Relative demand for highly skilled workers and use of different ICT technologies
Martin Falk and
Federico Biagi
Applied Economics, 2017, vol. 49, issue 9, 903-914
Abstract:
This study investigates the relationship between several indicators of ICT usage and digitalization and the relative demand for highly skilled workers. The data are based on two-digit industry-level information on seven European countries for the period 2001–2010. For manufacturing industries, static fixed-effects models show that the share of employees with internet broadband access, the diffusion of mobile internet access and the use of enterprise resource planning (ERP) systems and automatic data exchange combined with electronic invoicing are all significantly and positively related to skill intensity in the industries observed. For service industries, only mobile internet usage intensity is significant. Specifically for manufacturing, a 10-point increase in the percentage of firms using ERP systems is associated with an increase in the share of highly skilled workers by 0.4 percentage points. These estimates indicate that the increase in ERP system usage during the period studied accounted for 30% of the increase in the share of workers with a tertiary degree across manufacturing industries and countries. The results are robust with respect to the estimation method and the potential endogeneity of ICT.
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (16)
Downloads: (external link)
http://hdl.handle.net/10.1080/00036846.2016.1208357 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:applec:v:49:y:2017:i:9:p:903-914
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEC20
DOI: 10.1080/00036846.2016.1208357
Access Statistics for this article
Applied Economics is currently edited by Anita Phillips
More articles in Applied Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().