Detalhes bibliográficos
Ano de defesa: |
2014 |
Autor(a) principal: |
Menezes, Djacir Holanda de |
Orientador(a): |
Não Informado pela instituição |
Banca de defesa: |
Não Informado pela instituição |
Tipo de documento: |
Dissertação
|
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/9539
|
Resumo: |
The objective of this work is to enable a measure to tax evasion on ICMS. For such a panel was built for the twenty-seven states of the federation containing information about the tax base - population, GDP, exports and imports, on the volume of intergovernmental transfers and finally, about the infrastructure surveillance. Data were collected at the SEFAZ and IBGE, generally at annual and corresponding to the time intervals between 1991 and 2010. The methodology used was the stochastic frontier model. The central idea to treat the concealment measure was to build a function based on information concealment on the base and on the infrastructure, so that the residual component was basically formed by evasion component, which technique to be consistent size in the efficiency. The results showed a level of evasion, during the twenty years analyzed, more than 57 trillion, with an annual average of over 2.1 billion. Among those states that had more damage from evasion excelled Piauí, the Rio de Janeiro and Rio Grande do Sul, while those who had the least damage were the states of Amapá, Ceará and Alagoas. |