The Geographical Indication Pathway to Sustainability: A Framework to Assess and Monitor the Contributions of Geographical Indications to Sustainability through a Participatory Process
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Cited by:
- Resce, Giuliano & Vaquero-Piñeiro, Cristina, 2022.
"Predicting agri-food quality across space: A Machine Learning model for the acknowledgment of Geographical Indications,"
Food Policy, Elsevier, vol. 112(C).
- Resce, Giuliano & Vaquero-Pineiro, Cristina, 2022. "Predicting Agri-food Quality across Space: A Machine Learning Model for the Acknowledgment of Geographical Indications," Economics & Statistics Discussion Papers esdp22082, University of Molise, Department of Economics.
- Lingling Li & Yingzi Chen & Haoran Gao & Changjian Li, 2023. "How to Regulate the Infringements of Geographical Indications of Agricultural Products—An Empirical Study on Judicial Documents in China," IJERPH, MDPI, vol. 20(6), pages 1-31, March.
- Marcello De Rosa & Margherita Masi & Ludovica Apostolico & Luca Bartoli & Martina Francescone, 2023. "Geographical Indications and Risks of Unsustainability Linked to “Disaffection Effects” in the Dairy Sector," Agriculture, MDPI, vol. 13(2), pages 1-12, January.
- Karola Schober & Richard Balling & Tobias Chilla & Hannah Lindermayer, 2023. "European Integration Processes in the EU GI System—A Long-Term Review of EU Regulation for GIs," Sustainability, MDPI, vol. 15(3), pages 1-24, February.
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Keywords
geographical indications; sustainability; evaluation; indicators; territory; Sustainable Development Goals (SDG); participatory; inclusiveness;All these keywords.
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