Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Tec Empresarialarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
Tec Empresarial
Article . 2019 . Peer-reviewed
Data sources: Crossref
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
Tec Empresarial
Article
License: CC BY NC ND
Data sources: UnpayWall
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
versions View all 2 versions
addClaim

Eficiencia competitiva de los cantones en Costa Rica: Análisis del índice de competitividad cantonal basado en modelos frontera no-paramétricos

Authors: Araya Solano, Manuel;

Eficiencia competitiva de los cantones en Costa Rica: Análisis del índice de competitividad cantonal basado en modelos frontera no-paramétricos

Abstract

Este estudio emplea un modelo de Análisis Envolvente de Datos (DEA) con un único input constante para analizar la eficiencia competitiva de los cantones costarricenses para el año 2016. Los resultados de eficiencia, como frutos del análisis de las siete dimensiones (pilares) del Índice de Competitividad Cantonal (ICC) como outputs de la función de producción no-paramétrica propuesta en este trabajo, indican que, en promedio, los cantones costarricenses pueden mejorar su eficiencia competitiva un 56,84%. Además, los resultados sugieren que la configuración de pilares competitivos tiene importantes implicaciones para la evaluación de eficiencia. En provincias relativamente más desarrolladas, que presentan aglomeraciones urbanas, los pilares competitivos relacionados con las infraestructuras, el empleo, la calidad de vida y la innovación, son las principales prioridades en el diseño de políticas de apoyo que explican el resultado de la eficiencia competitiva; mientras que los indicadores de empleo y calidad de vida son los principales pilares que explican la eficiencia competitiva en las provincias menos desarrolladas. El ICC es un instrumento valioso para monitorear el desempeño competitivo de los cantones, mientras que el enfoque analítico propuesto basado en un modelo DEA puede ofrecer información útil a los observadores de políticas de apoyo que permita identificar qué acciones estratégicas pueden ayudar a optimizar las políticas de asignación de recursos y, como resultado, la competitividad de los cantones.

Related Organizations
Keywords

ICC, public policy, index numbers, Regional competitiveness, políticas de apoyo, números índice, eficiencia cantonal, data envelopment analysis, Competitividad regional

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    2
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
Green
gold