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Record W2963587603 · doi:10.18371/fcaptp.v2i29.172366

CURRENT SITUATION OF AGRICULTURAL ENTERPRISES FINANCING IN UKRAINE: ECONOMIC AND LEGAL ANALYSIS

2019· article· en· W2963587603 on OpenAlexaboutno aff
Olena Artemenko, Л. В. Потапенко, Serhii Braichenko, Larysa Varunts, Viktoriia Hmyria

Bibliographic record

VenueFinancial and credit activity problems of theory and practice · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture Market Analysis Ukraine
Canadian institutionsnot available
Fundersnot available
KeywordsAgrarian societyPosition (finance)AgricultureBusinessPaymentFinanceEconomic systemEconomicsEconomic policyEconomic growth

Abstract

fetched live from OpenAlex

Modern agriculture is developed in the direction of increasing the efficiency of agricultural production. This requires a stable combination of financial and economic, legal and organizational factors with the mandatory introduction of the innovative component.Scientific research is based on the current information and scientific base which contains a methodology for assessing the effectiveness of raising funds, the use of which allows systematizing a number of phenomena in the process of agricultural development, unifying the procedure for determining the nominal volumes and effectiveness of welfare payment using direct methods.The paper deals with some problematic legal issues of legal regulation of financial relations with the participation of agricultural enterprises; it is determined and justified the necessity of allocation of agricultural enterprises financial support, providing the administrative assistance and control over the target use of the given funds. The main articles of agricultural enterprises support in Ukraine were identified and the main generators of these enterprises financing were determined from the position of financial and credit institutions.The conceptual models of state support for the development of rural areas in Canada, Australia, Italy and the United States of America are analyzed. The main reasons for the unsatisfactory state of agricultural enterprises development, in particular, economic, social, infrastructural, administrative, problems that restrain the development of the agrarian sector as a whole are outlined. The necessary conditions for the development of agricultural enterprises in Ukraine are determined. On the basis of the analysis of world experience of rural development policy, a list of directions of agrarian sector enterprises support necessary for activation of rural areas development in Ukraine has been formed.The actuality and necessity of activation and harmonization using qualitatively new methodological dimensions of agricultural enterprises financing of various forms of ownership outlined the purpose of scientific search, its contour, tasks and architectonics.

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)0.000
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 score0.017
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
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 head0.007
GPT teacher head0.224
Teacher spread0.217 · 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

Citations3
Published2019
Admission routes1
Has abstractyes

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