The Impact of Globalization and International Tax Competition on Tax Policies
Bibliographic record
Abstract
The aim of the paper is to determine to what extent the strengthening of the transparency of the Ukrainian economy and its incorporation in international tax competition affects the tax policy of the country and the peculiarities of its tax system. In the study, the logical analysis of the direct and inverse relationship of changes in taxation with such manifestations of globalization, as the movement of capital and labor resources from Ukraine and to the country, is combined with an empirical (regression) analysis of the relationship between globalization and the main characteristics of the Ukrainian tax system. It is proved that the increase of incorporation of Ukraine in globalization processes, despite the reduction of taxes on the main factors of production, is accompanied by an increase in the general level of tax burden on the economy (tax rate). The above mentioned is a consequence of increase of other taxes, including excise, caused both by internal needs of Ukraine (conducting the policy of fiscal consolidation caused by large public debt, and increasing defense expenditures) and its international obligations (EU Association Agreement). The tax system in Ukraine is much stronger (about 25%) influenced by the general index of globalization in comparison with its subindex characterizing the economic component of globalization. Obviously, this is owing to the greater influence on taxation in Ukraine of other components of globalization such as political and social one. The results show that the growth of the globalization index is accompanied by rather expected effects such as reduction of corporate profit tax rates and personal income tax, transferring the tax burden from capital to labor and, to a greater extent, on consumption, improving business conditions in the context of tax payments, and specific increase in the general level of tax burden on the economy, significant losses of the state that is not so much from the reduction of tax rates as from the erosion of the tax base on income, which is the result of a combination of negative effects of external and internal factors; the threat of escalating the policy of low tax rates. It is recommended to the Ukrainian Government to focus increasingly on the tax evolution trends in post-socialist EU countries to strengthen Ukraine`s position in tax competition with this group of countries.
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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 | 0.002 | 0.005 |
| 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 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".