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Measuring sustainability efficiency at farm level: a data envelopment analysis approach

dc.rights.licenseopenen_US
dc.contributor.authorAIT SIDHOUM, Amer
dc.contributor.authorSERRA, Teresa
hal.structure.identifierGroupe de Recherche en Economie Théorique et Appliquée [GREThA]
dc.contributor.authorLATRUFFE, Laure
dc.date.accessioned2020-06-17T07:03:25Z
dc.date.available2020-06-17T07:03:25Z
dc.date.created2019-05-14
dc.date.issued2019-05-14
dc.identifier.issn0165-1587en_US
dc.identifier.urioai:crossref.org:10.1093/erae/jbz015
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/7959
dc.description.abstractEnSound implementation of sustainability practices requires appropriate tools to measure farms’ successes in achieving policy goals. This paper models farms’ stochastic production technology as the interaction of three main types of sub-technologies that govern, respectively, the production of agricultural commodities, environmental (nitrogen and pesticide) pollution and social outputs of agricultural activities. The model is empirically implemented through a Data Envelopment Analysis (DEA) model accounting for production risk through a state-contingent approach. The application for Catalan arable crop farms shows that, on average, farms display high technical and social performance and relatively poor environmental performance.
dc.language.isoENen_US
dc.sourcecrossref
dc.titleMeasuring sustainability efficiency at farm level: a data envelopment analysis approach
dc.typeArticle de revueen_US
dc.identifier.doi10.1093/erae/jbz015en_US
dc.subject.halÉconomie et finance quantitative [q-fin]en_US
bordeaux.journalEuropean Review of Agricultural Economicsen_US
bordeaux.page200-225en_US
bordeaux.volume47en_US
bordeaux.hal.laboratoriesGroupe de Recherche en Economie Théorique et Appliquée (GREThA) - UMR 5113en_US
bordeaux.issue1en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.import.sourcedissemin
hal.exportfalse
workflow.import.sourcedissemin
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