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Spatial economic networks with multicriteria producers and consumers: Statics and dynamics

Author

Listed:
  • Ding Zhang

    (Department of Marketing and Management, School of Business, State University of New York at Oswego, Oswego, NY 13126, USA)

  • June Dong

    (Department of Marketing and Management, School of Business, State University of New York at Oswego, Oswego, NY 13126, USA)

  • Anna Nagurney

    (Department of Finance and Operations Management, Isenberg School of Management, University of Massachusetts, Amherst, MA 01003, USA)

Abstract

In this paper, we develop a framework for the formulation, analysis, and computation of solutions to spatial network problems in which the firms are multicriteria decision-makers and the consumers are as well. In particular, the firms, which are involved in the production of a homogeneous commodity, are spatially separated and weight the two criteria of profit maximization and total output maximization in distinct fashion. They are faced with the selection of modes/routes (which are modeled in an aggregated manner) to transport the commodity to the demand markets where consumers, consisting of different classes, consider the price charged by the producers and weight the transportation cost and the transportation time of the product on the links in an individual manner. We derive the governing equilibrium conditions and present the variational inequality formulation. We provide qualitative properties of the equilibrium commodity shipment and generalized price pattern and then propose a tatonnement process, which we formulate as a projected dynamical system. We give an algorithm for computational purposes and apply it to several numerical examples for illustration purposes. This paper is the first to integrate multicriteria decision-making on the production side and on the consumption side in a basic network context.

Suggested Citation

  • Ding Zhang & June Dong & Anna Nagurney, 2002. "Spatial economic networks with multicriteria producers and consumers: Statics and dynamics," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 36(1), pages 79-105.
  • Handle: RePEc:spr:anresc:v:36:y:2002:i:1:p:79-105
    Note: Received: February 2001/Accepted: August 2001
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    Cited by:

    1. Yamada, Tadashi & Imai, Koji & Nakamura, Takamasa & Taniguchi, Eiichi, 2011. "A supply chain-transport supernetwork equilibrium model with the behaviour of freight carriers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(6), pages 887-907.

    More about this item

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C62 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Existence and Stability Conditions of Equilibrium
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • D50 - Microeconomics - - General Equilibrium and Disequilibrium - - - General
    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General

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