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Development and Validation of the Haze Risk Perception Scale and Influencing Factor Scale—A Study Based on College Students in Beijing

Author

Listed:
  • Yongbao Zhang

    (School of Management, Lanzhou University, Lanzhou 730000, China)

  • Jianwu Chen

    (Institute of Occupational Health, Chinese Academy of Safety Science and Technology, Beijing 100012, China)

  • Xingfei Wei

    (School of Management, Lanzhou University, Lanzhou 730000, China)

  • Xiang Wu

    (School of Engineering and Technology, China University of Geosciences (Beijing), Beijing 100083, China)

Abstract

Although Beijing’s air quality has improved, there is still a long way to go for haze governance. In order to understand haze risk perception and related influencing factors among college students in Beijing, we developed and verified two scales, with college students as the survey object, and analyzed the theoretical framework and realistic level of haze risk perception and influencing factors through empirical research. We showed that the reliability and validity of the two scales are excellent, and they can be used as a powerful tool to measure college students’ perception of haze. The haze risk perception scale (HRPS) is divided into four dimensions. The degrees of perception ranked from high to low are: direct consequences perception, indirect consequences perception, risk responsibility perception and risk source perception. The haze risk perception influencing factor scale (HRPIFS) is divided into three dimensions. The degrees of influence ranked from high to low are: personal emotion, media communication and government policy; the three influencing factors all have a significant positive correlation to overall haze risk perception, but personal emotions and media communication are only significantly related to the three dimensions of direct consequence perception, indirect consequence perception and risk source perception. Government policy is only significantly related to the three dimensions of direct consequence perception, indirect consequence perception and risk liability perception. This paper proves the important role of media in haze risk perception and puts forward some policy suggestions to guide the public to form a rational risk perception. These findings can help improve theoretical and practical research related to haze risk.

Suggested Citation

  • Yongbao Zhang & Jianwu Chen & Xingfei Wei & Xiang Wu, 2022. "Development and Validation of the Haze Risk Perception Scale and Influencing Factor Scale—A Study Based on College Students in Beijing," IJERPH, MDPI, vol. 19(8), pages 1-21, April.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:8:p:4510-:d:789808
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    1. Peng Cheng & Jiuchang Wei & Yue Ge, 2017. "Who should be blamed? The attribution of responsibility for a city smog event in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 85(2), pages 669-689, January.
    2. María Jesús Fernández-Torres & Ana Almansa-Martínez & Rocío Chamizo-Sánchez, 2021. "Infodemic and Fake News in Spain during the COVID-19 Pandemic," IJERPH, MDPI, vol. 18(4), pages 1-13, February.
    3. Teun Terpstra, 2011. "Emotions, Trust, and Perceived Risk: Affective and Cognitive Routes to Flood Preparedness Behavior," Risk Analysis, John Wiley & Sons, vol. 31(10), pages 1658-1675, October.
    4. 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.
    5. Lingyi Zhou & Yixin Dai, 2019. "The Influencing Factors of Haze Tolerance in China," IJERPH, MDPI, vol. 16(2), pages 1-23, January.
    6. Kathuria, Vinish, 2007. "Informal regulation of pollution in a developing country: Evidence from India," Ecological Economics, Elsevier, vol. 63(2-3), pages 403-417, August.
    7. Julian Chuk‐ling Lai & Julia Tao, 2003. "Perception of Environmental Hazards in Hong Kong Chinese," Risk Analysis, John Wiley & Sons, vol. 23(4), pages 669-684, August.
    8. Yi Chen & Zhao Zhang & Peijun Shi & Xiao Song & Pin Wang & Xing Wei & Fulu Tao, 2017. "Public perception and responses to environmental pollution and health risks: evaluation and implication from a national survey in China," Journal of Risk Research, Taylor & Francis Journals, vol. 20(3), pages 347-365, March.
    9. Qinghua Zhang & Feifei Huang & Zaoling Liu & Na Zhang & Tanmay Mahapatra & Weiming Tang & Yang Lei & Yali Dai & Songyuan Tang & Jingping Zhang, 2016. "Cross-Cultural Validation of the High Blood Pressure Health Literacy Scale in a Chinese Community," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-12, April.
    10. Jiuchang Wei & Weiwei Zhu & Dora Marinova & Fei Wang, 2017. "Household adoption of smog protective behavior: a comparison between two Chinese cities," Journal of Risk Research, Taylor & Francis Journals, vol. 20(7), pages 846-867, July.
    11. Laura N. Rickard, 2014. "Perception of Risk and the Attribution of Responsibility for Accidents," Risk Analysis, John Wiley & Sons, vol. 34(3), pages 514-528, March.
    12. Xi Lu & Xiaofei Xie & Ji Xiong, 2015. "Social trust and risk perception of genetically modified food in urban areas of China: the role of salient value similarity," Journal of Risk Research, Taylor & Francis Journals, vol. 18(2), pages 199-214, February.
    13. Timothy L. McDaniels & Lawrence J. Axelrod & Nigel S. Cavanagh & Paul Slovic, 1997. "Perception of Ecological Risk to Water Environments," Risk Analysis, John Wiley & Sons, vol. 17(3), pages 341-352, June.
    14. Carolyn Kousky, 2010. "Learning from Extreme Events: Risk Perceptions after the Flood," Land Economics, University of Wisconsin Press, vol. 86(3).
    15. Xiang Wu & Jingqi Gao & Yuanlong Li & Chunlin Wu, 2019. "Development of A Safety Climate Scale for Geological Prospecting Projects in China," IJERPH, MDPI, vol. 16(6), pages 1-13, March.
    16. Rauter, Magdalena & Kaufmann, Maria & Thaler, Thomas & Fuchs, Sven, 2020. "Flood risk management in Austria: Analysing the shift in responsibility-sharing between public and private actors from a public stakeholder's perspective," Land Use Policy, Elsevier, vol. 99(C).
    17. Michael K. Lindell & Seong Nam Hwang, 2008. "Households' Perceived Personal Risk and Responses in a Multihazard Environment," Risk Analysis, John Wiley & Sons, vol. 28(2), pages 539-556, April.
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