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Record W4244975062 · doi:10.26565/2310-9513-2019-9-14

Research of existing tax systems in advanced economic countries

2019· article· en· W4244975062 on OpenAlexaboutno aff
Yvgeniy Lomaka

Bibliographic record

VenueJournal of Economics and International Relations · 2019
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Issues in Ukraine
Canadian institutionsnot available
Fundersnot available
KeywordsInternational taxationPersonal incomeState income taxDouble taxationIncome taxEquity (law)EconomicsTax reformPublic economicsBusinessEconomic policyEconomic growthPolitical science

Abstract

fetched live from OpenAlex

One of the key factors on which the effective functioning of the entire national economy depends is the organization of the state taxation system. Prospects for the reform of personal income tax are currently widely discussed with the aim of maximizing its fiscal functions and achieving equity taxation. Let us consider in more detail how foreign countries solve the problem of the fairness of taxation of personal income in the development of tax policy. The subject of the study is the foreign experience of taxation of personal income in countries with developed economies. The purpose of the study is to study the approaches to taxation of foreign countries in the current socio-economic conditions. Objective: to study the trends in the formation of the tax rate on personal income in countries with developed economies. General scientific methods are used: system analysis - to determine the specifics of tax development in economically developed countries; comparative analysis - to compare the principles in the formation of taxes in foreign countries and Ukraine. The following results were obtained: The prospects for the application of foreign experience in the taxation of personal income in Ukraine were considered. The analysis of income tax in Germany, France, Italy, Canada, the United States of America - the countries with the highest standards of living, according to the United Nations. The main features of income tax in these countries are identified, the possibility of borrowing them in the course of reforming the personal income tax in relation to Ukraine is assessed. Based on an analysis of the main approaches to taxation of personal income in countries with developed economies and Ukraine, a SWOT analysis was obtained. Conclusions: the tax systems of many states have their own historical prerequisites, are “adjusted” to the territorial and transgeographic features of countries, as well as their internal policies and the mentality of the population. Improving the efficiency of the tax system is really subject to the adjustment of the principles of taxation under the economic conditions of a particular state.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.692
Threshold uncertainty score0.624

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.099
GPT teacher head0.341
Teacher spread0.242 · 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.

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

Citations0
Published2019
Admission routes1
Has abstractyes

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