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Distributional and climate implications of policy responses to the energy crisis: Lessons from the UK

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  • Fetzer, Thiemo

    (University of Warwick, Department of Economics & CAGE)

  • Gazze, Ludovica

    (University of Warwick, Department of Economics & CAGE)

  • Bishop, Menna

    (University of Warwick)

Abstract

Which households will be most affected by the energy price shock? How large are the energy, financial, and environmental benefits of improved energy efficiency of the British residential building stock? How do policies or interventions in price setting in energy markets affect these incentives? We develop a measurement and ex-ante modelling approach using granular property-level micro data representing around 50% of the English and Welsh building stock. This allows us to quantify the likely impact of recent energy price shocks on energy bills and how these bills would look like if energy savings measures were implemented. We find, on average, that the energy price shock acts as a form of progressive taxation hitting better-off regions more than poorer ones, in absolute terms. We estimate that on aggregate, 30% of energy consumption could be saved if buildings were upgraded to their highest energy efficiency standard. At market prices, these savings range between GBP 10 to 20 billion pounds per year with the highest energy savings largely concentrated in the wealthiest parts of the UK. However, current policies weaken incentives for households to invest in energy efficiency upgrades. Current policies, such as the energy price cap, appears to be very regressive. Alternative, more targeted policies, are cheaper, easily implementable and could align incentives better.

Suggested Citation

  • Fetzer, Thiemo & Gazze, Ludovica & Bishop, Menna, 2022. "Distributional and climate implications of policy responses to the energy crisis: Lessons from the UK," CAGE Online Working Paper Series 644, Competitive Advantage in the Global Economy (CAGE).
  • Handle: RePEc:cge:wacage:644
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    File URL: https://warwick.ac.uk/fac/soc/economics/research/centres/cage/manage/publications/wp644.2022.pdf
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    References listed on IDEAS

    as
    1. Erica Myers, 2019. "Are Home Buyers Inattentive? Evidence from Capitalization of Energy Costs," American Economic Journal: Economic Policy, American Economic Association, vol. 11(2), pages 165-188, May.
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    3. Zhang, Tao & Siebers, Peer-Olaf & Aickelin, Uwe, 2012. "A three-dimensional model of residential energy consumer archetypes for local energy policy design in the UK," Energy Policy, Elsevier, vol. 47(C), pages 102-110.
    4. Guin, Benjamin & Korhonen, Perttu & Moktan, Sidharth, 2022. "Risk differentials between green and brown assets?," Economics Letters, Elsevier, vol. 213(C).
    5. Ahlrichs, Jakob & Wenninger, Simon & Wiethe, Christian & Häckel, Björn, 2022. "Impact of socio-economic factors on local energetic retrofitting needs - A data analytics approach," Energy Policy, Elsevier, vol. 160(C).
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    Cited by:

    1. Fetzer, Thiemo, 2023. "Regulatory barriers to climate action: evidence from conservation areas in England," CAGE Online Working Paper Series 654, Competitive Advantage in the Global Economy (CAGE).

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    Keywords

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    JEL classification:

    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis

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