Tecnologia na produtividade agrícola familiar: uma análise espacial para o Nordeste

Abstract

The main objective of this study is to identify the common factors among family farmers through variables that capture agricultural technology, to identify the spatial relationship using the factor that represents productivity, and to order the municipalities according to their level of technology in the Northeast. To this end, factor analysis was used to extract the common factors, followed by exploratory analysis of global spatial data and LISA, and finally, to rank the municipalities using the min-max method. The data used were extracted from the 2017 Agricultural Census. In the factor analysis, 8 factors were found that, together, explain 83.3% of the variability. In the global AEDE, several high-high patterns were found, while in the LISA AEDE, few high-high patterns and several low-low patterns were found. In the ranking, in the IMN, 8.01% of municipalities were identified as high, 27.12% as medium, and 64.87% as low. It is concluded that the NE lacks more public policies that give access to credit to family farmers so that they can invest in technology on their properties.