IDEAS home Printed from https://ideas.repec.org/a/taf/ecsysr/v32y2020i4p502-520.html
   My bibliography  Save this article

The suggested structure of final demand shock for sectoral labour digital skills

Author

Listed:
  • Francesca Severini
  • Rosita Pretaroli
  • Claudio Socci
  • Jacopo Zotti
  • Giancarlo Infantino

Abstract

International data seem to confirm that countries with a relative abundancy of highly-skilled labour with digital competences grow faster than others. For this reason, digital competences and skills in general are progressively assuming a central role in labour market policies. In this article, we show the potential of the disaggregated multisectoral analysis with the macro multipliers approach as a tool of economic policy. Such analyses allow identifying a set of endogenous policies in which specific objectives do not clash with growth objectives. The identification and the quantification of the macro multipliers is based on an extended multi-industry, multi-factor and multi-sector model, which accounts for the representation of the income circular flow as in the social accounting matrix (SAM). The SAM constructed for this exercise allows for a proper disaggregation of the labour factor by formal educational attainment, digital competences and gender for the case of Italy.

Suggested Citation

  • Francesca Severini & Rosita Pretaroli & Claudio Socci & Jacopo Zotti & Giancarlo Infantino, 2020. "The suggested structure of final demand shock for sectoral labour digital skills," Economic Systems Research, Taylor & Francis Journals, vol. 32(4), pages 502-520, October.
    • Handle: RePEc:taf:ecsysr:v:32:y:2020:i:4:p:502-520
    DOI: 10.1080/09535314.2020.1726296
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/09535314.2020.1726296
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/09535314.2020.1726296?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.

    Citations

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


    Cited by:

    1. Deriu, S. & Cassar, I.P. & Pretaroli, R. & Socci, C., 2022. "The economic impact of Covid-19 pandemic in Sardinia," Research in Transportation Economics, Elsevier, vol. 93(C).
    2. Xuefeng Hou & Dianfeng Zhang & Liyuan Fu & Fu Zeng & Qing Wang, 2023. "Spatio-Temporal Evolution and Influencing Factors of Coupling Coordination Degree between Urban–Rural Integration and Digital Economy," Sustainability, MDPI, vol. 15(12), pages 1-26, June.

    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:ecsysr:v:32:y:2020:i:4:p:502-520. 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/CESR20 .

    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.