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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).

This article presents an empirical model of non-stationary and cointegrated panel data to explain the impact of industrial property, measured by patents, on the GDP of 10 Latin America countries during the period 1990 to 2010. Apply traditional unit root tests and unit root test of art, which incorporates a structural break and the cross-sectional dependence, proposed by Hadri and Rao (2008). Through the Pedroni (1999, 2000, 2004) cointegration test proves the existence of a long-term relationship between variables and estimates the long-run elasticities. The results show the existence of a positive relationship between the level of innovation and GDP.