IDEAS home Printed from https://ideas.repec.org/p/ces/ceswps/_8306.html
   My bibliography  Save this paper

Cloud Computing and Firm Growth

Author

Listed:
  • Timothy DeStefano
  • Richard Kneller
  • Jonathan Timmis

Abstract

Cloud computing enables a shift in the costs of ICT adoption from investment in fixed capital to pay-on-demand services allowing firms to scale and reorganize. Using new firm-level data we examine the impact of cloud on firm growth, using zip-code-level instruments of the timing of high-speed fiber availability and speeds. Cloud leads to the growth of employment and revenue for young firms, but they become concentrated in fewer establishments. For incumbents, we find smaller scale effects but dispersed activity through closing establishments and moving employment farther from the headquarters. Moreover, cloud adoption leads to worker relocation across establishments within firms.

Suggested Citation

  • Timothy DeStefano & Richard Kneller & Jonathan Timmis, 2020. "Cloud Computing and Firm Growth," CESifo Working Paper Series 8306, CESifo.
  • Handle: RePEc:ces:ceswps:_8306
    as

    Download full text from publisher

    File URL: https://www.cesifo.org/DocDL/cesifo1_wp8306_0.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Albert Banal-Estanol & Jo Seldeslachts & Xavier Vives, 2022. "Ownership Diversification and Product Market Pricing Incentives," Discussion Papers of DIW Berlin 2023, DIW Berlin, German Institute for Economic Research.
    2. Ranajoy Bhattacharyya & Ripudaman Bhardwaj, 2022. "The Effect of Coronavirus Pandemic on the Rupee Dollar Exchange Rate," Working Papers 2264, Indian Institute of Foreign Trade.
    3. Anwar Adem & Richard Kneller & Cher Li, 2023. "Information Constraints and Technology Efficiency: Field Experiments Benchmarking Firms Website Performance," CESifo Working Paper Series 10457, CESifo.
    4. Rafael Novella & David Rosas-Shady & Alfredo Alvarado, 2023. "Are we nearly there yet? New technology adoption and labor demand in Peru," Science and Public Policy, Oxford University Press, vol. 50(4), pages 565-578.
    5. Cathles, Alison & Nayyar, Gaurav & Rückert, Désirée, 2020. "Digital technologies and firm performance: Evidence from Europe," EIB Working Papers 2020/06, European Investment Bank (EIB).
    6. Behrens, Vanessa & Viete, Steffen, 2020. "A note on Germany's role in the fourth industrial revolution," Working Papers 09/2020, German Council of Economic Experts / Sachverständigenrat zur Begutachtung der gesamtwirtschaftlichen Entwicklung.
    7. Gilbert Cette & Sandra Nevoux & Loriane Py, 2022. "The impact of ICTs and digitalization on productivity and labor share: evidence from French firms," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 31(8), pages 669-692, November.
    8. Flavio Calvino & Luca Fontanelli, 2023. "Artificial intelligence, complementary assets and productivity: evidence from French firms," LEM Papers Series 2023/35, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    9. Inha Oh & Jungho Kim, 2023. "Frontiers and laggards: Which firms benefit from adopting advanced digital technologies?," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(2), pages 753-766, March.
    10. Marinella Boccia & Anna Maria Ferragina & Stefano Iandolo, 2022. "Follow the cloud! The impact of ICT on Italian provinces’ trade," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 49(4), pages 667-690, December.
    11. Sam Ruiqing Cao & Marco Iansiti, 2022. "Organizational Barriers to Transforming Large Finance Corporations: Cloud Adoption and the Importance of Technological Architecture," CESifo Working Paper Series 10142, CESifo.

    More about this item

    Keywords

    cloud; digital; productivity; firms;
    All these keywords.

    JEL classification:

    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • L20 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - General
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ces:ceswps:_8306. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Klaus Wohlrabe (email available below). General contact details of provider: https://edirc.repec.org/data/cesifde.html .

    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.