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INNOVATION AND ECONOMIC GROWTH: A DYNAMIC PANEL ANALYSIS FOR BRAZIL

Silvio da Rosa Paula (), Mariana Fialho Ferreira (), Daniel Uhr () and Julia Gallego Ziero Uhr ()
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Silvio da Rosa Paula: Universidade Federal de Pelotas (UFPel)
Mariana Fialho Ferreira: Universidade Federal do Espírito Santo (Ufes)
Julia Gallego Ziero Uhr: Universidade Federal de Pelotas (UFPel)

Revista de Economia Mackenzie (REM), 2021, vol. 18, issue 2, 109-134

Abstract: The main goal of this paper is to test the hypothesis that innovation influences economic growth in Brazil. To this end, we use as proxies for innovation deposits and concessions of applications for patents of invention and utility models of residents in the 26 brazilian states and the Federal District, for the period from 2000 to 2015. Moreover, we use the expenditures on research and development (R&D) among additional regressors. In the empirical analysis we use the Two-S-tep System-GMM method, for dynamic panels, with Windmeijer’s correction of the standard errors for finite sample. The results indicate that all tested innovation measures contribute positively to the economic growth of the federative units. However, R&D expenditures were not statistically significant in explaining economic growth.

Keywords: Economic growth; Dynamic panel data models; Generalized method of moments (GMM); Innovation; Patents. (search for similar items in EconPapers)
JEL-codes: C23 C33 O31 O32 O47 (search for similar items in EconPapers)
Date: 2021
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