A Count Data Model of Technology Adoption
This paper investigates the main determinants of the adoption of flexible production technologies (FPTs), using a plant-level dataset of Portuguese manufacturing industry. Besides using a new dataset, this paper extends the framework of previous studies on technology adoption by taking into account the effect of demand uncertainty as an additional determinant of adoption. In order to examine this relationship, several econometric models for count data are estimated. These models deal with the discrete nature of the dependent variable and firm specific unobservable characteristics arising from the cross-section context. The main findings of the paper are: (i) rank effects and technological regimes are important determinants of technology adoption, as put forward in previous models of technology diffusion; (ii) demand uncertainty has a significant positive impact on the likelihood of adopting FPTs, which suggests that technological heterogeneity is important when modelling firms' investment decisions; (iii) the estimates were improved after controlling for excess zeros and overdispersion that characterizes our data. Copyright 2003 by Kluwer Academic Publishers
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.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
When requesting a correction, please mention this item's handle: RePEc:kap:jtecht:v:28:y:2003:i:1:p:63-79. 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: (Guenther Eichhorn)or (Christopher F. Baum)
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.