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Previous issue date: 2013-08-30 / In the present paper it was analyzed the spatial distribution of poverty in Rio Grande do
Sul, the different definitions of poverty were discussed and the primary indicators of
poverty in Brazil and Rio Grande do Sul were described in a comparative way. Based
on the methodology of Human Poverty Index (HPI) of The United Nations
Development Programme (UNDP), three city poverty indexes were created. The first is
composed by the dimensions housing/sanitation, education, health and income, the
second excludes income and the third is solely composed by income. After the indexes
were created, three city poverty rankings were established and compared to the ranking
of the City Human Development of 2010. For the analysis of poverty distribution in the
State territory it was utilized Spatial Data Exploratory Analysis (SDEA) based on the
poverty indexes elaborated from data of the Demographic Census 2010. For the analysis
of poverty distribution in the State territory, the Explanatory Spatial Data Analysis
(ESDA) was used based on the Demographic Census of 2010. The data utilized in the
compilation of these indexes were collected at Instituto Brasileiro de Geografia e
Estat?stica (IBGE) through SIDRA database. The study found evidences of a pattern of
poverty spatial association in Rio Grande do Sul as well as existence of poverty clusters
in the State. The results demonstrated that the use of assessment methods of poverty
based only on family income tends to underestimate the intensity and its distribution
making it difficult to establish policies to try to eliminate it. It was evident the
importance of the use of poverty multidimensional definition both for a correct
measurement of it and for elaboration of adequate tools to fight it. / No presente trabalho, analisou-se a distribui??o espacial da pobreza no Rio Grande do
Sul, discutiram-se os diferentes conceitos de pobreza e se descreveram, de forma
comparativa, os indicadores prim?rios de pobreza do Brasil e do Rio Grande do Sul.
Tendo como base a metodologia do ?ndice de Pobreza Humana (IPH) do Programa das
Na??es Unidas para o Desenvolvimento (PNUD), criaram-se tr?s ?ndices de pobreza
municipal. O primeiro ? composto pelas dimens?es habita??o/saneamento, educa??o,
sa?de e renda, o segundo exclui a dimens?o renda, e o terceiro ? composto apenas pela
renda. Com os ?ndices criados, elaboraram-se tr?s rankings municipais de pobreza, que
foram comparados com o ranking do ?ndice de Desenvolvimento Humano Municipal de
2010. Para a an?lise da distribui??o da pobreza no territ?rio do estado, utilizou-se a
An?lise Explorat?ria de Dados Espaciais (AEDE), a partir de ?ndices de pobreza
elaborados com dados do Censo Demogr?fico de 2010. Os dados utilizados na
constru??o desses ?ndices foram disponibilizados pelo Instituto Brasileiro de Geografia
e Estat?stica (IBGE) atrav?s do banco SIDRA. O estudo encontrou evid?ncias de um
padr?o de associa??o espacial da pobreza no Rio Grande do Sul e, tamb?m, da
exist?ncia de clusters de pobreza no estado. Os resultados demonstraram que a
utiliza??o de m?todos de aferi??o da pobreza com base apenas na renda tende a
subestimar sua intensidade e distribui??o, dificultando a implanta??o de pol?ticas que
busquem elimin?-la. Evidenciou-se a import?ncia da utiliza??o do conceito
multidimensional de pobreza, tanto para uma correta mensura??o da mesma, como para
a elabora??o de instrumentos adequados ao seu combate.
| Identifer | oai:union.ndltd.org:IBICT/oai:tede2.pucrs.br:tede/3966 |
| Date | 30 August 2013 |
| Creators | Avila, Jos? Fl?vio |
| Contributors | Bagolin, Izete Pengo |
| Publisher | Pontif?cia Universidade Cat?lica do Rio Grande do Sul, Programa de P?s-Gradua??o em Economia do Desenvolvimento, PUCRS, BR, Faculdade de Administra?, Contabilidade e Economia |
| Source Sets | IBICT Brazilian ETDs |
| Language | Portuguese |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, info:eu-repo/semantics/masterThesis |
| Format | application/pdf |
| Source | reponame:Biblioteca Digital de Teses e Dissertações da PUC_RS, instname:Pontifícia Universidade Católica do Rio Grande do Sul, instacron:PUC_RS |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | -5405171042897922792, 500, 600, 685343171243503703 |
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