IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

Innovation and Employment: A firm level analysis with European R&D Scoreboard data

In this article, we analyse the microeconomic relationship between innovation and employment, using company data from R&D Scoreboard for Europe covering 2000-2008. We estimate a reduced form equation in which R&D can account for both product and process innovation. The existence of non constant elasticities is assessed, due to the combination of efficient scale and decreasing return to R&D: in our empirical estimates the scale effect tends to prevail for a given R&D intensity generating an increasing relationship between total turnover and employment. Our results have important implications for policymakers: R&D and innovation supporting policies should be correctly tailored and monitored since the results depend on the characteristics of the firms benefited. By the same token, calibration of general equilibrium models aimed at quantifying the employment impact of R&D and innovation policies should take into account that the average elasticity can be a very rough approximation. We claim that our results support the position that R&D and innovation policies should be tailored towards favouring entry by knowledge intensive firms, instead of supporting existing actors.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://iri.jrc.ec.europa.eu/documents/10180/23f4487d-7edf-4cf8-b9e3-e60440abf98d
Download Restriction: no

Paper provided by Institute of Prospective Technological Studies, Joint Research Centre in its series JRC-IPTS Working Papers on Corporate R&D and Innovation with number 2010-08.

as
in new window

Length: 25 pages
Date of creation: Sep 2010
Date of revision:
Handle: RePEc:ipt:wpaper:201008
Contact details of provider: Postal: C/ Inca Garcilaso, s/n 41092 Seville
Phone: +34 954 48 8318
Fax: +34 954 48 8300
Web page: https://ec.europa.eu/jrc/en/institutes/ipts
More information through EDIRC

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Van Reenen, John, 1997. "Employment and Technological Innovation: Evidence from U.K. Manufacturing Firms," Journal of Labor Economics, University of Chicago Press, vol. 15(2), pages 255-84, April.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:ipt:wpaper:201008. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Institute Publication Officer)

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.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.