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Capacity Investment under Demand Uncertainty: Price vs. Quantity Competition

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  • Jan A. Miegham
  • Maqbool Dada

Abstract

This article shows that under uncertainty, a firm's capacity investment decision crucially depends on the mode of market approach (price-setting vs. quantity-setting) and competition that follows investment. We model an industry in which firms have to make capacity investment decisions when demand is uncertain. First each firm must decide on its capacity investment level. Then, industry capacity levels are observed and firms engage in quantity or price competition. Finally, demand and revenues are realized. We begin by considering a monopoly and show that the monopoly price given an uncertain demand curve can be higher or lower than the reference price when the demand curve is known at the start. Moreover price and firm value may fall or rise with increasing uncertainty. We compare thses results with a setting where a monopolist sets quantity instead of price. The resulting investment fundamentally differs from the price-setting investment. Moreover, the investment strategy under quantity-setting is significantly less sensitive to variability and more profitable than under price-setting. Under quantity competition, these results extend to a duopoly, oligopoly and perfect competition. In addition, entry dettering investments are possible yet more difficult as variability increases and credible only at low investment costs. Under price competition, no pure equilibria exist if there is demand uncertainty. Key Words: pricing, quantity, capacity, competition, strategy, game theory, demand uncertainty.

Suggested Citation

  • Jan A. Miegham & Maqbool Dada, 1997. "Capacity Investment under Demand Uncertainty: Price vs. Quantity Competition," Discussion Papers 1204, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
  • Handle: RePEc:nwu:cmsems:1204
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    References listed on IDEAS

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    1. Carl Davidson & Raymond Deneckere, 1986. "Long-Run Competition in Capacity, Short-Run Competition in Price, and the Cournot Model," RAND Journal of Economics, The RAND Corporation, vol. 17(3), pages 404-415, Autumn.
    2. Avinash Dixit, 1979. "A Model of Duopoly Suggesting a Theory of Entry Barriers," Bell Journal of Economics, The RAND Corporation, vol. 10(1), pages 20-32, Spring.
    3. Guillermo Gallego & Garrett van Ryzin, 1994. "Optimal Dynamic Pricing of Inventories with Stochastic Demand over Finite Horizons," Management Science, INFORMS, vol. 40(8), pages 999-1020, August.
    4. Yakov Amihud & Haim Mendelson, 1983. "Price Smoothing and Inventory," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 50(1), pages 87-98.
    5. Edwin S. Mills, 1959. "Uncertainty and Price Theory," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 73(1), pages 116-130.
    6. Hviid, Morten, 1991. "Capacity constrained duopolies, uncertain demand and non-existence of pure strategy equilibria," European Journal of Political Economy, Elsevier, vol. 7(2), pages 183-190, July.
    7. T. M. Whitin, 1955. "Inventory Control and Price Theory," Management Science, INFORMS, vol. 2(1), pages 61-68, October.
    8. Amihud, Yakov & Mendelson, Haim, 1983. "Multiperiod sales-production decisions under uncertainty," Journal of Economic Dynamics and Control, Elsevier, vol. 5(1), pages 249-265, February.
    9. Steven A. Lippman & Kevin F. McCardle, 1997. "The Competitive Newsboy," Operations Research, INFORMS, vol. 45(1), pages 54-65, February.
    10. Mahmut Parlar, 1988. "Game theoretic analysis of the substitutable product inventory problem with random demands," Naval Research Logistics (NRL), John Wiley & Sons, vol. 35(3), pages 397-409, June.
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    Cited by:

    1. Gérard P. Cachon & Martin A. Lariviere, 1999. "Capacity Allocation Using Past Sales: When to Turn-and-Earn," Management Science, INFORMS, vol. 45(5), pages 685-703, May.
    2. Mei, Wanxia & Du, Li & Niu, Baozhuang & Wang, Jincheng & Feng, Jiejian, 2016. "The effects of an undisclosed regular price and a positive leadtime in a presale mechanism," European Journal of Operational Research, Elsevier, vol. 250(3), pages 1013-1025.

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