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Record W4281644015 · doi:10.35774/visnyk2022.01.203

Management of municipal property in Ukraine and some countries: the essence, tools

2022· article· en· W4281644015 on OpenAlexaboutno aff
Ivan Drohobetskyі

Bibliographic record

VenueHerald of Economics · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Issues in Ukraine
Canadian institutionsnot available
Fundersnot available
KeywordsRevenueGovernment (linguistics)Local governmentProperty (philosophy)BusinessRegional scienceEconomic systemPolitical sciencePublic administrationEconomicsAccountingGeography

Abstract

fetched live from OpenAlex

Introduction. Unfortunately, municipal property, like private property in Ukraine, is not a reliable source of stable local budget revenues because, mainly, the form of ownership is not the leading factor in the high efficiency of the economic system, and the conditions in which it can be created to any of the forms of ownership, including municipal, could reveal its own potential, which will increase the economic efficiency of business entities and improve the living standards of community members.The aim of the article is to clarify the essence of municipal property and to establish tools for municipal property management in Ukraine and some countries around the world for comparison and improvement.Research methods. In the process of research to achieve the goal of the article used a number of methods of scientific knowledge (analysis, induction, deduction, synthesis, generalization, comparison of systems and tools of municipal property management in Ukraine and some countries).Results. In the scientific literature, there is mainly a classification of world-famous models of municipal government organization, which provide for the formation of relations between local governments and relevant authorities in the center. According to this approach, it is expedient to distinguish three such fundamental models of local self-government, as: Anglo-Saxon (classical), continental and mixed. The Anglo-Saxon (classical) model is common, mainly in the United States, Britain, Canada, Australia, India and others, where the eponymous legal system. The continental (or French) model of local government organization is quite different, common not only in European countries, including France, Spain, Italy, Belgium, but also in many Latin American countries, the Middle East, and France. It is clear that the analysis of the current state of affairs abroad can play a leading role in solving the problems of improving the management of Ukrainian municipal property. Generalization and popularization of the positive practice of individual countries with developed democracies in the subject area studied by us is expedient for the improvement of the Ukrainian legislation of Ukraine. For example, in order to form several sources of financial resources that are objects of the current municipal property of any country.Discussion. The analysis of the positive practice of local self-government in Ukraine and some countries of the world allows to draw a number of conclusions: granting local governments some state powers increases the authority of these bodies, promotes their “merging” and mutual enrichment; There is a need to develop the necessary future steps to develop the system and tools of local self-government of Ukraine and consolidate them at the regulatory level, taking into account the different types and forms of business entities, and subject to new laws continue to work in, lack of sufficient necessary financial and economic base, incomplete economic and legal regulation. We should not expect a one-time creation of the basis of local self-government throughout Ukraine, but move in this direction step by step and so on.Perspectives. In the future, more attention should be paid to the study of the principles and methods of collecting and disseminating positive experience in municipal property management both in Ukraine and in some countries around the world, which were discussed in this publication. It would also be worthwhile to deepen research on areas for improving the efficiency of operational management of municipal property and indicators of its evaluation.

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)0.001
metaresearch head score (Gemma)0.002
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: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0020.004
Scholarly communication0.0050.003
Open science0.0000.002
Research integrity0.0000.001
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 head0.042
GPT teacher head0.221
Teacher spread0.179 · 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".

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Citations2
Published2022
Admission routes1
Has abstractyes

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