Complementarity in Training Practices Methodological Notes and Empirical Evidence for a Local Economic System
Susanna Mancinelli () and
Massimiliano Mazzanti ()
The IUP Journal of Applied Economics, 2009, vol. VIII, issue 1, pages 39-56
The paper develops a conceptual framework aimed at analyzing the profitability of financing general training, based on the notion of complementarity among productive factors. First, we show that a simple application of the theoretical analysis based on the lattice theory and the notion of supermodularity can provide a suitable framework for studying the complementarity relationships characterizing the productive factors. Second, we discuss empirical evidence on complementarity between general and specific training with respect to firm productivity, exploiting a detailed and specifically constructed survey based dataset. Complementarity between training forms is, thus, tested in a discrete framework. We show that complementarity holds for most specifications, though the outcome might be dependant on other firm-related features and strategies. The multivariate analysis also shows, on the same model framework, that R&D and training expenditures are emerging as the main explanatory drivers for productivity. Our results on training complementarity and productivity drivers indicate that complementarity related to training forms matters, however, mere training adoption is probably not sufficient: the level of training provided is positively correlated with firm productivity.
References: Add references at CitEc
Citations View citations in EconPapers (2) Track citations by RSS feed
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: http://EconPapers.repec.org/RePEc:icf:icfjae:v:08:y:2008:i:1:p:39-56
Access Statistics for this article
More articles in The IUP Journal of Applied Economics from IUP Publications
Series data maintained by G R K Murty ().