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Record W3174971910 · doi:10.1002/mde.3396

Nexus between corporate social responsibility and earnings management: Sustainable or opportunistic

2021· article· en· W3174971910 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

VenueManagerial and Decision Economics · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Social Responsibility Reporting
Canadian institutionsUniversité de MontréalHEC Montréal
Fundersnot available
KeywordsCorporate social responsibilityNexus (standard)AccrualEarnings managementAccountingOrdinary least squaresBusinessPanel dataEarningsQualitative comparative analysisEconometricsEconomicsPublic relationsStatisticsPolitical science

Abstract

fetched live from OpenAlex

This study examines the association between corporate social responsibility (CSR) and earnings management (EM) among manufacturing firms from a developing economy, Pakistan. To deal with the CSR measurement and data bias, a multimethod approach has applied to measure CSR (both qualitative and quantitative approaches). This research has also established CSR disclosure indices and CSR monetary spending ratio (CSR MSR). Moreover, this research examines both types of EM (accrual‐based as well as real activities‐based) and used annual data set from 2009 to 2018 for 160 nonfinancial firms. For empirical analysis, the two‐stage least square (2SLS) and pooled ordinary least square (POLS) regressions are used. This study finds a negative relationship between CSR and EM, and it supports the notion that firms' commitment to CSR is largely driven by long‐term perspective. However, with respect to each measure of EM and CSR, this relationship is asymmetric.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.663
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.054
GPT teacher head0.264
Teacher spread0.210 · 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