Construcción De Un Índice De Regionalización Para El Sistema Nacional De Propiedad Industrial (Spi): Una Aproximación Desde La Metodología De Componentes Principales [Constructing a Regionalization Index for the National Industrial Property (Spi): An Approach from the Principal Component Analysis (Pca)] - Archive ouverte HAL Accéder directement au contenu
Pré-Publication, Document De Travail Année : 2012

Construcción De Un Índice De Regionalización Para El Sistema Nacional De Propiedad Industrial (Spi): Una Aproximación Desde La Metodología De Componentes Principales [Constructing a Regionalization Index for the National Industrial Property (Spi): An Approach from the Principal Component Analysis (Pca)]

Résumé

Through the principal component methodology, this paper proposes an index of regionalization (IROPI) that allows an objective criterion for the location across the national territory of the industrial property offices in Colombia. Results from the index were complemented with a comparative analysis of transport costs, where the ultimate criterion of decision was based both on the results of IROPI as transport costs between departments. As a result, this prioritization exercise identified potential 6 cities, which by their socioeconomic characteristics, generation of technological innovation activities and strategic location are to be the most convenient to locate offices. The selected cities are: Barranquilla (Atlántico), Bucaramanga (Santander), Cali (Valle del Cauca), Pereira (Risaralda), Neiva (Huila) and Medellín (Antioquia).
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Dates et versions

hal-00744360 , version 1 (23-10-2012)

Identifiants

  • HAL Id : hal-00744360 , version 1

Citer

Jacobo Alberto Campo Robledo, Natalia Vargas Cantor, Juan Pablo Herrera Saavedra, Miguel de Quinto Arrendonda, Dennis Sánchez Navarro. Construcción De Un Índice De Regionalización Para El Sistema Nacional De Propiedad Industrial (Spi): Una Aproximación Desde La Metodología De Componentes Principales [Constructing a Regionalization Index for the National Industrial Property (Spi): An Approach from the Principal Component Analysis (Pca)]. 2012. ⟨hal-00744360⟩
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