IDEAS home Printed from https://ideas.repec.org/a/eee/joreco/v68y2022ics0969698922001035.html
   My bibliography  Save this article

How did COVID-19 change what people buy: Evidence from a supermarket chain

Author

Listed:
  • Zuokas, Danas
  • Gul, Evren
  • Lim, Alvin

Abstract

This research takes a retrospective view of the COVID-19 pandemic and attempts to accurately measure its impact on sales of different product categories in grocery retail. In total 150 product categories were analyzed using the data of a major supermarket chain in the Netherlands. We propose to measure the pandemic impact by excess sales – the difference of actual and expected sales. We show that the pandemic impact is twofold: (1) There was a large but brief growth at 30.6% in excess sales associated with panic buying across most product categories within a two-week period; and (2) People spending most of their time at home due to imposed restrictions resulted in an estimated 5.4% increase in total sales lasting as long as the restrictions were active. The pandemic impact on different product categories varies in magnitudes and timing. Using time series clustering, we identified eight clusters of categories with similar pandemic impacts. Using clustering results, we project that product categories used for cooking, baking or meal preparation in general will have elevated sales even after the pandemic.

Suggested Citation

  • Zuokas, Danas & Gul, Evren & Lim, Alvin, 2022. "How did COVID-19 change what people buy: Evidence from a supermarket chain," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
  • Handle: RePEc:eee:joreco:v:68:y:2022:i:c:s0969698922001035
    DOI: 10.1016/j.jretconser.2022.103010
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0969698922001035
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jretconser.2022.103010?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Martin O'Connell & Áureo de Paula & Kate Smith, 2021. "Preparing for a pandemic: spending dynamics and panic buying during the COVID‐19 first wave," Fiscal Studies, John Wiley & Sons, vol. 42(2), pages 249-264, June.
    2. Haiqiang Chen & Wenlan Qian & Qiang Wen, 2021. "The Impact of the COVID-19 Pandemic on Consumption: Learning from High-Frequency Transaction Data," AEA Papers and Proceedings, American Economic Association, vol. 111, pages 307-311, May.
    3. Fildes, Robert & Ma, Shaohui & Kolassa, Stephan, 2019. "Retail forecasting: research and practice," MPRA Paper 89356, University Library of Munich, Germany.
    4. Laato, Samuli & Islam, A.K.M. Najmul & Farooq, Ali & Dhir, Amandeep, 2020. "Unusual purchasing behavior during the early stages of the COVID-19 pandemic: The stimulus-organism-response approach," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    5. Eunae Jung & Hyungun Sung, 2017. "The Influence of the Middle East Respiratory Syndrome Outbreak on Online and Offline Markets for Retail Sales," Sustainability, MDPI, vol. 9(3), pages 1-23, March.
    6. Asger Lau Andersen & Emil Toft Hansen & Niels Johannesen & Adam Sheridan, 2022. "Consumer responses to the COVID‐19 crisis: evidence from bank account transaction data," Scandinavian Journal of Economics, Wiley Blackwell, vol. 124(4), pages 905-929, October.
    7. Carvalho, V & Garcia, Juan R. & Hansen, S. & Ortiz, A. & Rodrigo, T. & More, J. V. R., 2020. "Tracking the COVID-19 Crisis with High-Resolution Transaction Data," Cambridge Working Papers in Economics 2030, Faculty of Economics, University of Cambridge.
    8. Li, Hailin & Wu, Yenchun Jim & Zhang, Shijie & Zou, Jinchuan, 2021. "Temporary rules of retail product sales time series based on the matrix profile," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    9. Montero, Pablo & Vilar, José A., 2014. "TSclust: An R Package for Time Series Clustering," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 62(i01).
    10. Tandon, Anushree & Kaur, Puneet & Bhatt, Yogesh & Mäntymäki, Matti & Dhir, Amandeep, 2021. "Why do people purchase from food delivery apps? A consumer value perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    11. Barbara Baarsma & Jesse Groenewegen, 2021. "COVID-19 and the Demand for Online Grocery Shopping: Empirical Evidence from the Netherlands," De Economist, Springer, vol. 169(4), pages 407-421, November.
    12. Eger, Ludvík & Komárková, Lenka & Egerová, Dana & MiÄ Ã­k, Michal, 2021. "The effect of COVID-19 on consumer shopping behaviour: Generational cohort perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    13. Islam, Tahir & Pitafi, Abdul Hameed & Arya, Vikas & Wang, Ying & Akhtar, Naeem & Mubarik, Shujaat & Xiaobei, Liang, 2021. "Panic buying in the COVID-19 pandemic: A multi-country examination," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    14. Omar, Nor Asiah & Nazri, Muhamad Azrin & Ali, Mohd Helmi & Alam, Syed Shah, 2021. "The panic buying behavior of consumers during the COVID-19 pandemic: Examining the influences of uncertainty, perceptions of severity, perceptions of scarcity, and anxiety," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
    15. Billore, Soniya & Anisimova, Tatiana, 2021. "Panic buying research: A systematic literature review and future research agenda," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, issue Early Vie.
    16. Vall Castelló, Judit & Lopez Casasnovas, Guillem, 2021. "The effect of lockdowns and infection rates on supermarket sales," Economics & Human Biology, Elsevier, vol. 40(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Guohua He & Zirun Hu, 2022. "A Model of Panic Buying and Workforce under COVID-19," IJERPH, MDPI, vol. 19(24), pages 1-14, December.
    2. Hao Chen & Alvin Lim, 2024. "The weakening pricing power of major brand over private label grocery products: evidence from a Dutch retailer," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 23(5), pages 396-405, October.

    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. Meng, Jie & Chen, Kai, 2024. "Rethinking preemptive consumption: Building mechanisms of reciprocity, contextuality, and risk hedging across scenarios," Journal of Retailing and Consumer Services, Elsevier, vol. 78(C).
    2. Liu, Yanfeng & Li, Xue & Yuen, Kum Fai, 2023. "Revenge buying: The role of negative emotions caused by lockdowns," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    3. Ashutosh Sarkar & Debadyuti Das & Arindam Debroy, 2024. "Panic Buying, Product Substitution and Channel-Shifting Behaviour During Pandemic," IIM Kozhikode Society & Management Review, , vol. 13(1), pages 25-43, January.
    4. Pan, Xiaodan & Dresner, Martin & Li, Guang & Mantin, Benny, 2024. "Stocking up on hand sanitizer: Pandemic lessons for retailers and consumers," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
    5. John Gathergood & Fabian Gunzinger & Benedict Guttman-Kenney & Edika Quispe-Torreblanca & Neil Stewart, 2020. "Levelling Down and the COVID-19 Lockdowns: Uneven Regional Recovery in UK Consumer Spending," Papers 2012.09336, arXiv.org, revised Dec 2020.
    6. Jiang, Yangyang & Stylos, Nikolaos, 2021. "Triggers of consumers’ enhanced digital engagement and the role of digital technologies in transforming the retail ecosystem during COVID-19 pandemic," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    7. O’Connell, Martin & Smith, Kate & Stroud, Rebekah, 2022. "The dietary impact of the COVID-19 pandemic," Journal of Health Economics, Elsevier, vol. 84(C).
    8. Emanuela Ciapanna & Gabriele Rovigatti, 2022. "The Grocery Trolley Race in Times of Covid-19: Evidence from Italy," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 8(2), pages 471-498, July.
    9. Fu, Shixuan & Zheng, Xiaojiang & Wang, Hongpeng & Luo, Yunzhong, 2023. "Fear appeals and coping appeals for health product promotion: Impulsive purchasing or psychological distancing?," Journal of Retailing and Consumer Services, Elsevier, vol. 74(C).
    10. Shin, Jinwook & Kim, Seonghoon & Koh, Kanghyock, 2021. "Economic impact of targeted government responses to COVID-19: Evidence from the large-scale clusters in Seoul," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 199-221.
    11. Jiang, Yi & Wang, Xueqin & Yuen, Kum Fai, 2021. "Augmented reality shopping application usage: The influence of attitude, value, and characteristics of innovation," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    12. Alishba & Muhammad Abrar & Faiqa Kiran, 2023. "The Role Of Perceived Severity And Anticipated Regret In Predicting Panic Buying Behavior," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 12(2), pages 164-170.
    13. Sarraf, Shagun & Kushwaha, Amit Kumar & Kar, Arpan Kumar & Dwivedi, Yogesh K. & Giannakis, Mihalis, 2024. "How did online misinformation impact stockouts in the e-commerce supply chain during COVID-19 – A mixed methods study," International Journal of Production Economics, Elsevier, vol. 267(C).
    14. Scott R. Baker & Robert A Farrokhnia & Steffen Meyer & Michaela Pagel & Constantine Yannelis, 2023. "Income, Liquidity, and the Consumption Response to the 2020 Economic Stimulus Payments," Review of Finance, European Finance Association, vol. 27(6), pages 2271-2304.
    15. Soltanzadeh, Shima & Rafiee, Majid & Weber, Gerhard-Wilhelm, 2024. "Disruption, panic buying, and pricing: A comprehensive game-theoretic exploration," Journal of Retailing and Consumer Services, Elsevier, vol. 78(C).
    16. Sejin Ha & Michelle Childs & Christopher T. Sneed & Ann Berry, 2021. "Consumer Sustainable Shopping Practices for Small Business during COVID-19," Sustainability, MDPI, vol. 13(22), pages 1-19, November.
    17. Hakan Yilmazkuday, 2021. "Changes in Consumption in the Early COVID-19 Era: Zip-Code Level Evidence from the U.S," JRFM, MDPI, vol. 14(10), pages 1-10, October.
    18. Fei Huang & Wenqiu Guo, 2023. "Rise of Mental Sub-Health Consumers: Examining the Compulsive Buying Behavior in the Post-COVID-19 Era," SAGE Open, , vol. 13(4), pages 21582440231, December.
    19. Daniel, Christopher & Hernandez, Tony, 2024. "What retail apocalypse? A Delphi forecast of commercial space demand in the Toronto region," Journal of Retailing and Consumer Services, Elsevier, vol. 77(C).
    20. Chen, Tinggui & Jin, Yumei & Yang, Jianjun & Cong, Guodong, 2022. "Identifying emergence process of group panic buying behavior under the COVID-19 pandemic," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).

    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:eee:joreco:v:68:y:2022:i:c:s0969698922001035. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-retailing-and-consumer-services .

    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.