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The private and external costs of Germany’s nuclear phase-out

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  • Jarvis, Stephen
  • Deschenes, Olivier
  • Jha, Akshaya

Abstract

Many countries have phased out nuclear power in response to concerns about nuclear waste and the risk of nuclear accidents. This paper examines the shutdown of more than half of the nuclear production capacity in Germany after the Fukushima accident in 2011. We use hourly data on power plant operations and a machine learning approach to estimate the impacts of the phase-out policy. We find that reductions in nuclear electricity production were offset primarily by increases in coal-fired production and net electricity imports. Our estimates of the social cost of the phase-out range from €3 to €8 billion per year. The majority of this cost comes from the increased mortality risk associated with exposure to the local air pollution emitted when burning fossil fuels. Policymakers would have to significantly overestimate the risk or cost of a nuclear accident to conclude that the benefits of the phase-out exceed its social costs. We discuss the likely role of behavioral biases in this setting, and highlight the importance of ensuring that policymakers and the public are informed about the health effects of local air pollution.

Suggested Citation

  • Jarvis, Stephen & Deschenes, Olivier & Jha, Akshaya, 2022. "The private and external costs of Germany’s nuclear phase-out," LSE Research Online Documents on Economics 113634, London School of Economics and Political Science, LSE Library.
  • Handle: RePEc:ehl:lserod:113634
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    File URL: http://eprints.lse.ac.uk/113634/
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    References listed on IDEAS

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    Cited by:

    1. Olivier Deschenes, 2022. "The impact of climate change on mortality in the United States: Benefits and costs of adaptation," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 55(3), pages 1227-1249, August.
    2. Hossam A. Gabbar & Muhammad R. Abdussami & Md. Ibrahim Adham, 2020. "Micro Nuclear Reactors: Potential Replacements for Diesel Gensets within Micro Energy Grids," Energies, MDPI, vol. 13(19), pages 1-38, October.
    3. Asuega, Anthony & Limb, Braden J. & Quinn, Jason C., 2023. "Techno-economic analysis of advanced small modular nuclear reactors," Applied Energy, Elsevier, vol. 334(C).
    4. Utku Kale & István Jankovics & András Nagy & Dániel Rohács, 2021. "Towards Sustainability in Air Traffic Management," Sustainability, MDPI, vol. 13(10), pages 1-17, May.
    5. De Groote, Olivier & Gautier, Axel & Verboven, Frank, 2024. "The political economy of financing climate policy — Evidence from the solar PV subsidy programs," Resource and Energy Economics, Elsevier, vol. 77(C).
    6. Neidell, Matthew & Uchida, Shinsuke & Veronesi, Marcella, 2021. "The unintended effects from halting nuclear power production: Evidence from Fukushima Daiichi accident," Journal of Health Economics, Elsevier, vol. 79(C).
    7. Mier, Mathias & Adelowo, Jacqueline & Weissbart, Christoph, 2024. "Complementary taxation of carbon emissions and local air pollution," Energy Economics, Elsevier, vol. 132(C).
    8. Diego Rodríguez Rodríguez, 2020. "Una valoración del Plan Nacional Integrado de Energía y Clima," Studies on the Spanish Economy eee2020-09, FEDEA.
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    10. Augusto Cerqua & Marco Letta & Gabriele Pinto, 2024. "On the (Mis)Use of Machine Learning with Panel Data," Papers 2411.09218, arXiv.org.

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    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling

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