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Sustainable Fishery Value Chain (SFVC): Study Case in Tilapia Industry.
- Source :
- International Journal on Advanced Science, Engineering & Information Technology; 2024, Vol. 14 Issue 1, p171-180, 10p
- Publication Year :
- 2024
-
Abstract
- This research is built on the concept of sustainable value chains, where a framework for sustainable value chain analysis emerges that covers not only economic aspects but also includes environmental and social impacts in a collaborative model of value chain management. It explores the dimensions on which value chain sustainability should focus. It illustrates how and why it is necessary to take a broader perspective in ensuring the internal economic sustainability of the chain in line with its external socio-environmental consequences. This research aims to analyze the sustainability of the tilapia processing value chain. This research uses the Multi-Dimensional Scaling analysis method supported by Rap-fish software. The Rapfish methodology is a flexible technique that rapidly assesses fisheries status by integrating ecological and human factors according to identified norms. The results of this research show that the sustainability of the tilapia processing value chain is considered entirely sustainable from economic, social, and environmental aspects, with a sufficient sustainability index of 74.40%. The sustainability of the value chain relies on four key actors: tilapia cultivators, collectors, processors, and distributors. The sustainable tilapia processing value chain strategy in North Sumatra can limit floating net cages by considering the environmental carrying capacity and supported by suitable policies and active stakeholder participation in community-based legal institutions. This research found this is a strong sustainability concept if implemented with better governance and policy management in the tilapia industry value chain. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 20885334
- Volume :
- 14
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- International Journal on Advanced Science, Engineering & Information Technology
- Publication Type :
- Academic Journal
- Accession number :
- 176028709