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dc.creatorOrtega, Francisco J.es
dc.creatorGavilán Ruiz, José Manueles
dc.date.accessioned2018-02-23T15:09:21Z
dc.date.available2018-02-23T15:09:21Z
dc.date.issued2013
dc.identifier.citationOrtega, F.J. y Gavilán Ruiz, J.M. (2013). The measurement of production efficiency in scientific journals through stochastic frontier analysis models: Application to quantitative economics journals. Journal of Informetrics, 7 (4), 959-965.
dc.identifier.issn1751-1577es
dc.identifier.urihttps://hdl.handle.net/11441/70570
dc.description.abstractThe importance of a scientific journal is usually established by considering the number of citations received by the papers that the journal publishes. In this way, the number of cita- tions received by a scientific journal can be considered as a measure of the total production of the journal. In this paper, in order to obtain measures of the efficiency in the produc- tion process, the approach provided by stochastic frontier analysis (SFA) is considered, and econometric models are proposed. These models estimate a frontier production, which is the maximum achievable number of citations to the journal based on its resources. The effi- ciency can then be measured by considering the difference between the actual production and the estimated frontier. This approach is applied to the measurement of the produc- tive efficiency of the journals of the JCR social sciences edition database, which belong simultaneously to the areas of “economics” and “social sciences, mathematical methods”es
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherElsevieres
dc.relation.ispartofJournal of Informetrics, 7 (4), 959-965.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectProductiones
dc.subjectProductivityes
dc.subjectEfficiencyes
dc.subjectScientific productiones
dc.subjectFrontier production modelses
dc.titleThe measurement of production efficiency in scientific journals through stochastic frontier analysis models: Application to quantitative economics journalses
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/acceptedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Economía Aplicada Ies
dc.identifier.doihttps://doi.org/10.1016/j.joi.2013.09.004es
idus.format.extent7es
dc.journaltitleJournal of Informetricses
dc.publication.volumen7es
dc.publication.issue4es
dc.publication.initialPage959es
dc.publication.endPage965es
dc.identifier.sisius10.1016/j.joi.2013.09.004es

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