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A large national survey of public perceptions of CCS technology in China


  • Chen, Zheng-Ao
  • Li, Qi
  • Liu, Lan-Cui
  • Zhang, Xian
  • Kuang, Liping
  • Jia, Li
  • Liu, Guizhen


The success of a new technology (like carbon capture and storage (CCS)) not only depends on sound technical and engineering practice but also involves societal, political and economic factors. High public acceptance is viewed as one of the critical factors. To date, there has been little systematic research into public communication and engagement in regard to CCS in China. A national survey on public perception (but biased towards the views of the educated elite of the Chinese population) of CCS technology was conducted from July 2013 to December 2013. The objectives of the survey were to assess the following issues: public understanding of the climate sciences, society’s knowledge and acceptance of low emission technologies (especially of CCS technology), public interests and concerns about the positive and negative impacts of CCS technology, and public attitudes towards CCS policies supported by the government. Finally, high-level suggestions for mechanisms to raise public understanding and frame the social acceptance on CCS technology in China are proposed based on a SWOT analysis.

Suggested Citation

  • Chen, Zheng-Ao & Li, Qi & Liu, Lan-Cui & Zhang, Xian & Kuang, Liping & Jia, Li & Liu, Guizhen, 2015. "A large national survey of public perceptions of CCS technology in China," Applied Energy, Elsevier, vol. 158(C), pages 366-377.
  • Handle: RePEc:eee:appene:v:158:y:2015:i:c:p:366-377
    DOI: 10.1016/j.apenergy.2015.08.046

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    References listed on IDEAS

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    1. Peter Viebahn & Emile J. L. Chappin, 2018. "Scrutinising the Gap between the Expected and Actual Deployment of Carbon Capture and Storage—A Bibliometric Analysis," Energies, MDPI, Open Access Journal, vol. 11(9), pages 1-45, September.
    2. Qin, Changlei & Yin, Junjun & Feng, Bo & Ran, Jingyu & Zhang, Li & Manovic, Vasilije, 2016. "Modelling of the calcination behaviour of a uniformly-distributed CuO/CaCO3 particle in Ca–Cu chemical looping," Applied Energy, Elsevier, vol. 164(C), pages 400-410.
    3. Errico, Massimiliano & Madeddu, Claudio & Pinna, Daniele & Baratti, Roberto, 2016. "Model calibration for the carbon dioxide-amine absorption system," Applied Energy, Elsevier, vol. 183(C), pages 958-968.
    4. Sinha, Rakesh Kumar & Chaturvedi, Nitin Dutt, 2019. "A review on carbon emission reduction in industries and planning emission limits," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
    5. Thushara, De Silva M. & Hornberger, George M. & Baroud, Hiba, 2019. "Decision analysis to support the choice of a future power generation pathway for Sri Lanka," Applied Energy, Elsevier, vol. 240(C), pages 680-697.
    6. d'Amore, Federico & Mocellin, Paolo & Vianello, Chiara & Maschio, Giuseppe & Bezzo, Fabrizio, 2018. "Economic optimisation of European supply chains for CO2 capture, transport and sequestration, including societal risk analysis and risk mitigation measures," Applied Energy, Elsevier, vol. 223(C), pages 401-415.
    7. Yang, Lin & Zhang, Xian & McAlinden, Karl J., 2016. "The effect of trust on people's acceptance of CCS (carbon capture and storage) technologies: Evidence from a survey in the People's Republic of China," Energy, Elsevier, vol. 96(C), pages 69-79.
    8. Tapia, John Frederick D. & Lee, Jui-Yuan & Ooi, Raymond E.H. & Foo, Dominic C.Y. & Tan, Raymond R., 2016. "Optimal CO2 allocation and scheduling in enhanced oil recovery (EOR) operations," Applied Energy, Elsevier, vol. 184(C), pages 337-345.
    9. Bing Bai & Xiaochun Li & Haiqing Wu & Yongsheng Wang & Mingze Liu, 2017. "A methodology for designing maximum allowable wellhead pressure for CO 2 injection: application to the Shenhua CCS demonstration project, China," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 7(1), pages 158-181, February.
    10. Alexey Cherepovitsyn & Sergey Fedoseev & Pavel Tcvetkov & Ksenia Sidorova & Andrzej Kraslawski, 2018. "Potential of Russian Regions to Implement CO 2 -Enhanced Oil Recovery," Energies, MDPI, Open Access Journal, vol. 11(6), pages 1-22, June.
    11. Li, Mingquan & Patiño-Echeverri, Dalia, 2017. "Estimating benefits and costs of policies proposed in the 13th FYP to improve energy efficiency and reduce air emissions of China's electric power sector," Energy Policy, Elsevier, vol. 111(C), pages 222-234.


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