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Record W2912217802 · doi:10.33423/jabe.v21i1.655

Do Socially Responsible Firms Pay Their Right Part of Taxes? Evidence from the European Union

2019· article· en· W2912217802 on OpenAlex
Yosra Makni Fourati, Houda Affes, Ikram Trigui

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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueJournal of Applied Business and Economics · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Taxation and Avoidance
Canadian institutionsUniversité du Québec
Fundersnot available
KeywordsTax avoidanceCorporate social responsibilityEuropean unionCorporate governanceBusinessSample (material)Corporate taxAffect (linguistics)AccountingPublic economicsDouble taxationEconomicsEconomic policyPolitical scienceFinancePsychologyPublic relations

Abstract

fetched live from OpenAlex

This study extends the literature by examining the relationship between the corporate social responsibility (CSR)and tax avoidance. Based on a sample of 614 companies from 15 European-Union countries over the period of 2002-2015, we find that, on average, socially responsible firms are more involved in tax avoidance activities than the less responsible ones. In addition, we investigate how different CSR activities affect corporate tax avoidance. More interestingly, our results show that a strong activity in the economic, environmental, social and corporate-governance dimensions is associated with a high level of tax avoidance, indicating that CSR and tax avoidance are complementary strategies.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.456
Threshold uncertainty score0.292

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 head0.021
GPT teacher head0.196
Teacher spread0.174 · 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