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No. of bitstreams: 1 JeanCarlosDosSantos_DISSERT.pdf: 2384951 bytes, checksum: a3bee8a2bc3dab828b39b947957ad74c (MD5) Previous issue date: 2017-06-02 / Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior (CAPES) / A concentra??o industrial ? capaz de influenciar as caracter?sticas de determinadas regi?es, algumas vezes de forma construtiva e outras destrutiva. ? importante observar que dependendo da localidade, algumas caracter?sticas se tornam predominantes na atra??o de ind?strias, tais como, tradi??es produtivas, formas de trabalho e o perfil dos consumidores. A Teoria da Nova Geografia Econ?mica, tendo como principais autores Krugman (1991), Fujita (1989), Venables (1996) e Thisse (1996), aborda os efeitos da localiza??o no mercado e, consequentemente, das aglomera??es industriais. O estudo desses autores ? feito a partir da Trindade Marshalliana (transbordamento de conhecimento, fornecedores de insumo e especializa??o do trabalhador) e do Modelo de Concorr?ncia Monopol?stica de Dixit-Stiglitz, que examina como economias de escala, retornos crescentes e custos de transporte podem incentivar ou justificar a concentra??o das firmas em determinadas localidades. No caso brasileiro, Lautert e Ara?jo (2007), Silva e Bacha (2014) e Resende (2015) tratam quest?es que envolvem as aglomera??es industriais. Neste sentido, este trabalho ter? como objetivo principal promover uma an?lise que investigue quais os fatores que influenciaram a concentra??o industrial entre as Unidades Federativas do Brasil no per?odo de 2003 a 2014. Para execu??o desse objetivo, ser? utilizado o ?ndice de Concentra??o Ellison e Glaeser para medir a concentra??o industrial. As vari?veis utilizadas na observa??o dos impactos da concentra??o s?o as proxies, da influ?ncia do governo sobre a concentra??o industrial (al?quota do ICMS), o transbordamento de conhecimento (anos de estudo), externalidades (participa??o regional das firmas, competitividade das firmas) e custo de neg?cio (custos de transporte). Os dados ser?o organizados em forma de painel e ser? elaborado um modelo econom?trico de Vetores Autorregressivos em Painel ? PVAR, que permitir? estudar as rela??es din?micas e mecanismos de ajustes entre as vari?veis analisadas. Como fonte de dados, majoritariamente, utilizam-se dados encontrados na Rela??o Anual de Informa??es Sociais (RAIS), Censo Demogr?fico do IBGE e Banco Central do Brasil. Este estudo contribui com a literatura ao utilizar um ?ndice pouco explorado a n?vel nacional e ferramentas econom?tricas in?ditas para o estudo da concentra??o industrial. Os resultados da an?lise em painel indicam que dentre as vari?veis utilizadas, as que apresentaram maior signific?ncia sobre a concentra??o industrial est?o relacionados ? influ?ncia do governo e as externalidades. Verificou-se que choques relacionados ao transbordamento de conhecimento impactam positivamente na concentra??o industrial. Podemos concluir, portanto, que as externalidades e educa??o formal s?o fatores importantes para atra??o de ind?strias em uma regi?o. / The industrial concentration is capable of influencing the characteristics of certain regions, sometimes constructive and sometimes destructive. It is important to notice that depending on the locality, some characteristics become predominant in attracting industries, such as productive traditions, ways of working and the profile of the consumers. The New Economic Geography Theory, whose main authors are Krugman (1991), Fujita (1989), Venables (1996) and Thisse (1996), approaches the effects of market location and, consequently, industrial agglomerations. The study of these authors is based on the Marshallian Trinity (knowledge overflow, input suppliers and worker specialization) and the Dixit-Stiglitz Monopolistic Competition Model, which examines how economies of scale, increasing returns and transport costs can encourage or sometimes justify the concentration of firms in certain localities. In the Brazilian case, Lautert and Ara?jo (2007), Silva and Bacha (2014) and Resende (2015) deal with issues involving industrial agglomerations. In this sense, this work will promote an analysis that investigates the factors that influenced the industrial concentration between the states of Brazil in the period that goes from 2003 to 2014. In order to achieve this goal, we will use the Ellison and Glaeser Concentration Index to measure the industrial concentration. The variables used to check the impacts of the concentration are the proxies, the influence of the government on the industrial concentration (ICMS rate), the knowledge overflow (years of study), externalities (firms' regional participation and firm competitiveness) and business cost (Transport costs). The data will be organized in panel form and an econometric model of Autorregressive Panel Vectors - PVAR will be elaborated, which will allow to study the dynamic relations and mechanisms of adjustments among the analyzed variables. As a data source, we used the data found in the Annual Social Information Ratio (RAIS), Demographic Census of the IBGE and Central Bank of Brazil. This study contributes to the literature by using an index that has not been explored at a national level and some new econometric tools for the study of industrial concentration. The results of the panel analysis indicate that among the variables used, those that presented the highest significance on industrial concentration are related to government influence and externalities. It was also verified that shocks related to knowledge overflow cause a positive impact on industrial concentration. We can therefore conclude that externalities and formal education are important factors when it comes to attracting industries in a region.