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

机译:变量人口增长,城市化和经济增长对伊朗二氧化碳排放的影响

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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.
机译:本文探讨了五个变量的当量关系和长期性:1973年至2004年伊朗的CO2排放量,能源使用强度,国内生产总值增长率,城市人口和增长人口及其相互之间的影响。对2008年进行了分析。为此,已使用向量自回归模型(VAR)。通过使用Dickey-fuller检验对变量的第一稳定性进行了检验。接下来,使用约翰逊检验分析法考虑了五个变量之间的收敛性。这项研究的结果表明,能源使用强度,国内生产总值增长率,城市人口和增长人口等所有变量均对CO2排放产生积极影响。

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