A análise das estratégias de desenvolvimento acadêmico da UFSCar e suas implicações para a distribuição de recursos do MEC: indicadores de gestão

• Ano de defesa: 2011
• Autor(a) principal: Silva, Antonio Carlos Lopes da
• Orientador(a): Quoniam, Luc
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de São Carlos
• Programa de Pós-Graduação: Programa de Pós-Graduação em Ciência, Tecnologia e Sociedade - PPGCTS
• País: BR
• Palavras-chave em Português: Desenvolvimento social ciência, tecnologia e sociedade; Ensino superior - financiamento; Matriz de distribuição de recursos
• Palavras-chave em Inglês: Higher education funding; Resource allocation matrix
• Área do conhecimento CNPq: CIENCIAS SOCIAIS APLICADAS
• Link de acesso: https://repositorio.ufscar.br/handle/20.500.14289/1065

The fast growth experienced by UFSCar in recent years, in the spheres of education, research and extension was accompanied by a growth in its physical structure, with the creation of two new campuses. The immediate consequence was the increase in spending this new funding structure, which was not accompanied by corresponding increase in transfers of government funds, which has the matrix distribution of budget resources of the Ministry of Education, composed of academic and research indicators for each institution, a major source of federal funding of institutions of higher education. This dissertation, first, to present a review of the forms of financing higher education in Brazil, and particularly at UFSCar, and analyze and understand the many variables that make up the matrix distribution of budget resources of the MEC, based on the indicator Equivalent Student. For this second goal we applied the multivariate regression analysis on data matrix in order to subsidize an institutional policy to improve the current rate which determines the allocation of resources to UFSCar. As a result, the first objective, it was possible to confirm the difficulty of financing the maintenance of federal institutions of higher education, in this way, are dependent on the ability of its managers to seek extra resources for the development of education, research and extension. Regarding the results of the multivariate analysis, we identified that the main variables of the matrix are the number of graduates and the number of new students, showing that the model focuses on productivity without regard to quality. A model consisting of quantitative and qualitative variables would be more in line with the characteristics of the Brazilian federal universities, namely the pursuit of excellence.