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COVID‐19 challenges and firm responses: Analysis of a city‐wide census in a developing country

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  • Bryan S. Weber
  • Toan Luu Duc Huynh

Abstract

We use the unique data set of 16,300 firms' responses for the large‐scale census survey in an urban area at Ho Chi Minh City (Vietnam) to study how firms perceived their problems and responded to during the COVID‐19 pandemic. We provide estimates of 65 cross‐associations between a firm's challenges during the pandemic and their responses. We find several firm characteristics that suggest increased likelihood of pandemic response, including some, such as state ownership, which are typically associated with being slow to respond to market conditions. A theoretical model is posited that matches with the rapidly declared survey response.

Suggested Citation

  • Bryan S. Weber & Toan Luu Duc Huynh, 2022. "COVID‐19 challenges and firm responses: Analysis of a city‐wide census in a developing country," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(6), pages 2184-2195, September.
    • Handle: RePEc:wly:mgtdec:v:43:y:2022:i:6:p:2184-2195
    DOI: 10.1002/mde.3517
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    References listed on IDEAS

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    2. Apedo Amah,Marie Christine & Avdiu,Besart & Cirera,Xavier & Vargas Da Cruz,Marcio Jose & Davies,Elwyn Adriaan Robin & Grover,Arti Goswami & Iacovone,Leonardo & Kilinc,Umut & Medvedev,Denis & Maduko,Fr, 2020. "Unmasking the Impact of COVID-19 on Businesses : Firm Level Evidence from Across the World," Policy Research Working Paper Series 9434, The World Bank.
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    5. Xavier Cirera & Marcio Cruz & Elwyn Davies & Arti Grover & Leonardo Iacovone & Jose Ernesto Lopez Cordova & Denis Medvedev & Franklin Okechukwu Maduko & Gaurav Nayyar & Santiago Reyes Ortega & Jesica , 2021. "Policies to Support Businesses through the COVID-19 Shock: A Firm Level Perspective [Economic Uncertainty before and during the COVID-19 Pandemic]," The World Bank Research Observer, World Bank, vol. 36(1), pages 41-66.
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    Cited by:

    1. Khan, Muhammad Asif & Segovia, Juan E.Trinidad & Bhatti, M.Ishaq & Kabir, Asif, 2023. "Corporate vulnerability in the US and China during COVID-19: A machine learning approach," The Journal of Economic Asymmetries, Elsevier, vol. 27(C).

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