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This study aims to analyze the growth of agroindustry in Brazil in the period from 2006 to 2016. For this purpose, the Exploratory Spatial Data Analysis (ESDA) and the Geographically Weighted Regression (GWR) were used. The ESDA indicated the existence of positive spatial autocorrelation in the growth of agribusiness establishments, while the results of the RPG, which estimates the local effects of the model in question, showed the local effect of the variables GDP per capita, locational quotient of agriculture, livestock value added. agriculture, microregion area and percentage of employees with high school level in the microregions of the North and Northeast regions of the country, regions that presented the highest growth rates in the period and contributed significantly to the growth of the agroindustry.

Efeitos locais dos determinantes do crescimento da agroindústria no Brasil