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Understanding Consumer Panic Buying Behaviors during the Strict Lockdown on Omicron Variant: A Risk Perception View

Author

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  • Yaodong Yang

    (School of Economics, Anhui University, Hefei 230039, China)

  • Huaqing Ren

    (School of Public Affairs, Nanjing University of Science and Technology, Nanjing 210094, China)

  • Han Zhang

    (School of Economics and Management, Nanjing University of Science and Technology, Nanjing 210094, China)

Abstract

Panic buying has been globally observed, leading to substantial stock-outs and supply chain disruptions, thus inducing additional panic buying. Regarding panic buying behavior as an intuitive over-protective measure during the strict lockdown and seal-off management in China, this study presented a synthetic conceptual model by integrating the protective action decision model (PADM). We examined inductively the relationships among media exposure, cognitive-affective risk perception, stakeholder perception, protective perception, and panic buying behavior using a survey of 517 participants who experienced panic buying during the Omicron epidemic in China. Results suggest that traditional media exposure could attenuate people’s affective risk perception, whereas social media exposure increases the degree of cognitive and affective aspects of risk perception. Furthermore, we detect that cognitive and affective risk perceptions positively affect people’s panic-buying behaviors. The effects of stakeholder and protective perceptions on panic buying were also examined.

Suggested Citation

  • Yaodong Yang & Huaqing Ren & Han Zhang, 2022. "Understanding Consumer Panic Buying Behaviors during the Strict Lockdown on Omicron Variant: A Risk Perception View," Sustainability, MDPI, vol. 14(24), pages 1-19, December.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:24:p:17019-:d:1007829
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    as
    1. Peng Cheng & Zhe Ouyang & Yang Liu, 2020. "The effect of information overload on the intention of consumers to adopt electric vehicles," Transportation, Springer, vol. 47(5), pages 2067-2086, October.
    2. Yu Jie Ng & Z. Janet Yang & Arun Vishwanath, 2018. "To fear or not to fear? Applying the social amplification of risk framework on two environmental health risks in Singapore," Journal of Risk Research, Taylor & Francis Journals, vol. 21(12), pages 1487-1501, December.
    3. Gisela Wachinger & Ortwin Renn & Chloe Begg & Christian Kuhlicke, 2013. "The Risk Perception Paradox—Implications for Governance and Communication of Natural Hazards," Risk Analysis, John Wiley & Sons, vol. 33(6), pages 1049-1065, June.
    4. Wesseler Justus, 2020. "Storage Policies: Stockpiling Versus Immediate Release," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 18(1), pages 1-9, January.
    5. Jennifer E. C. Lee & Louise Lemyre, 2009. "A Social‐Cognitive Perspective of Terrorism Risk Perception and Individual Response in Canada," Risk Analysis, John Wiley & Sons, vol. 29(9), pages 1265-1280, September.
    6. Jeffrey K. Lazo & Ann Bostrom & Rebecca E. Morss & Julie L. Demuth & Heather Lazrus, 2015. "Factors Affecting Hurricane Evacuation Intentions," Risk Analysis, John Wiley & Sons, vol. 35(10), pages 1837-1857, October.
    7. Craig W. Trumbo & Lori Peek & Michelle A. Meyer & Holly L. Marlatt & Eve Gruntfest & Brian D. McNoldy & Wayne H. Schubert, 2016. "A Cognitive‐Affective Scale for Hurricane Risk Perception," Risk Analysis, John Wiley & Sons, vol. 36(12), pages 2233-2246, December.
    8. Daboula Koné & Etienne Mullet, 1994. "Societal Risk Perception and Media Coverage," Risk Analysis, John Wiley & Sons, vol. 14(1), pages 21-24, February.
    9. Charles Haas, 2020. "Coronavirus and Risk Analysis," Risk Analysis, John Wiley & Sons, vol. 40(4), pages 660-661, April.
    10. Kum Fai Yuen & Xueqin Wang & Fei Ma & Kevin X. Li, 2020. "The Psychological Causes of Panic Buying Following a Health Crisis," IJERPH, MDPI, vol. 17(10), pages 1-14, May.
    11. Yan Chen & Hua Ji & Li-Jun Chen & Rong Jiang & Yong-Ning Wu, 2018. "Food Safety Knowledge, Attitudes and Behavior among Dairy Plant Workers in Beijing, Northern China," IJERPH, MDPI, vol. 15(1), pages 1-9, January.
    12. Michael K. Lindell & David J. Whitney, 2000. "Correlates of Household Seismic Hazard Adjustment Adoption," Risk Analysis, John Wiley & Sons, vol. 20(1), pages 13-26, February.
    13. Julia S. Becker & Douglas Paton & David M. Johnston & Kevin R. Ronan, 2013. "Salient Beliefs About Earthquake Hazards and Household Preparedness," Risk Analysis, John Wiley & Sons, vol. 33(9), pages 1710-1727, September.
    14. Paul Slovic & Melissa L. Finucane & Ellen Peters & Donald G. MacGregor, 2004. "Risk as Analysis and Risk as Feelings: Some Thoughts about Affect, Reason, Risk, and Rationality," Risk Analysis, John Wiley & Sons, vol. 24(2), pages 311-322, April.
    15. Robert Meyer & Kenneth Broad & Ben Orlove & Nada Petrovic, 2013. "Dynamic Simulation as an Approach to Understanding Hurricane Risk Response: Insights from the Stormview Lab," Risk Analysis, John Wiley & Sons, vol. 33(8), pages 1532-1552, August.
    16. Roger E. Kasperson & Ortwin Renn & Paul Slovic & Halina S. Brown & Jacque Emel & Robert Goble & Jeanne X. Kasperson & Samuel Ratick, 1988. "The Social Amplification of Risk: A Conceptual Framework," Risk Analysis, John Wiley & Sons, vol. 8(2), pages 177-187, June.
    17. Craig W. Trumbo, 2018. "Influence of Risk Perception on Attitudes and Norms Regarding Electronic Cigarettes," Risk Analysis, John Wiley & Sons, vol. 38(5), pages 906-916, May.
    18. Jiuchang Wei & Ming Zhao & Fei Wang & Peng Cheng & Dingtao Zhao, 2016. "An Empirical Study of the Volkswagen Crisis in China: Customers’ Information Processing and Behavioral Intentions," Risk Analysis, John Wiley & Sons, vol. 36(1), pages 114-129, January.
    19. Chunhua Niu & Zhixin Jiang & Hongbing Liu & Kehu Yang & Xuping Song & Zhihong Li, 2022. "The influence of media consumption on public risk perception: a meta-analysis," Journal of Risk Research, Taylor & Francis Journals, vol. 25(1), pages 21-47, January.
    20. 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.
    21. Michael K. Lindell & Ronald W. Perry, 2012. "The Protective Action Decision Model: Theoretical Modifications and Additional Evidence," Risk Analysis, John Wiley & Sons, vol. 32(4), pages 616-632, April.
    22. Nancy M. Ridgway & Monika Kukar-Kinney & Kent B. Monroe, 2008. "An Expanded Conceptualization and a New Measure of Compulsive Buying," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 35(4), pages 622-639, August.
    23. Michael Siegrist & Heinz Gutscher, 2006. "Flooding Risks: A Comparison of Lay People's Perceptions and Expert's Assessments in Switzerland," Risk Analysis, John Wiley & Sons, vol. 26(4), pages 971-979, August.
    24. Bart Vyncke & Tanja Perko & Baldwin Van Gorp, 2017. "Information Sources as Explanatory Variables for the Belgian Health‐Related Risk Perception of the Fukushima Nuclear Accident," Risk Analysis, John Wiley & Sons, vol. 37(3), pages 570-582, March.
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    Cited by:

    1. Tinggui Chen & Yumei Jin & Bing Wang & Jianjun Yang, 2024. "The government intervention effects on panic buying behavior based on online comment data mining: a case study of COVID-19 in Hubei Province, China," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-20, December.
    2. Xunqing Wang & Nan Zhang & Hang Zhou & Xinpeng Huang & Rundong Luo, 2023. "Multi-Agent Evolutionary Game Analysis of Group Panic Buying in China during the COVID-19 Pandemic," Mathematics, MDPI, vol. 11(13), pages 1-24, July.

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