• مطالعات اقتصادی مرتبط با حاملهای انرژی (فسیلی، تجدیدپذیر و برق)
pouyan kiani; Kioumars Heydari; Maryam Nafisi Moghadam
Abstract
The purpose of this study is to investigate the price elasticity of household and non-household electricity demand across 31 provinces of Iran from 2011 to 2021. Due to the skewness of the dependent variable, the panel quantile regression method was chosen. The results show that the price elasticity ...
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The purpose of this study is to investigate the price elasticity of household and non-household electricity demand across 31 provinces of Iran from 2011 to 2021. Due to the skewness of the dependent variable, the panel quantile regression method was chosen. The results show that the price elasticity of household electricity demand ranges of -0.069 to -0.115. The price elasticity demand of non-household ranges from -0.021 to -0.043. It reveals that price elasticities are less than one for both groups. According to the results, electricity is an inelastic good in Iran. Also, the elasticity of electricity demand is higher for households than for non-household. Moreover, the results show that an increas in the price of natural gas, which is the closest substitute for electricity, has had a negligible impact on the electricity demand of the household and non-household sectors. Among other model results, we can mention the incredible influence of demand habits on household and non-household electricity demand.
مطالعات اقتصادی مرتبط با حاملهای انرژی (فسیلی، تجدیدپذیر و برق)
Ali Moridian; Zahra Azizi
Abstract
The impact of technological advances on energy consumption is one of the topics that has been considered by many researchers and policymakers. Numerous researchers have tried to evaluate this relationship based on various technology indicators. The index of economic complexity is one of the new indicators ...
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The impact of technological advances on energy consumption is one of the topics that has been considered by many researchers and policymakers. Numerous researchers have tried to evaluate this relationship based on various technology indicators. The index of economic complexity is one of the new indicators that has been used in recent years to measure the level of knowledge and technology in the production structure. In this paper, the index of economic complexity along with energy prices and GDP have been used as determining factors of energy consumption in Iran during the period 1976 to 2018. Quantile regression results show that the coefficients of the variables are different in the deciles. The impact of economic complexity on energy consumption in all deciles has been positive, indicating the dominance of the rebound effect on energy consumption. Price elasticity is less than one in all deciles and less in the higher consumption deciles. In contrast, the income elasticity of energy demand was higher in the upper deciles
• مطالعات اقتصادی مرتبط با حاملهای انرژی (فسیلی، تجدیدپذیر و برق)
Ameneh Anooshehpour; Reza Moghaddasi; Amir MohammadiNejad; Saeed Yazdani
Abstract
Considering the critical role of energy consumption and productivity in economic growth, the central purpose of this study is to investigate the effect of some key macroeconomic variables and energy consumption on the total factor productivity of the agriculture sector in Iran. First, the Solo residual ...
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Considering the critical role of energy consumption and productivity in economic growth, the central purpose of this study is to investigate the effect of some key macroeconomic variables and energy consumption on the total factor productivity of the agriculture sector in Iran. First, the Solo residual parametric method is employed to estimate the total factor productivity index. Subsequently, the quantile regression method is applied to time series data for the period 1967-2016 in order to investigate the impact of mentioned variables on the total factor productivity. The main results showed that energy consumption and lagged inflation rate have a negative and significant impact on the total factor productivity in agriculture in the 0.25 and 0.5 quantiles. On the contrary, market exchange rate, foreign investment, and lagged TFP exhibit a positive and significant impact on the total factor productivity of the agricultural sector.
