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dc.contributor.authorSánchez de la Vega, Jose Carlos-
dc.contributor.authorBuendía Azorín, José Daniel-
dc.contributor.authorCalvo-Flores García, Antonio-
dc.contributor.authorEsteban Yago, Miguel-
dc.coverage.spatialEspañaes
dc.coverage.temporalsiglo XXI, 2008-2016es
dc.date.accessioned2024-12-04T08:45:15Z-
dc.date.available2024-12-04T08:45:15Z-
dc.date.issued2019-11-13-
dc.identifier.citationApplied Economic Analysis Vol. 27 No. 80, 2019 pp. 108-126-
dc.identifier.issnElectronic: 2632-7627-
dc.identifier.urihttp://hdl.handle.net/10201/147140-
dc.description© 2019, José Carlos Sánchez de la Vega, José Daniel Buendía Azorín, Antonio Calvo-Flores Segura and Miguel Esteban Yago. This manuscript version is made available under the CC-BY 4.0 license http://creativecommons.org/licenses/by/4.0/. This document is the Published version of a Published Work that appeared in final form in Applied Economic Analysis. To access the final edited and published work see https://doi.org/10.1108/AEA-07-2019-0010-
dc.description.abstractPurpose – The purpose of this paper is to provide a measure of competitiveness of the Spanish autonomous communities from a multidimensional and dynamic perspective for the period 2008-2016. Design/methodology/approach – This paper adopts a broad definition of competitiveness based on five key environments (productive capital, human capital, social and institutional capital, infrastructure and knowledge) and comprising 53 indicators. The method used to construct the competitiveness index is based on the P-distance proposed by Pena Trapero (1979), which objectively assigns weights to the indicators. There is an important advantage in the methodological proposal of this study, as it allows analyzing the behavior of partial and aggregated indicators from a dynamic perspective, taking the same value as a reference for the entire period. Therefore, not only a classification obtained for each year but also the variation that occurs in terms of the reference period can be analyzed. Findings – The classification of the autonomous communities is established using common intervals based on the results obtained for the whole period, i.e. 2008-2016. The data point to the unequal situations of the autonomous communities. The results also reveal that the evolution of the regional competitiveness synthetic index is clearly cyclical and the drop recorded in the recessive period is less pronounced than the increase recorded in the growth phase. Originality/value – The main innovation of the competitiveness index presented here lies in its allowing comparisons over time.-
dc.formatapplication/pdfes
dc.format.extent19es
dc.languageenges
dc.publisherEmerald Publishing Limitedes
dc.relationSin financiación externa a la Universidades
dc.rightsinfo:eu-repo/semantics/openAccesses
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectRegional competitivenesses
dc.subjectMacroeconomicses
dc.subjectDynamic systemes
dc.titleA new measure of regional competitivenesses
dc.typeinfo:eu-repo/semantics/articlees
dc.relation.publisherversionhttps://www.emerald.com/insight/content/doi/10.1108/aea-07-2019-0010/full/html-
dc.identifier.doihttps://doi.org/10.1108/AEA-07-2019-0010-
dc.contributor.departmentDepartamento de Economía Aplicada-
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