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:: year 13, Issue 52 (6-2022) ::
2022, 13(52): 3-3 Back to browse issues page
Analysis of energy optimization policies in Iran using econometric & decomposition methods
Ghasem Arab 1, Esmaiil Ghaderifar2
1- Assistant professor, Department of Mechanical Engineering, Yadegar-e-Imam Khomeini (RAH) Shahre-Rey Branch, Islamic Azad University, Tehran, Iran , Gh.arab@iausr.ac.ir
2- Head of the Strategic Technologies Development Center, Vice Presidency for Science and Technology, Presidency if the Islamic Republic of Iran, Tehran, Iran
Abstract:   (976 Views)
In this research, energy data of the country from 1374 to 1397 are presented and econometric analysis and decomposition analysis methods (Laspeyres and Logarithmic mean Divisia index) are used to identify and determine the effect of activity, structure and energy intensity on energy consumption. The results of econometric method analysis show that the fitted function of energy consumption based on the two variables of population and value added with R2 = 99% is valid and the population factor has a greater effect than the value added factor on changes in energy consumption. The results of the Decomposition analysis show that the Divisia method has a higher accuracy than the Laspeyres method and according to this method and during the whole period, the average structural effect is 48%, activity effect is 18% and energy intensity effect is 18% in increasing energy consumption.
 
Keywords: Decomposition Analysis, Econometric analysis, Energy consumption, Energy policy, Energy optimization.
Full-Text [PDF 967 kb]   (555 Downloads)    
Type of Study: Research | Subject: Management
Received: 2021/07/5 | Accepted: 2021/10/25 | Published: 2022/06/21
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Arab G, Ghaderifar E. Analysis of energy optimization policies in Iran using econometric & decomposition methods. Strategic studies in the oil and energy industry 2022; 13 (52) :3-3
URL: http://iieshrm.ir/article-1-1352-en.html


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year 13, Issue 52 (6-2022) Back to browse issues page
فصلنامه مطالعات راهبردي در صنعت نفت و انرژي Strategic Studies in Petroleum and energy Industry
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