The Impact of Psychological Distance on Judging Satisfaction with Nuclear Energy Policy via Knowledge Calibration and an Integrated Causal Path Model

Kim, Byoung Joon; Kim, Seoyong

doi:10.3390/en14185774

Cited by 3 publications

(1 citation statement)

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“…Two situations were reflected: the first one was that people are spatially and socially distanced from nuclear power plants, although they currently agree with the advantages of nuclear power, once nuclear facilities are built around them, they will consider whether the values generated by these positive impressions can offset the upcoming risks [61]; The second one was that they paid little attention to such positive news but showed great support because high consciousness made them support nuclear development as a national policy [62].…”

Section: Discussionmentioning

confidence: 99%

How Social Impressions Affect Public Acceptance of Nuclear Energy: A Case Study in China

et al. 2022

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Expanding the proportion of nuclear energy to shift the current energy structure and reduce carbon emission has been acknowledged by the China National Energy Administration. As a typical NIMBY facility, nuclear power plants are faced with a dilemma. Increasing the public acceptance of nuclear power is important for its development. Although multiple studies have shown the factors affecting the public acceptance, few of them focused on the effects of social impression brought about by nuclear power on public attitudes. In this study, a theoretical model was established to examine the impact of social impression (including impression management and stigmatization), knowledge, social trust, perceived risk, and perceived benefit on the public acceptance of nuclear energy. The data in this study were obtained through a questionnaire survey (N = 577) of residents near the Fangchenggang Nuclear Power Plant in China. The results showed that impression management did not directly affect the acceptance but had a positive effect on knowledge. Knowledge and perceived risk or perceived benefit play roles as chain intermediaries between impression management and public acceptance. Stigmatization negatively affects the social trust and public acceptance of nuclear energy. Social trust and perceived risk or perceived benefit act as chain intermediaries between stigmatization and public acceptance. The path “impression management affects knowledge, and knowledge affects perceived risk, then perceived risk finally affects public acceptance” is optimal among all the paths. Moreover, knowledge has no significant effect on public acceptance but negatively affects perceived risk. Social trust positively affects perceived benefit and public acceptance. It is also indicated that perceived benefit has a stronger effect on public acceptance than perceived risk. The findings in this study could inform the government regarding potential social management and recommendations on policy making.

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Section: Discussionmentioning

confidence: 99%

How Social Impressions Affect Public Acceptance of Nuclear Energy: A Case Study in China

et al. 2022

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Study on Public Acceptance of Restart of Inland Nuclear Power Plants Based on TAM/TPB Integration Model

Chen

2023

Springer Proceedings in Physics

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Unraveling the Nuclear Debate: Insights Through Clustering of Tweets

Katalinić,

Dunđer,

Seljan

2024

Electronics

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The perception of nuclear power, while central to energy policy and sustainability endeavors, remains a subject of considerable debate, in which some claim that the expansion of nuclear technology poses threats to global security, while others argue that its access should be shared for development and energy purposes. In this study, a total of 11,256 tweets were gathered over a three-month period using a keyword-based approach through the Twitter Standard Search API, focusing on terms related to nuclear energy. The k-means clustering algorithm was employed to analyze tweets with the aim of determining the underlying sentiments and perspectives within the public domain, while t-SNE was used for visualizing cluster separation. The results show distinct clusters reflecting various viewpoints on nuclear power, with 71.94% of tweets being neutral, 14.64% supportive, and 13.42% negative. This study also identifies a subset of users who appear to be seeking unbiased information, signaling an opportunity for educational outreach. By leveraging the immediacy and pervasiveness of X (formerly known as Twitter), this research provides a timely snapshot of the prevailing attitudes toward nuclear power and offers insights for policymakers, educators, and industry stakeholders.

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The Impact of Psychological Distance on Judging Satisfaction with Nuclear Energy Policy via Knowledge Calibration and an Integrated Causal Path Model

Cited by 3 publications

References 43 publications

How Social Impressions Affect Public Acceptance of Nuclear Energy: A Case Study in China

How Social Impressions Affect Public Acceptance of Nuclear Energy: A Case Study in China

Study on Public Acceptance of Restart of Inland Nuclear Power Plants Based on TAM/TPB Integration Model

Unraveling the Nuclear Debate: Insights Through Clustering of Tweets

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