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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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    1. Thure Traber & Claudia Kemfert, 2012. "German Nuclear Phase-out Policy: Effects on European Electricity Wholesale Prices, Emission Prices, Conventional Power Plant Investments and Eletricity Trade," Discussion Papers of DIW Berlin 1219, DIW Berlin, German Institute for Economic Research.
    2. Olivier Deschênes & Michael Greenstone & Joseph S. Shapiro, 2017. "Defensive Investments and the Demand for Air Quality: Evidence from the NOx Budget Program," American Economic Review, American Economic Association, vol. 107(10), pages 2958-2989, October.
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    5. Jan Goebel & Christian Krekel & Tim Tiefenbach & Nicolas Ziebarth, 2015. "How natural disasters can affect environmental concerns, risk aversion, and even politics: evidence from Fukushima and three European countries," Journal of Population Economics, Springer;European Society for Population Economics, vol. 28(4), pages 1137-1180, October.
    6. O'Neill, E. & Weeks, M., 2018. "Causal Tree Estimation of Heterogeneous Household Response to Time-Of-Use Electricity Pricing Schemes," Cambridge Working Papers in Economics 1865, Faculty of Economics, University of Cambridge.
    7. Tanaka, Shinsuke & Zabel, Jeffrey, 2018. "Valuing nuclear energy risk: Evidence from the impact of the Fukushima crisis on U.S. house prices," Journal of Environmental Economics and Management, Elsevier, vol. 88(C), pages 411-426.
    8. Eoghan O'Neill & Melvyn Weeks, 2018. "Causal Tree Estimation of Heterogeneous Household Response to Time-Of-Use Electricity Pricing Schemes," Papers 1810.09179, arXiv.org, revised Oct 2019.
    9. Nicholas C. Barberis, 2013. "Thirty Years of Prospect Theory in Economics: A Review and Assessment," Journal of Economic Perspectives, American Economic Association, vol. 27(1), pages 173-196, Winter.
    10. Spencer Wheatley & Benjamin Sovacool & Didier Sornette, 2017. "Of Disasters and Dragon Kings: A Statistical Analysis of Nuclear Power Incidents and Accidents," Risk Analysis, John Wiley & Sons, vol. 37(1), pages 99-115, January.
    11. repec:dau:papers:123456789/10019 is not listed on IDEAS
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    Cited by:

    1. Asuega, Anthony & Limb, Braden J. & Quinn, Jason C., 2023. "Techno-economic analysis of advanced small modular nuclear reactors," Applied Energy, Elsevier, vol. 334(C).
    2. 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).
    3. Mier, Mathias & Adelowo, Jacqueline & Weissbart, Christoph, 2024. "Complementary taxation of carbon emissions and local air pollution," Energy Economics, Elsevier, vol. 132(C).
    4. repec:ags:aaea22:335434 is not listed on IDEAS
    5. 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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    More about this item

    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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