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Regional Heterogeneous Drivers of Electricity Demand in Saudi Arabia

Author

Listed:
  • Jeyhun Mikayilov
  • Abdulelah Darandary
  • Ryan Alyamani
  • Fakhri Hasanov
  • Hatem Al Atawi

    (King Abdullah Petroleum Studies and Research Center)

Abstract

Aggregate residential electricity consumption in Saudi Arabia has increased rapidly over the past several decades, largely due to population increases and fast economic growth (SAMA 2019). The growth in electricity consumption has been driven, among other factors, by government-administered prices fixed in nominal terms for years with minor adjustments.

Suggested Citation

  • Jeyhun Mikayilov & Abdulelah Darandary & Ryan Alyamani & Fakhri Hasanov & Hatem Al Atawi, 2020. "Regional Heterogeneous Drivers of Electricity Demand in Saudi Arabia," Discussion Papers ks--2020-dp18, King Abdullah Petroleum Studies and Research Center.
    • Handle: RePEc:prc:dpaper:ks--2020-dp18
    DOI: 10.30573/KS--2020-DP18
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    Citations

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    Cited by:

    1. Jeyhun I. Mikayilov & Shahriyar Mukhtarov & Jeyhun Mammadov, 2020. "Gasoline Demand Elasticities at the Backdrop of Lower Oil Prices: Fuel-Subsidizing Country Case," Energies, MDPI, vol. 13(24), pages 1-18, December.
    2. Fahad Saleh Al-Ismail & Md Shafiul Alam & Md Shafiullah & Md Ismail Hossain & Syed Masiur Rahman, 2023. "Impacts of Renewable Energy Generation on Greenhouse Gas Emissions in Saudi Arabia: A Comprehensive Review," Sustainability, MDPI, vol. 15(6), pages 1-19, March.
    3. Salaheddine Soummane & F. Ghersi, 2022. "Projecting Saudi sectoral electricity demand in 2030 using a computable general equilibrium model," Post-Print hal-03500916, HAL.
    4. Carlos Enrique Carrasco-Gutierrez & Philipp Ehrl, 2023. "Regional Estimates of Residential Electricity Demand in Brazil," International Journal of Energy Economics and Policy, Econjournals, vol. 13(1), pages 465-476, January.
    5. Salma Hamad Almuhaini & Nahid Sultana, 2023. "Forecasting Long-Term Electricity Consumption in Saudi Arabia Based on Statistical and Machine Learning Algorithms to Enhance Electric Power Supply Management," Energies, MDPI, vol. 16(4), pages 1-28, February.
    6. Gasim, Anwar A. & Agnolucci, Paolo & Ekins, Paul & De Lipsis, Vincenzo, 2023. "Modeling final energy demand and the impacts of energy price reform in Saudi Arabia," Energy Economics, Elsevier, vol. 120(C).

    More about this item

    Keywords

    Energy consumption; Energy demand; Energy modeling; Energy policy; Residential electricity;
    All these keywords.

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