Análise Espacial da Produtividade do Café na Bahia: 2000-2020

Abstract

The objective of the work is to analyze the average productivity of coffee production in Bahia in terms of land yield to verify productivity convergence between the period 2000 to 2020. To this end, methods of Spatial Data Exploration Analysis were used, verifying the formation of average productivity clusters through LISA (Local Indicator of Spatial Association) indicators. The econometric methods OLS, Tobit, SAR and SEM were used to analyze the spatial convergence among the municipalities in Bahia. The database was extracted from the Pesquisa Agrícola Municipal. The results point to the formation of clusters of high productivity in the southern and south-central regions of the state and the existence of positive spatial correlation of productivity among the municipalities. The MQO and Tobit models indicate the existence of convergence in the long term (2000-2020). In the medium term it is not possible to affirm convergence or divergence, however, location is an important factor.