Multivariate analysis of Brazilian soybeans production

Abstract

In order to understand the soybean production dynamics, an analysis was carried out using multivariate methods of principal component analysis (PCA) and Cluster analysis (CA) for the years 1996 to 2017The selected variables were: Brazilian soybean grains production, which was the dependent variable, interest rate, exchange rate (R$/U$), inflation index, unemployment rate, yield and Chinese imports. It was possible to conclude that two applied multivariate methods allowed to confidently evaluate the best contribution of the variables and their relationships according to the years considered in the research with the soybean culture, as well as identify that variables total quantity of Brazilian soybean imported from China and productivity were the ones that showed the most significant relationship with soybean production.