Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/180959 
Year of Publication: 
2017
Series/Report no.: 
Working Paper No. 2017-01
Publisher: 
The University of Utah, Department of Economics, Salt Lake City, UT
Abstract: 
This paper presents an intuitive model of university-industry (hereafter, UI) research linkages (or collaborations), focusing on the sharing principle under uncertainty. The paper draws from an earlier more complicated dynamic control theory model, but it differs in that it brings into the analysis of UI technical knowledge production and transfer the role of uncertainty (randomness) and the benefits of the principle of sharing. The main focus is to show how and why the principle of sharing under uncertainty benefits all entities involved in the technical knowledge production and transfer process, even if some entities experience research failure. Some problems associated with randomness are discussed. Operational aspects and policy value are also briefly discussed.
Subjects: 
University-Industry
Uncertainty
Cooperation
Sharing
Knowledge Transfer
JEL: 
O30
O31
O32
O33
Document Type: 
Working Paper

Files in This Item:
File
Size
535.38 kB





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.