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Technology and Resilience

Author

Listed:
  • Cirera,Xavier
  • Comin,Diego Adolfo
  • Vargas Da Cruz,Marcio Jose
  • Lee,Kyungmin
  • Torres Coronado,Jesica
Abstract
This paper estimates the impact of technology sophistication pre-COVID-19 on the performance offirms during the early stages of the pandemic. It exploits a unique data set covering firms from Brazil, Senegal, andVietnam, using a treatment effect mediation framework to decompose the results into direct and indirect effects.Increasing pre-pandemic technology sophistication by one standard deviation is associated with 3.8 percentage pointshigher sales. Both effects are positive, but the direct effect is about five times larger than the indirect effect.The total effect on sales is markedly nonlinear with significantly smaller estimates of the reduction in salesfor firms with more sophisticated pre-pandemic technology. The results are robust to different measures of digitalresponses and matching estimators.

Suggested Citation

  • Cirera,Xavier & Comin,Diego Adolfo & Vargas Da Cruz,Marcio Jose & Lee,Kyungmin & Torres Coronado,Jesica, 2022. "Technology and Resilience," Policy Research Working Paper Series 9949, The World Bank.
  • Handle: RePEc:wbk:wbrwps:9949
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    References listed on IDEAS

    as
    1. James J. Heckman & Rodrigo Pinto, 2015. "Econometric Mediation Analyses: Identifying the Sources of Treatment Effects from Experimentally Estimated Production Technologies with Unmeasured and Mismeasured Inputs," Econometric Reviews, Taylor & Francis Journals, vol. 34(1-2), pages 6-31, February.
    2. Fairlie, Robert, 2020. "The Impact of COVID-19 on Small Business Owners: The First Three Months after Social-Distancing Restrictions," MPRA Paper 113127, University Library of Munich, Germany.
    3. Adams-Prassl, Abi & Boneva, Teodora & Golin, Marta & Rauh, Christopher, 2020. "Inequality in the impact of the coronavirus shock: Evidence from real time surveys," Journal of Public Economics, Elsevier, vol. 189(C).
    4. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    5. Adams-Prassl, A. & Boneva, T. & Golin, M & Rauh, C., 2020. "Inequality in the Impact of the Coronavirus Shock: New Survey Evidence for the UK," Cambridge Working Papers in Economics 2023, Faculty of Economics, University of Cambridge.
    6. Abadie, Alberto & Imbens, Guido W., 2011. "Bias-Corrected Matching Estimators for Average Treatment Effects," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(1), pages 1-11.
    7. John Eric Humphries & Christopher Neilson & Gabriel Ulyssea, 2020. "The evolving impacts of COVID-19 on small businesses since the CARES Act," Working Papers 2020-48, Princeton University. Economics Department..
    8. Po-Hsuan Hsu & Hsiao-Hui Lee & Shu-Cing Peng & Long Yi, 2018. "Natural Disasters, Technology Diversity, and Operating Performance," The Review of Economics and Statistics, MIT Press, vol. 100(4), pages 619-630, October.
    9. Robert W. Fairlie, 2020. "The Impact of Covid-19 on Small Business Owners: Evidence of Early-Stage Losses from the April 2020 Current Population Survey," NBER Working Papers 27309, National Bureau of Economic Research, Inc.
    10. Nicholas Bloom & John Van Reenen, 2010. "Why Do Management Practices Differ across Firms and Countries?," Journal of Economic Perspectives, American Economic Association, vol. 24(1), pages 203-224, Winter.
    11. Robert Fairlie, 2020. "The impact of COVID‐19 on small business owners: Evidence from the first three months after widespread social‐distancing restrictions," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 29(4), pages 727-740, October.
    12. Alexander W. Bartik & Marianne Bertrand & Zoe Cullen & Edward L. Glaeser & Michael Luca & Christopher Stanton, 2020. "The impact of COVID-19 on small business outcomes and expectations," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(30), pages 17656-17666, July.
    13. 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.
    14. 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. Copestake, Alexander & Estefania-Flores, Julia & Furceri, Davide, 2024. "Digitalization and resilience," Research Policy, Elsevier, vol. 53(3).

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    More about this item

    Keywords

    Common Carriers Industry; Food & Beverage Industry; Business Cycles and Stabilization Policies; General Manufacturing; Textiles; Apparel & Leather Industry; Pulp & Paper Industry; Construction Industry; Plastics & Rubber Industry; Urban Transport; Financial Sector Policy; Food Security;
    All these keywords.

    JEL classification:

    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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