Faculdade de Filosofia e Ciências Humanas
Fomento para a área do patrimônio museológico brasileiro: o incentivo fiscal, a Lei Rouanet e os museus da região Nordeste
Abstract
dc:description.abstractThe projects presented by or for the museums of the Northeast region are the starting point of this dissertation, which aims to analyze the impact of the Fiscal Incentive via Rouanet Law in the safeguarding of Brazilian museum heritage, which is under the custody of these museums. In order to identify which are the valid projects for the research, we took the total of proposals presented in all cultural areas and expenditures attributed to the states: Alagoas, Bahia, Ceará, Maranhão, Paraíba, Pernambuco, Piauí, Rio Grande do Norte and Sergipe - comprehending the period from 1991 to 2016, which corresponds to 25 years of the Rouanet Law. Later, we selected the valid projects and identified the recurrent expenses in each item, which became the areas defined by the research itself: edification, exhibition, collection and others. The research also elucidates the participation of museums in the trajectory of the construction of public policies in Brazil; discusses the advance in the set of laws that shape the museological field; the creation of regulatory frameworks in order to build specific legislation for sustentation and autonomy of the sector; the difficulties in adapting the cultural marketing carried out by museums to the requirements of the Market; and the development of a sectorial policy (National Museum Policy).
Degree
thesis:*- Grantor
- Faculdade de Filosofia e Ciências Humanas
- Year dc:date.issued
- 2019
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Almeida, Rafaela Caroline Noronha
- Advisor dc:contributor.advisor
-
- Cunha, Marcelo Nascimento Bernardo da
Subjects
dc:subject × 14Rights
dc:rights- Statement dc:rights
-
- Acesso Aberto
- Language dc:language.iso
- pt_BR
Identifiers
dc:identifier.*- Repository record dc:identifier.uri
- http://repositorio.ufba.br/ri/handle/ri/31867
- OAI identifier oai:identifier
- oai:repositorio.ufba.br:ri/31867