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Record W7126403343 · doi:10.36742/2410-0919-2025-2-10

INSTITUTIONAL ENVIRONMENT OF THE PORK MARKET: THE ROLE OF FORMAL AND INFORMAL MECHANISMS

2025· article· W7126403343 on OpenAlex
Yurii Premudryi

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

VenueThe economic discourse · 2025
Typearticle
Language
FieldAgricultural and Biological Sciences
TopicAgriculture Market Analysis Ukraine
Canadian institutionsnot available
Fundersnot available
KeywordsLegalizationInformal sectorUkrainianFood securityState (computer science)Sustainable developmentInstitutionalisation

Abstract

fetched live from OpenAlex

Introduction. The pork market in Ukraine is one of the key segments of the national agri-food system, providing a significant part of consumer demand for meat products, generating employment in rural areas and being a source of fiscal revenues. Its strategic importance is growing in conditions of full-scale war, global instability and aggravation of food security challenges. Methods. The complex of general scientific and special methods, which ensured a comprehensive study of the institutional environment of the Ukrainian pork market, were used during the study. Systemic and comparative analysis allowed us to investigate the relationships between formal and informal institutions and compare the features of institutional support in Ukraine and other countries. Content analysis of regulatory acts and expert surveys made it possible to assess the effectiveness of formal mechanisms and identify the role of informal practices, such as trust, reputational interaction, and cooperation. Results. The results of the study showed that the institutional environment of the pork market in Ukraine is in a state of imbalance: formal institutions remain ineffective, while informal practices partially compensate for these gaps, but at the same time undermine legal competition. It was established that strategic reform should combine the adaptation of formal mechanisms (certification, financing, tax incentives, cooperation) with partial legalization and integration of informal practices through digital tools of trust and transparency. As a result, it is the synergy of formal and informal institutions that can ensure fair competition, increased food security and sustainable development of the meat industry in Ukraine. Discussion. In the prospects of further research into the institutional environment of the pork market, the primary direction is an in-depth analysis of the interaction of formal and informal institutions at the regional level, taking into account the specifics of the development of the industry in different regions of Ukraine. At the same time, research into the effectiveness of institutional support for small and medium-sized producers using empirical methods (surveys, interviews, case studies), as well as analysis of coordination models between state bodies, professional associations and business, remain important. Promising directions also include comparing Ukrainian practices with international experience (EU, Canada, Brazil), studying the impact of digitalization on institutional processes and modelling the role of institutions in ensuring the stability of the pork market in the face of military and global challenges. Keywords: institutional environment, pork market, formal institutions, informal mechanisms, agricultural policy, regulatory capacity, vertical integration, competition, state support, agricultural sector.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.869
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.003
GPT teacher head0.175
Teacher spread0.172 · 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