Regional economic models for production and consumption aim to describe interaction between, and magnitude of, produced/consumed commodities and services. They have however been criticized for being weak and lack details. This constitutes a genuine problem since one of primary aims in regional science is to explain spatial spill-overs. Our aim in this research has been to assess capability of spatial interactions techniques in apprehending spatial dependencies. Spatial dependencies were observed in both error term, the dependent and among the independent predictors, suggesting that our models were spatial sensitive towards certain processes and attributes in their neighbouring locations.