• 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.
Mohsen Pourebadollahan Covich; Firouz Fallahi; Kioumars Heydari; Pouyan Kiani
Abstract
Since electricity distribution companies operate in various environmental conditions, their relative efficiency scores used for regulation purposes, should be corrected for environmental factors that could influence the underlying efficiency of them. This paper conducts efficiency correction for 39 Iranian ...
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Since electricity distribution companies operate in various environmental conditions, their relative efficiency scores used for regulation purposes, should be corrected for environmental factors that could influence the underlying efficiency of them. This paper conducts efficiency correction for 39 Iranian electricity distribution companies applying two stage (DEA and Tobit) analysis in 2015. Accordingly, first to the efficiency performances of the electricity distribution companies are determined using DEA. In the second stage, the Tobit model is emploied to determine the environment factors which may explain the calculated efficiency scores. Based on the results, the rainfall level and the customer mix have negative and positive effects on efficiency of electricity distribution companies, respectively. Hence, the primary efficiency scores of DEA are corrected for environmental influences. The comparison of the primary and the corrected efficiencies indicate a significant changes in the efficiency scores and the ranking of the Iranian electricity distribution companies, such that the efficiency of companies with higher rainfall and lower industrial customers relative to their average, have increased, and vice versa.
