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:: Volume 26, Issue 87 (Quarterly Journal Of Economic Research and Policies 2018) ::
3 2018, 26(87): 221-247 Back to browse issues page
Parametric and Non-parametric Estimation of Environmental Kuznets Curve in Iran
Somayeh Azami
, sazami_econ@yahoo.com
Abstract:   (564 Views)
 
The purpose of this paper is to examine a systematic relationship between environmental pollution and economic development in Iran. Environmental Kuznets Curve (EKC) is an empirical relationship to illustrate the links between environmental pollution, income, and economic growth. By testing EKC hypothesis, a question is answered implicitly: Do high per capita income and the growth lead to reduce pollution? Here, we first estimate the model with using Iran's (country) time series data, and then, we apply the panel data of Iran's provinces in the model. The existence of EKC does not rejected by the results of nonparametric estimation of time series data (Iran) and the results of parametric estimation of panel data (Iran's states) for Iran. Based on empirical confirmation of EKC pattern in Iran, it can be concluded that increase in the income can lead to clean environmental pollution derived from early stages of economic growth through some mechanisms – including imposing the tax on emissions, establishing control rules and regulations and activation of 
Keywords: Kuznets Environmental Curve, parametric estimation, nonparametric estimation, Iran.
Full-Text [PDF 1020 kb]   (252 Downloads)    
Type of Study: Applicable | Subject: Special
Received: 2018/01/28
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Azami S. Parametric and Non-parametric Estimation of Environmental Kuznets Curve in Iran . 3. 2018; 26 (87) :221-247
URL: http://qjerp.ir/article-1-2008-en.html


Volume 26, Issue 87 (Quarterly Journal Of Economic Research and Policies 2018) Back to browse issues page
فصلنامه پژوهشها و سیاستهای اقتصادی Journal of Economic Research and Policies
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