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Evaluation of Energy Price Liberalization in Electricity Industry: A Data-Driven Study on Energy Economics

Author

Listed:
  • Tayebeh Sadat Tabatabaei

    (Faculty of Economics, Kharazmi University, Tehran 15719-14911, Iran)

  • Pedram Asef

    (School of Physics, Engineering & Computer Science, University of Hertfordshire, Hatfield AL10 9AB, UK)

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.

Suggested Citation

  • Tayebeh Sadat Tabatabaei & Pedram Asef, 2021. "Evaluation of Energy Price Liberalization in Electricity Industry: A Data-Driven Study on Energy Economics," Energies, MDPI, vol. 14(22), pages 1-19, November.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:22:p:7511-:d:676090
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    as
    1. Topcu, Ebru & Altinoz, Buket & Aslan, Alper, 2020. "Global evidence from the link between economic growth, natural resources, energy consumption, and gross capital formation," Resources Policy, Elsevier, vol. 66(C).
    2. Caporale, Guglielmo Maria & Gil-Alana, Luis A., 2004. "Fractional cointegration and tests of present value models," Review of Financial Economics, Elsevier, vol. 13(3), pages 245-258.
    3. Li, Muyi & Zhang, Yanfen, 2022. "Bootstrapping multivariate portmanteau tests for vector autoregressive models with weak assumptions on errors," Computational Statistics & Data Analysis, Elsevier, vol. 165(C).
    4. Szőke, Tamás & Hortay, Olivér & Farkas, Richárd, 2021. "Price regulation and supplier margins in the Hungarian electricity markets," Energy Economics, Elsevier, vol. 94(C).
    5. Romualdas Ginevičius & Yuriy Bilan & Grzegorz Kądzielawski & Miloslav Novotny & Tomasz Kośmider, 2021. "Evaluation of the Sectoral Energy Development Intensity in the Euro Area Countries," Energies, MDPI, vol. 14(17), pages 1-12, August.
    6. Nicolli, Francesco & Vona, Francesco, 2019. "Energy market liberalization and renewable energy policies in OECD countries," Energy Policy, Elsevier, vol. 128(C), pages 853-867.
    7. Bahareh Oryani & Yoonmo Koo & Shahabaldin Rezania, 2020. "Structural Vector Autoregressive Approach to Evaluate the Impact of Electricity Generation Mix on Economic Growth and CO 2 Emissions in Iran," Energies, MDPI, vol. 13(16), pages 1-16, August.
    8. Bożena Gajdzik & Włodzimierz Sroka & Jolita Vveinhardt, 2021. "Energy Intensity of Steel Manufactured Utilising EAF Technology as a Function of Investments Made: The Case of the Steel Industry in Poland," Energies, MDPI, vol. 14(16), pages 1-17, August.
    9. Engle, R. F. & Granger, C. W. J. (ed.), 1991. "Long-Run Economic Relationships: Readings in Cointegration," OUP Catalogue, Oxford University Press, number 9780198283393.
    10. Hall, Alastair R. & Inoue, Atsushi & Nason, James M. & Rossi, Barbara, 2012. "Information criteria for impulse response function matching estimation of DSGE models," Journal of Econometrics, Elsevier, vol. 170(2), pages 499-518.
    11. Sheng, Xin & Gupta, Rangan & Ji, Qiang, 2020. "The impacts of structural oil shocks on macroeconomic uncertainty: Evidence from a large panel of 45 countries," Energy Economics, Elsevier, vol. 91(C).
    12. Katarzyna Szymczyk & Dilek Şahin & Haşim Bağcı & Ceyda Yerdelen Kaygın, 2021. "The Effect of Energy Usage, Economic Growth, and Financial Development on CO 2 Emission Management: An Analysis of OECD Countries with a High Environmental Performance Index," Energies, MDPI, vol. 14(15), pages 1-21, August.
    13. Simon Pezzutto & Gianluca Grilli & Stefano Zambotti & Stefan Dunjic, 2018. "Forecasting Electricity Market Price for End Users in EU28 until 2020—Main Factors of Influence," Energies, MDPI, vol. 11(6), pages 1-18, June.
    14. Stanly Jayaprakash & Manikanda Devarajan Nagarajan & Rocío Pérez de Prado & Sugumaran Subramanian & Parameshachari Bidare Divakarachari, 2021. "A Systematic Review of Energy Management Strategies for Resource Allocation in the Cloud: Clustering, Optimization and Machine Learning," Energies, MDPI, vol. 14(17), pages 1-18, August.
    15. Sims, Christopher A & Stock, James H & Watson, Mark W, 1990. "Inference in Linear Time Series Models with Some Unit Roots," Econometrica, Econometric Society, vol. 58(1), pages 113-144, January.
    16. Salmanzadeh-Meydani, N. & Fatemi Ghomi, S.M.T., 2019. "The causal relationship among electricity consumption, economic growth and capital stock in Iran," Journal of Policy Modeling, Elsevier, vol. 41(6), pages 1230-1256.
    17. repec:spo:wpmain:info:hdl:2441/f6h8764enu2lskk9p544jc8op is not listed on IDEAS
    18. Štefan Bojnec & Alan Križaj, 2021. "Electricity Markets during the Liberalization: The Case of a European Union Country," Energies, MDPI, vol. 14(14), pages 1-21, July.
    19. Jeong, Dongyeon & Park, Chiwoo & Ko, Young Myoung, 2021. "Short-term electric load forecasting for buildings using logistic mixture vector autoregressive model with curve registration," Applied Energy, Elsevier, vol. 282(PB).
    20. Erica Virginia & Josep Ginting & Faiz A.M. Elfaki, 2018. "Application of GARCH Model to Forecast Data and Volatility of Share Price of Energy (Study on Adaro Energy Tbk, LQ45)," International Journal of Energy Economics and Policy, Econjournals, vol. 8(3), pages 131-140.
    21. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    22. Abbasi, Faiza & Riaz, Khalid, 2016. "CO2 emissions and financial development in an emerging economy: An augmented VAR approach," Energy Policy, Elsevier, vol. 90(C), pages 102-114.
    23. Pan, Xiongfeng & Uddin, Md. Kamal & Saima, Umme & Jiao, Zhiming & Han, Cuicui, 2019. "How do industrialization and trade openness influence energy intensity? Evidence from a path model in case of Bangladesh," Energy Policy, Elsevier, vol. 133(C).
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    2. Zahra Zarepour, 2022. "Short- and long-run macroeconomic impacts of the 2010 Iranian energy subsidy reform," SN Business & Economics, Springer, vol. 2(10), pages 1-32, October.

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