Fatores que influenciam a probabilidade de ocorrência de inovação tecnológica em micro e pequenas empresas brasileiras: uma análise quantitativa dos dados da PINTEC 2008

• Autor(a) principal: Leite, Marco Antonio Silvestre
• Data de Publicação: 2011
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Repositório Institucional do FGV (FGV Repositório Digital)
• Texto Completo: http://hdl.handle.net/10438/8909
• topic: Competitividade; Cooperação; Crédito; Fomento; Fomento à inovação; Hélice tríplice; Inovação; Inovação aberta; Inovação tecnológica; Pequenas empresas; Pesquisa e desenvolvimento; P&D; PINTEC; PINTEC 2008; Políticas públicas; Sistemas nacionais de inovação; Microempresas; Micro e pequenas empresas; Administração de empresas; Inovações tecnológicas; Pequenas e médias empresas - Inovações tecnológicas; Concorrência; Pesquisa e desenvolvimento; Pequenas e médias empresas - Brasil

This research aims to identify which factors influence the technological innovation in micro and small businesses in Brazil, through the analysis of secondary data from the Survey of Technological Innovation (PINTEC 2008), conducted by the Brazilian Institute of Geography and Statistics (IBGE) at 16,371 companies in selected industries and services. To that end, we made statistical modeling of micro-data on the su b-sample formed by the 3,092 micro and small businesses surveyed by PINTEC 2008. The analysis of correlations between the variables that influence innovation and four variables that characterize the type and scope of technological innovation – product innovation for the domestic market, product innovation to the world market, process innovation for the domestic market, process innovation for the global market – allowed to select the most significant independent variables in terms of influence on the occurrence of innovation in micro and small enterprises. Based on these same correlations were developed logistic regressions (logit), in which the dependent variables chosen were the four variables characterizing the type and the scope of innovation mentioned above, and the independent variables were selected from those with greater explanatory power on the occurrence of innovation. Precautions have been taken to prevent occurrence of multicollinearity in the regressions. The results of the regressions, examined under the light of the literature review, reveal the importance of the independent variables for the occurrence of innovation in micro and small enterprises, and help in discussions about possible improvements in policies to stimulate technological innovation in micro and small enterprises.