Financiamento, alocação de recursos e eficiência das Instituições Federais de Ensino Superior– IFES

Detalhes bibliográficos
Ano de defesa: 2010
Autor(a) principal: Costa, Edward Martins
Orientador(a): Não Informado pela instituição
Banca de defesa: Não Informado pela instituição
Tipo de documento: Tese
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Não Informado pela instituição
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Link de acesso: http://www.repositorio.ufc.br/handle/riufc/53509
Resumo: This thesis discusses three related points that belong to the spectrum stressing the IFES.The first deals with the investment issue in higher education trying to verify its sourcesand structures including besides four countries members of the OECD. The analysis showed that the Brazilian financing structure is similar to the one used in England when compared to the OECD four members. The second point approaches the resource allocation models used by Secretaria de Educação Superior (SESu) linked to Ministério da Educação (MEC) in the last decades and the real partition models as well.Then an analysis of the resources evolution is done that belong to the financing structure of the IFES. The results confirmed that the resources sent to the IFES through MDE have a down turn during the analyzed period, causing problems to the develop the IFES activities. The third and last point analyzes the federal public higher education efficiency through a non parametric technique called Data Envelopment Analysis(DEA). We estimated the frontiers of static each year and dynamic frontier, as well as the Malmquistindex that checks the productivity through panels. Theme asurement was achieved by means of some educational indicators management (that act as inputs and outputs in the production process) provided by the institutions, in the period from 2004to 2008. Further the total number of IFES (49) was divide in two subsets (group A with28 institutions and group B with 21 institutions) in order to minimize the heterogeneity existing in the sector. The efficiency frontier estimation results of static and dynamic models pointed out similarities, where they can be treated as frontiers with higher score levels of efficiency. On the other hand, the IFES productivity variation in each panel showed e downturn in productivity for most IFES. These results show that in spite of the frontiers present low scores of inefficiency, there was a shift of the technical frontierof efficiency to a lower level, pointing out that can occur deterioration of the educational product along the time.