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An evolutionary game theory analysis on the environmental impact of discharging Fukushima’s nuclear wastewater: International stakeholders and strategic dynamics

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  • Mingyang Li
  • Han Pengsihua
  • Songqing Zhao
  • Zejun Wang
  • Limin Yang
  • Tongjing Liu

Abstract

On August 24, 2023, Japan controversially decided to discharge nuclear wastewater from the Fukushima Daiichi Nuclear Power Plant into the ocean, initiating intense domestic and global debates. This study employs a mixed-method approach, integrating quantitative evolutionary game theory and qualitative data analysis to explore the strategic dynamics among Japan, other nations, and the Japan Fisheries Association regarding this decision. The data includes international environmental reports and economic statistics, served as the basis for simulating decision-making processes under various legal, economic, and environmental pressures. The evolutionary game theory model is used to predict and analyze three evolutionarily stable strategies (ESS), detailing the transition from the initiation to cessation of wastewater discharge. These strategies highlight the necessity for international cooperation, rigorous scientific research, public education, and effective wastewater treatment methods. This study aims to provide both a theoretical framework and practical guidance to foster a global consensus on nuclear wastewater management, which is vital for marine conservation and sustainable development.

Suggested Citation

  • Mingyang Li & Han Pengsihua & Songqing Zhao & Zejun Wang & Limin Yang & Tongjing Liu, 2025. "An evolutionary game theory analysis on the environmental impact of discharging Fukushima’s nuclear wastewater: International stakeholders and strategic dynamics," PLOS ONE, Public Library of Science, vol. 20(1), pages 1-29, January.
    • Handle: RePEc:plo:pone00:0317419
    DOI: 10.1371/journal.pone.0317419
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    References listed on IDEAS

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    1. Zheng, Shan & Yu, Lianghong, 2022. "The government's subsidy strategy of carbon-sink fishery based on evolutionary game," Energy, Elsevier, vol. 254(PB).
    2. Jiankun Gong & Amira Firdaus & Yating Yu & Iffat Ali Aksar, 2024. "English-language news representations of the Fukushima nuclear-treated-water discharge at the initial phase in Japan and neighbouring countries," Journal of Risk Research, Taylor & Francis Journals, vol. 27(7), pages 827-839, July.
    3. Wang, Qiang & He, Nanrong & Chen, Xiaojie, 2018. "Replicator dynamics for public goods game with resource allocation in large populations," Applied Mathematics and Computation, Elsevier, vol. 328(C), pages 162-170.
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