عنوان مقاله [English]
Todays, energy consumption for experts and economists is one of the components of the performance evaluation of governments and countries, and energy intensity is considered as one of the indicators for assessing energy efficiency. The main purpose of this paper is to study some of the influential factors of energy intensity, such as GDP per capita, industrialization and transportation infrastructure which has been studied considering the spatial links between the provinces during the period from 2008 to 2014. For this purpose, the spatial panel econometric method has been used to estimate the model. The results of Spatial Autoregressive Model with Auto Regressive disturbances (SAC) show that the energy intensity was influenced by the spatial factor in Iran. So, the energy intensity in a province is not only influenced by the internal factors of the province but is also influenced by the energy intensity of the adjacent province. In other words, any external shock to a province will lead to a reduction in energy intensity in adjacent provinces. Also, the results show that GDP per capita has a negative and significant effect and industrialization and transport infrastructure variables have a positive and significant effect on energy intensity in Iran's provinces.