Três ensaios sobre crédito, cooperativismo financeiro e crescimento econômico

• Ano de defesa: 2018
• Autor(a) principal: Höher, Ricardo
• Orientador(a): Souza, Osmar Tomaz de
• Tipo de documento: Tese
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Pontifícia Universidade Católica do Rio Grande do Sul
• Programa de Pós-Graduação: Programa de Pós-Graduação em Economia do Desenvolvimento
• Departamento: Escola de Negócios
• País: Brasil
• Palavras-chave em Português: Sistema Financeiro; Crédito Rural; Cooperativas de Crédito; Distribuição Espacial; Eficiência
• Área do conhecimento CNPq: CIENCIAS SOCIAIS APLICADAS::ECONOMIA
• Link de acesso: http://tede2.pucrs.br/tede2/handle/tede/8329

This thesis presents three essays on credit cooperatives, the Financial System and the relationship with economic growth in Rio Grande do Sul, where data from 2013 to 2016 were used, coming from the Central Bank of Brazil – BCB, Foundation for Economics and Statistics - FEE and the Brazilian Institute of Geography and Statistics - IBGE. In the first essay, it tried to test the hypothesis about the existence of a positive correlation between financial development and economic growth in Rio Grande do Sul and its mesoregions, by means of Quantum Regression techniques, having as dependent variable the GDP per capita and independent variables the rural credit value per capita, credit operations per capita and the existence of PAs of credit cooperatives in municipalities. The results of the empirical application have confirmed the existence of a positive relationship between the development of the financial system and the economic growth of Rio Grande do Sul and its mesoregions. In the second essay, the objective was to analyze the spatial distribution of credit cooperatives and the rural credit concession in the municipalities of Rio Grande do Sul, as well as to verify the relation with the GDP of each city. An Exploratory Analysis of Spatial Data - AEDE was carried out, where the results of the research confirmed the existence of spatial dependence for the variables of interest of the study. The PAs of credit cooperatives presented spatial autocorrelation in 148 municipalities and the concession of rural credit in 179 cities. In the bivariate analysis, GDP/rural credit 179 municipalities have spatial autocorrelation, same number for rural credit/credit cooperative PAs, and 148 cities for GDP/PAs ratio of credit cooperatives. Finally, in the third essay the objective was to measure and analyze the efficiency of credit cooperatives established in the State of Rio Grande do Sul, considering those linked in the SICREDI, CRESOL, CREHNOR, UNICRED and SICOOB systems, through the Data Envelopment Analysis (DEA) method. The model applied, in the proposal of this work, showed that the average efficiency of the gaucho cooperatives in the period under analysis was 76.32%, and the highest average was 79.20% in 2013, where 17 cooperatives were considered to be 100% efficient and the worst average was 73.37% in 2014, which represents an efficiency balance between the periods analyzed.