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Record W2897203161 · doi:10.1002/csr.1688

Institutional transitions and the role of financial performance in CSR reporting

2018· article· en· W2897203161 on OpenAlexaff
Weizhang Sun, Chunguang Zhao, Charles H. Cho

Bibliographic record

VenueCorporate Social Responsibility and Environmental Management · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Social Responsibility Reporting
Canadian institutionsYork University
FundersChina Postdoctoral Science FoundationNatural Science Foundation of Shandong ProvinceNational Research Foundation of KoreaMinistry of Education
KeywordsCorporate social responsibilityExtant taxonBusinessAccountingAffect (linguistics)Quality (philosophy)Relation (database)FinancePublic relationsPolitical science

Abstract

fetched live from OpenAlex

Abstract While many extant studies focus on the relation between financial performance and corporate social responsibility (CSR) reporting, less attention has been given to the shifting role of financial performance in CSR reporting in a changing institutional environment. The objective of this study is to investigate whether, why, and how institutional transitions affect the role of financial performance in CSR reporting. Using samples of A‐share listed companies from 2008 to 2015, we separately examine the impacts of institutional transitions on firms' propensity to issue standalone CSR reports, the quality of voluntary CSR reports, and the quality of mandatory CSR reports. We find that financial performance buffers against external pressures brought by institutional transitions rather than only serving as a slack resource. By highlighting the buffer role of financial performance, our study provides deeper insights on the relation between financial performance and CSR reporting and contributes to extant institutional research on CSR reporting.

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 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)0.003
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 score0.366
Threshold uncertainty score0.807

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
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 head0.021
GPT teacher head0.219
Teacher spread0.198 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations51
Published2018
Admission routes1
Has abstractyes

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