Efficiency of Bertrand and Cournot: A Two Stage Game
Michèle Breton and
Abdalla Turki
Chapter Chapter 8 in Dynamic Games: Theory and Applications, 2005, pp 161-173 from Springer
Abstract:
Abstract We consider a differentiated duopoly where firms invest in research and development (R&D) to reduce their production cost. The objective of this study is to derive and compare Bertrand and Cournot equilibria, and then examine the robustness of the literature's results, especially those of Qiu (1997). We find that The main results of this study are as follows: (a) Bertrand competition is more efficient if R&D productivity is low, industry spillovers are weak, or products are very different. (b) Cournot competition is more efficient if R&D productivity is high and R&D spillovers and products' degree of substitutability are not very small. (c) Cournot competition may lead to higher Outputs, higher consumer surpluses and lower prices, provided that R&D productivity is very high and spillovers and degree of substitutability of firms' products are moderate to high, (d) Cournot competition results in higher R&D Investments compared to Bertrand's. These results show that the relative efficiencies of Bertrand and Cournot equilibria are sensitive to the suggested specifications, and hence far from being robust.
Keywords: Consumer Surplus; Dynamic Game; Total Welfare; Stage Game; Cournot Competition (search for similar items in EconPapers)
Date: 2005
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
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:sprchp:978-0-387-24602-4_8
Ordering information: This item can be ordered from
http://www.springer.com/9780387246024
DOI: 10.1007/0-387-24602-9_8
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().