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Integrated framework for the external cost assessment of nuclear power plant accident considering risk aversion: The Korean case

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  • Lee, Sang Hun
  • Kang, Hyun Gook

Abstract

Recently, the estimation of accident costs within the social costs of nuclear power plants (NPPs) has garnered substantial interest. In particular, the risk aversion behavior of the public toward an NPP accident is considered an important factor when integrating risk aversion into NPP accident cost. In this study, an integrated framework for the external cost assessment of NPP accident that measures the value of statistical life (VSL) and the relative risk aversion (RRA) coefficient for NPP accident based on an individual-level survey is proposed. To derive the willingness to pay and the RRA coefficient for NPP accident risks, a survey was conducted on a sample of 1550 individuals in Korea. The estimation obtained a mean VSL of USD 2.78 million and an RRA coefficient of 1.315. Based on the estimation results in which various cost factors were considered, a multiplication factor of 5.16 and an external cost of NPP accidents of 4.39E−03 USD-cents/kWh were estimated. This study is expected to provide insight to energy policy decision-makers on analyzing the economic validity of NPP compared to other energy sources by reflecting the estimated external cost of NPP accident into the unit electricity generation cost of NPP.

Suggested Citation

  • Lee, Sang Hun & Kang, Hyun Gook, 2016. "Integrated framework for the external cost assessment of nuclear power plant accident considering risk aversion: The Korean case," Energy Policy, Elsevier, vol. 92(C), pages 111-123.
    • Handle: RePEc:eee:enepol:v:92:y:2016:i:c:p:111-123
    DOI: 10.1016/j.enpol.2016.01.035
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    2. Thomas Meissner & Xavier Gassmann & Corinne Faure & Joachim Schleich, 2023. "Individual characteristics associated with risk and time preferences: A multi country representative survey," Journal of Risk and Uncertainty, Springer, vol. 66(1), pages 77-107, February.
    3. Igor Kotenko & Konstantin Izrailov & Mikhail Buinevich & Igor Saenko & Rajeev Shorey, 2023. "Modeling the Development of Energy Network Software, Taking into Account the Detection and Elimination of Vulnerabilities," Energies, MDPI, vol. 16(13), pages 1-40, July.
    4. Geng, Liuna & Liu, Ting & Zhou, Kexin & Yang, Genmao, 2018. "Can power affect environmental risk attitude toward nuclear energy?," Energy Policy, Elsevier, vol. 113(C), pages 87-93.

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