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https://dx.doi.org/10.57760/sc...
Dataset . 2022
License: CC BY NC
Data sources: Datacite
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Exploring the role of cultural individualism and collectivism on public acceptance of nuclear energy

Authors: Dongqin Xia; Yazhou Li; Tingting Zhang; Yanling He; Yongliang Wang; Jibao Gu;

Exploring the role of cultural individualism and collectivism on public acceptance of nuclear energy

Abstract

Public acceptance (PA) is nowadays essential for the sustainable development of nuclear energy and becomes animportant issue for research community. Although some studies had investigated the factors influencing PA ofnuclear energy, few researches were founded to verify the impact of cultural values. This research proposed atheoretical model to explore how individualism and collectivism, as an important dimension of culture, moderated the relevance between perceived risk/benefit and PA. A questionnaire survey was conducted nationwidein China whose number of under-construction nuclear power plants ranks first in the world, and received 887valid responses. The analysis of moderating effect showed individualism weakened the relevance betweenperceived benefit and PA, whereas collectivism had no significant moderating role on the relevance betweenperceived benefit and PA. Collectivism strengthened the relevance between perceived risk and PA, whereasindividualism had no significant moderating role on the relevance between perceived risk and PA. Moreover,perceived benefit was confirmed to be a more important predictor for PA than perceived risk. The abovementioned findings could not only provide new insights that help to understand the difference in energy policiesbetween China and the developed countries, but also provide new reference and guidance for the future policymaking.

Public acceptance (PA) is nowadays essential for the sustainable development of nuclear energy and becomes animportant issue for research community. Although some studies had investigated the factors influencing PA ofnuclear energy, few researches were founded to verify the impact of cultural values. This research proposed atheoretical model to explore how individualism and collectivism, as an important dimension of culture, moderated the relevance between perceived risk/benefit and PA. A questionnaire survey was conducted nationwidein China whose number of under-construction nuclear power plants ranks first in the world, and received 887valid responses. The analysis of moderating effect showed individualism weakened the relevance betweenperceived benefit and PA, whereas collectivism had no significant moderating role on the relevance betweenperceived benefit and PA. Collectivism strengthened the relevance between perceived risk and PA, whereasindividualism had no significant moderating role on the relevance between perceived risk and PA. Moreover,perceived benefit was confirmed to be a more important predictor for PA than perceived risk. The abovementioned findings could not only provide new insights that help to understand the difference in energy policiesbetween China and the developed countries, but also provide new reference and guidance for the future policymaking.

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Keywords

FOS: Psychology, Nuclear science and technology, Culture, Psychology, Nuclear energy, Individualism/collectivism, Moderating effect, Public acceptance, Management

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average