Resumo

GAYTAN ALFARO, EDGAR DAVID  e  RAMOS MALLARINO, JUAN CARLOS. ECONOMIC GROWTH AND SECTOR'S ARTICULATION IN COLOMBIA: A MULTIVARIATE CLUSTER DETECTION APPROACH USING AN INPUT-OUTPUT MODEL. Rev.fac.cienc.econ. [online]. 2017, vol.25, n.1, pp.7-23. ISSN 0121-6805.  https://doi.org/10.18359/rfce.1416.

Considering as a basis of information the input-output matrix for the Colombian economy in 2010, updated by the National Administrative Department of Statistics (DANE 2013), this paper undertakes a multivariate process data reduction on the submatrix of intersectoral flows in order to present the main components derived from the intensity of intermediate marketing. Such components represent clusters, the definition comes from the intensity of the constant exchanges in the participating economic activities. The results are intended to become a Colombia´s productive complexity benchmark whose implementation will result in the development of the productive apparatus´articulation and cohesion regulatory scheme as economic growth factors.

Palavras-chave : Colombian economy; Input-output models; Multivariate analysis; Clusters; Economic growth.

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