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Reservations and declarations to tax treaties

2021· article· en· W3179094184 on OpenAlexaboutno aff
Инна Хаванова

Bibliographic record

VenueLaw Enforcement Review · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Taxation and Avoidance
Canadian institutionsnot available
Fundersnot available
KeywordsBase erosion and profit shiftingConventionTax treatyDouble taxationInternational taxationPolitical scienceAction planProfit (economics)Tax lawLaw and economicsEconomicsPublic economicsBusinessLawTax avoidanceTax reform

Abstract

fetched live from OpenAlex

The subject of the article.The article represents a research of conceptual properties and issues of applying reservations and declarations to the Multilateral Convention to Implement Tax Treaty Related Measures to Prevent Base Erosion and Profit Shifting, developed in frames of implementing the OECD/G20 Action Plan on Base Erosion and Profit Shifting (BEPS). The Multilateral Tax Convention modifies the application of agreements for avoiding double taxation, that are covered by its action. Since January 1, 2021 it has been applied to 34 agreements for avoiding double taxation between the Russian Federation and such countries as the UK, Canada, Latvia, Malta, the Netherlands and France. The Multilateral Tax Convention provides for updating bilateral tax treaties – whether they were developed upon the OECD Model Tax Convention or the UN Model Tax convention. The Convention retains a great degree of flexibility in relation to the implementation of its provisions – especially by the means of reservations, made by the countries. The purpose of the articleis to identify the main characteristics of applying reservations and declarations in international tax law. The methodology.The study is based on empirical methods of comparison and description, theoretical methods of formal and dialectical logic. The main results.Reservations have played a minor role in international taxation until now – usually they reflected disagreement, expressed by an OECD member country with the provisions of the OECD Model Tax Convention or its Official commentary. Reservations were formulated in relation to a non-binding (model) document and their importance was limited. Such reservations cannot be associated with declarations, made in relation to legally binding documents like the Multilateral Tax Convention. Analyzing the general points of scientific dispute upon the mentioned range of issues, the author argues with researchers who deem that the structure of reservations to the Multilateral Tax Convention doesn’t correspond with the provisions over reservations in the Vienna Convention on the Law of Treaties, 1969 and thus recognize those reservations as “legal hybrids”. Conclusions.The structure of reservations to the International Tax Convention is deter-mined by the nature of double taxation agreements. The model lawmaking principle (the use of the OECD Model Tax Convention) allowed developing “umbrella” architecture of relationships between the provisions of the Multilateral Tax Convention and the norms of double taxation agreements. The article categorizes types of reservations as reservations of general nature and treaty-specific reservations. The article also considers the specific properties of reservations made in relation to the provisions of the Convention, which com-pose a minimal standard.

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)0.012
metaresearch head score (Gemma)0.044
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.044
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.004
Science and technology studies0.0040.007
Scholarly communication0.0080.007
Open science0.0020.004
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0140.004

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 head0.040
GPT teacher head0.267
Teacher spread0.226 · 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 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

Citations1
Published2021
Admission routes1
Has abstractyes

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