LAPSE:2023.17543
Published Article

LAPSE:2023.17543
Evaluation of Energy Price Liberalization in Electricity Industry: A Data-Driven Study on Energy Economics
March 6, 2023
Abstract
This study aims to evaluate the effects of price liberalization on energy consumption intensity, because price liberalization leads to improved productivity, energy consumption management, and consumption reform. Although the energy consumption of large-scale factories and industries has increased dramatically, and the energies losses have an increment in the power transmission lines, this policy can result in decreasing the energy consumption intensity due to the changes in consumption patterns. If there is a correlation between two variables, the price can be a valid variable to control cost and increase consumption efficiency. The augmented Dickey−Fuller (ADF) and the Chi-squared tests are also employed to investigate the maneuverability of these variables in the first-order contrast. In this case study, the energy consumption intensity response to price changes using the data gathered between 1988−2020, has gained a confidence interval of these reactions at 95%. The proposed vector autoregressive (VAR) model has forecasted the action and reaction of the end-user, to investigate the future shocks between 2020−2050, considering a new price shock, in the Iranian energy market for the first time. The research findings have shown that energy price liberalization leads to the energy intensity improvement, however, the end-user (shocking) reactions should be investigated to implement a more sustainable policy that eases the new energy price rises.
This study aims to evaluate the effects of price liberalization on energy consumption intensity, because price liberalization leads to improved productivity, energy consumption management, and consumption reform. Although the energy consumption of large-scale factories and industries has increased dramatically, and the energies losses have an increment in the power transmission lines, this policy can result in decreasing the energy consumption intensity due to the changes in consumption patterns. If there is a correlation between two variables, the price can be a valid variable to control cost and increase consumption efficiency. The augmented Dickey−Fuller (ADF) and the Chi-squared tests are also employed to investigate the maneuverability of these variables in the first-order contrast. In this case study, the energy consumption intensity response to price changes using the data gathered between 1988−2020, has gained a confidence interval of these reactions at 95%. The proposed vector autoregressive (VAR) model has forecasted the action and reaction of the end-user, to investigate the future shocks between 2020−2050, considering a new price shock, in the Iranian energy market for the first time. The research findings have shown that energy price liberalization leads to the energy intensity improvement, however, the end-user (shocking) reactions should be investigated to implement a more sustainable policy that eases the new energy price rises.
Record ID
Keywords
electricity, electricity industry, energy intensity, energy price liberalization, GDP, high-dimensional data analysis, statistics, vector autoregressive models
Suggested Citation
Tabatabaei TS, Asef P. Evaluation of Energy Price Liberalization in Electricity Industry: A Data-Driven Study on Energy Economics. (2023). LAPSE:2023.17543
Author Affiliations
Tabatabaei TS: Faculty of Economics, Kharazmi University, Tehran 15719-14911, Iran
Asef P: School of Physics, Engineering & Computer Science, University of Hertfordshire, Hatfield AL10 9AB, UK [ORCID]
Asef P: School of Physics, Engineering & Computer Science, University of Hertfordshire, Hatfield AL10 9AB, UK [ORCID]
Journal Name
Energies
Volume
14
Issue
22
First Page
7511
Year
2021
Publication Date
2021-11-10
ISSN
1996-1073
Version Comments
Original Submission
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PII: en14227511, Publication Type: Journal Article
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LAPSE:2023.17543
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https://doi.org/10.3390/en14227511
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Mar 6, 2023
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