The article introduces a new model that combines different ways to account for spatial relationships in analyzing data. This model can capture both global and local effects of spatial connections while considering factors that affect efficiency and other hidden variables. It can be estimated using a specific statistical method. The researchers tested the model using simulations and applied it to the Italian agricultural sector.