Regulation of the dairy processing industry by leading global exporters
Notice bibliographique
Résumé
Introduction. In today’s globalised world, the dairy processing industry is crucial in ensuring food security and economic growth for many countries. Leading global exporters of dairy products face numerous challenges related to the regulation of this industry, including control over production values and prices, quality standards, product safety, etc. Studying the regulatory practices of the dairy processing industry in these countries provides valuable insights into which approaches contribute to the development of the sector and enhance its competitiveness in the global market. Purpose. The purpose of the paper is to conduct the analysis and comparison of dairy industry regulation strategies in leading exporting countries, to identify the threats and sustainability of their approaches. Methods. The research was carried out using the following methods: analysis and synthesis – to characterize the modern mainstream of theoretical intelligence in the field of regional security; comparative analysis – to compare the structures of regional security management in different parts of the world; deductions and inductions – to form a conceptual model of global governance; tabular and visual methods – for visual presentation of the material. Results. The article provides a retrospective review and comparison of dairy industry development programs in the European Union, the United States, Canada, and New Zealand over the past 50 years. New Zealand’s model is based on a market-oriented approach that integrates the dairy sector into the global economy, granting significant autonomy to market participants. However, despite its clearly neoliberal character, the state has played a crucial role in shaping the sector, with the leading dairy cooperative holding a near-monopoly status, indicative of a “neo-corporatist” model. In contrast, Canada’s approach involves substantial government intervention in dairy market regulation, reflecting a “neo-statist” model. The European Union and the United States employ a mixed regulatory framework incorporating elements of neoliberalism, neo-statism, and neo-corporatism. Discussion. The spread of neoliberal ideas and the implementation of its institutions have significantly impacted dairy industry regulation. Reforms have gradually dismantled the previous institutional hierarchy, compelling governments to adapt to global markets and competitive conditions. However, practice demonstrates that not all major dairy-producing countries have pursued deregulation. Instead, neoliberal principles have been adapted to national and regional contexts, allowing governments to maintain substantial interventions in the dairy sector of many leading nations. Additionally, following the COVID-19 pandemic and subsequent global geopolitical crises, there has been a resurgence of regulatory processes, accompanied by increasing regional tensions. These trends have been observed across various sectors, with the dairy industry also reflecting this historical shift. Prospects. In future scientific studies, it is advisable to more clearly define the problems and directions for improving the deregulation of the milk processing industry by the world’s leading exporters.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,005 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,004 |
| Études des sciences et des technologies | 0,001 | 0,003 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».