Bacharelado em Ciências Econômicas (Sede)
URI permanente desta comunidadehttps://arandu.ufrpe.br/handle/123456789/7
Siglas das Coleções:
APP - Artigo Publicado em Periódico
TAE - Trabalho Apresentado em Evento
TCC - Trabalho de Conclusão de Curso
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Resultados da Pesquisa
Item Investimentos em transporte rodoviário e desempenho econômico do Nordeste brasileiro(2023-09-05) Oliveira, Alessandro Araújo de; Silva, Diego Firmino Costa da; http://lattes.cnpq.br/8895265465747877; http://lattes.cnpq.br/4862772810331109This monograph has the general objective of using bivariate spatial autocorrelation measures and the Ordinary Least Squares method to assess the impacts of public policies within the scope of road transport infrastructure on the long-term economic performance of the Brazilian Northeast, as well as its neighborhood. We verified how the transition from railroads to highways from the 1960s onwards influenced the long-term spatial pattern of activities in the Northeast. We calculated the differentials of the minimum distances between 1960 to 1970, 1970 to 1980, 1980 to 1990, 1990 to 2000 and 2000 to 2010. With this, it was possible to know which comparable minimum areas of the Northeast are more lived or spatially heterogeneous, and which ones have behaved these locations over the decades, through the Clusters map. It will also be possible to estimate whether reductions in the distance to access roads had an effect on long-term economic growth in the following decades in the region. Important results were identified in economic growth at local levels as observed in the cluster maps. However, based on the results extracted using the ordinary least squares method, consider that this expansion of highways and the reduction of distances over the decades were not enough to bring statistically achieved results that could confirm that the evolution of the road network can bring a higher GDP per capita throughout the northeastern territory.Item Localização das empresas do setor de tecnologia em Pernambuco: uma análise exploratória de dados espaciais(2022-10-13) Santana, Mariana Maria Freitas de; Silva, Diego Firmino Costa da; http://lattes.cnpq.br/8895265465747877; http://lattes.cnpq.br/3786228704990357The present research aims to analyze how technology companies are located, beyond the metropolitan region of Recife. For this, three variables were considered: total number of companies in the technology sector in the state, total number of employed persons and volume of salaries and remuneration paid. The data were obtained through the IBGE for the period between 2006 and 2019. The methodology used was the Exploratory Analysis of Spatial Data, which consists of detailing and visualizing the spatial distributions of the data studied, identifying, for example, if there are atypical locations (outliers spatial) and patterns of spatial associations (clustering and spatial clusters). More specifically, the methods used were univariate global spatial autocorrelation, which uses only one indicator for the entire region analyzed in order to find out if the data are randomly distributed or if they are linked to some systematic spatial pattern, through Moran's I coefficient. The other method is univariate local spatial autocorrelation, which checks whether global patterns of spatial autocorrelation can be associated with local patterns. The results indicated at first that the technology sector is losing its agglomeration characteristic in the Metropolitan Region of Recife, migrating to cities further away from the center such as Caruaru, Petrolina and Serra Talhada.Item Uma análise exploratória de dados espaciais para criminalidade violenta no estado de Pernambuco(2021-12-15) Silva, Thalia Ariely Marques; Araújo, Chiara Natércia França; Silva, Diego Firmino Costa da; http://lattes.cnpq.br/8895265465747877; http://lattes.cnpq.br/7273384016233113This study aims to identify spatial patterns in violent crime rates in the state of Pernambuco, northeastern Brazil, based on the Economic Theory of Crime. Through the application of the rates of CVLI (Lethal and Intentional Violent Crime) and CVP (Violent Crime against Property), which represent the rates of homicide and robbery, in the period from 2014 to 2020, as variables of interest. For this proposal, the AEDE (Spatial Data Exploration Analysis) methodology was used, with the intention of testing spatial autocorrelation and identifying spatial clusters. With this, spatial clusters were identified, for both variables, in the mesoregions: Sertão, Agreste and RMR (Metropolitan Region of Recife). In addition, it was verified the rupture of the pattern of behavior in the year 2020 in different ways for each variable under study, as a possible effect of the covid-19 pandemic. It was also noted a possibility of future study regarding the increment of the income variable with the GDP (Gross Domestic Product) per capita of each municipality, by performing a spatial analysis with bivariate Local Moran's I, which resulted in low autocorrelation.