VARIÁVEIS ECONÔMICAS E O RESULTADO FINANCEIRO OPERACIONAL DE UMA MINERADORA DE MÉDIO PORTE NO BRASIL

Abstract

Mining is a sector of the Brazilian economy whose competitiveness is influenced by economic variables. The aim of this paper is to identify and measure economic variables that impact operating income in mining. First identifies himself as the manager thinks the influence of these variables on Operating Income (RO) by Cognitive Mapping (CM). After evaluating the impact of these variables on RO through Multiple Linear Regression (MLR). Thus, the descriptive exploratory study used qualitative and quantitative techniques (database of 44 months). Identified variables - sales, costs (electricity demand, labor, gas, oil (diesel and BPF), acid, soda) and Production (Industry and Construction) - only sales volume, cost of electricity tip, gas costs and BPF showed impact on RO. The MC shows up essential variables to identify the problem and RLM was effective to determine their impacts. Keywords - learnings, economic variables, cognitive mapping, multiple linear regression, mining.