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Renewable, CO_2 emissions, Trade Openness, and Economic growth in Iran

机译:可再生,CO_2排放,贸易开放,伊朗经济增长

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This study examines the potential of Renewable Energy Consumption (REC) in decreasing the impact of carbon emission in Iran and the Greenhouse Gas (GHG) emissions, which leads to global warming. Using the Environmental Kuznets Curve (EKC) hypothesis, this study analyses the impact of electricity generated using RES on the environment and trade openness for the period 1975-2011, using the Autoregressive Distributed Lag (ARDL) approach. Results of unit root tests show that all variables are non-stationary in their level form and stationary in first difference form. The Cointegration analysis shows that there is evidence of cointegration among the test variables. The validity of the Environmental Kuznets Curve (EKC) hypothesis has been tested for these countries. Granger causality tests represent the existence of a unidirectional causality running from the square of per capita output to per capita CO_2 emissions and renewable energy. The renewable energy consumption and economic growth has a positive bidirectional causality and contribution on emissions in the short-term. There are certainly some clarifications that justify the causes of contribution of renewable energies on the emissions.
机译:本研究探讨了可再生能源消费(REC)降低伊朗碳排放的影响(GHG)排放的潜力,这导致全球变暖。使用环境库兹涅茨曲线(EKC)假设,通过自回归分布滞后(ARDL)方法,分析了使用RES对环境和贸易开放性产生的电力的影响。单位根测试的结果表明,所有变量都是在其水平形式中的非静止性,符合第一差异形式。协整分析表明,存在试验变量之间的协整的证据。对这些国家进行了测试环境库兹涅茨曲线(EKC)假设的有效性。格兰杰因果试验代表从人均CO_2排放和可再生能源的人均输出的平方跑的单向因果关系存在。可再生能源消费和经济增长在短期内具有积极的双向因果关系和对排放的贡献。当然有一些澄清,证明了可再生能源对排放的贡献的原因。

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