ECONOMIC EFFICIENCY OF INTEGRATING FISHERIES MANAGEMENT AND ENVIRONMENTAL CONSERVATION: INTERNATIONAL EXPERIENCE AND PROSPECTS FOR UKRAINE
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Résumé
The article examines the integration of fisheries management and environmental conservation as an innovative model for the sustainable use of aquatic bioresources in both national and international contexts. The subject of the present study is the mechanisms that combine the economic interests of the fisheries sector with ecological objectives, including biodiversity conservation, population recovery, and maintaining the stability of aquatic ecosystems. The relevance of the research is driven by global challenges, including overfishing, poaching, degradation of spawning grounds, climate change, and water pollution. These issues are particularly acute for Ukraine, where the fisheries sector is of both food-related and strategic socio-economic importance, and is characterised by high levels of shadow activity and weak enforcement. The methodological framework underpinning this study combines comparative, content, and case-study approaches. The research compares Ukrainian and international models of fisheries management, taking into account the experiences of the European Union, Canada, Japan, and the Baltic States. It also analyses international conventions and directives, such as the Convention on Biological Diversity, the EU Water Framework Directive and the FAO Code of Conduct for Responsible Fisheries, as well as Ukraine's national legislation. System analysis methods are also employed to integrate ecological, economic and social factors into a unified model. Case studies include Ukrainian protected areas such as the Danube Biosphere Reserve, the Lower Dniester National Nature Park and the Ramsar wetlands of the Dniester Delta, as well as international fish stock restoration practices. The study aims to identify effective instruments for integrating fisheries management with conservation mechanisms, and to develop recommendations for adapting them to Ukrainian conditions. The article discusses international models such as community-based co-management in Canada, aquaculture and marine protected area development in Japan, fish passage use in the Baltic States, and legal harmonisation of environmental and economic goals within the EU. The main findings confirm that a holistic approach ensures the simultaneous achievement of three sets of objectives: ecological (population and biodiversity restoration), economic (increasing the profitability of the fisheries sector and developing aquaculture and recreational fishing tourism) and social (local community involvement and improved governance transparency). Priority areas for Ukraine include aligning legislation with EU environmental directives, developing innovative monitoring technologies (such as eDNA and satellite systems), legalising the shadow sector, and expanding co-management practices involving local communities and fisheries co-operatives. The study concludes that integrating fisheries management with environmental conservation is essential for Ukraine to transition to a sustainable model of aquatic bioresource use. This approach enables both the ecological resilience of water bodies and the economic efficiency of the sector. Adopting the best global practices, from EU environmental directives to Japan’s integration of aquaculture and marine protected areas, can enhance the competitiveness of Ukraine’s fisheries sector and facilitate its integration into the international market.
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Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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.
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