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Record W7131124910 · doi:10.31767/nasoa.3-4-2023.04

World Experience and Features of Tax Revenue Formation of Local Budgets

2023· article· uk· W7131124910 on OpenAlexaboutno aff
T. MEDYNSKA

Bibliographic record

VenueScientific Bulletin of the National Academy of Statistics Accounting and Audit · 2023
Typearticle
Languageuk
FieldEconomics, Econometrics and Finance
TopicEconomic Issues in Ukraine
Canadian institutionsnot available
Fundersnot available
KeywordsRevenueRedistribution (election)Tax revenueProperty taxUkrainianPaymentLocal propertyAd valorem taxValue-added tax

Abstract

fetched live from OpenAlex

The article examines the world experience in the formation of tax revenues of local budgets. Based on the results of World Bank research, it was found that the highest level of financial autonomy is characterized by the municipalities of those countries whose local budget revenues are dominated by tax revenues. Scandinavian countries (Sweden, Iceland, Denmark, Finland) are traditionally characterized by the highest indicators of redistribution of tax revenues through the local level of management. During the analysis of the structure of tax revenues to budgets at the local level in the OECD countries, the presence of two differentiated models of taxation at the level of municipalities was revealed: focused on taxation of income and income (Sweden, Luxembourg, Finland, Denmark, Norway, Latvia, Switzerland, Iceland); focused on property taxation (Great Britain, Canada, Greece, Ireland, Lithuania, Estonia). The factors of the formation of tax revenues of municipal budgets are considered in view of these two models. As a result of researching trends in the development of the taxation system in foreign countries and comparing them with Ukrainian realities, we determined that in Ukraine, unlike many developed countries, it was possible to avoid excessive dependence of local self-government bodies on the payment of certain taxes to local budgets. The conducted analysis made it possible to identify the factors influencing property taxation systems in different countries, which determine their formation, in particular: the difference in the structure of the economy and the impact of its changes, the behavioral reactions of economic subjects and the existing traditions of property ownership in different countries, the peculiarities of the development of the real estate market in different countries, etc. For Ukraine, these issues are relevant, first of all, in the context of changing the structure of the economy as a country on the territory of which hostilities continue (which is accompanied by different trends in different territories and, in fact, a complete change in the socio-economic situation), which will have a direct impact on the formation of revenues of community budgets in the post-war period.

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)0.001
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 score0.301
Threshold uncertainty score0.597

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.028
GPT teacher head0.262
Teacher spread0.234 · 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
Published2023
Admission routes1
Has abstractyes

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Same venueScientific Bulletin of the National Academy of Statistics Accounting and AuditSame topicEconomic Issues in UkraineFrench-language works237,207