Abstract

CAICEDO-ASPRILLA, Henry. Knowledge production in competitive regions: an approach based on a latent variable modeling. estud.gerenc. [online]. 2020, vol.36, n.155, pp.177-192. ISSN 0123-5923.  https://doi.org/10.18046/j.estger.2020.155.3257.

This article proposes a function of knowledge production based on the measurement of non-observable variables, that provides a practical solution to methodological problems in this field of study. In this sense, a function of knowledge production is defined depending on human capital, research and development expenditure, spillovers, and the innovative environment. The function is estimated with the partial least squares path modeling technique, which allows measuring the effect of non-observable variables. It was possible to show that these constructs (latent variables) are reliable and significant; furthermore, it is concluded that this function correctly describes how knowledge is created and exploited in a region.

Keywords : function of knowledge production; innovation; structural equation modeling; partial least squares.

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