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Effect of global warming on willingness to pay for uninterrupted electricity supply in European nations

Author

Listed:
  • Jed Cohen

    (The Energy Institute at Johannes Kepler University)

  • Klaus Moeltner

    (Department of Agricultural and Applied Economics)

  • Johannes Reichl

    (The Energy Institute at Johannes Kepler University)

  • Michael Schmidthaler

    (The Energy Institute at Johannes Kepler University
    Energie AG Oberoesterreich Trading)

Abstract

Predicted changes in temperature and other weather events may damage the electricity grid and cause power outages. Understanding the costs of power outages and how these costs change over time with global warming can inform outage-mitigation-investment decisions. Here we show that across 19 EU nations the value of uninterrupted electricity supply is strongly related to local temperatures, and will increase as the climate warms. Bayesian hierarchical modelling of data from a choice experiment and respondent-specific temperature measures reveals estimates of willingness to pay (WTP) to avoid an hour of power outage between €0.32 and €1.86 per household. WTP varies on the basis of season and is heterogeneous between European nations. Winter outages currently cause larger per household welfare losses than summer outages per hour of outage. However, this dynamic will begin to shift under plausible future climates, with summer outages becoming substantially more costly and winter outages becoming slightly less costly on a per-household, per-hour basis.

Suggested Citation

  • Jed Cohen & Klaus Moeltner & Johannes Reichl & Michael Schmidthaler, 2018. "Effect of global warming on willingness to pay for uninterrupted electricity supply in European nations," Nature Energy, Nature, vol. 3(1), pages 37-45, January.
    • Handle: RePEc:nat:natene:v:3:y:2018:i:1:d:10.1038_s41560-017-0045-4
    DOI: 10.1038/s41560-017-0045-4
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    Citations

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    Cited by:

    1. Gallaher, Adam & Graziano, Marcello & Fiaschetti, Maurizio, 2021. "Legacy and shockwaves: A spatial analysis of strengthening resilience of the power grid in Connecticut," Energy Policy, Elsevier, vol. 159(C).
    2. Kim, Mo Se & Lee, Byung Sung & Lee, Hye Seon & Lee, Seung Ho & Lee, Junseok & Kim, Wonse, 2020. "Robust estimation of outage costs in South Korea using a machine learning technique: Bayesian Tobit quantile regression," Applied Energy, Elsevier, vol. 278(C).
    3. Gurupraanesh Raman & Yang Yang & Jimmy Chih-Hsien Peng, 2024. "The social factors shaping community microgrid operation," Nature Communications, Nature, vol. 15(1), pages 1-8, December.
    4. Azarova, Valeriya & Cohen, Jed J. & Kollmann, Andrea & Reichl, Johannes, 2020. "Reducing household electricity consumption during evening peak demand times: Evidence from a field experiment," Energy Policy, Elsevier, vol. 144(C).
    5. Graziano, Marcello & Gunther, Peter & Gallaher, Adam & Carstensen, Fred V. & Becker, Brian, 2020. "The wider regional benefits of power grids improved resilience through tree-trimming operations evidences from Connecticut, USA," Energy Policy, Elsevier, vol. 138(C).
    6. Chen, Hao & Chen, Xi & Niu, Jinye & Xiang, Mengyu & He, Weijun & Küfeoğlu, Sinan, 2021. "Estimating the marginal cost of reducing power outage durations in China: A parametric distance function approach," Energy Policy, Elsevier, vol. 155(C).
    7. Merk, Christine & Rehdanz, Katrin & Schröder, Carsten, 2019. "How consumers trade off supply security and green electricity: Evidence from Germany and Great Britain," Energy Economics, Elsevier, vol. 84(S1).
    8. Jed J. Cohen & Johannes Reichl, 2022. "Comparing Internet and phone survey mode effects across countries and research contexts," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 66(1), pages 44-71, January.
    9. Jin, Taeyoung & Lee, Tae Eui & Kim, Dowon, 2024. "Valuing flexible resources in the Korean electricity market based on stated preference methods," Utilities Policy, Elsevier, vol. 88(C).
    10. Avraam, Charalampos & Ceferino, Luis & Dvorkin, Yury, 2023. "Operational and economy-wide impacts of compound cyber-attacks and extreme weather events on electric power networks," Applied Energy, Elsevier, vol. 349(C).
    11. Jin, Taeyoung & Lee, Tae Eui & Kim, Dowon, 2023. "Value of lost load estimation for the South Korea's manufacturing sector—finding the gap between the supply and demand side," Renewable and Sustainable Energy Reviews, Elsevier, vol. 187(C).

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