عنوان مقاله [English]
In centralized economies, geographic inequality is one of the most important dimensions of inequality that policymakers care about. The Land Spatial Plan is the government's most important policy in Iran's economy to reduce inequality and poverty in spatial and geographical dimensions. The aim of this study was to evaluate the spatial effect of income inequality, relative poverty, real per capita income growth, unemployment, real exchange rate and real interest rate on real purchasing power of durable goods using the generalized spatial self-regression torque model SAR-GMM-DPD with two-stage coefficients Arellano-Bover / Bundel- Band Stochastic dynamics among the provinces of Iran in the period 2005
-2017. The results showed that according to the theory of binary consumption theory, durable goods have a function of broken demand, so that the first break of the dependent variable with a coefficient of 0.009 has a positive effect on the purchasing power of durable goods. The first SAR space interval is also negative and significant - 0.007, which indicates the negative spatial dependence between the provinces of Iran, ie the effects of independent variables on the dependent variable have indirect spatial and geographical effects. Income inequality with a coefficient of -0.43 has a negative impact on the purchasing power of durable household goods. The relative poverty line with a coefficient of -0.06 has a negative effect on purchasing power, and as the relative poverty line moves to the upper deciles of income, the purchasing power of durable goods decreases.