Crédito rural : distribuição no Estado do Paraná e suas implicações no Produto Interno Bruto (PIB) e no Índice IPARDES de Desempenho Municipal (IPDM)

Abstract

Credit has served as public policy, especially in Brazilian agriculture and livestock activities, in order to promote development and economic growth. On this way, this thesis aimed to identify the distribution of rural credit among the cities of Paraná State and verify how this policy affected the regional development indicators, such as Gross Domestic Product - GDP and Ipardes Municipal Performance Index - IPDM in the period from 2010 to 2014. This study is justified by the need to evaluate the performance of a consolidated public policy in the Paraná State that is responsible for the major participation in the total available resources. This is an exploratory-descriptive research with a qualitative-quantitative approach, which used secondary data from IBGE, the Brazilian Central Bank and IPARDES. For the analysis of the collected data, maps were developed using the software ArcGis, ArcMap 10.3.1, maps that, in addition to the precise data record allowed the visualization of the financial system structure in Paraná, as well as the municipality contribution of GDP, the performance of municipalities in the local development indicator - IPDM and the distribution of rural credit in Paraná. The results indicated that the organization of the financial system made strongly influenced on the economic aspects - as the case of GDP - and few or no effect was observed in the IPDM, which aims to measure local development. In relation to rural credit, 78% of the total average was allocated to agriculture and 22% to livestock. Among the modalities, the cost planning had the largest participation in the general average (59%), followed by investments (27%). The distribution of resources was not uniform geographically, since 20% of the municipalities used 67% of the total resources. The tests indicate, at the state level, a moderate correlation between rural credit and GDP and a weak correlation between rural credit and IPDM.