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Record W2106785683 · doi:10.1177/0148558x1002500306

Two Tax Policies toward Tax Havens: Effects on Production and Capital Location Decisions

2010· article· en· W2106785683 on OpenAlexaboutno aff
Robert Halperin, Bin Srinidhi

Bibliographic record

VenueJournal of Accounting Auditing & Finance · 2010
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Taxation and Avoidance
Canadian institutionsnot available
Fundersnot available
KeywordsTax havenMultinational corporationSubsidiaryTax avoidanceBusinessAd valorem taxIncome taxValue-added taxTax creditProduction (economics)State income taxCapital (architecture)Tax policyTax reformEconomicsDouble taxationInternational economicsInternational tradeMarket economyPublic economicsFinanceMacroeconomics

Abstract

fetched live from OpenAlex

This paper examines the production and capital location effects of two approaches to taxing the incomes of subsidiaries of multinational enterprises (MNEs) in tax haven countries. The United States and the United Kingdom immediately tax “Foreign Base Company Sales Income” (FBCSI) of foreign subsidiaries reselling inventory outside the subsidiary's host country except when it is manufactured in the host country. The second approach used by Canada does not tax any active income earned in the tax haven country. We show that FBCSI induces U.S. MNEs manufacturing their product in the United States to reduce sales arid increase prices in United States. Alternately, they manufacture in the tax haven country, resulting in lower U.S. tax collections, lower quantities, and higher prices. These effects are absent for Canadian MNEs.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.029
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.014
GPT teacher head0.240
Teacher spread0.225 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations4
Published2010
Admission routes1
Has abstractyes

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