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Panic Buying Behavior Analysis according to Consumer Income and Product Type during COVID-19

Author

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  • Irineu de Brito Junior

    (Environmental Engineering Department, São Paulo State University, São José dos Campos 12247-004, Brazil
    Graduate Program in Logistics Systems Engineering, University of São Paulo, São Paulo 05508-010, Brazil)

  • Hugo Tsugunobu Yoshida Yoshizaki

    (Graduate Program in Logistics Systems Engineering, University of São Paulo, São Paulo 05508-010, Brazil
    Department of Production Engineering, University of São Paulo, São Paulo 05508-010, Brazil)

  • Flaviane Azevedo Saraiva

    (Department of Production Engineering, University of São Paulo, São Paulo 05508-010, Brazil)

  • Nathan de Campos Bruno

    (Environmental Engineering Department, São Paulo State University, São José dos Campos 12247-004, Brazil)

  • Roberto Fray da Silva

    (Institute of Advanced Studies, University of São Paulo, São Paulo 05508-050, Brazil)

  • Celso Mitsuo Hino

    (Department of Production Engineering, University of São Paulo, São Paulo 05508-010, Brazil)

  • Larissa Limongi Aguiar

    (Graduate Program in Logistics Systems Engineering, University of São Paulo, São Paulo 05508-010, Brazil)

  • Isabella Marrey Ferreira de Ataide

    (Graduate Program in Logistics Systems Engineering, University of São Paulo, São Paulo 05508-010, Brazil)

Abstract

In 2020, just before measures were established by governments to minimize the spread of SARS-CoV-2, such as social distancing, quarantine, lockdowns, and internal movement restrictions, people began to buy some products in quantities much superior to their regular needs. This behavior is called panic buying and is a typical human response in times of crisis and uncertainty. This study compares retail sale levels during the period in which panic purchases occurred to the sales levels before and after that period. We analyzed the sales of five groups of products from 144 stores of two major retailers in São Paulo, Brazil. Several regression models were used to evaluate the data obtained from demographic information, actual sales, per capita income, and product sales transactions. The results show that sales before, during, and after the panic buying period varied according to the product type and increased according to the average per capita income of each store’s influence area. These results may assist policymakers in introducing public policies and managing resources during a crisis that requires social distancing and lockdowns.

Suggested Citation

  • Irineu de Brito Junior & Hugo Tsugunobu Yoshida Yoshizaki & Flaviane Azevedo Saraiva & Nathan de Campos Bruno & Roberto Fray da Silva & Celso Mitsuo Hino & Larissa Limongi Aguiar & Isabella Marrey Fer, 2023. "Panic Buying Behavior Analysis according to Consumer Income and Product Type during COVID-19," Sustainability, MDPI, vol. 15(2), pages 1-17, January.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:2:p:1228-:d:1029882
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    References listed on IDEAS

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    1. Keane, Michael & Neal, Timothy, 2021. "Consumer panic in the COVID-19 pandemic," Journal of Econometrics, Elsevier, vol. 220(1), pages 86-105.
    2. Viktória Ali Taha & Tonino Pencarelli & Veronika Škerháková & Richard Fedorko & Martina Košíková, 2021. "The Use of Social Media and Its Impact on Shopping Behavior of Slovak and Italian Consumers during COVID-19 Pandemic," Sustainability, MDPI, vol. 13(4), pages 1-19, February.
    3. Hugo T. Y. Yoshizaki & Irineu de Brito Junior & Celso Mitsuo Hino & Larrisa Limongi Aguiar & Maria Clara Rodrigues Pinheiro, 2020. "Relationship between Panic Buying and Per Capita Income during COVID-19," Sustainability, MDPI, vol. 12(23), pages 1-14, November.
    4. Prentice, Catherine & Chen, Jinyan & Stantic, Bela, 2020. "Timed intervention in COVID-19 and panic buying," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    5. 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.
    6. Janni Leung & Jack Yiu Chak Chung & Calvert Tisdale & Vivian Chiu & Carmen C. W. Lim & Gary Chan, 2021. "Anxiety and Panic Buying Behaviour during COVID-19 Pandemic—A Qualitative Analysis of Toilet Paper Hoarding Contents on Twitter," IJERPH, MDPI, vol. 18(3), pages 1-16, January.
    7. Naeem, Muhammad, 2021. "Do social media platforms develop consumer panic buying during the fear of Covid-19 pandemic," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
    8. Erpeng Wang & Ning An & Zhifeng Gao & Emmanuel Kiprop & Xianhui Geng, 2020. "Consumer food stockpiling behavior and willingness to pay for food reserves in COVID-19," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 12(4), pages 739-747, August.
    9. Jianjia He & Shengmin Liu & Tingting Li & Thi Hoai Thuong Mai, 2021. "The Positive Effects of Unneeded Consumption Behaviour on Consumers during the COVID-19 Pandemic," IJERPH, MDPI, vol. 18(12), pages 1-17, June.
    10. Grace Chua & Kum Fai Yuen & Xueqin Wang & Yiik Diew Wong, 2021. "The Determinants of Panic Buying during COVID-19," IJERPH, MDPI, vol. 18(6), pages 1-28, March.
    11. Rithika Dulam & Kazuo Furuta & Taro Kanno, 2021. "Consumer Panic Buying: Realizing Its Consequences and Repercussions on the Supply Chain," Sustainability, MDPI, vol. 13(8), pages 1-24, April.
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