IDEAS home Printed from https://ideas.repec.org/a/spr/trosos/v16y2022i2d10.1007_s12626-022-00120-0.html
   My bibliography  Save this article

Fluctuations in the Number of Stores by Industry During the COVID-19 Pandemic Based on Japanese Phone Book Entries

Author

Listed:
  • Saki Saito

    (Rikkyo University)

  • Mariko I. Ito

    (The University of Tokyo)

  • Takaaki Ohnishi

    (Graduate School of Artificial Intelligence and Science, Rikkyo University, The Canon Institute for Global Studies)

Abstract

Currently in Japan, summaries of the number of bankruptcies due to the spread of COVID-19 can only be obtained from surveys conducted by a few research firms targeting particular companies. In this study, we used Japanese telephone directory data containing detailed information on the location and industrial category of stores/facilities nationwide in an effort to infer the influence of COVID-19 on businesses in Japan. We analyzed the temporal change in the number of stores before and after the COVID-19 outbreak. Among other findings, the analysis revealed that the number of travel agencies and facilities offering karaoke and other forms of entertainment declined significantly after the outbreak in some prefectures, with the largest declines in Ibaraki, Osaka, and Hyogo prefectures, and a relatively small decline in Tochigi prefecture. Among the stores and facilities categorized as restaurants and travel-related services, the decline was particularly significant in urban areas such as Tokyo and Osaka prefectures.

Suggested Citation

  • Saki Saito & Mariko I. Ito & Takaaki Ohnishi, 2022. "Fluctuations in the Number of Stores by Industry During the COVID-19 Pandemic Based on Japanese Phone Book Entries," The Review of Socionetwork Strategies, Springer, vol. 16(2), pages 545-557, October.
  • Handle: RePEc:spr:trosos:v:16:y:2022:i:2:d:10.1007_s12626-022-00120-0
    DOI: 10.1007/s12626-022-00120-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12626-022-00120-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s12626-022-00120-0?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. Tatyana A. Skvortsova & Tatyana A. Pasikova & Liliya N. Vereshchagina & Alexsei N. Pozdnishov & Anna V. Sukhovenko, 2020. "The Problem of Bankruptcy of Business Entities as a Consequence of the COVID-19 Pandemic," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(4), pages 828-837.
    2. Simon Cauchemez & Alain-Jacques Valleron & Pierre-Yves Boëlle & Antoine Flahault & Neil M. Ferguson, 2008. "Estimating the impact of school closure on influenza transmission from Sentinel data," Nature, Nature, vol. 452(7188), pages 750-754, April.
    3. Tsutomu Watanabe & Yuki Omori, 2020. "Online Consumption During the COVID-19 Crisis: Evidence from Japan," Working Papers on Central Bank Communication 023, University of Tokyo, Graduate School of Economics.
    Full references (including those not matched with items on IDEAS)

    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. 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.
    2. Michihito Ando & Chishio Furukawa & Daigo Nakata & Kazuhiko Sumiya, 2020. "Fiscal Responses to the COVID-19 Crisis in Japan: The First Six Months," National Tax Journal, National Tax Association;National Tax Journal, vol. 73(3), pages 901-926, September.
    3. Jérôme Adda, 2016. "Economic Activity and the Spread of Viral Diseases: Evidence from High Frequency Data," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(2), pages 891-941.
    4. Eiji Yamamura & Yoshiro Tsustsui, 2021. "The impact of closing schools on working from home during the COVID-19 pandemic: evidence using panel data from Japan," Review of Economics of the Household, Springer, vol. 19(1), pages 41-60, March.
    5. Maximiliano Gómez Aguirre & Ariel David Krysa, 2023. "Consumer Loans Dynamics in 2020 in Argentina: An Approach Using Error Correction Models," Ensayos Económicos, Central Bank of Argentina, Economic Research Department, vol. 1(81), pages 111-158, May.
    6. Judith Legrand & Joseph R Egan & Ian M Hall & Simon Cauchemez & Steve Leach & Neil M Ferguson, 2009. "Estimating the Location and Spatial Extent of a Covert Anthrax Release," PLOS Computational Biology, Public Library of Science, vol. 5(1), pages 1-9, April.
    7. Nisrine Essanoussi & Zineb Bennis Nechba, 2022. "The use of online payment in Morocco during COVID19: An analysis of the TAM model by logistic regression [L'utilisation du paiement en ligne au Maroc à l'heure de la COVID19 : Une analyse du modèle," Post-Print halshs-03705130, HAL.
    8. Tsutomu Watanabe & Yuki Omori, 2021. "Online Consumption During and After the COVID-19 Pandemic: Evidence from Japan," Working Papers on Central Bank Communication 035, University of Tokyo, Graduate School of Economics.
    9. Nao Nukiwa-Souma & Alexanderyn Burmaa & Taro Kamigaki & Ishiin Od & Namuutsetsegiin Bayasgalan & Badarchiin Darmaa & Akira Suzuki & Pagbajabyn Nymadawa & Hitoshi Oshitani, 2012. "Influenza Transmission in a Community during a Seasonal Influenza A(H3N2) Outbreak (2010–2011) in Mongolia: A Community-Based Prospective Cohort Study," PLOS ONE, Public Library of Science, vol. 7(3), pages 1-14, March.
    10. Jeffrey Shaman & Virginia E Pitzer & Cécile Viboud & Bryan T Grenfell & Marc Lipsitch, 2010. "Absolute Humidity and the Seasonal Onset of Influenza in the Continental United States," PLOS Biology, Public Library of Science, vol. 8(2), pages 1-13, February.
    11. Charles Stoecker & Nicholas J. Sanders & Alan Barreca, 2015. "Success is Something to Sneeze at: Influenza Mortality in Regions that Send Teams to the Super Bowl," Working Papers 1501, Tulane University, Department of Economics.
    12. Kazunobu Hayakawa & Hiroshi Mukunoki & Shujiro Urata, 2023. "Can e-commerce mitigate the negative impact of COVID-19 on international trade?," The Japanese Economic Review, Springer, vol. 74(2), pages 215-232, April.
    13. Ueda, Kozo, 2024. "Household spending responses to two-time COVID-19 payments," Japan and the World Economy, Elsevier, vol. 72(C).
    14. Eiji Yamamura & Yoshiro Tsutsui, 2021. "Changing views about remote working during the COVID-19 pandemic: Evidence using panel data from Japan," Papers 2101.08480, arXiv.org.
    15. Ross, J.V. & Pagendam, D.E. & Pollett, P.K., 2009. "On parameter estimation in population models II: Multi-dimensional processes and transient dynamics," Theoretical Population Biology, Elsevier, vol. 75(2), pages 123-132.
    16. Toshihiko Matsuoka & Tomoki Sato & Tomoyuki Akita & Jiturou Yanagida & Hiroki Ohge & Masao Kuwabara & Junko Tanaka, 2016. "High Vaccination Coverage among Children during Influenza A(H1N1)pdm09 as a Potential Factor of Herd Immunity," IJERPH, MDPI, vol. 13(10), pages 1-17, October.
    17. Ta-Chien Chan & Chwan-Chuen King & Muh-Yong Yen & Po-Huang Chiang & Chao-Sheng Huang & Chuhsing K Hsiao, 2010. "Probabilistic Daily ILI Syndromic Surveillance with a Spatio-Temporal Bayesian Hierarchical Model," PLOS ONE, Public Library of Science, vol. 5(7), pages 1-9, July.
    18. Ali AbdulHussein & Brian Cozzarin & Stanko Dimitrov, 2024. "Changes in consumer spending behavior during the COVID-19 pandemic across product categories," Electronic Commerce Research, Springer, vol. 24(4), pages 2267-2296, December.
    19. Fabrizio Iozzi & Francesco Trusiano & Matteo Chinazzi & Francesco C Billari & Emilio Zagheni & Stefano Merler & Marco Ajelli & Emanuele Del Fava & Piero Manfredi, 2010. "Little Italy: An Agent-Based Approach to the Estimation of Contact Patterns- Fitting Predicted Matrices to Serological Data," PLOS Computational Biology, Public Library of Science, vol. 6(12), pages 1-10, December.
    20. Georgios Marinos & Dimitrios Lamprinos & Panagiotis Georgakopoulos & Evangelos Oikonomou & Georgios Zoumpoulis & Nikolaos Garmpis & Anna Garmpi & Eirini Tzalavara & Gerasimos Siasos & Georgios Rachiot, 2022. "Evaluation of Knowledge, Attitudes and Practices Related to Self-Testing Procedure against COVID-19 among Greek Students: A Pilot Study," IJERPH, MDPI, vol. 19(8), pages 1-11, April.

    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:spr:trosos:v:16:y:2022:i:2:d:10.1007_s12626-022-00120-0. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.