Geographical indications, food safety, and sustainability: conflicts and synergies
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DOI: 10.22004/ag.econ.276273
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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.
- Morgane Millet & Valerie Keast & Stefano Gonano & François Casabianca, 2020. "Product Qualification as a Means of Identifying Sustainability Pathways for Place-Based Agri-Food Systems: The Case of the GI Corsican Grapefruit (France)," Sustainability, MDPI, vol. 12(17), pages 1-22, September.
- repec:lic:licosd:42922 is not listed on IDEAS
- Annalisa Zezza & Federica Demaria & Maria Rosaria Pupo d'Andrea & Jo Swinnen & Giulia Meloni & Senne Vandevelde & Alessandro Olper & Daniele Curzi & Valentina Raimondi & Sophie Drogue, 2018. "Research for AGRI Committee - Agricultural trade: assessing reciprocity of standards," Working Papers hal-02787948, HAL.
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Keywords
Food Consumption/Nutrition/Food Safety; International Relations/Trade;Statistics
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