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Abstract
The objective of this work is to develop a discrete multi-criteria model to evaluate dif-ferent Argentina. The application of the PROMETHEE multi-criteria method integrates a private cost–benefit analysis that describes the policy effects on farms and a contin-gent valuation study that describes the valuation of forest ecosystem services by the urban population of that region. The impact of five policy alternatives considering seven sustainability [ver mas...]
dc.contributor.authorTello, Diego Sebastián
dc.contributor.authorDe Prada, Jorge Dante
dc.contributor.authorCristeche, Estela Raquel
dc.date.accessioned2020-07-14T15:02:20Z
dc.date.available2020-07-14T15:02:20Z
dc.date.issued2020-06
dc.identifier.citationTello, D.S., de Prada, J.D. & Cristeche, E.R. A multi-criteria assessment for native for-est policy analysis: the case of Caldén forest in the province of Córdoba, Argentina. Environ Dev Sustain (2020). https://doi.org/10.1007/s10668-020-00831-wes_AR
dc.identifier.issn1573-2975
dc.identifier.issn1387-585X
dc.identifier.otherhttps://doi.org/10.1007/s10668-020-00831-w
dc.identifier.urihttp://hdl.handle.net/20.500.12123/7550
dc.identifier.urihttps://link.springer.com/article/10.1007/s10668-020-00831-w
dc.description.abstractThe objective of this work is to develop a discrete multi-criteria model to evaluate dif-ferent Argentina. The application of the PROMETHEE multi-criteria method integrates a private cost–benefit analysis that describes the policy effects on farms and a contin-gent valuation study that describes the valuation of forest ecosystem services by the urban population of that region. The impact of five policy alternatives considering seven sustainability criteria was simulated. Criteria weighting was applied taking into account the preferences of theoretical decision-maker profiles and workshop participants. Our study finds that the most preferred alternatives are extension programs with and without prohibition of deforestation. The multi-criteria decision analysis shows an almost generalized coincidence, both in the simulation of theoretical weightings and in the workshop: The reforestation program with prohibition of deforestation is the best performance alternative, while deregulation is the alternative with the worst performance. Only when considering a free-market pro-file, deregulation has the best performance. It is concluded that multi-criteria methods facilitate the decision-making process, assessing policy alternatives by means of a wide range of criteria and by enabling different actors to express their preferences. Conse-quently, it constitutes a useful tool to support public decision making, particularly for policies related to the conservation of dry forests at local and global scales.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherSpringer Naturees_AR
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_AR
dc.sourceEnvironment, Development and Sustainability (2020)es_AR
dc.subjectArgentinaes_AR
dc.subjectBosque Primarioes_AR
dc.subjectForestseng
dc.subjectPrimary Forestseng
dc.subjectOrdenación Territoriales_AR
dc.subjectLand Use Planningeng
dc.subjectLand Valuationeng
dc.subjectAnálisis Multivariantees_AR
dc.subjectMultivariate Analysiseng
dc.subjectPolítica Ambientales_AR
dc.subjectEnvironmental Policieseng
dc.subjectBosqueses_AR
dc.subjectEcosystem Serviceseng
dc.subjectServicios de los Ecosistemases_AR
dc.subjectForestry Policieseng
dc.subjectPolítica Forestales_AR
dc.subjectSistemas de Apoyo a las Decisioneses_AR
dc.subjectDecision Support Systemseng
dc.subjectValoración de Tierras
dc.subject.otherCaldén, Córdoba
dc.subject.otherDiscrete Multi-criteria Analysiseng
dc.subject.otherAnálisis Discreto Multi-criterio
dc.titleA multi-criteria assessment for native forest policy analysis: the case of Caldén forest in the province of Córdoba, Argentinaes_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.description.origenCentro de Investigación en Economía y Prospectivaes_AR
dc.description.filFil: Tello, Diego Sebastián. Universidad Nacional de Río Cuarto. Facultad de Ciencias Económicas. Departamento Humanístico y Formativo; Argentinaes_AR
dc.description.filFil: de Prada, Jorge Dante. Universidad Nacional de Río Cuarto. Facultad de Agronomía y Veterinaria. Departamento de Economía Agraria; Argentinaes_AR
dc.description.filFil: Cristeche, Estela Raquel. Instituto Nacional de Tecnología Agropecuaria (INTA). Centro de Investigación en Economía y Prospectiva (CIEP); Argentinaes_AR
dc.subtypecientifico


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