The effect of variables population growth, urbanization and economic growth on CO2 Emissions in Iran

Abstract

In this paper, equivalence relation and long term of five variables: CO2 emissions,the intensity of energy use, gross domestic product growth rate, urban population and growth population, and also their influences on each other in Iran for years 1973 to 2008 have been analyzed. For this purpose, vector autoregressive model (VAR) has been used. The first stability of variables by the use of Dickey-fuller test has been examined. Next, analysis of Johnson test for considering the convergence among five variables has been used. The results of this research show that all variables of the intensity of energy use, gross domestic product growth rate, urbanpopulation and growth population have positive effect on CO2 emissions. Key words: CO2 emissions, urban population, gross domestic product growth rate, vector autoregressive model (VAR).