Determinantes das estratégias inovativas a partir da interação universidade-empresa: uma análise comparativa entre Brasil e Amazônia Legal

Abstract

In recent decades, several studies and empirical research has pointed to the increasing importance of scientific institutions to the technological development of companies, countries and regions. Following this perspective, this thesis aims to analyze the dynamics of university/company interactions in Brazil and in the Amazon to disclosing the contribution of these institutions to the development of innovation. The analysis focuses on the impacts of interaction for the innovative development of enterprises and to evaluate how this innovative performance differs depending on the region where these flows are established. The study evaluates still such innovative performance differs depending on the region where these flows are established. For this, we used data from national research interaction university/company in Brazil. With this data set we present a descriptive analysis for the variables in the questionnaire, comparing Brazil and the Amazon, besides the application of econometric multinomial Logit model. The results confirm the main hypothesis raised in the study that the interaction is presented as a determinant of innovative strategies adopted by companies. The data demonstrate that the sources of funding and technical information from the universities are relevant to the development of new innovations for companies, but not for the country or to the world while the university patents, in turn, are relevant to the development of innovations in product to the world. The study also indicated that factors inherent to the company as an investment in internal Research and Development (R&D) and capital origin are essential to its innovative strategy such as the technology sector is not presented as an important component. The results also indicate the existence of significant differences in innovative strategies undertaken in the Amazon region, compared to the other Brazilian regions, emphasizing interaction patterns in pheripheral regions.