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Analysis of values-beliefs-norms of decommissioned nuclear power plant reestablishment acceptance in developing countries: a perspective from the Philippines

  • Leo Miguel V. Tolentino (School of Industrial Engineering and Engineering Management, Mapua University) ;
  • Ardvin Kester S. Ong (School of Industrial Engineering and Engineering Management, Mapua University) ;
  • Josephine D. German (School of Industrial Engineering and Engineering Management, Mapua University)
  • Received : 2024.02.11
  • Accepted : 2024.03.17
  • Published : 2024.08.25

Abstract

Amid the ongoing discourse on clean energy solutions, the reopening of decommissioned plants, such as the Bataan Nuclear Power Plant (BNPP) in the Philippines has become a focal point in the country. This study delved into the complex web of factors influencing public acceptance of BNPP, employing the values-beliefs-norms theory. By utilizing partial-least square structural equation modeling, the research unravelled the intricate relationships among biospheric values, altruistic values, egoistic values, ecological worldview, awareness of consequences, personal norm, social norm, and the broader acceptance of BNPP establishment. With 434 respondents participating in a self-administered online survey, the study identified key correlations. Emphasizing the collaborative impact on decision-making processes by social and personal norms, the study also highlighted the role of ecological values in shaping awareness. The foundational impact of values on ecological worldviews was explored, shedding light on public attitudes toward nuclear energy. This research offers actionable insights for policymakers, advocating for targeted communication strategies and public engagement initiatives to navigate barriers and promote informed decision-making in the dynamic landscape of nuclear energy development. The study contributes to the global conversation on sustainable energy strategies, emphasizing the pivotal role of public perception in shaping the trajectory of nuclear power.

Keywords

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