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Record W2899203859 · doi:10.1108/srj-03-2018-0056

Relationship between corporate social responsibility and tax avoidance: international evidence

2018· article· en· W2899203859 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

VenueSocial Responsibility Journal · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Taxation and Avoidance
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsTax avoidanceCorporate social responsibilityCorporate taxBusinessAccountingCorporate governanceValue-added taxStatutory lawOriginalityPublic economicsTax reformEconomicsPublic relationsPolitical scienceFinanceLaw

Abstract

fetched live from OpenAlex

Purpose This paper aims to examine the relationship between corporate social responsibility (CSR) and tax avoidance as well as how CSR and country-level governance interplay in affecting tax avoidance in an international setting. Design/methodology/approach This paper is an empirical work using listed companies from 35 countries and relying on several proxies for corporate tax avoidance activities including the difference between the statutory tax rate and the annual effective tax rate, the book-tax difference and the residual book-tax difference. Findings This study finds strong evidence that CSR is positively related to tax avoidance. It also finds that in countries with weak country-level governance, firms with higher CSR scores engage in less tax avoidance, implying that CSR and country-level governance are substitutes. Originality/value This paper is the first study that examines the relationship between CSR and tax avoidance in an international setting with different legal and institutional 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)0.006
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.102
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0000.000
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 head0.138
GPT teacher head0.338
Teacher spread0.200 · 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