EconPapers    
Economics at your fingertips  
 

Dynamic Model of R&D, Spillovers, and Efficiency of Bertrand and Cournot Equilibria

M. Breton, A. Turki and Georges Zaccour
Additional contact information
M. Breton: GERAD, CREF, and HEC Montréal
A. Turki: HEC Montréal

Journal of Optimization Theory and Applications, 2004, vol. 123, issue 1, No 1, 25 pages

Abstract: Abstract Using an infinite-horizon two-player differential game, we derive and compare Bertrand and Cournot equilibria for a differentiated duopoly engaging in the process of R&D competition. The main findings of this study are as follows. First, Bertrand competition is more efficient if either R&D productivity is low or products are very different. Second, Cournot competition is more efficient provided that R&D productivity is high, products are close substitutes, and spillovers are not close to zero. This last result is different from what has been obtained in the literature. Hence, this shows that considering a dynamic model and more general investment costs does have an impact on the efficiency results.

Keywords: Differential games; research and development; Bertrand equilibrium; Cournot equilibrium; social optimum; duopoly (search for similar items in EconPapers)
Date: 2004
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

Downloads: (external link)
http://link.springer.com/10.1023/B:JOTA.0000043989.95285.51 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:joptap:v:123:y:2004:i:1:d:10.1023_b:jota.0000043989.95285.51

Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10957/PS2

DOI: 10.1023/B:JOTA.0000043989.95285.51

Access Statistics for this article

Journal of Optimization Theory and Applications is currently edited by Franco Giannessi and David G. Hull

More articles in Journal of Optimization Theory and Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:joptap:v:123:y:2004:i:1:d:10.1023_b:jota.0000043989.95285.51