IDEAS home Printed from https://ideas.repec.org/a/tpr/asiaec/v23y2024i1p140-169.html
   My bibliography  Save this article

Change from the COVID-19 Pandemic to a New Normal: Documenting Consumption Behavior of Two Years with Big Data

Author

Listed:
  • Yoko Konishi

    (Research Institute of Economy, Trade, and Industry (RIETI) 1-3-1 Kasumigaseki Chiyoda-ku Tokyo, 100-8901, Japan)

  • Takashi Saito

    (Ministry of Economy, Trade and Industry (METI) and Research Institute of Economy, Trade, and Industry (RIETI) 1-3-1 Kasumigaseki Chiyoda-ku Tokyo, 100-8901, Japan)

  • Hajime Kanai

    (INTAGE Inc. INTAGE Akihabara Building 3 Kanda-Neribeicho Chiyoda-ku Tokyo, 101-0022, Japan)

  • Naoya Igei

    (INTAGE RESEARCH Inc. 1-4-1 Honcho Higashikurume-shi Tokyo, 203-0053, Japan)

  • Junichi Mizumura

    (GfK Marketing Services Japan Ltd. 2-46-1 Honcho Nakano-ku Tokyo, 164-0012, Japan)

  • Kyoko Shiga

    (Zaim Inc. 1-4-28 Mita Minato-ku Tokyo, 108-0073, Japan)

  • Keita Sueyasu

    (Zaim Inc. 1-4-28 Mita Minato-ku Tokyo, 108-0073, Japan)

  • Ryosuke Hamaguchi

    (Zaim Inc. 1-4-28 Mita Minato-ku Tokyo, 108-0073, Japan)

Abstract

The COVID-19 pandemic has drastically changed our daily lives in terms of eating, learning, working, and leisure time. So far, Japan has experienced eight waves of widespread infection and three emergency declarations but has coped with the crisis without mandatory lockdowns, behavioral restrictions, and mandatory mask-wearing that were seen in other countries. The response has mainly been an encouragement of behavioral changes in our daily lives. In this paper, we observe through “consumption big data†the initial disruption, the adaptation period, and the change to a new normal. We use point of sale (POS) data from supermarkets, convenience stores, home centers, drugstores, and consumer electronics mass merchandisers, as well as data from household bookkeeping applications, for the two years from January 2020 to December 2021. The POS data were used to observe item-level sales trends, while the household bookkeeping application data were used to observe trends in service expenditures and the prevalence of cashless payments. This made it possible to comprehensively understand the changes in consumer behavior during the pandemic.

Suggested Citation

  • Yoko Konishi & Takashi Saito & Hajime Kanai & Naoya Igei & Junichi Mizumura & Kyoko Shiga & Keita Sueyasu & Ryosuke Hamaguchi, 2024. "Change from the COVID-19 Pandemic to a New Normal: Documenting Consumption Behavior of Two Years with Big Data," Asian Economic Papers, MIT Press, vol. 23(1), pages 140-169, Winter/Sp.
    • Handle: RePEc:tpr:asiaec:v:23:y:2024:i:1:p:140-169
    DOI: 10.1162/asep_a_00876
    as

    Download full text from publisher

    File URL: https://doi.org/10.1162/asep_a_00876
    Download Restriction: Access to PDF is restricted to subscribers.
    File URL: https://libkey.io/10.1162/asep_a_00876?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.

    More about this item

    Statistics

    Access and download statistics

    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:tpr:asiaec:v:23:y:2024:i:1:p:140-169. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Kelly McDougall (email available below). General contact details of provider: https://direct.mit.edu/journals .

    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.