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Anti-nuclear behavioral intentions: The role of perceived knowledge, information processing, and risk perception

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  • Zhu, Weiwei
  • Wei, Jiuchang
  • Zhao, Dingtao

Abstract

This study explored the key factors underlying people's anti-nuclear behavioral intentions. The protective action decision model and the heuristic–systematic model were integrated and adapted from a risk information perspective to construct a hypothetical model. A questionnaire study was conducted on a sample of residents near the Haiyang Nuclear Power Plant, which is under construction in Shandong Province, China (N=487). Results show that, as expected, perceived knowledge is vital in predicting people's information insufficiency, information seeking, systematic processing, and risk perception. Moreover, the inverted U relationship between perceived knowledge and anti-nuclear behavioral intentions is indicated in the study. Information insufficiency and information seeking also significantly predict systematic processing. Furthermore, people's behavioral intentions are motivated by risk perception but fail to be stimulated by systematic processing. Implications and recommendations for future research are discussed.

Suggested Citation

  • Zhu, Weiwei & Wei, Jiuchang & Zhao, Dingtao, 2016. "Anti-nuclear behavioral intentions: The role of perceived knowledge, information processing, and risk perception," Energy Policy, Elsevier, vol. 88(C), pages 168-177.
  • Handle: RePEc:eee:enepol:v:88:y:2016:i:c:p:168-177
    DOI: 10.1016/j.enpol.2015.10.009
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    1. Ellen Ter Huurne & Jan Gutteling, 2008. "Information needs and risk perception as predictors of risk information seeking," Journal of Risk Research, Taylor & Francis Journals, vol. 11(7), pages 847-862, October.
    2. Sun, Chuanwang & Zhu, Xiting, 2014. "Evaluating the public perceptions of nuclear power in China: Evidence from a contingent valuation survey," Energy Policy, Elsevier, vol. 69(C), pages 397-405.
    3. Andrew Weyman & Nicholas Pidgeon & John Walls & Tom Horlick‐Jones, 2006. "Exploring Comparative Ratings and Constituent Facets of Public Trust in Risk Regulatory Bodies and Related Stakeholder Groups," Journal of Risk Research, Taylor & Francis Journals, vol. 9(6), pages 605-622.
    4. Aaker, Jennifer L & Maheswaran, Durairaj, 1997. "The Effect of Cultural Orientation on Persuasion," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 24(3), pages 315-328, December.
    5. Simonson, Itamar & Huber, Joel & Payne, John, 1988. "The Relationship between Prior Brand Knowledge and Information Acquisition Order," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 14(4), pages 566-578, March.
    6. Brucks, Merrie, 1985. "The Effects of Product Class Knowledge on Information Search Behavior," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 12(1), pages 1-16, June.
    7. Craig W. Trumbo & Katherine A. McComas, 2003. "The Function of Credibility in Information Processing for Risk Perception," Risk Analysis, John Wiley & Sons, vol. 23(2), pages 343-353, April.
    8. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    9. Park, C Whan & Mothersbaugh, David L & Feick, Lawrence, 1994. "Consumer Knowledge Assessment," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 21(1), pages 71-82, June.
    10. Johnson, Eric J & Russo, J Edward, 1984. "Product Familiarity and Learning New Information," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 11(1), pages 542-550, June.
    11. Visschers, Vivianne H.M. & Keller, Carmen & Siegrist, Michael, 2011. "Climate change benefits and energy supply benefits as determinants of acceptance of nuclear power stations: Investigating an explanatory model," Energy Policy, Elsevier, vol. 39(6), pages 3621-3629, June.
    12. Mah, Daphne Ngar-yin & Hills, Peter & Tao, Julia, 2014. "Risk perception, trust and public engagement in nuclear decision-making in Hong Kong," Energy Policy, Elsevier, vol. 73(C), pages 368-390.
    13. Schuitema, Geertje & Anable, Jillian & Skippon, Stephen & Kinnear, Neale, 2013. "The role of instrumental, hedonic and symbolic attributes in the intention to adopt electric vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 48(C), pages 39-49.
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