IDEAS home Printed from https://ideas.repec.org/a/spr/italej/v8y2022i2d10.1007_s40797-022-00189-0.html
   My bibliography  Save this article

The Grocery Trolley Race in Times of Covid-19: Evidence from Italy

Author

Listed:
  • Emanuela Ciapanna

    (Bank of Italy)

  • Gabriele Rovigatti

    (Bank of Italy)

Abstract

We study the effects of the containment measures imposed by the Italian Government during the first wave of the Covid-19 pandemic on sales of the retail trade sector, focusing on different types of grocery chain stores. We document a sustained growth in revenues for storable products, beginning right before restrictions on mobility were introduced, and lasting throughout the whole lockdown period. The surge has been driven by the dynamics of smaller outlets, located in urban areas and closer to the city centre, while hypermarkets experienced a drop, probably relating to their more peripheral position. Thanks to the remarkable granularity of the Nielsen scanner data and the staggered implementation of restrictions across regions, we causally identify the short-term effects of mobility constraints on outlets’ sales. According to our estimates, large grocery stores in areas subject to lockdown measures earned revenues around 10% lower than their control group did. In view of the protraction of the pandemic and the need for the Government to continue managing the containment of infections, our study helps quantifying the costs for the economy of mobility restrictions, also highlighting possible distortions arising among different categories of outlets.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:italej:v:8:y:2022:i:2:d:10.1007_s40797-022-00189-0
    DOI: 10.1007/s40797-022-00189-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40797-022-00189-0
    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/s40797-022-00189-0?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 look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Scott R Baker & Robert A Farrokhnia & Steffen Meyer & Michaela Pagel & Constantine Yannelis & Jeffrey Pontiff, 0. "How Does Household Spending Respond to an Epidemic? Consumption during the 2020 COVID-19 Pandemic," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 10(4), pages 834-862.
    2. 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.
    3. 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.
    4. Hansen, Stephen & Carvalho, Vasco & García, Juan Ramón & Ortiz, Alvaro & Rodrigo, Tomasa & Rodríguez Mora, José V & Ruiz, Pep, 2020. "Tracking the COVID-19 Crisis with High-Resolution Transaction Data," CEPR Discussion Papers 14642, C.E.P.R. Discussion Papers.
    5. 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.
    6. Eliana Viviano & Luciana Aimone Gigio & Emanuela Ciapanna & Daniele Coin & Fabrizio Colonna & Federica Lagna & Raffaele Santioni, 2012. "The retail trade sector and the food industry in Italy," Questioni di Economia e Finanza (Occasional Papers) 119, Bank of Italy, Economic Research and International Relations Area.
    7. Diao, Mi & Leonard, Delon & Sing, Tien Foo, 2017. "Spatial-difference-in-differences models for impact of new mass rapid transit line on private housing values," Regional Science and Urban Economics, Elsevier, vol. 67(C), pages 64-77.
    8. Goolsbee, Austan & Syverson, Chad, 2021. "Fear, lockdown, and diversion: Comparing drivers of pandemic economic decline 2020," Journal of Public Economics, Elsevier, vol. 193(C).
    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. Horvath, Akos & Kay, Benjamin & Wix, Carlo, 2023. "The COVID-19 shock and consumer credit: Evidence from credit card data," Journal of Banking & Finance, Elsevier, vol. 152(C).
    3. 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.
    4. Diane Alexander & Ezra Karger, 2023. "Do Stay-at-Home Orders Cause People to Stay at Home? Effects of Stay-at-Home Orders on Consumer Behavior," The Review of Economics and Statistics, MIT Press, vol. 105(4), pages 1017-1027, July.
    5. Masciandaro, Donato & Goodhart, Charles & Ugolini, Stefano, 2021. "Pandemic recession and helicopter money: Venice, 1629–1631," Financial History Review, Cambridge University Press, vol. 28(3), pages 300-318, December.
    6. Akos Horvath & Benjamin S. Kay & Carlo Wix, 2021. "The COVID-19 Shock and Consumer Credit: Evidence from Credit Card Data," Finance and Economics Discussion Series 2021-008, Board of Governors of the Federal Reserve System (U.S.).
    7. Hackethal, Andreas & Weber, Annika, 2020. "Fiscal policies and household consumption during the COVID-19 pandemic: A review of early evidence," SAFE White Paper Series 76, Leibniz Institute for Financial Research SAFE.
    8. Bruno P. Carvalho & Susana Peralta & João Pereira dos Santos, 2022. "Regional and sectorial impacts of the Covid‐19 crisis: Evidence from electronic payments," Journal of Regional Science, Wiley Blackwell, vol. 62(3), pages 757-798, June.
    9. O’Connell, Martin & Smith, Kate & Stroud, Rebekah, 2022. "The dietary impact of the COVID-19 pandemic," Journal of Health Economics, Elsevier, vol. 84(C).
    10. Bonaccorsi, Giovanni & Scotti, Francesco & Pierri, Francesco & Flori, Andrea & Pammolli, Fabio, 2024. "Targeted policies and household consumption dynamics: Evidence from high-frequency transaction data," Journal of Economic Behavior & Organization, Elsevier, vol. 224(C), pages 111-134.
    11. Kubota, So & Onishi, Koichiro & Toyama, Yuta, 2021. "Consumption responses to COVID-19 payments: Evidence from a natural experiment and bank account data," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 1-17.
    12. John Gathergood & Benedict Guttman-Kenney, 2020. "The English Patient: Evaluating Local Lockdowns Using Real-Time COVID-19 & Consumption Data," Papers 2010.04129, arXiv.org, revised Jan 2021.
    13. van der Wielen, Wouter & Barrios, Salvador, 2021. "Economic sentiment during the COVID pandemic: Evidence from search behaviour in the EU," Journal of Economics and Business, Elsevier, vol. 115(C).
    14. David Finck & Peter Tillmann, 2020. "Pandemic Shocks and Household Spending," MAGKS Papers on Economics 202036, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    15. George, Ammu & Li, Changtai & Lim, Jing Zhi & Xie, Taojun, 2021. "From SARS to COVID-19: The evolving role of China-ASEAN production network," Economic Modelling, Elsevier, vol. 101(C).
    16. Hodbod, Alexander & Hommes, Cars & Huber, Stefanie J. & Salle, Isabelle, 2021. "The COVID-19 consumption game-changer: Evidence from a large-scale multi-country survey," European Economic Review, Elsevier, vol. 140(C).
    17. Granja, João & Makridis, Christos & Yannelis, Constantine & Zwick, Eric, 2022. "Did the paycheck protection program hit the target?," Journal of Financial Economics, Elsevier, vol. 145(3), pages 725-761.
    18. David Bounie & Youssouf Camara & John Galbraith, 2020. "Consumers’ Mobility, Expenditure and Online-Offline Substitution Response to COVID-19: Evidence from French Transaction Data," Cahiers de recherche 14-2020, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    19. Bixuan Yang & Frank Asche & Tao Li, 2022. "Consumer behavior and food prices during the COVID‐19 pandemic: Evidence from Chinese cities," Economic Inquiry, Western Economic Association International, vol. 60(3), pages 1437-1460, July.
    20. Christopher D. Carroll & Edmund Crawley & Jiri Slacalek & Matthew N. White, 2021. "Modeling the Consumption Response to the CARES Act," International Journal of Central Banking, International Journal of Central Banking, vol. 17(1), pages 107-141, March.

    More about this item

    Keywords

    Covid-19; Grocery retail trade; Consumption hoarding; Mobility restrictions; Contagion risk;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D18 - Microeconomics - - Household Behavior - - - Consumer Protection
    • I30 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General

    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:spr:italej:v:8:y:2022:i:2:d:10.1007_s40797-022-00189-0. 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.