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Structural Analysis of Electricity Demand and Supply Interactions

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  • Carlo Fezzi
  • Derek Bunn

Abstract

type="main" xml:lang="en"> We specify a structural asymmetric vector error-correction model to identify and estimate the demand and supply functions in hourly day-ahead wholesale electricity markets. In doing so, we provide, inter alia, new insights into a well-established but unresolved issue concerning the extent of the demand elasticity to price in these markets. We show that whilst demand appears to be inelastic in the short-run, the quantity traded on the market is significantly influenced by the price level and responds to previous disequilibria in the supply curve through an asymmetric error-correction mechanism, reacting to a positive disequilibrium but not to a negative one.

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  • Carlo Fezzi & Derek Bunn, 2010. "Structural Analysis of Electricity Demand and Supply Interactions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(6), pages 827-856, December.
    • Handle: RePEc:bla:obuest:v:72:y:2010:i:6:p:827-856
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    Cited by:

    1. Simona Bigerna & Carlo Andrea BOLLINO, 2013. "Hourly Electricity Demand in Italian Market," Quaderni del Dipartimento di Economia, Finanza e Statistica 121/2013, Università di Perugia, Dipartimento Economia.
    2. Tarek Atalla & Simona Bigerna & Carlo Andrea Bollino, 2018. "Energy demand elasticities and weather worldwide," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 35(1), pages 207-237, April.
    3. Francesco Ravazzolo & Luca Rossini, 2023. "Is the Price Cap for Gas Useful? Evidence from European Countries," Working Papers 2023.23, Fondazione Eni Enrico Mattei.
    4. Raphael Calel, 2020. "Adopt or Innovate: Understanding Technological Responses to Cap-and-Trade," American Economic Journal: Economic Policy, American Economic Association, vol. 12(3), pages 170-201, August.
    5. Carlo Fezzi & Valeria Fanghella, 2020. "Real-time estimation of the short-run impact of COVID-19 on economic activity using electricity market data," Papers 2007.03477, arXiv.org.
    6. F. M. Andersen & H. V. Larsen & L. Kitzing & P. E. Morthorst, 2014. "Who gains from hourly time‐of‐use retail prices on electricity? An analysis of consumption profiles for categories of Danish electricity customers," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 3(6), pages 582-593, November.
    7. Simona Bigerna and Carlo Andrea Bollino, 2014. "Electricity Demand in Wholesale Italian Market," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    8. Jacek Artur Strojny & Michał Stanisław Chwastek & Elżbieta Badach & Sławomir Jacek Lisek & Piotr Kacorzyk, 2022. "Impacts of COVID-19 on Energy Expenditures of Local Self-Government Units in Poland," Energies, MDPI, vol. 15(4), pages 1-25, February.
    9. Galdi, Giulio & Casarin, Roberto & Ferrari, Davide & Fezzi, Carlo & Ravazzolo, Francesco, 2023. "Nowcasting industrial production using linear and non-linear models of electricity demand," Energy Economics, Elsevier, vol. 126(C).
    10. Møller, Niels Framroze & Møller Andersen, Frits, 2015. "An econometric analysis of electricity demand response to price changes at the intra-day horizon: The case of manufacturing industry in West Denmark," MPRA Paper 66178, University Library of Munich, Germany, revised 15 Aug 2015.
    11. Carlo Fezzi & Valeria Fanghella, 2020. "Real-Time Estimation of the Short-Run Impact of COVID-19 on Economic Activity Using Electricity Market Data," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 76(4), pages 885-900, August.
    12. Katarzyna Maciejowska, 2014. "Fundamental and speculative shocks, what drives electricity prices?," HSC Research Reports HSC/14/05, Hugo Steinhaus Center, Wroclaw University of Science and Technology.
    13. Simona Bigerna and Carlo Andrea Bollino, 2015. "A System Of Hourly Demand in the Italian Electricity Market," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    14. Gugler, Klaus & Haxhimusa, Adhurim & Liebensteiner, Mario, 2016. "Integration and Efficiency of European Electricity Markets: Evidence from Spot Prices," Department of Economics Working Paper Series 226, WU Vienna University of Economics and Business.
    15. Paulo Bastos & Lucio Castro & Julian Cristia & Carlos Scartascini, 2015. "Does Energy Consumption Respond to Price Shocks? Evidence from a Regression-Discontinuity Design," Journal of Industrial Economics, Wiley Blackwell, vol. 63(2), pages 249-278, June.
    16. Carlo Fezzi & Luca Mosetti, 2018. "Size matters: Estimation sample length and electricity price forecasting accuracy," DEM Working Papers 2018/10, Department of Economics and Management.
    17. Bashiri Behmiri, Niaz & Fezzi, Carlo & Ravazzolo, Francesco, 2023. "Incorporating air temperature into mid-term electricity load forecasting models using time-series regressions and neural networks," Energy, Elsevier, vol. 278(C).
    18. Stefan Thoenes, 2014. "Understanding the Determinants of Electricity Prices and the Impact of the German Nuclear Moratorium in 2011," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    19. Tran, Nhan Dang & Sahu, Naresh Chandra, 2023. "Asymmetric price response of industrial electricity demand in India," Utilities Policy, Elsevier, vol. 82(C).
    20. Fezzi, Carlo & Fanghella, Valeria, 2021. "Tracking GDP in real-time using electricity market data: Insights from the first wave of COVID-19 across Europe," European Economic Review, Elsevier, vol. 139(C).
    21. Carlo Fezzi & Valeria Fanghella, 2020. "Real-time estimation of the short-run impact of COVID-19 on economic activity using electricity market data," DEM Working Papers 2020/8, Department of Economics and Management.
    22. Thoenes, Stefan, 2011. "Understanding the Determinants of Electricity Prices and the Impact of the German Nuclear Moratorium in 2011," EWI Working Papers 2011-6, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).

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