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:: Volume 21, Issue 84 (Spring 1404 2025) ::
QEER 2025, 21(84): 1-30 Back to browse issues page
Modeling and Analysis of Natural Gas Demand in Different Economic Sectors (An Autoregressive Distributed Lag Approach)
Abstract:   (275 Views)

This study employs the Autoregressive Distributed Lag (ARDL) model to estimate the natural gas demand in six economic sectors, including household, agriculture, transportation, commercial, industrial, and power plants. The data used for this analysis spans during thr period of 2011 - 2022 and is derived from the national energy balance sheets.
The modeling results indicate that the price elasticity of demand in the estimated functions is very low, meaning that the gas demand in these sectors is not highly responsive or sensitive to price changes. One reason for the low price elasticity is the regulated pricing of natural gas in these sectors. Additionally, the low price, assuming other conditions remain constant, reduces the sensitivity of consumers to price fluctuations.
In most sectors, the elasticity of value-added and GDP surpasses other elasticities, highlighting that income has a more significant impact on natural gas demand. This effect is particularly pronounced in the industrial and power plant sectors. Therefore, the gas demand in these sectors is closely tied to the level of economic activity.
JEL Classification: Q41, Q43, C22
Keywords: Natural Gas Demand, economic sectors, Autoregressive Distributed Lag (ARDL) model.
 

Keywords: Natural Gas Demand, economic sectors, Autoregressive Distributed Lag (ARDL) model.
Full-Text [PDF 1822 kb]   (110 Downloads)    
Type of Study: Research | Subject: مدل هاي نفت و گاز
Received: 2024/10/27 | Accepted: 2024/12/29 | Published: 2025/05/31 | ePublished: 2025/05/31
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Modeling and Analysis of Natural Gas Demand in Different Economic Sectors (An Autoregressive Distributed Lag Approach). QEER 2025; 21 (84) :1-30
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Volume 21, Issue 84 (Spring 1404 2025) Back to browse issues page
فصلنامه مطالعات اقتصاد انرژی Quarterly Energy Economics Review
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