Recently, empirical econometric research has started to take into account the potential bias and loss
of efficiency when spatial effects are ignored in the estimation process. The spatial econometrics
methods deals with this kind of problem, by incorporating the spatial dependence into model
specification. The application of this methodology has wide use, including rural economy, as
apiculture. Currently, brazilian beekeeping is undergoing an expressive growth, projecting the
country through the honey production and other bee products as well. Although, beekeeping sector
has faced some important problems to reduce the deficits that strongly influence the beekeeping
chain. Important issues are related to market, especially to understand the factors that influence
the honey prices. This study aims to identify socio-economic, technological, management and
geographic factors that have influenced the honey prices in Brazil. The analyses were based on
classical linear and spatial econometrics regression models. In order to measure spatial dependence
the Moran’s Index was applied and the stepAIC and Nagelkerke Pseudo-R² approaches to select
the most appropriate model. The best model identified factors linked to improper agricultural
practices, access to fund, honey production level, market competition and educational level as
target variables that influence the honey prices in Brazil.