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Record W4293115378 · doi:10.31521/modecon.v30(2021)-16

World Experience оf Territorial Communities Infrastructure Development

2021· article· en· W4293115378 on OpenAlexaboutno aff
Anatoly Kamashev

Bibliographic record

VenueModern Economics · 2021
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Issues in Ukraine
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessTransport infrastructureReal estatePlan (archaeology)RecreationEuropean unionApartmentEconomic growthEnvironmental planningFinanceEconomicsGeographyPolitical scienceEconomic policyTransport engineeringEngineering

Abstract

fetched live from OpenAlex

Abstract. Introduction. The article is aimed at defining the essence of infrastructure and infrastructure components of territorial communities. Research of world experience in the development of infrastructure of territorial communities, namely some of its components. Purpose. The purpose of the article is to study the world experience of infrastructure development of territorial communities Results. It is established that the production infrastructure of the territorial community consists of transport, information, environmental and recreational components. Social infrastructure consists of housing and communal services and the educational component, medical and social and cultural support. It is determined that the development of infrastructure depends on the specifics of industries and communities and is carried out in accordance with changes in the production sphere. A review of the Polish experience in the development of the transport component of the production infrastructure of territorial communities. It is proved that after joining the European Union, Poland's funding opportunities have significantly improved, in particular, the largest share in the structure of financial support from the EU fell on transport infrastructure, namely the construction of roads. It has been established that stable incomes that allow Poland to plan and implement infrastructure projects of territorial communities are local incomes, real estate tax and land tax on which a private house or apartment building stands. It is investigated that the peculiarity of Estonia's experience in the development of the educational component of the social infrastructure of territorial communities is its financing, which is carried out from the state budget, and not the educational costs are covered by the local budget. Examining the experience of the development of the environmental component, the experience of Canada and the EU countries was considered. Conclusions. The basis for the formation of territorial communities is certainly high-quality infrastructure, in particular, the availability of quality roads, water supply network, education, ecology, etc. In modern conditions, local self-government uses a new approach to management as the community understands what to spend money on. In particular, the community leadership is accountable to the people who live there. Therefore, the funds are primarily spent on improving living conditions in the community. The study of world experience has shown the feasibility of transferring management levers from the state to the regional and municipal levels. Thus, the expansion of the powers of local governments will enable communities to solve their problems regarding the development of infrastructure. In addition, taking into account foreign experience will help intensify the investment process by directing part of the proceeds, taxes and fees to the development of infrastructure of local communities. The article mentions only the experience of developing some components of the infrastructure of territorial communities. Therefore, it seems appropriate to further study the world experience of development of other components of the infrastructure of territorial communities and develop on this basis measures to adapt it to domestic territorial communities.

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)0.001
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 score0.018
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.004
Scholarly communication0.0040.003
Open science0.0000.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.036
GPT teacher head0.222
Teacher spread0.186 · 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".

Quick stats

Citations2
Published2021
Admission routes1
Has abstractyes

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