Embedding Water-Energy-Food nexus and circularity assessment for organization benchmarking: A case study for dairy farms

dc.contributor.affiliationUniversidade de Santiago de Compostela. Centro Interdisciplinar de Investigación en Tecnoloxías Ambientais (CRETUS)
dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Enxeñaría Química
dc.contributor.authorRebolledo Leiva, Ricardo
dc.contributor.authorVetroni Barros, Murillo
dc.contributor.authorEntrena-Barbero, Eduardo
dc.contributor.authorVasquez-Ibarra, Leonardo
dc.contributor.authorFernández, Mario
dc.contributor.authorFeijoo Costa, Gumersindo
dc.contributor.authorMoreira Vilar, María Teresa
dc.contributor.authorGonzález García, Sara
dc.date.accessioned2025-07-23T10:41:55Z
dc.date.available2025-07-23T10:41:55Z
dc.date.issued2024-09-05
dc.description.abstractThe Water-Energy-Food (WEF) nexus approach is increasingly being used for supporting a transition to sustainable development, with initiatives involving the concept of circular economy (CE). In the agricultural sector in particular, assessing this nexus is crucial to ensure food security, control the consumption of key resources such as water and energy, as well as measure atmospheric emissions linked to climate change. This manuscript aims to propose a novel approach by coupling the WEF nexus with a circularity indicator, seeking to capture in a single index (the WEF+CEi) both performances in a sample of companies. The novel approach is applied to 30 dairy farms located in Galicia (NW Spain) to benchmark them in a holistic manner. To do this, the WEF nexus of each farm was represented through the following indicators: carbon footprint, water footprint, energy footprint, and food productivity. In addition, the percentage of circularity for each farm, and for the agro-industrial cooperative was measured thanks to the application of a circularity tool in percentage terms. Finally, the WEF+CEi indicator was obtained using the multicriteria mathematical tool of Data Envelopment Analysis (DEA). The results show that without considering the agro-industrial cooperative, the system is 51 % circular. On the other hand, considering the farms and the cooperative, the system goes up to 80 % of circularity. Finally, the proposed approach can support decision-making and provide insights for producers and stakeholders in the area.
dc.description.sponsorshipTransition to sustainable agri-food sector bundling life cycle assessment and ecosystem services approaches (ALISE) (TED2021–130309B-I00), funded by MCIN/AEI/10.13039/501100011033/ and the European Union NextGenerationEU/PRTR
dc.identifier.citationRebolledo-Leiva, R., Barros, M. V., Entrena-Barbero, E., Vásquez-Ibarra, L., Fernández, M., Feijoo, G., Teresa Moreira, M., & González-García, S. (2024). Embedding Water-Energy-Food nexus and circularity assessment for organization benchmarking: A case study for dairy farms. Waste Management, 189, 410–420. https://doi.org/10.1016/J.WASMAN.2024.08.038
dc.identifier.doi10.1016/j.wasman.2024.08.038
dc.identifier.issn1879-2456
dc.identifier.urihttps://hdl.handle.net/10347/42574
dc.journal.titleWaste Management
dc.language.isoeng
dc.page.final420
dc.page.initial410
dc.publisherElsevier
dc.relation.projectID109400
dc.relation.publisherversionhttps://doi.org/10.1016/j.wasman.2024.08.038
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.accessRightsembargoed access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectCircular economy
dc.subjectMulticriteria decision analysis
dc.subjectLife cycle assessment
dc.subjectSustainable agriculture
dc.subjectData envelopment analysis
dc.subjectAgro-industrial cooperative
dc.titleEmbedding Water-Energy-Food nexus and circularity assessment for organization benchmarking: A case study for dairy farms
dc.typejournal article
dc.type.hasVersionAM
dc.volume.number189
dspace.entity.typePublication
relation.isAuthorOfPublicationc096164c-a5ad-4a7b-ac7a-1d8817ea1e86
relation.isAuthorOfPublication0a576b0a-443d-4394-a84e-54437060ce3f
relation.isAuthorOfPublicationc6e1c93a-e283-4a61-a88c-495550a6d318
relation.isAuthorOfPublication.latestForDiscoveryc096164c-a5ad-4a7b-ac7a-1d8817ea1e86

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