Determinantes da transparência das universidades federais brasileiras
Ano de defesa: | 2013 |
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Autor(a) principal: | |
Orientador(a): | |
Banca de defesa: | |
Tipo de documento: | Dissertação |
Tipo de acesso: | Acesso aberto |
Idioma: | por |
Instituição de defesa: |
Universidade Federal do Espírito Santo
BR Mestrado Profissional em Gestão Pública Centro de Ciências Jurídicas e Econômicas UFES Programa de Pós-Graduação em Gestão Pública |
Programa de Pós-Graduação: |
Não Informado pela instituição
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Departamento: |
Não Informado pela instituição
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País: |
Não Informado pela instituição
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Palavras-chave em Português: | |
Link de acesso: | http://repositorio.ufes.br/handle/10/2481 |
Resumo: | This study measures the degree of transparency of information in the electronic portals of Brazilian federal universities and identifies determinants for such transparency. It prepared an Index Disclosure of Federal Universities (IndexDUF) based on indices Dixon, Coy and Tower (1993), Rosario et. al. (2011) and Catholic (2011), which is applied to the portals of all 59 Brazilian federal universities. There was an average level of disclosure of 66.32 % between the federal universities. Information relating to the extension are the most widespread (85.88 %) has information related to quality academic or administrative are less widely between federal universities, with a level of disclosure of 41.69 %. It was also found that universities in South and Southeast tend to be more transparent than universities in other regions, since they represent seven of the ten Brazilian universities to disclose more. Already universities North and Northeast represent eight of the ten universities that less disclose, however, such perceptions were not statistically significant. Were also tested 15 hypotheses to see which determinants (variables) are relevant to explain the transparency in the federal universities. Thus, we used 31 proxies for the determinants of transparency, which were tested using multiple linear regression, in which eight models were estimated using the election intentional determinants and five other models using the Backward procedure. The model 04, considered the most relevant and what best fits the design of the research shows that the determinants Size faculty (Xtadoc), size of the technical- administrative (Xtaserv), Quality Graduation (Quagr), Quality post graduate (QUAPG) and Qualification of teachers (QuaDoc2) are determinants of transparency |