Who Trains? High-tech Industries or High-tech Workplaces?
The growth in micro-technologies and their widespread diffusion across economic sectors have given rise to what is often described as a New Economy - an economy in which competitive prospects are closely aligned with the firm's innovation and technology practices, and its use of skilled workers. Training is one strategy that many firms undertake in order to improve the quality of their workforce. This study contributes to the expanding body of research in the area of information and communication technologies (ICT). Using data on business sector workplaces from the 1999 Workplace and Employee Survey (WES), we investigate factors related to the incidence and intensity of training. The study focuses on whether training incidence and training intensity are more closely associated with the technological competencies of specific workplaces than with membership in ICT and science-based industry environments. The study finds that training incidence depends more on the technological competencies exhibited by individual workplaces. Among workplaces that decide to train, these technological competencies are also important determinants of the intensity of training. Workplaces which score highly on our index of technological competency are over three times more likely to train than those that rank zero on the competency index. The size of the workplace is also a factor. Large and medium-sized workplaces are 3 and 2.3 times more likely to train than small workplaces, respectively. And workplaces with higher-skilled workforces are more likely to train than workplaces with lower-skilled workforces. For workplaces that choose to train, their technological competency is the main determinant of training intensity. The size of the workplace, the average cost of training, and the skill level of the workforce are also influential factors'but to a lesser extent. Other factors, such as sector, outside sources of funding, and unionization status, are not influential factors in determining the intensity of training. Workplaces that have a higher average cost of training train fewer employees as a proportion of their workforce. However, the skill level of their employees moderates this effect, because as payroll-per-employee increases (a proxy for worker skills), plants train more.
|Date of creation:||25 Jan 2005|
|Contact details of provider:|| Postal: Tunney's Pasture, Ottawa, Ontario, K1A 0T6|
Web page: http://www.statcan.gc.ca
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.:
- Timothy F. Bresnahan & Erik Brynjolfsson & Lorin M. Hitt, 2002.
"Information Technology, Workplace Organization, and the Demand for Skilled Labor: Firm-Level Evidence,"
The Quarterly Journal of Economics,
Oxford University Press, vol. 117(1), pages 339-376.
- Timothy F. Bresnahan & Erik Brynjolfsson & Lorin M. Hitt, 1999. "Information Technology, Workplace Organization and the Demand for Skilled Labor: Firm-Level Evidence," NBER Working Papers 7136, National Bureau of Economic Research, Inc.
- Dunne, Timothy & Schmitz, James A, Jr, 1995. "Wages, Employment Structure and Employer Size-Wage Premia: Their Relationship to Advanced-Technology Usage at US Manufacturing Establishments," Economica, London School of Economics and Political Science, vol. 62(245), pages 89-107, February.
- Baldwin, John R. & Gellatly, Guy, 1998. "Are There High-tech Industries or Only High-tech Firms? Evidence from New Technology-based Firms," Analytical Studies Branch Research Paper Series 1998120e, Statistics Canada, Analytical Studies Branch.
- Mark Doms & Timothy Dunne & Kenneth R. Troske, 1997. "Workers, Wages, and Technology," The Quarterly Journal of Economics, Oxford University Press, vol. 112(1), pages 253-290.
- Frenette, Marc & Picot, Garnett & Sceviour, Roger, 2004. "When do they leave? The dynamics of living in low-income neighbourhoods," Journal of Urban Economics, Elsevier, vol. 56(3), pages 484-504, November. Full references (including those not matched with items on IDEAS)
When requesting a correction, please mention this item's handle: RePEc:stc:stcp1e:2005006e. 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: (Mark Brown)
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.