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Previous issue date: 2018-08-24 / Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior - CAPES / The main objective of the thesis is to analyze the level of quality of life between the coastal and non-coastal municipalities of Brazil associated to the environmental, economic and social dimensions. The specific objectives are: to characterize the socioeconomic structure of coastal and non-coastal municipalities and to identify whether there are differences in the quality of life of the population. For that, the approach of human development and economic geography was used as a theoretical reference in order to define quality of life and well-being, as well as the economic and social characteristics that are related to these concepts. The use of this theoretical framework allowed to reach a better definition of the dimensions of analysis and to proceed to the empirical analysis using the Propensity Score Matching (PSM) method. The aim was to identify differences in the quality of life between the coastal and non-coastal areas of Brazil. The empirical analysis suggests evidence contrary to the common sense that in regions with greater potential for concentration of economic activities there is a higher quality of life. Regarding the economic characteristics, the results found corroborate the theory, showing that, in fact, there is a flagrant economic concentration in the coastal municipalities. However, the analysis of environmental and social characteristics showed that although coastal municipalities are more developed from a purely economic point of view, when considered other aspects of development these municipalities perform worse. / O objetivo principal da tese ? analisar o n?vel de qualidade de vida entre os munic?pios costeiros e n?o costeiros do Brasil associado ?s dimens?es ambiental, econ?mica e social. Os objetivos espec?ficos constituem-se em: caracterizar a estrutura s?cio econ?mica dos munic?pios costeiros e n?o costeiros e identificar se existem diferenciais de qualidade de vida da popula??o. Para tanto, foram utilizados como referencial te?rico a abordagem do desenvolvimento humano e Geografia Econ?mica de modo a definir qualidade de vida e bem-estar, bem como as caracter?sticas econ?micas e sociais que est?o relacionadas com esses conceitos. A utiliza??o desse referencial te?rico permitiu alcan?ar tamb?m uma melhor defini??o das dimens?es de an?lise para, a partir de ent?o, proceder ? an?lise emp?rica utilizando-se o m?todo Propensity Score Matching (PSM). Buscou-se, assim, identificar as diferen?as de qualidade de vida entre a zona costeira e n?o costeira brasileira. A an?lise emp?rica realizada sugere evid?ncias contr?rias ao senso comum de que em regi?es com maior potencial de concentra??o de atividades econ?micas h? maior qualidade de vida. No que diz respeito ?s caracter?sticas econ?micas, os resultados encontrados corroboram a teoria, mostrando que existe, de fato, flagrante concentra??o econ?mica nos munic?pios costeiros. No entanto, a an?lise das caracter?sticas ambientais e sociais mostraram que embora os munic?pios costeiros sejam mais desenvolvidos do ponto de vista puramente econ?mico, quando considerados outros aspectos do desenvolvimento esses munic?pios apresentam desempenho pior.
| Identifer | oai:union.ndltd.org:IBICT/oai:tede2.pucrs.br:tede/8328 |
| Date | 24 August 2018 |
| Creators | Morel, Blanca Lila Gamarra |
| 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, Brasil, Escola de Neg?cios |
| Source Sets | IBICT Brazilian ETDs |
| Language | Portuguese |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, info:eu-repo/semantics/doctoralThesis |
| 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, 500, 500, 600, 944455694546435801, -2504903392600098822, 2075167498588264571 |
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