Firm Growth and Failure in Increasingly Competitive Markets Theory and Application to Hospital Markets
Recent models of firm failure and growth have ignored demand factors. In this paper, we generalize these theoretical analyses to include demand factors in explaining failure and growth for heterogeneous firms in local markets facing imperfect but increasing competition. The model is then applied empirically to the hospital industry in California over the 1980s, during which time competition did intensify. We model the closure decision based on expectations of future growth, explicitly accounting for self selection and simultaneity. We find that both size and demand factors are important determinants of survival and growth
Volume (Year): 1 (1994)
Issue (Month): 1 ()
|Contact details of provider:|| Web page: http://www.tandfonline.com/CIJB20|
|Order Information:||Web: http://www.tandfonline.com/pricing/journal/CIJB20|
When requesting a correction, please mention this item's handle: RePEc:taf:ijecbs:v:1:y:1994:i:1:p:77-93. 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: (Michael McNulty)
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.