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Implementing Pillar Two: Potential Conflicts with Investment Treaties

2023· article· en· W4365451152 on OpenAlexvenueno aff
Catherine Brown, Elizabeth Whitsitt

Bibliographic record

VenueCanadian Tax Journal/Revue fiscale canadienne · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Taxation and Avoidance
Canadian institutionsnot available
Fundersnot available
KeywordsInvestment (military)BusinessMultinational corporationDouble taxationArbitrationInternational economicsDepreciation (economics)IncentiveWithholding taxInternational taxationInternational tradeTax reformFinanceEconomicsPublic economicsAd valorem taxMarket economyLaw

Abstract

fetched live from OpenAlex

A key objective of pillar two is to coordinate a minimum 15 percent tax on the GloBE income of certain in-scope multinational enterprises. This objective has been driven by the Organisation for Economic Co-operation and Development and focuses on global cooperation and model rules to calculate and collect the proposed tax. Tax is also a key driver in investment decisions. By design or default, the pillar two rules will clash with the typical tax incentives offered by countries to attract foreign direct investment, including tax holidays, lower tax rates, exemptions, and accelerated depreciation regimes. Often these tax incentives are offered in investment treaties. These agreements offer a win-win solution in that they set out the minimum protections that investors may rely on when making an investment in the host state, backed up by the direct remedy of binding international arbitration if those protections are not provided. For the host state, the protections provided by an investment treaty encourage inbound cash flows, and for the investor's home state, they offer the hope of repatriated profits. Although no precise numbers can be offered, clearly the tax benefits provided by investment treaties will be affected by the pillar two rules. This paper outlines some of the potential conflicts between pillar two requirements and the protections provided in investment treaties. It also offers some preliminary solutions.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.727
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.018
GPT teacher head0.191
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
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

Citations10
Published2023
Admission routes1
Has abstractyes

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