La domanda di lavoro prevista dalle imprese medio-grandi nei distretti industriali dell'Emilia-Romagna e della Toscana
AbstractThe aim of this work is to evaluate the propensity of firms located in the industrial districts to demand skilled and/or unskilled workers. Based on information collected by the Excelsior survey, the number of hiring, by skill levels, has been estimated for the local labour market areas (LLMA) of the Emilia-Romagna and Tuscany regions. The evaluation of the reliability of estimates obtained at this territorial detail has addressed our analysis towards the firms having more than 100 employees. The districts has been compared with the remaining LLMA at first by productive sector, then also by the industrial district specialization. To summarize the multifaceted results arising from this comparison, a Poisson regression model has been estimated. One of the obtained results shows that firms operating in mechanical industrial districts show a higher propensity to hire managers and high-skilled workers.
Download InfoTo our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
Bibliographic InfoArticle provided by Rosenberg & Sellier Editori in Torino srl in its journal Sviluppo Locale.
Volume (Year): 12 (2006-07)
Issue (Month): 28 ()
Contact details of provider:
Web page: http://www.rosenbergesellier.it/
local labour market areas; Excelsior survey; hiring figures;
Find related papers by JEL classification:
- L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General
- J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral 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: (Adriano Boano).
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.