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Record W7140343727 · doi:10.37332/2309-1533.2025.3.14

FINANCIAL INSTRUMENTS FOR SUPPORTING ENTREPRENEURSHIP IN THE AQUACULTURE SECTOR: INTERNATIONAL EXPERIENCE AND UKRAINIAN REALITIES

2025· article· W7140343727 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueINNOVATIVE ECONOMY · 2025
Typearticle
Language
FieldEconomics, Econometrics and Finance
TopicEconomic and Business Development Strategies
Canadian institutionsnot available
Fundersnot available
KeywordsUkrainianEntrepreneurshipFinancial instrumentState (computer science)Financial analysis

Abstract

fetched live from OpenAlex

Prysiazhniuk N.M., Horchanok A.V., Hubanova N.L., Yakovyshyn Ya.V. FINANCIAL INSTRUMENTS FOR SUPPORTING ENTREPRENEURSHIP IN THE AQUACULTURE SECTOR: INTERNATIONAL EXPERIENCE AND UKRAINIAN REALITIES Purpose. The aim of the article is to substantiate the theoretical foundations and generalize international experience in the application of financial instruments to support entrepreneurship in aquaculture, as well as to develop practical recommendations for adapting these mechanisms to Ukrainian realities, taking into account modern social and economic challenges and the needs of the post-war restoration of the agricultural sector. Methodology of research. A set of research methods that provide a comprehensive analysis of financial instruments for supporting aquaculture is used in the article. The method of a systems approach is used to reveal the relationship between state policy, international programs and entrepreneurial initiatives. Comparative analysis allowed us to explore the differences in financing aqua-entrepreneurship between Ukraine and leading countries of the world. Based on the statistical method, the volume of financial support and its effectiveness in dynamics are analysed. The generalization method is also applied, which made it possible to formulate practical recommendations for improving the Ukrainian aquaculture support system. Findings. The results of the study showed that international experience confirms the key role of state financial support in the development of competitive aquaculture. It was found that direct financing, lending and grant programs create a multiplier effect, stimulating the attraction of private investment. In the EU, Canada and Asia, aquaculture has been transformed into a strategic sector of the economy due to active state participation. At the same time, in Ukraine financial instruments remain limited and require institutional improvement and integration of international practices. Thus, it was established that increasing the effectiveness of financial support mechanisms is a key prerequisite for activating the entrepreneurial potential of aquaculture. Originality. For the first time, the mechanisms of state and international support for the development of aqua-entrepreneurship (budget subsidies, credit instruments, grant programs, risk insurance) were generalized and organized from the standpoint of their impact on increasing the investment attractiveness of the industry. The peculiarities of the functioning of financial instruments in Ukraine were identified and it was substantiated that their further improvement requires the implementation of the most effective international approaches. The conceptual principles of a synergistic combination of state support and private capital as a key factor in the long-term and sustainable development of entrepreneurship in the aquaculture sector were developed. Practical value. The practical application of state support mechanisms will allow creating an effective system of financial support for aquaculture, focused on long-term investment growth and sustainability of the industry. The introduction of specialized credit programs for fish farming will ensure the availability of loan capital for small and medium-sized producers, and the formation of a national aquaculture development fund will allow accumulating targeted resources for the modernization of the production base. The introduction of an aqua insurance system will help minimize environmental and market risks and increase the investment reliability of the sector. Stimulating cooperative and cluster models will help increase efficiency, reduce transaction costs, and expand sales opportunities. The integration of aquaculture into global green financing programs opens up opportunities for attracting ESG investments and issuing “green” bonds, which will allow diversifying sources of financial revenues and forming a sustainable financial basis for the development of aqua entrepreneurship. Key words: aquaculture, financial instruments, entrepreneurship, state support, investments, international experience, food security, lending, grant programs.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.438
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
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 head0.047
GPT teacher head0.282
Teacher spread0.235 · 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