IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i23p15648-d983495.html
   My bibliography  Save this article

Knowledge, Attitude, Risk Perception, and Health-Related Adaptive Behavior of Primary School Children towards Climate Change: A Cross-Sectional Study in China

Author

Listed:
  • Yu Wang

    (China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China)

  • Xinhang Zhang

    (Tongzhou Center for Disease Control and Prevention, Beijing 101199, China)

  • Yonghong Li

    (China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China)

  • Yanxiang Liu

    (Public Meteorological Service Center of China Meteorological Administration, Beijing 100081, China)

  • Bo Sun

    (China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China)

  • Yan Wang

    (China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China)

  • Zhirong Zhou

    (China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China)

  • Lei Zheng

    (China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China)

  • Linxin Zhang

    (China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China)

  • Xiaoyuan Yao

    (China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China)

  • Yibin Cheng

    (China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China)

Abstract

Background: Children are disproportionately affected by climate change while evidence regarding their adaptive behavior and relevant influencing factors is limited. Objectives: We attempted to investigate health-related adaptive behavior towards climate change for primary school children in China and explore potential influencing factors. Methods: We conducted a survey of 8322 primary school children in 12 cities across China. Knowledge, attitude, risk perception, and adaptive behavior scores for children were collected using a designed questionnaire. Weather exposures of cities were collected from 2014 to 2018. We applied a multiple linear regression and mixed-effect regression to assess the influencing factors of adaptive behavior. We also used the structural equation model (SEM) to validate the theoretical framework of adaptive behavior. Results: Most children (76.1%) were aware of climate change. They mainly get information from television, smartphones, and the Internet. A 1 score increase in knowledge, attitude, and risk perception was associated with 0.210, 0.386, and 0.160 increase in adaptive behavior scores, respectively. Females and children having air conditioners or heating systems at home were positively associated with adaptive behavior. Exposure to cold and rainstorms increased the adaptive behavior scores, while heat exposure had the opposite effects. The SEM showed that knowledge was positively associated with attitude and risk perception. Knowledge, attitude, and risk perception corresponded to 31.6%, 22.8%, and 26.1% changes of adaptive behavior, respectively. Conclusion: Most primary school children in China were aware of climate change. Knowledge, attitude, risk perception, cold, and rainstorm exposure were positively associated with health-related adaptive behavior towards climate change.

Suggested Citation

  • Yu Wang & Xinhang Zhang & Yonghong Li & Yanxiang Liu & Bo Sun & Yan Wang & Zhirong Zhou & Lei Zheng & Linxin Zhang & Xiaoyuan Yao & Yibin Cheng, 2022. "Knowledge, Attitude, Risk Perception, and Health-Related Adaptive Behavior of Primary School Children towards Climate Change: A Cross-Sectional Study in China," IJERPH, MDPI, vol. 19(23), pages 1-11, November.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:23:p:15648-:d:983495
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/23/15648/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/23/15648/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. David M. Konisky & Llewelyn Hughes & Charles H. Kaylor, 2016. "Extreme weather events and climate change concern," Climatic Change, Springer, vol. 134(4), pages 533-547, February.
    2. Jeremy Brooks & Douglas Oxley & Arnold Vedlitz & Sammy Zahran & Charles Lindsey, 2014. "Abnormal Daily Temperature and Concern about Climate Change Across the United States," Review of Policy Research, Policy Studies Organization, vol. 31(3), pages 199-217, May.
    3. Yingying Sun & Ziqiang Han, 2018. "Climate Change Risk Perception in Taiwan: Correlation with Individual and Societal Factors," IJERPH, MDPI, vol. 15(1), pages 1-12, January.
    4. David Konisky & Llewelyn Hughes & Charles Kaylor, 2016. "Extreme weather events and climate change concern," Climatic Change, Springer, vol. 134(4), pages 533-547, February.
    5. Tien Ming Lee & Ezra M. Markowitz & Peter D. Howe & Chia-Ying Ko & Anthony A. Leiserowitz, 2015. "Predictors of public climate change awareness and risk perception around the world," Nature Climate Change, Nature, vol. 5(11), pages 1014-1020, November.
    6. Rosseel, Yves, 2012. "lavaan: An R Package for Structural Equation Modeling," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i02).
    7. Derick A. Akompab & Peng Bi & Susan Williams & Janet Grant & Iain A. Walker & Martha Augoustinos, 2013. "Heat Waves and Climate Change: Applying the Health Belief Model to Identify Predictors of Risk Perception and Adaptive Behaviours in Adelaide, Australia," IJERPH, MDPI, vol. 10(6), pages 1-21, May.
    8. Zeileis, Achim, 2004. "Econometric Computing with HC and HAC Covariance Matrix Estimators," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 11(i10).
    9. Yonghong Li & Bo Sun & Changlin Yang & Xianghua Zhuang & Liancheng Huang & Qingqing Wang & Peng Bi & Yan Wang & Xiaoyuan Yao & Yibin Cheng, 2022. "Effectiveness Evaluation of a Primary School-Based Intervention against Heatwaves in China," IJERPH, MDPI, vol. 19(5), pages 1-13, February.
    10. Nick Pidgeon, 2012. "Public understanding of, and attitudes to, climate change: UK and international perspectives and policy," Climate Policy, Taylor & Francis Journals, vol. 12(sup01), pages 85-106, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Uji, Azusa & Song, Jaehyun & Dolšak, Nives & Prakash, Aseem, 2024. "Willingness to incur private costs for climate adaptation? Public support for undergrounding electricity transmission lines in California," Energy Policy, Elsevier, vol. 191(C).
    2. Mason, Charles F. & Wilmot, Neil A., 2024. "On climate fat tails and politics," Resources Policy, Elsevier, vol. 92(C).
    3. Guglielmo Zappalà, 2023. "Drought Exposure and Accuracy: Motivated Reasoning in Climate Change Beliefs," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 85(3), pages 649-672, August.
    4. Donatella Baiardi, 2021. "What do you think about climate change?," Working Papers 477, University of Milano-Bicocca, Department of Economics, revised Aug 2021.
    5. Brown, Pike & Walsh, Patrick & Booth, Pam, 2020. "Environmental signalling & expectations of future drought: Evidence from panel data," 2020 Conference (64th), February 12-14, 2020, Perth, Western Australia 305239, Australian Agricultural and Resource Economics Society.
    6. Guglielmo Zappalà, 2022. "Drought exposure and accuracy: Motivated reasoning in climate change beliefs," Working Papers 2022.02, FAERE - French Association of Environmental and Resource Economists.
    7. Amanda Kennard, 2021. "My Brother’s Keeper: Other-regarding preferences and concern for global climate change," The Review of International Organizations, Springer, vol. 16(2), pages 345-376, April.
    8. Christopher Crellin & Robert MacNeil, 2023. "Extreme weather events and public attention to climate change in Australia," Climatic Change, Springer, vol. 176(9), pages 1-7, September.
    9. P. Stahlmann-Brown & P. Walsh, 2022. "Soil moisture and expectations regarding future climate: evidence from panel data," Climatic Change, Springer, vol. 171(1), pages 1-20, March.
    10. Stephanie Shepard & Hilary Boudet & Chad M. Zanocco & Lori A. Cramer & Bryan Tilt, 2018. "Community climate change beliefs, awareness, and actions in the wake of the September 2013 flooding in Boulder County, Colorado," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 8(3), pages 312-325, September.
    11. Lea Gärtner & Harald Schoen, 2021. "Experiencing climate change: revisiting the role of local weather in affecting climate change awareness and related policy preferences," Climatic Change, Springer, vol. 167(3), pages 1-20, August.
    12. Donatella Baiardi, 2021. "What do you think about climate change?," Working Paper series 21-16, Rimini Centre for Economic Analysis.
    13. Jaime Madrigano & Kathryn Lane & Nada Petrovic & Munerah Ahmed & Micheline Blum & Thomas Matte, 2018. "Awareness, Risk Perception, and Protective Behaviors for Extreme Heat and Climate Change in New York City," IJERPH, MDPI, vol. 15(7), pages 1-11, July.
    14. Sansi Yang & Le Yu & Ganxiao Leng & Huanguang Qiu, 2021. "Livestock farmers’ perception and adaptation to climate change: panel evidence from pastoral areas in China," Climatic Change, Springer, vol. 164(1), pages 1-24, January.
    15. Chad Zanocco & Hilary Boudet & Roberta Nilson & Hannah Satein & Hannah Whitley & June Flora, 2018. "Place, proximity, and perceived harm: extreme weather events and views about climate change," Climatic Change, Springer, vol. 149(3), pages 349-365, August.
    16. Joseph P. Reser & Graham L. Bradley, 2020. "The nature, significance, and influence of perceived personal experience of climate change," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 11(5), September.
    17. Jeremiah Bohr, 2017. "Is it hot in here or is it just me? Temperature anomalies and political polarization over global warming in the American public," Climatic Change, Springer, vol. 142(1), pages 271-285, May.
    18. Best, Rohan & Burke, Paul J., 2018. "Adoption of solar and wind energy: The roles of carbon pricing and aggregate policy support," Energy Policy, Elsevier, vol. 118(C), pages 404-417.
    19. Dai, Zhifeng & Hu, Juan & Liu, Xinheng & Yang, Mi, 2024. "ynamic time-domain and frequency-domain spillovers and portfolio strategies between climate change attention and energy-relevant markets," Energy Economics, Elsevier, vol. 134(C).
    20. Alan E. Stewart & Harrison E. Chapman & Jackson B. L. Davis, 2023. "Anxiety and Worry about Six Categories of Climate Change Impacts," IJERPH, MDPI, vol. 21(1), pages 1-24, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:23:p:15648-:d:983495. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.