the frequency of ESG disclosure. In turn, ESG reporting influences both environmental and financial performance. We conclude that the main driver for ESG disclosure is accountability and that Chinese corporations are catching up with respect to the frequency of ESG reporting as well as with respect to the quality. Copyright © 2013 John Wiley & Sons, Ltd and ERP Environment

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.284
Threshold uncertainty score0.585

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.018
GPT teacher head0.213
Teacher spread0.195 · 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