Reaction Function Based Dynamic Location Modeling in Stackelberg–Nash–Cournot Competition
Document Type
Article
Publication Date
3-2007
Keywords
dynamic Stackelberg equilibrium location modeling, reaction functions
Digital Object Identifier (DOI)
https://doi.org/10.1007%2Fs11067-006-9013-4
Abstract
We formulate a dynamic facility location model for a firm locating on a discrete network. It is assumed that this locating firm will act as the leader firm in an industry characterized by Stackelberg leader–follower competition. The firm’s I competitors are assumed to act as Cournot firms and are each assumed to operate under the assumption of zero conjectural variation with respect to their I–1 Cournot competitors. Using sensitivity analysis of variational inequalities within a hierachical mathematical programming approach, we develop reaction function based dynamic models to optimize the Stackelberg firm’s location decision. In the second half of this paper, we use these models to illustrate through a numerical example the insights yielded by our approach.
Was this content written or created while at USF?
No
Citation / Publisher Attribution
Networks and Spatial Economics, v. 7, issue 1, p. 77-97
Scholar Commons Citation
Miller, Tan C.; Friesz, Terry L.; Tobin, Roger L.; and Kwon, Changhyun, "Reaction Function Based Dynamic Location Modeling in Stackelberg–Nash–Cournot Competition" (2007). Industrial and Management Systems Engineering Faculty Publications. 15.
https://digitalcommons.usf.edu/egs_facpub/15
