VAT Implications of Transfer Pricing in Serbia – Joining the Incompatible
Bibliographic record
Abstract
Adjustments to transfer pricing (TP) have been a subject of intense scrutiny within international taxation and customs procedures. This paper provides a comprehensive survey of global practices and regulatory frameworks, focusing on Serbia’s legal approach influenced by OECD standards and EU regulations. It examines the alignment of related party transactions with the arm’s length principle, the impact of TP adjustments on corporate income tax (CIT), value-added tax (VAT), and customs valuation, and the challenges faced by multinational enterprises (MNEs). The study argues that TP adjustments should be considered outside the scope of indirect taxation due to their intrinsic characteristics. Through a comparative analysis of practices in the USA, Canada, and various EU member states, the paper highlights the need for clear guidance from Serbian authorities to ensure legal and fiscal consistency. The findings suggest adopting a U.S.-like five-factor test for TP adjustments concerning customs valuations to provide a clearer compliance route. The paper concludes with recommendations for synchronizing VAT and customs legislation with international standards to enhance compliance and reduce tax evasion risks.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".