IDEAS home Printed from https://ideas.repec.org/h/spr/aiechp/978-3-642-55203-8_9.html
   My bibliography  Save this book chapter

Do FDI in Business Services Affect Firms’ TFP? Evidence from Italian Provinces

In: Geographical Labor Market Imbalances

Author

Listed:
  • Massimo Armenise

    (ISTAT)

  • Giorgia Giovannetti

    (University of Florence)

  • Gianluca Santoni

    (Sant’Anna School of Advanced Studies)

Abstract

This chapter studies the effect of FDI in business services on total factor productivity (TFP) of Italian manufacturing firms, over the period 2003–2008. More precisely, the chapter tests the presence of vertical linkages between foreign business professionals and domestic manufacturing firms. Our results, robust to different specifications, show that foreign capital inflows in business services improve the performance of domestic manufacturing firms. This relationship is particularly strong in the case of high-tech sectors, such as mechanics and machinery. Traditional sectors, on the other hand, seem to be less sensitive to the availability of foreign business services in the same location.

Suggested Citation

  • Massimo Armenise & Giorgia Giovannetti & Gianluca Santoni, 2015. "Do FDI in Business Services Affect Firms’ TFP? Evidence from Italian Provinces," AIEL Series in Labour Economics, in: Chiara Mussida & Francesco Pastore (ed.), Geographical Labor Market Imbalances, edition 127, chapter 0, pages 195-217, Springer.
    • Handle: RePEc:spr:aiechp:978-3-642-55203-8_9
    DOI: 10.1007/978-3-642-55203-8_9
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    More about this item

    Keywords

    Business services; FDI; Manufacturing; Panel data; Productivity;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • F23 - International Economics - - International Factor Movements and International Business - - - Multinational Firms; International Business

    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:spr:aiechp:978-3-642-55203-8_9. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.