Uma análise espacial dos empregos e das empresas no Brasil

• Ano de defesa: 2018
• Autor(a) principal: Ferreira, Rúbia Silene Alegre
• Orientador(a): Sandoval, Wilfredo Sosa
• Tipo de documento: Tese
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Católica de Brasília
• Programa de Pós-Graduação: Programa Stricto Sensu em Economia de Empresas
• Departamento: Escola de Gestão e Negócios
• País: Brasil
• Palavras-chave em Português: Empresa; Empregos; Aglomeração; Quociente Locacional Regional
• Palavras-chave em Inglês: Regional Locational Quotient; Agglomeration; Companies; Jobs
• Área do conhecimento CNPq: CNPQ::CIENCIAS SOCIAIS APLICADAS::ECONOMIA
• Resumo em Inglês: The general objective of this study was to work in a methodology that would allow the development of two parameters to evaluate the concentration of productive sectors by regions and time periods. Specifically, it was sought: a) to verify the agglomeration of jobs and companies by regions, states and sectors in Brazil; and b) introduce two parameters that allow the evaluation of the concentration of productive sectors by region and time period. The years considered to reach the established objectives extend from 1994 to 2015. For the first objective a spatial analysis of agglomerations assisted by graphs was made. In relation to the second objective, we adopted the Locational Quotient (QL) technique, which allows us to identify the concentration of variables analyzed in this study. QL uses three indices in its definition (one to refer to the sector, another the region and the last to the time). Therefore, when fixing the index that refers to the region, the other two indexes defined a sequence of matrices, where each one was defined as Regional Matrix of Locational Quotients. Considering that each matrix has a covariance matrix, it was possible to define the parameters: first, as the norm of eigenvalues (NAV), which contains all the eigenvalues of the covariance matrix associated with it; the second in turn, Percentages Greater than one (PMU), which presents the largest percentages, tending to one, in the regional matrix. Data were obtained from the Integrated Automatic Data Recovery System (SIDRA), from the Brazilian Institute of Geography and Statistics (IBGE). The software used to manipulate the data consisted of Excel, Scilab 6.0 and Siad. Based on the results it was observed that the parameters introduced here synthesize the concentration of the sectors throughout each period for the regions. In this way, it can be concluded that the use of the parameters can be useful in the investigation of the local economic problems, indicating clues that point to the real needs of regional development.
• Link de acesso: https://bdtd.ucb.br:8443/jspui/handle/tede/2541

The general objective of this study was to work in a methodology that would allow the development of two parameters to evaluate the concentration of productive sectors by regions and time periods. Specifically, it was sought: a) to verify the agglomeration of jobs and companies by regions, states and sectors in Brazil; and b) introduce two parameters that allow the evaluation of the concentration of productive sectors by region and time period. The years considered to reach the established objectives extend from 1994 to 2015. For the first objective a spatial analysis of agglomerations assisted by graphs was made. In relation to the second objective, we adopted the Locational Quotient (QL) technique, which allows us to identify the concentration of variables analyzed in this study. QL uses three indices in its definition (one to refer to the sector, another the region and the last to the time). Therefore, when fixing the index that refers to the region, the other two indexes defined a sequence of matrices, where each one was defined as Regional Matrix of Locational Quotients. Considering that each matrix has a covariance matrix, it was possible to define the parameters: first, as the norm of eigenvalues (NAV), which contains all the eigenvalues of the covariance matrix associated with it; the second in turn, Percentages Greater than one (PMU), which presents the largest percentages, tending to one, in the regional matrix. Data were obtained from the Integrated Automatic Data Recovery System (SIDRA), from the Brazilian Institute of Geography and Statistics (IBGE). The software used to manipulate the data consisted of Excel, Scilab 6.0 and Siad. Based on the results it was observed that the parameters introduced here synthesize the concentration of the sectors throughout each period for the regions. In this way, it can be concluded that the use of the parameters can be useful in the investigation of the local economic problems, indicating clues that point to the real needs of regional development.