IDEAS home Printed from https://ideas.repec.org/a/taf/ecinnt/v32y2023i8p1114-1137.html
   My bibliography  Save this article

Assessing the impact of digital technology diffusion policies. Evidence from Italy

Author

Listed:
  • Barbara Bratta
  • Livio Romano
  • Paolo Acciari
  • Francesca Mazzolari

Abstract

This paper provides firm-level evidence on how subsidies to buyers of advanced digital production technologies work in sustaining private investments in innovation, and how such investments correlate with firms’ demand for labor. By exploiting the introduction in 2017 of a fiscal incentive granted to all Italian companies purchasing tangible goods instrumental to their digital transformation, we are able to quantify the volume of the subsidized investments within the national economy, to correlate the decision to invest with ex-ante structural and strategic characteristics of the beneficiary firms, and to evaluate the labor market effects (hirings and separations) of these investments at the firm level, for different classes of workers and firms. Overall, the analysis suggests that the policy has been so far an effective means to support the advanced digital technology transformation of the Italian production system and that such transformation has been positively correlated with employment growth at investing firms.

Suggested Citation

  • Barbara Bratta & Livio Romano & Paolo Acciari & Francesca Mazzolari, 2023. "Assessing the impact of digital technology diffusion policies. Evidence from Italy," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 32(8), pages 1114-1137, November.
  • Handle: RePEc:taf:ecinnt:v:32:y:2023:i:8:p:1114-1137
    DOI: 10.1080/10438599.2022.2075357
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/10438599.2022.2075357
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/10438599.2022.2075357?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 search for a different version of it.

    More about this item

    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:taf:ecinnt:v:32:y:2023:i:8:p:1114-1137. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/GEIN20 .

    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.