• 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.
Saeed Sadzada Mogadam; Zin al-Abedin Sadeghi; Ahmad Quds Elahi
Volume 2, Issue 6 , April 2013, , Pages 107-127
Abstract
This paper intends to estimate the energy demand function in industry section based on the two-stage optimization approach. Consequently, it defines the substitution elasticity between inputs. Energy demand estimation in various sections makes it feasible to define energy policies. At the first phase ...
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This paper intends to estimate the energy demand function in industry section based on the two-stage optimization approach. Consequently, it defines the substitution elasticity between inputs. Energy demand estimation in various sections makes it feasible to define energy policies. At the first phase the key influential factors on the energy demand function estimation in industry section which is one of high consumption section, were defined and at the next phase the elements of energy demand were determined through logit function and seemingly unrelated regression estimation and price and substitution elasticity were calculated.
