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dc.contributor.authorLafuente González, Esteban Miguel
dc.contributor.authorAraya, Manuel
dc.contributor.authorLeiva Bonilla, Juan Carlos
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Organització d'Empreses
dc.coverage.spatialeast=-83.753428; north=9.748916999999999; name=Costa Rica
dc.identifier.citationLafuente, E.; Araya, M. (TEC); Leiva, J.C. Assessment of local competitiveness: A composite indicator analysis of Costa Rican counties using the ‘Benefit of the Doubt’ model. "SOCIO-ECONOMIC PLANNING SCIENCES", 2020.
dc.description.abstractThis study employs a Benefit-of-the-Doubt (BOD) weighting model that incorporates information generated via a participatory method—i.e., based on experts’ opinion—to construct a composite indicator that evaluates the competitiveness level of Costa Rican counties during 2010-2016. The results of the empirical application based on the county competitiveness index (CCI) reveal the superior informative power of the proposed BOD composite indicator, relative to models using equal weight restrictions or weights estimated via principal component analysis. The county competitiveness index is a valuable tool to monitor counties’ competitive level, and the findings underline that an analysis based on the BOD approach may offer useful information to policy makers on what strategic actions may potentially optimize the allocation of local resources and, subsequently, enhance economic outcomes (i.e., business creation and employment).
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.subjectÀrees temàtiques de la UPC::Economia i organització d'empreses::Competitivitat i innovació
dc.subject.otherComposite indicators
dc.subject.otherbenefit of the doubt
dc.subject.otherCosta Rica
dc.titleAssessment of local competitiveness: A composite indicator analysis of Costa Rican counties using the ‘Benefit of the Doubt’ model
dc.subject.lemacCompetència econòmica
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
local.citation.authorLafuente, E.; Araya, Manuel (TEC); Leiva, J.C.
local.citation.publicationNameSOCIO-ECONOMIC PLANNING SCIENCES

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Attribution-NonCommercial-NoDerivs 3.0 Spain
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