and has been applied to agricultural economics [12], aquaculture economics [13], and forestry for
modelling tree growth [14]; and recently to medical study [15]. It can explain the variation of a set of dependent variables in terms of the variation of general and specific independent variables and error terms specific to each individual, and can measure the temporal corrections across observations. The extensions to SUR model have been proposed to account for the spatial and temporal correlations across observations (i.e. spatial SUR model) [16,17],