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The impact of public health measures on household energy consumption: The case of the UK COVID-19 tier system

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  • Mayr, Kentaro Florian
  • Agnolucci, Paolo

Abstract

Substantial attention has been paid to household energy consumption during COVID-19 lockdowns, however, there exists a dearth of studies on the impact of more granular health restrictions; understanding the consequences of differentiated health measures is important for policymakers and grid operators alike. We investigate the marginal impact of additional restrictions by studying the COVID-19 tier system of the UK. Each additional tier tightened applicable rules and imposed more restrictions to many aspects of life, such as the types of social interactions that were permissible and which stores were allowed to operate. We use the novel vector matching method, which enables causal identification of treatment effects in cases of multiple ordinal treatments. Our results indicate that moving from a low-restrictions environment to a medium and high restriction environment increased electricity consumption by 18% to 45%, respectively. These increases in consumption manifest predominantly between 9AM to 5PM, even when remaining home is not required by the measures in place. The changes in behaviour resulting from additional restrictions would amount to 0.57 £/day (＋18%) and 1.41 £/day (＋45%) when transitioning from low to medium and high restrictions, respectively.

Suggested Citation

  • Mayr, Kentaro Florian & Agnolucci, Paolo, 2024. "The impact of public health measures on household energy consumption: The case of the UK COVID-19 tier system," Energy Economics, Elsevier, vol. 138(C).
    • Handle: RePEc:eee:eneeco:v:138:y:2024:i:c:s0140988324004961
    DOI: 10.1016/j.eneco.2024.107788
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    1. Stephen Snow & Richard Bean & Mashhuda Glencross & Neil Horrocks, 2020. "Drivers behind Residential Electricity Demand Fluctuations Due to COVID-19 Restrictions," Energies, MDPI, vol. 13(21), pages 1-20, November.
    2. Desen Kirli & Maximilian Parzen & Aristides Kiprakis, 2021. "Impact of the COVID-19 Lockdown on the Electricity System of Great Britain: A Study on Energy Demand, Generation, Pricing and Grid Stability," Energies, MDPI, vol. 14(3), pages 1-25, January.
    3. Krarti, Moncef & Aldubyan, Mohammad, 2021. "Review analysis of COVID-19 impact on electricity demand for residential buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    4. Jones, Rory V. & Fuertes, Alba & Lomas, Kevin J., 2015. "The socio-economic, dwelling and appliance related factors affecting electricity consumption in domestic buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 901-917.
    5. Trevor Memmott & Sanya Carley & Michelle Graff & David M. Konisky, 2021. "Sociodemographic disparities in energy insecurity among low-income households before and during the COVID-19 pandemic," Nature Energy, Nature, vol. 6(2), pages 186-193, February.
    6. Tamaryn Menneer & Zening Qi & Timothy Taylor & Cheryl Paterson & Gengyang Tu & Lewis R. Elliott & Karyn Morrissey & Markus Mueller, 2021. "Changes in Domestic Energy and Water Usage during the UK COVID-19 Lockdown Using High-Resolution Temporal Data," IJERPH, MDPI, vol. 18(13), pages 1-21, June.
    7. Ai, Hongshan & Zhong, Tenglong & Zhou, Zhengqing, 2022. "The real economic costs of COVID-19: Insights from electricity consumption data in Hunan Province, China," Energy Economics, Elsevier, vol. 105(C).
    8. Kavousian, Amir & Rajagopal, Ram & Fischer, Martin, 2013. "Determinants of residential electricity consumption: Using smart meter data to examine the effect of climate, building characteristics, appliance stock, and occupants' behavior," Energy, Elsevier, vol. 55(C), pages 184-194.
    9. Andersen, F.M. & Gunkel, P.A. & Jacobsen, H.K. & Kitzing, L., 2021. "Residential electricity consumption and household characteristics: An econometric analysis of Danish smart-meter data," Energy Economics, Elsevier, vol. 100(C).
    10. Michelle Graff & Sanya Carley, 2020. "COVID-19 assistance needs to target energy insecurity," Nature Energy, Nature, vol. 5(5), pages 352-354, May.
    11. 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.
    12. Larsen, Bodil Merethe & Nesbakken, Runa, 2004. "Household electricity end-use consumption: results from econometric and engineering models," Energy Economics, Elsevier, vol. 26(2), pages 179-200, March.
    13. 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.
    14. Katsuya Yamori & James D. Goltz, 2021. "Disasters without Borders: The Coronavirus Pandemic, Global Climate Change and the Ascendancy of Gradual Onset Disasters," IJERPH, MDPI, vol. 18(6), pages 1-21, March.
    15. Burlinson, Andrew & Giulietti, Monica & Law, Cherry & Liu, Hui-Hsuan, 2021. "Fuel poverty and financial distress," Energy Economics, Elsevier, vol. 102(C).
    16. Emilio Ghiani & Marco Galici & Mario Mureddu & Fabrizio Pilo, 2020. "Impact on Electricity Consumption and Market Pricing of Energy and Ancillary Services during Pandemic of COVID-19 in Italy," Energies, MDPI, vol. 13(13), pages 1-19, July.
    17. 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.
    18. Sławomir Bielecki & Tadeusz Skoczkowski & Lidia Sobczak & Janusz Buchoski & Łukasz Maciąg & Piotr Dukat, 2021. "Impact of the Lockdown during the COVID-19 Pandemic on Electricity Use by Residential Users," Energies, MDPI, vol. 14(4), pages 1-32, February.
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    More about this item

    Keywords

    Public health measures; Household electricity consumption; COVID-19; Tier system;
    All these keywords.

    JEL classification:

    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • D69 - Microeconomics - - Welfare Economics - - - Other

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