Competitiveness indicator in colombia through of multivariable statistics

The objective of this research is to estimate a competitiveness indicator in Colombia through a factorial methodology of principal components. A competitiveness indicator was estimated presenting significant correlations between chosen variables and according to Kaiser-Mayer-Olkin test, the indicato...

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Autores:
Solano Benavides, Elcira de Jesus
Alandete Brochero , Nelson de Jesus
amelec, viloria
Tipo de recurso:
http://purl.org/coar/resource_type/c_816b
Fecha de publicación:
2019
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/5829
Acceso en línea:
https://hdl.handle.net/11323/5829
https://repositorio.cuc.edu.co/
Palabra clave:
Competitiveness
Principal component analysis
Economic affluence
Geographic condition
Human capital
Institutions
Competitividad
Análisis de componentes principales
Afluencia económica
Condición geográfica
Capital humano
Instituciones
Rights
openAccess
License
CC0 1.0 Universal
id RCUC2_1bffa75290b27759bdf0b9cfe2303d08
oai_identifier_str oai:repositorio.cuc.edu.co:11323/5829
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repository_id_str
dc.title.spa.fl_str_mv Competitiveness indicator in colombia through of multivariable statistics
dc.title.translated.spa.fl_str_mv Indicador de competitividad en Colombia a través de estadísticas multivariables
title Competitiveness indicator in colombia through of multivariable statistics
spellingShingle Competitiveness indicator in colombia through of multivariable statistics
Competitiveness
Principal component analysis
Economic affluence
Geographic condition
Human capital
Institutions
Competitividad
Análisis de componentes principales
Afluencia económica
Condición geográfica
Capital humano
Instituciones
title_short Competitiveness indicator in colombia through of multivariable statistics
title_full Competitiveness indicator in colombia through of multivariable statistics
title_fullStr Competitiveness indicator in colombia through of multivariable statistics
title_full_unstemmed Competitiveness indicator in colombia through of multivariable statistics
title_sort Competitiveness indicator in colombia through of multivariable statistics
dc.creator.fl_str_mv Solano Benavides, Elcira de Jesus
Alandete Brochero , Nelson de Jesus
amelec, viloria
dc.contributor.author.spa.fl_str_mv Solano Benavides, Elcira de Jesus
Alandete Brochero , Nelson de Jesus
amelec, viloria
dc.subject.spa.fl_str_mv Competitiveness
Principal component analysis
Economic affluence
Geographic condition
Human capital
Institutions
Competitividad
Análisis de componentes principales
Afluencia económica
Condición geográfica
Capital humano
Instituciones
topic Competitiveness
Principal component analysis
Economic affluence
Geographic condition
Human capital
Institutions
Competitividad
Análisis de componentes principales
Afluencia económica
Condición geográfica
Capital humano
Instituciones
description The objective of this research is to estimate a competitiveness indicator in Colombia through a factorial methodology of principal components. A competitiveness indicator was estimated presenting significant correlations between chosen variables and according to Kaiser-Mayer-Olkin test, the indicator presents a high degree of usefulness, in terms of correlation, standing out in hierarchical order with the science and technology factors with 0.80; economic affluence with 0.77, geographical condition with 0.75, logistic structure with 0.73, human capital with 0.68, institutional factor with 0.67 and economic dispersion with 0.65. On the other hand, it was found that competitiveness in Colombia is determined by the influx factor of economic activity in the main urban centers of Cundinamarca/Bogotá, Antioquia, Valle and Santander
publishDate 2019
dc.date.issued.none.fl_str_mv 2019
dc.date.accessioned.none.fl_str_mv 2020-01-15T19:30:49Z
dc.date.available.none.fl_str_mv 2020-01-15T19:30:49Z
dc.type.spa.fl_str_mv Pre-Publicación
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_816b
dc.type.content.spa.fl_str_mv Text
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/preprint
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dc.identifier.uri.spa.fl_str_mv https://hdl.handle.net/11323/5829
dc.identifier.instname.spa.fl_str_mv Corporación Universidad de la Costa
dc.identifier.reponame.spa.fl_str_mv REDICUC - Repositorio CUC
dc.identifier.repourl.spa.fl_str_mv https://repositorio.cuc.edu.co/
url https://hdl.handle.net/11323/5829
https://repositorio.cuc.edu.co/
identifier_str_mv Corporación Universidad de la Costa
REDICUC - Repositorio CUC
dc.language.iso.none.fl_str_mv eng
language eng
dc.rights.spa.fl_str_mv CC0 1.0 Universal
dc.rights.uri.spa.fl_str_mv http://creativecommons.org/publicdomain/zero/1.0/
dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
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dc.publisher.spa.fl_str_mv Universidad de la Costa
institution Corporación Universidad de la Costa
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spelling Solano Benavides, Elcira de JesusAlandete Brochero , Nelson de Jesusamelec, viloria2020-01-15T19:30:49Z2020-01-15T19:30:49Z2019https://hdl.handle.net/11323/5829Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/The objective of this research is to estimate a competitiveness indicator in Colombia through a factorial methodology of principal components. A competitiveness indicator was estimated presenting significant correlations between chosen variables and according to Kaiser-Mayer-Olkin test, the indicator presents a high degree of usefulness, in terms of correlation, standing out in hierarchical order with the science and technology factors with 0.80; economic affluence with 0.77, geographical condition with 0.75, logistic structure with 0.73, human capital with 0.68, institutional factor with 0.67 and economic dispersion with 0.65. On the other hand, it was found that competitiveness in Colombia is determined by the influx factor of economic activity in the main urban centers of Cundinamarca/Bogotá, Antioquia, Valle and SantanderEl objetivo de esta investigación es estimar un indicador de competitividad en Colombia a través de una metodología factorial de componentes principales. Se estimó un indicador de competitividad que presentaba correlaciones significativas entre las variables elegidas y de acuerdo con la prueba de Kaiser-Mayer-Olkin, el indicador presenta un alto grado de utilidad, en términos de correlación, destacando en orden jerárquico con los factores de ciencia y tecnología con 0.80; afluencia económica con 0.77, condición geográfica con 0.75, estructura logística con 0.73, capital humano con 0.68, factor institucional con 0.67 y dispersión económica con 0.65. Por otro lado, se encontró que la competitividad en Colombia está determinada por el factor de influjo de la actividad económica en los principales centros urbanos de Cundinamarca / Bogotá, Antioquia, Valle y SantanderSolano Benavides, Elcira de Jesus-will be generated-orcid-0000-0001-6405-5359-600Alandete Brochero, Nelson de Jesus-will be generated-orcid-0000-0001-9438-8795-600Amelec, Viloria-will be generated-orcid-0000-0003-2673-6350-600engUniversidad de la CostaCC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2CompetitivenessPrincipal component analysisEconomic affluenceGeographic conditionHuman capitalInstitutionsCompetitividadAnálisis de componentes principalesAfluencia económicaCondición geográficaCapital humanoInstitucionesCompetitiveness indicator in colombia through of multivariable statisticsIndicador de competitividad en Colombia a través de estadísticas multivariablesPre-Publicaciónhttp://purl.org/coar/resource_type/c_816bTextinfo:eu-repo/semantics/preprinthttp://purl.org/redcol/resource_type/ARTOTRinfo:eu-repo/semantics/acceptedVersionPublicationORIGINALCompetitiveness indicator in colombia through of multivariable statistics.pdfCompetitiveness indicator in colombia through of multivariable statistics.pdfapplication/pdf9922https://repositorio.cuc.edu.co/bitstreams/d300540f-36fc-4b61-857f-cc298f2fd491/download739d139f951a305b0a46f75d3547ff00MD56CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; 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