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The social acceptance of nuclear fusion for decision making towards carbon free circular economy: Evidence from Czech Republic

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  • Čábelková, Inna
  • Strielkowski, Wadim
  • Streimikiene, Dalia
  • Cavallaro, Fausto
  • Streimikis, Justas

Abstract

The social awareness and acceptance of new energy technologies are the key factors of their commercialization in Europe. The decision making in energy sector also requires integration of social preferences. In the context implementation of circular economy and moving towards carbon free economy target in 2050, all carbon free technologies require attention of decision makers including new nuclear technologies. The cutting-edge technologies, such as big data, have the potential to leverage the adoption of circular and carbon free economy concepts by the society. Therefore, the big data can play a major role in terms of acting as a facilitator for gaining the desired information for decision making in energy sector. In this paper, the big data was used for assessment of social acceptance of nuclear fusion. The diverse and representative sample from the Czech Republic (N = 1026, aged 15–95 years, 48.80% women, 18.50% with higher education) was employed to show the dynamics of the formation of public support in a country effectively unaware of the nuclear fusion (NF) (the total pre-survey awareness was 16.6%). The analysis of presentation on NF in Czech mass media concluded that similarly to other European Union countries, the presentation fragmented, insufficient, technical, aimed at people interested in technology with effectively no public discussion on the topic. When briefed with pros and cons of NF, three quarters of the respondents developed an idea on their support of NF in general and in Europe with the level of support reaching one third of the sample. We analyze the relation of NF support using a set of ordinal multinomial regression analyses with spline corrections of ordinal predictors to the four groups of factors: self-claimed awareness and knowledge of NF, sources of information including education, pros and cons of NF, and psychological and value aspects. We show that more information on NF positively influenced the support. Internet news were (negatively) and printed newspapers and magazines were (positively) related to support. The NF being and unlimited source of energy (positively) and using radioactive material and competing for renewables money (negatively) were related to support. Our findings have clear implications for public engagement and communication efforts on NF projects. We suggest that in order to change the level of acceptance for NF more communication and media presentation is needed. We present the ideas on how to frame the communication. Our results are in accord with similar studies from other European countries and therefore our outcomes might find practical applicability there.

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  • Čábelková, Inna & Strielkowski, Wadim & Streimikiene, Dalia & Cavallaro, Fausto & Streimikis, Justas, 2021. "The social acceptance of nuclear fusion for decision making towards carbon free circular economy: Evidence from Czech Republic," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
  • Handle: RePEc:eee:tefoso:v:163:y:2021:i:c:s0040162520313032
    DOI: 10.1016/j.techfore.2020.120477
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    References listed on IDEAS

    as
    1. George Gaskell & Nick Allum & Wolfgang Wagner & Nicole Kronberger & Helge Torgersen & Juergen Hampel & Julie Bardes, 2004. "GM Foods and the Misperception of Risk Perception," Risk Analysis, John Wiley & Sons, vol. 24(1), pages 185-194, February.
    2. Clarke, Christopher E. & Hart, Philip S. & Schuldt, Jonathon P. & Evensen, Darrick T.N. & Boudet, Hilary S. & Jacquet, Jeffrey B. & Stedman, Richard C., 2015. "Public opinion on energy development: The interplay of issue framing, top-of-mind associations, and political ideology," Energy Policy, Elsevier, vol. 81(C), pages 131-140.
    3. Saghafi, Fatemeh & Noorzad Moghaddam, Ehsan & Aslani, Alireza, 2017. "Examining effective factors in initial acceptance of high-tech localized technologies: Xamin, Iranian localized operating system," Technological Forecasting and Social Change, Elsevier, vol. 122(C), pages 275-288.
    4. Kerr, Clive & Phaal, Robert, 2020. "Technology roadmapping: Industrial roots, forgotten history and unknown origins," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    5. Ribeiro, Fernando & Ferreira, Paula & Araújo, Madalena & Braga, Ana Cristina, 2014. "Public opinion on renewable energy technologies in Portugal," Energy, Elsevier, vol. 69(C), pages 39-50.
    6. Yoon, Byungun & Magee, Christopher L., 2018. "Exploring technology opportunities by visualizing patent information based on generative topographic mapping and link prediction," Technological Forecasting and Social Change, Elsevier, vol. 132(C), pages 105-117.
    7. Christian Oltra & Rosario Solá, 2008. "Lay perceptions of nuclear fusion: multiple modes of understanding," Science and Public Policy, Oxford University Press, vol. 35(2), pages 95-105, March.
    8. Ferenc L. Toth, 2008. "Prospects for nuclear power in the 21st century: a world tour," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 30(1/2/3/4), pages 3-27.
    9. Kim, Younghwan & Kim, Minki & Kim, Wonjoon, 2013. "Effect of the Fukushima nuclear disaster on global public acceptance of nuclear energy," Energy Policy, Elsevier, vol. 61(C), pages 822-828.
    10. Zhou, Kaile & Fu, Chao & Yang, Shanlin, 2016. "Big data driven smart energy management: From big data to big insights," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 215-225.
    11. Mi, Xiaomei & Tang, Ming & Liao, Huchang & Shen, Wenjing & Lev, Benjamin, 2019. "The state-of-the-art survey on integrations and applications of the best worst method in decision making: Why, what, what for and what's next?," Omega, Elsevier, vol. 87(C), pages 205-225.
    12. Wustenhagen, Rolf & Wolsink, Maarten & Burer, Mary Jean, 2007. "Social acceptance of renewable energy innovation: An introduction to the concept," Energy Policy, Elsevier, vol. 35(5), pages 2683-2691, May.
    13. Entler, Slavomir & Horacek, Jan & Dlouhy, Tomas & Dostal, Vaclav, 2018. "Approximation of the economy of fusion energy," Energy, Elsevier, vol. 152(C), pages 489-497.
    14. Schweizer-Ries, Petra, 2008. "Energy sustainable communities: Environmental psychological investigations," Energy Policy, Elsevier, vol. 36(11), pages 4126-4135, November.
    15. Truelove, Heather Barnes, 2012. "Energy source perceptions and policy support: Image associations, emotional evaluations, and cognitive beliefs," Energy Policy, Elsevier, vol. 45(C), pages 478-489.
    16. Carmen Keller & Vivianne Visschers & Michael Siegrist, 2012. "Affective Imagery and Acceptance of Replacing Nuclear Power Plants," Risk Analysis, John Wiley & Sons, vol. 32(3), pages 464-477, March.
    Full references (including those not matched with items on IDEAS)

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    1. Chauhan, Chetna & Parida, Vinit & Dhir, Amandeep, 2022. "Linking circular economy and digitalisation technologies: A systematic literature review of past achievements and future promises," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    2. Wadim Strielkowski & Lubomír Civín & Elena Tarkhanova & Manuela Tvaronavičienė & Yelena Petrenko, 2021. "Renewable Energy in the Sustainable Development of Electrical Power Sector: A Review," Energies, MDPI, vol. 14(24), pages 1-24, December.
    3. Daniela Šálková & Aleš Hes & Petr Kučera, 2023. "Sustainable Consumer Behavior: The Driving Force of Innovation in Retail," Sustainability, MDPI, vol. 15(24), pages 1-26, December.

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