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Determinants of energy consumption and exposure to energy price risk: a UK study
[Determinanten des Energieverbrauchs und Energiepreisrisiko: Eine Studie aus Großbritannien]

Author

Listed:
  • Franz Fuerst

    (University of Cambridge)

  • Dimitra Kavarnou

    (University of Cambridge)

  • Ramandeep Singh

    (University of Cambridge)

  • Hassan Adan

    (University of Cambridge)

Abstract

In this study, we examine the drivers of household energy consumption with a view towards gauging which households are particularly vulnerable to energy price risk. We specifically investigate the relative importance of household socio-economic characteristics versus dwelling characteristics in explaining per capita gas consumption for space heating. The study draws upon a large random sample of households from the English Housing Survey (EHS) to understand the importance of, and interaction between, household and building characteristics. A multivariate OLS regression is used to identify the relative effects of various consumption drivers on gas used for space heating. The use of standardised coefficients allows for a discussion of the marginal contributions of each factor to energy consumption. The results show that variation in gas usage is largely determined by household socio-economic characteristics rather than physical dwelling characteristics. This includes the significant influence of household characteristics such as composition (or type), size, employment status, and income. The main contribution of the study is to underline the relative importance of household socio-economic characteristics over dwelling characteristics in explaining per capita energy consumption. The reported findings challenge the prevailing policy practice, which focusses mostly on dwelling characteristics.

Suggested Citation

  • Franz Fuerst & Dimitra Kavarnou & Ramandeep Singh & Hassan Adan, 2020. "Determinants of energy consumption and exposure to energy price risk: a UK study [Determinanten des Energieverbrauchs und Energiepreisrisiko: Eine Studie aus Großbritannien]," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 6(1), pages 65-80, April.
  • Handle: RePEc:spr:gjorer:v:6:y:2020:i:1:d:10.1365_s41056-019-00027-y
    DOI: 10.1365/s41056-019-00027-y
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    References listed on IDEAS

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    4. Novani Karina Saputri & Lourentius Dimas Setyonugroho & Djoni Hartono, 2024. "Exploring the determinants of energy poverty in Indonesia’s households: empirical evidence from the 2015–2019 SUSENAS," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.
    5. Viktorija Bobinaite & Inga Konstantinaviciute & Arvydas Galinis & Mária Bartek-Lesi & Viktor Rácz & Bettina Dézsi, 2022. "Energy Sufficiency in the Household Sector of Lithuania and Hungary: The Case of Heated Floor Area," Sustainability, MDPI, vol. 14(23), pages 1-19, December.
    6. Wang, Lan & Lee, Eric W.M. & Hussian, Syed Asad & Yuen, Anthony Chun Yin & Feng, Wei, 2021. "Quantitative impact analysis of driving factors on annual residential building energy end-use combining machine learning and stochastic methods," Applied Energy, Elsevier, vol. 299(C).
    7. Simonovits, András & Kotek, Péter & Horváth, Gábor & Takácsné Tóth, Borbála, 2023. "Az energiaárak támogatása Magyarországon - egy egyszerű modell [Subsidizing energy prices in Hungary - a simple model]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(6), pages 589-612.
    8. Alfonso Carfora & Giuseppe Scandurra, 2024. "Forecasting Energy Poverty in European Countries: The Effect of Increasing Energy Commodities Prices," Energies, MDPI, vol. 17(5), pages 1-14, March.
    9. Kunofiwa Tsaurai, 2021. "Macroeconomic Determinants of Energy Consumption in BRICS (Brazil, Russia, India, China, South Africa)," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(2), pages 405-423.

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