IDEAS home Printed from https://ideas.repec.org/a/taf/indinn/v30y2023i1p103-134.html
   My bibliography  Save this article

Education, routine, and complexity-biased Key Enabling Technologies: evidence from Emilia-Romagna, Italy

Author

Listed:
  • Roberto Antonietti
  • Luca Cattani
  • Francesca Gambarotto
  • Giulio Pedrini

Abstract

\We analyse the relationship between the endowment of Key Enabling Technologies (KETs) and the demand for occupations, tasks, and skills in the local labour market areas (LLMAs) of Emilia-Romagna, Italy. We merge three data sources, and we compute the share of highly educated employees, of employees accomplishing low- versus high-routine tasks, and three novel indicators measuring the complexity of occupations, tasks, and skills. Our panel estimates show that a larger share of KETs not only corresponds to a higher demand for workers holding a tertiary education degree, or accomplishing less routinary tasks, but also to a higher demand for a wider, and more exclusive, set of occupations, tasks, and skills. These results are also robust to unobserved heterogeneity and reverse causality.

Suggested Citation

  • Roberto Antonietti & Luca Cattani & Francesca Gambarotto & Giulio Pedrini, 2023. "Education, routine, and complexity-biased Key Enabling Technologies: evidence from Emilia-Romagna, Italy," Industry and Innovation, Taylor & Francis Journals, vol. 30(1), pages 103-134, January.
    • Handle: RePEc:taf:indinn:v:30:y:2023:i:1:p:103-134
    DOI: 10.1080/13662716.2022.2045910
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13662716.2022.2045910
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/13662716.2022.2045910?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:indinn:v:30:y:2023:i:1:p:103-134. 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/CIAI20 .

    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.