1991Journal of Regional ScienceRequires access

STACKELBERG GAMES ON A NETWORK WITH COURNOT‐NASH OLIGOPOLISTIC COMPETITORS

Tanfield C. Miller, Roger L. Tobin, Terry L. Friesz

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Abstract

ABSTRACT. We formulate the spatial Stackelberg‐Nash‐Cournot competitive network equilibrium problem as a variational inequality constrained mathematical program. Our model differs from previous models of Stackelberg oligopolistic competition in that it employs explicit shipping decision variables and a general network topology. That is, the production and distribution decisions of the Stackelberg firm are determined simultaneously over a discrete network. We explore the existence of solutions to the proposed model, and we also numerically test a sensitivity analysis based algorithm. In particular, we illustrate how sensitivity analysis results can be used to generate the Cournot reaction necessary to solve the Stackelberg problem.

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ABSTRACT. We formulate the spatial Stackelberg‐Nash‐Cournot competitive network equilibrium problem as a variational inequality constrained mathematical program. Our model differs from previous models of Stackelberg oligopolistic competition in that it employs explicit shipping decision variables and a general network topology. That is, the production and distribution decisions of the Stackelberg firm are determined simultaneously over a discrete network. We explore the existence of solutions to the proposed model, and we also numerically test a sensitivity analysis based algorithm. In particular, we illustrate how sensitivity analysis results can be used to generate the Cournot reaction necessary to solve the Stackelberg problem.

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Available abstract

ABSTRACT. We formulate the spatial Stackelberg‐Nash‐Cournot competitive network equilibrium problem as a variational inequality constrained mathematical program. Our model differs from previous models of Stackelberg oligopolistic competition in that it employs explicit shipping decision variables and a general network topology. That is, the production and distribution decisions of the Stackelberg firm are determined simultaneously over a discrete network. We explore the existence of solutions to the proposed model, and we also numerically test a sensitivity analysis based algorithm. In particular, we illustrate how sensitivity analysis results can be used to generate the Cournot reaction necessary to solve the Stackelberg problem.

Key concepts: Stackelberg competition, Cournot competition, Oligopoly, Sensitivity (control systems), Mathematical optimization, Nash equilibrium, Mathematical economics, Variational inequality

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