Spatial agglomeration, technology and outsourcing of knowledge-intensive business services: empirical insights from Italy
by Roberto Antonietti, Giulio Cainelli
International Journal of Services Technology and Management (IJSTM), Vol. 10, No. 2/3/4, 2008

Abstract: The aim of this paper is to explore the main drivers of outsourcing of Knowledge-Intensive Business Services (KIBS) by Italian manufacturing firms. While anecdotal and empirical evidence has emphasised labour cost and scale economies as being behind firms' choices to outsource production or service activities, here we focus on spatial agglomeration and technology as important factors. Using microeconomic data on Italian manufacturing firms for the period 1998–2003, we develop a two-stage Heckman model in order to avoid selection bias: first, we estimate the determinants of the firm's decision to outsource business-related services; second, we estimate the main factors underlying the intensity of KIBS outsourcing, expressed by the number of service activities that are externalised. Our results show that labour cost savings do not seem to be relevant in driving the decision to outsource KIBS, but the use of Information and Communication Technology (ICT), Research and Development (R&D) and location within a dense and technologically developed industrial district has very positive effects.

Online publication date: Fri, 19-Dec-2008

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Services Technology and Management (IJSTM):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com