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Cloud technologies, firm growth and industry concentration: Evidence from France

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  • Bernardo Caldarola
  • Luca Fontanelli

Abstract

Recent empirical evidence finds positive associations between digitalisation and industry concentration. However, ICT may not be all alike. We investigate the effect of the purchase of cloud services on the long run size growth rate of French firms. Our findings suggest that cloud services positively impact firm growth rates, with smaller firms experiencing more significant benefits compared to larger firms. This evidence suggests that the diffusion of cloud technologies may help mitigate concentration in the era of the digital transition by favouring the digitalisation and growth of smaller firms, especially when the cloud services provided are more advanced.

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  • Bernardo Caldarola & Luca Fontanelli, 2024. "Cloud technologies, firm growth and industry concentration: Evidence from France," Papers 2409.17035, arXiv.org.
    • Handle: RePEc:arx:papers:2409.17035
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    1. Patrick Puhani, 2000. "The Heckman Correction for Sample Selection and Its Critique," Journal of Economic Surveys, Wiley Blackwell, vol. 14(1), pages 53-68, February.
    2. James Bessen, 2020. "Industry Concentration and Information Technology," Journal of Law and Economics, University of Chicago Press, vol. 63(3), pages 531-555.
    3. Matej Bajgar & Giuseppe Berlingieri & Sara Calligaris & Chiara Criscuolo & Jonathan Timmis, 2019. "Industry concentration in Europe and North America," CEP Discussion Papers dp1654, Centre for Economic Performance, LSE.
    4. Danial Lashkari & Arthur Bauer & Jocelyn Boussard, 2024. "Information Technology and Returns to Scale," American Economic Review, American Economic Association, vol. 114(6), pages 1769-1815, June.
    5. Thomas Barnebeck Andersen & Jeanet Bentzen & Carl-Johan Dalgaard & Pablo Selaya, 2012. "Lightning, IT Diffusion, and Economic Growth Across U.S. States," The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 903-924, November.
    6. Sergei Guriev & Nikita Melnikov & Ekaterina Zhuravskaya, 2021. "3G Internet and Confidence in Government," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 136(4), pages 2533-2613.
    7. Domini, Giacomo & Grazzi, Marco & Moschella, Daniele & Treibich, Tania, 2021. "Threats and opportunities in the digital era: Automation spikes and employment dynamics," Research Policy, Elsevier, vol. 50(7).
    8. Caldarola, Bernardo & Grazzi, Marco & Occelli, Martina & Sanfilippo, Marco, 2023. "Mobile internet, skills and structural transformation in Rwanda," Research Policy, Elsevier, vol. 52(10).
    9. James Harrigan & Ariell Reshef & Farid Toubal, 2021. "The March of the Techies: Job Polarization Within and Between Firms," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-02973332, HAL.
    10. Harrigan, James & Reshef, Ariell & Toubal, Farid, 2021. "The March of the Techies: Job Polarization Within and Between Firms," Research Policy, Elsevier, vol. 50(7).
    11. Erik Brynjolfsson & Daniel Rock & Chad Syverson, 2018. "Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 23-57, National Bureau of Economic Research, Inc.
    12. Carol Corrado & Jonathan Haskel & Cecilia Jona-Lasinio, 2021. "Artificial intelligence and productivity: an intangible assets approach," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 37(3), pages 435-458.
    13. Vella, Francis & Verbeek, Marno, 1999. "Estimating and Interpreting Models with Endogenous Treatment Effects," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(4), pages 473-478, October.
    14. Daron Acemoglu & Pascual Restrepo, 2020. "Robots and Jobs: Evidence from US Labor Markets," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2188-2244.
    15. Clougherty, Joseph A. & Duso, Tomaso & Muck, Johannes, 2016. "Correcting for Self-selection Based Endogeneity in Management Research: Review, Recommendations and Simulations," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 19, pages 286-347.
    16. Heckman, James J, 1978. "Dummy Endogenous Variables in a Simultaneous Equation System," Econometrica, Econometric Society, vol. 46(4), pages 931-959, July.
    17. Bajgar, Matej & Berlingieri, Giuseppe & Calligaris, Sara & Criscuolo, Chiara & Timmis, Jonathan, 2019. "Industry concentration in Europe and North America," LSE Research Online Documents on Economics 103427, London School of Economics and Political Science, LSE Library.
    18. Jose Manuel Campa & Simi Kedia, 2002. "Explaining the Diversification Discount," Journal of Finance, American Finance Association, vol. 57(4), pages 1731-1762, August.
    19. Cirillo, Valeria & Fanti, Lucrezia & Mina, Andrea & Ricci, Andrea, 2023. "The adoption of digital technologies: Investment, skills, work organisation," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 89-105.
    20. J. Myles Shaver, 1998. "Accounting for Endogeneity When Assessing Strategy Performance: Does Entry Mode Choice Affect FDI Survival?," Management Science, INFORMS, vol. 44(4), pages 571-585, April.
    21. Babina, Tania & Fedyk, Anastassia & He, Alex & Hodson, James, 2024. "Artificial intelligence, firm growth, and product innovation," Journal of Financial Economics, Elsevier, vol. 151(C).
    22. Garrison, Gary & Wakefield, Robin L. & Kim, Sanghyun, 2015. "The effects of IT capabilities and delivery model on cloud computing success and firm performance for cloud supported processes and operations," International Journal of Information Management, Elsevier, vol. 35(4), pages 377-393.
    23. Erik Brynjolfsson & Lorin M. Hitt, 2003. "Computing Productivity: Firm-Level Evidence," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 793-808, November.
    24. Peter Gal & Giuseppe Nicoletti & Christina von Rüden & Stéphane Sorbe & Théodore Renault, 2019. "Digitalization and Productivity: In Search of the Holy Grail - Firm-level Empirical Evidence from European Countries," International Productivity Monitor, Centre for the Study of Living Standards, vol. 37, pages 39-71, Fall.
    25. Andrew A. King & Christopher L. Tucci, 2002. "Incumbent Entry into New Market Niches: The Role of Experience and Managerial Choice in the Creation of Dynamic Capabilities," Management Science, INFORMS, vol. 48(2), pages 171-186, February.
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