A new measure of regional competitiveness

Sánchez de la Vega, Jose Carlos; Buendía Azorín, José Daniel; Calvo-Flores García, Antonio; Esteban Yago, Miguel Antonio

Publication:
A new measure of regional competitiveness

dc.contributor.author	Sánchez de la Vega, Jose Carlos
dc.contributor.author	Buendía Azorín, José Daniel
dc.contributor.author	Calvo-Flores García, Antonio
dc.contributor.author	Esteban Yago, Miguel Antonio
dc.contributor.department	Economía Aplicada
dc.coverage.spatial	España	es
dc.coverage.temporal	siglo XXI, 2008-2016	es
dc.date.accessioned	2024-12-04T08:45:15Z
dc.date.available	2024-12-04T08:45:15Z
dc.date.issued	2019-11-13
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.abstract	Purpose – 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.format	application/pdf	es
dc.format.extent	19	es
dc.identifier.citation	Applied Economic Analysis Vol. 27 No. 80, 2019 pp. 108-126
dc.identifier.doi	https://doi.org/10.1108/AEA-07-2019-0010
dc.identifier.issn	Electronic: 2632-7627
dc.identifier.uri	http://hdl.handle.net/10201/147140
dc.language	eng	es
dc.publisher	Emerald Publishing Limited	es
dc.relation	Sin financiación externa a la Universidad	es
dc.relation.publisherversion	https://www.emerald.com/insight/content/doi/10.1108/aea-07-2019-0010/full/html
dc.rights	info:eu-repo/semantics/openAccess	es
dc.rights	Atribución 4.0 Internacional	*
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/	*
dc.subject	Regional competitiveness	es
dc.subject	Macroeconomics	es
dc.subject	Dynamic system	es
dc.title	A new measure of regional competitiveness	es
dc.type	info:eu-repo/semantics/article	es
dspace.entity.type	Publication	es