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Resumen
This study analyzed costs and benefits for Argentina when trading maize grain. Assigning an appropriate value to traded resources involves a comprehensive assessment of all kinds of sources driving the process, in order to avoid their misappropriation and non-profitable use, while at the same time enhancing the environmental performance of the region for the long term. Increasing amounts of slowly-renewable and non-renewable resources invested in [ver mas...]
dc.contributor.authorRotolo, Gloria Claudia
dc.contributor.authorFrancis, Charles A.
dc.contributor.authorUlgiati, Sergio
dc.coverage.spatialPampa (general region)
dc.coverage.spatialArgentina (nation)
dc.date.accessioned2018-07-13T14:49:28Z
dc.date.available2018-07-13T14:49:28Z
dc.date.issued2018
dc.identifier.issn0921-3449
dc.identifier.otherhttps://doi.org/10.1016/j.resconrec.2017.10.008
dc.identifier.urihttp://hdl.handle.net/20.500.12123/2788
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0921344917303270?via%3Dihub
dc.description.abstractThis study analyzed costs and benefits for Argentina when trading maize grain. Assigning an appropriate value to traded resources involves a comprehensive assessment of all kinds of sources driving the process, in order to avoid their misappropriation and non-profitable use, while at the same time enhancing the environmental performance of the region for the long term. Increasing amounts of slowly-renewable and non-renewable resources invested in producing intensive cash crops do not necessarily contribute to further development of local enterprises, nor does this strategy consider valuable contributions by local ecosystem services. The emergy method was applied to assess resource and environmental support used in production and trade of maize grain in the northern part of Argentina’s Pampas Region, in years 2009–10 and 2012–13. Exports were calculated for commercial periods 2010–11 and 2013–14. Results showed that intermediate organizations trading with importing countries through international grain traders (Emergy–to-Exchange Ratio, EER, for Argentina =0.51) exported more environmental resources (emergy associated with exported grain) than emergy imports associated with monetary returns from traders to Argentina. This situation places the country in an unfair exchange. When trade was performed through national trade organizations, the EER =0.91, resulting in a smaller disparity. Resource trade imbalance clearly appears when it is measured in emergy terms but not when it is accounted for in monetary units. This study provides data on which to open discussion and inform trade and production strategies that could help Argentina avoid jeopardizing its own natural resources in the long term.es_AR
dc.formatapplication/pdfeng
dc.language.isoeng
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.sourceResources, conservation & recycling 131 : 271–282. (2018)eng
dc.subjectComercializaciónes_AR
dc.subjectMaízes_AR
dc.subjectProductos Básicoses_AR
dc.subjectComercio Internacionales_AR
dc.subjectFactores Ambientaleses_AR
dc.subjectEnvironmental Factorseng
dc.subjectInternational Tradeeng
dc.subjectCommoditieseng
dc.subjectMaizeeng
dc.subject.otherArgentinaes_AR
dc.subject.otherRegión Pampenaes_AR
dc.titleEnvironmentally sound resource valuation for a more sustainable international trade : case of argentine maizeeng
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articleeng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.description.filFil: Rotolo, Gloria Claudia. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Paraná; Argentinaes_AR
dc.description.filFil: Francis, Charles A. Norwegian University of Life Sciences. Department of Plant and Environmental Science; Noruega. University of Nebraska. Department of Agronomy and Horticulture; Estados Unidoses_AR
dc.description.filFil: Ulgiati, Sergio. Università degli Studi di Napoli Parthenope. Dipartimento di Scienze e Tecnologie; Italia. Beijing Normal University. School of Environment; Chinaes_AR
dc.subtypecientifico


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