This article investigates the effect of firm size and ownership structure on technology adoption decisions using data on the electric utility industry. We argue that traditional models of technology diffusion may be subject to sample selectivity biases that overstate the effect of firm size on adoption probabilities. By extending conventional hazard rate models to use information on both adoption and nonadoption decisions, we differentiate between firms' opportunities for adoption and their underlying adoption propensities. The results suggest that large firms and investor-owned electric utilities are likely to adopt new technologies earlier than are their smaller and publicly owned counterparts. Moreover, the selection biases from conventional statistical models may overstate size effects and understate ownership and factor cost effects by as much as a factor of two.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
file. 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.
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.:
Cited by: (explanations, 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.) This item has more than 25 citations. To prevent cluttering this page, these citations are listed on a separate page.