Studying the Effect of Green Tax on Economic Growth and Iran’s Energy Consumption Using Recursive Dynamic Computable General Equilibrium (RDCGE)

In this study the effects levying various green taxes (base, 5%, 10% and 20%) on Iran’s fossil energy consumption (oil gas (OG), natural gas (NG) and gasoline (GA)), pollutant gas emission and social welfare was studied using a Recursive Dynamic Computable General Equilibrium (RDCGE) model. In order to RDCGE calibration, the Iran’s social accounting matrix (SAM)) and base scenario was used. Required data was gathered from central bank of Iran (CBI), Iran’s statistic center and ministry of energy during 2008-2016 seasonality. Also, data analyzing Matlab software was applied. Results indicate that in while increasing green tax, a positive shock of economic growth (1%), reduces the increasing trend of GO, NG and GA. Also, levying 0% and 5% green tax couldn’t make the consumption of mentioned energies efficient, levyeing 10% green tax makes the consumption of NG and GA efficient and levying 20% green tax makes the consumption of mentioned energies efficient. In addition, while increasing green tax, a positive shock of economic growth (1%), reduces the increasing trend of gas pullotants emission and in orther to decreasing gas pollutants emission during economic growth, 10% green tax should be levy. Finally, while increasing green tax from 0% to 5%, 10% and 20%, a positive shock of economic growth (1%), increases the social welfare, less than 1%, more than 1% and less than 1%, respectively. Therefore, between studied scenarios, levying 10% green tax is the best for increasing social welfare.