• مطالعات اقتصادی مرتبط با حاملهای انرژی (فسیلی، تجدیدپذیر و برق)
Ahmad Sadraei javaheri; Elaheh Abbaspour Kazerouni
Abstract
Energy is one of the essential inputs in production that due to inefficient and inappropriate use of its resources, its consumption has increased significantly. In this regard, the identification of factors affecting energy consumption in the provinces is important. This study aims to investigate the ...
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Energy is one of the essential inputs in production that due to inefficient and inappropriate use of its resources, its consumption has increased significantly. In this regard, the identification of factors affecting energy consumption in the provinces is important. This study aims to investigate the effect of urbanization on energy consumption in Iranian provinces. To do so, we used the STIRPAT model to design the econometric model. The spatial error econometric model in panel data was used to estimate the effect of urbanization on energy consumption in 28 Iranian provinces from 2002 to 2015. The results show that the relationship between urbanization and energy consumption is inverted U-shaped. This finding indicates that an increase in urbanization first causes to increase and then decreases energy consumption.
Fayrouz Falahi; Samad Hekmati Farid
Volume 2, Issue 6 , April 2013, , Pages 129-150
Abstract
In this paper we survey the main determinants of CO2 emission in the Iranian provinces. For this purpose first we provide per capita Co2 emission as a criterion of Environmental pollution and energy intensity in 28 provinces of Iran within 2003-2007, then the impact of population, urbanization, ...
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In this paper we survey the main determinants of CO2 emission in the Iranian provinces. For this purpose first we provide per capita Co2 emission as a criterion of Environmental pollution and energy intensity in 28 provinces of Iran within 2003-2007, then the impact of population, urbanization, energy intensity and per capita income on the environmental degradation are investigated by panel data model. The results revealed that population; urbanization, energy intensity, and per capita income have positive and significant effect on co2 emission in the Iranian provinces.
