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The mass public’s science literacy and co-production during the COVID-19 pandemic: empirical evidence from 140 cities in China

Author

Listed:
  • Haibo Qin

    (Xinjiang University
    Xinjiang University)

  • Zhongxuan Xie

    (Guangdong Polytechnic Normal University)

  • Huping Shang

    (University of Science and Technology of China)

  • Yong Sun

    (Guangzhou University)

  • Xiaohui Yang

    (Xinjiang University)

  • Mengming Li

    (University of Florida Institute of Food and Agricultural Sciences)

Abstract

How to prevent and resolve COVID-19 pandemic and similar public health crisis is a significant research topic. Although research on science literacy has been involved in dealing with public health crisis, there is a lack of empirical tests between the mass public’s science literacy and co-production during COVID-19 pandemic. With the empirical evidence from 140 cities in China, the study finds that the public’s science literacy significantly promotes co-production in the battle against pandemic. Specifically, for every 1% increase in the mass public’s science literacy in the city, co-production increased by 14.2%. Meanwhile, regional education level and local government capacity can expand the positive role of the public’s science literacy on co-production to fight against COVID-19 pandemic. In addition, the performance of the public’s science literacy on co-production against pandemic shows heterogeneity at different stages of pandemic prevention, in different regions, and in cities of different scales. This study complemented the gaps in existing research on science literacy and co-production and empirically verified the potential positive role of the public’s science literacy in pandemic prevention and control. Furthermore, it provided new ideas for improving the effectiveness of public co-production in public health crisis governance.

Suggested Citation

  • Haibo Qin & Zhongxuan Xie & Huping Shang & Yong Sun & Xiaohui Yang & Mengming Li, 2024. "The mass public’s science literacy and co-production during the COVID-19 pandemic: empirical evidence from 140 cities in China," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.
  • Handle: RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-03304-x
    DOI: 10.1057/s41599-024-03304-x
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    1. Cristina Bicchieri & Enrique Fatas & Abraham Aldama & Andrés Casas & Ishwari Deshpande & Mariagiulia Lauro & Cristina Parilli & Max Spohn & Paula Pereira & Ruiling Wen, 2021. "In science we (should) trust: Expectations and compliance across nine countries during the COVID-19 pandemic," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-17, June.
    2. Timothy Besley & Torsten Persson, 2009. "The Origins of State Capacity: Property Rights, Taxation, and Politics," American Economic Review, American Economic Association, vol. 99(4), pages 1218-1244, September.
    3. Christoph von Hagke & Chloe Hill & Angela Hof & Thomas Rinder & Andreas Lang & Jan Christian Habel, 2022. "Learning from the COVID-19 Pandemic Crisis to Overcome the Global Environmental Crisis," Sustainability, MDPI, vol. 14(17), pages 1-8, August.
    4. Gagan Matta, 2020. "Science communication as a preventative tool in the COVID19 pandemic," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-14, December.
    5. Hoi-Wing Chan & Connie Pui-Yee Chiu & Shijiang Zuo & Xue Wang & Li Liu & Ying-yi Hong, 2021. "Not-so-straightforward links between believing in COVID-19-related conspiracy theories and engaging in disease-preventive behaviours," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-10, December.
    6. Li Huang & Oliver Zhen Li & Yang Yi, 2021. "Government disclosure in influencing people’s behaviors during a public health emergency," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-15, December.
    7. Yonghua Zou & Wanxia Zhao, 2022. "Neighbourhood governance during the COVID-19 lockdown in Hangzhou: coproduction based on digital technologies," Public Management Review, Taylor & Francis Journals, vol. 24(12), pages 1914-1932, December.
    8. Eric Merkley & Peter John Loewen, 2021. "Anti-intellectualism and the mass public’s response to the COVID-19 pandemic," Nature Human Behaviour, Nature, vol. 5(6), pages 706-715, June.
    9. Tony Bovaird & Ian Briggs & Martin Willis, 2014. "Strategic Commissioning in the UK: Service Improvement Cycle or Just Going Round in Circles?," Local Government Studies, Taylor & Francis Journals, vol. 40(4), pages 533-559, July.
    10. Dan M. Kahan & Hank Jenkins-Smith & Donald Braman, 2011. "Cultural cognition of scientific consensus," Journal of Risk Research, Taylor & Francis Journals, vol. 14(2), pages 147-174, February.
    11. Patrick Sturgis & Ian Brunton-Smith & Jonathan Jackson, 2021. "Trust in science, social consensus and vaccine confidence," Nature Human Behaviour, Nature, vol. 5(11), pages 1528-1534, November.
    12. Jeremy Ginsberg & Matthew H. Mohebbi & Rajan S. Patel & Lynnette Brammer & Mark S. Smolinski & Larry Brilliant, 2009. "Detecting influenza epidemics using search engine query data," Nature, Nature, vol. 457(7232), pages 1012-1014, February.
    13. Adam Brzezinski & Valentin Kecht & David Dijcke & Austin L. Wright, 2021. "Science skepticism reduced compliance with COVID-19 shelter-in-place policies in the United States," Nature Human Behaviour, Nature, vol. 5(11), pages 1519-1527, November.
    14. Bernadette Hyland-Wood & John Gardner & Julie Leask & Ullrich K. H. Ecker, 2021. "Toward effective government communication strategies in the era of COVID-19," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-11, December.
    15. Gregg G. Van Ryzin & Norma M. Riccucci & Huafang Li, 2017. "Representative bureaucracy and its symbolic effect on citizens: a conceptual replication," Public Management Review, Taylor & Francis Journals, vol. 19(9), pages 1365-1379, October.
    16. José M. Alonso & Rhys Andrews & Judith Clifton & Daniel Diaz-Fuentes, 2019. "Factors influencing citizens’ co-production of environmental outcomes: a multi-level analysis," Public Management Review, Taylor & Francis Journals, vol. 21(11), pages 1620-1645, November.
    17. Li Huang & Oliver Zhen Li & Baiqiang Wang & Zilong Zhang, 2022. "Individualism and the fight against COVID-19," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-20, December.
    18. W. H. Voorberg & V. J. J. M. Bekkers & L. G. Tummers, 2015. "A Systematic Review of Co-Creation and Co-Production: Embarking on the social innovation journey," Public Management Review, Taylor & Francis Journals, vol. 17(9), pages 1333-1357, October.
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