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dc.contributor.authorArbelo Pérez, Marta 
dc.contributor.authorPérez Gómez, María del Pilar 
dc.contributor.authorArbelo Álvarez, Antonio Manuel 
dc.contributor.otherDirección de Empresas e Historia Económica
dc.contributor.otherGrupo de investigación: Eficiencia y ventaja competitiva. Instituto de investigación: Instituto Universitario de la Empresa (IUDE).
dc.date.accessioned2024-08-12T20:05:24Z
dc.date.available2024-08-12T20:05:24Z
dc.date.issued2023
dc.identifier.urihttp://riull.ull.es/xmlui/handle/915/38733
dc.description.abstractMost empirical studies evaluating efficiency in the agricultural sector estimate cost efficiency, assuming homogeneity across firms. However, achieving the goal of profit maximisation requires both minimising costs and maximising revenue. Unlike cost efficiency, the concept of profit efficiency considers the errors on both the input side and the output side, and thus, it is more appropriate for evaluating the overall performance of firms. This paper estimates profit efficiency and its determinants in the agricultural sector in Spain using a Bayesian stochastic frontier model with random coefficients. This methodology adequately captures the heterogeneity across firms in the industry. The results reveal, firstly, that agricultural firms in Spain are operating with an average profit inefficiency of 35.78% and, secondly, that this inefficiency is affected, albeit unevenly, by the size and age of the farm. Finally, the implications of these results for managers and public policies are discussed.en
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.relation.ispartofseriesAgricultural Economics – Czech, 69, 2023 (11)
dc.rightsLicencia Creative Commons (Reconocimiento-No comercial-Sin obras derivadas 4.0 Internacional)
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.es_ES
dc.titleProfit efficiency and its determinants in the agricultural sector: A Bayesian approach.en
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.17221/279/2023-AGRICECON
dc.subject.keywordBayesian estimationen
dc.subject.keywordheterogeneityen
dc.subject.keywordoverall performanceen
dc.subject.keywordstochastic frontier approachen


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