Reaction function based dynamic location modeling in stackelberg-nash-cournot competition

Tan C. Miller, Terry L. Friesz, Roger L. Tobin, Changhyun Kwon

Research output: Contribution to journalArticle

19 Citations (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)77-97
Number of pages21
JournalNetworks and Spatial Economics
Volume7
Issue number1
DOIs
StatePublished - Mar 1 2007

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Mathematical programming
Sensitivity analysis
Dynamic models
Industry

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Networks and Communications
  • Artificial Intelligence

Cite this

Miller, Tan C. ; Friesz, Terry L. ; Tobin, Roger L. ; Kwon, Changhyun. / Reaction function based dynamic location modeling in stackelberg-nash-cournot competition. In: Networks and Spatial Economics. 2007 ; Vol. 7, No. 1. pp. 77-97.
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Reaction function based dynamic location modeling in stackelberg-nash-cournot competition. / Miller, Tan C.; Friesz, Terry L.; Tobin, Roger L.; Kwon, Changhyun.

In: Networks and Spatial Economics, Vol. 7, No. 1, 01.03.2007, p. 77-97.

Research output: Contribution to journalArticle

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