Pesquisa e desenvolvimento: uma análise da eficiência e da influência na produtividade dos fatores no Brasil

• Ano de defesa: 2018
• Autor(a) principal: Silva, Luiz Marcel Chagas da
• Orientador(a): Silva Filho, Osvaldo Cândido da
• Tipo de documento: Tese
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Católica de Brasília
• Programa de Pós-Graduação: Programa Stricto Sensu em Economia de Empresas
• Departamento: Escola de Gestão e Negócios
• País: Brasil
• Palavras-chave em Português: Pesquisa; Eficiência; Unidades de pesquisa; Envelopamento de dados
• Palavras-chave em Inglês: Data envelopment; Research units; Efficiency; Research
• Área do conhecimento CNPq: CNPQ::CIENCIAS SOCIAIS APLICADAS::ECONOMIA
• Resumo em Inglês: This work comprises two studies on regional economics. In the first one, the technical efficiency of fourteen Research Units (UP) of the Ministry of Science, Technology, Innovations and Communications (MCTIC) was measured through the data envelopment analysis (DEA) with three variables (two inputs and one output) using the BCC model (Banker, Charnes and Cooper, 1984), for performance measurement, with variable returns of scale, oriented to input. The analysis was performed annually, triennial and triennial year by year and the results show that two units achieved efficiency above 80%, five units achieved efficiency between 50% and 79% and seven units were efficiently below 49%. These results can be used for the implementation and formulation of new national R&D policies in Brazil, such as the creation of more efficient strategies in the application of the federal public resources, the restructuring of the National Science, Technology and Innovation System (SNCTI) and the qualification and recruitment of new professionals. In the second study, the relationship between the total factor productivity, the capital stock used in Research and Development of the public research institutes, the stock of public capital and the stock of human capital in the period from 2002 to 2016 in the northern, northeast, southeast and center-west regions that have public research institutes. The regression model with panel data was used to estimate the relationship between independent variables (capital in Research and Development, public capital and human capital) and the dependent variable (total factor productivity). The result showed that only the human capital (worker education) is a relevant variable in explaining regional productivity, with an impact on productivity growth in the regions analyzed.
• Link de acesso: https://bdtd.ucb.br:8443/jspui/handle/tede/2478

This work comprises two studies on regional economics. In the first one, the technical efficiency of fourteen Research Units (UP) of the Ministry of Science, Technology, Innovations and Communications (MCTIC) was measured through the data envelopment analysis (DEA) with three variables (two inputs and one output) using the BCC model (Banker, Charnes and Cooper, 1984), for performance measurement, with variable returns of scale, oriented to input. The analysis was performed annually, triennial and triennial year by year and the results show that two units achieved efficiency above 80%, five units achieved efficiency between 50% and 79% and seven units were efficiently below 49%. These results can be used for the implementation and formulation of new national R&D policies in Brazil, such as the creation of more efficient strategies in the application of the federal public resources, the restructuring of the National Science, Technology and Innovation System (SNCTI) and the qualification and recruitment of new professionals. In the second study, the relationship between the total factor productivity, the capital stock used in Research and Development of the public research institutes, the stock of public capital and the stock of human capital in the period from 2002 to 2016 in the northern, northeast, southeast and center-west regions that have public research institutes. The regression model with panel data was used to estimate the relationship between independent variables (capital in Research and Development, public capital and human capital) and the dependent variable (total factor productivity). The result showed that only the human capital (worker education) is a relevant variable in explaining regional productivity, with an impact on productivity growth in the regions analyzed.