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Mixed Market Structure and R &D: A Differential Game Approach

Author

Listed:
  • Akihiko Yanase

    (Nagoya University)

  • Ngo Van Long

    (McGill University)

Abstract

We consider a dynamic model of an industry consisting of a few large firms, which can manipulate the market outcome, and a mass of small enterprises, each of which has a negligible impact on the market. The production costs of the respective firms depend on the stock of knowledge capital, which accumulates over time through research and development (R &D) investment made by large firms. The model is a variant of the differential game of voluntary provision of public goods, but in contrast to previous studies, we focus on the interaction between market competition and dynamic game outcomes. We derive both open-loop and Markov-perfect Nash equilibria. There exists a unique open-loop Nash equilibrium. By contrast, depending on the parameters of the model, there can be two linear Markov-perfect Nash equilibria. We also examine the short- and long-run effects of a change in the number of large firms. An increase in the number of large firms unambiguously harms both types of firms in the short run but may benefit them in the long run. In the open-loop Nash equilibrium, the relationship between the number of large firms and the steady-state stock of knowledge capital is inverted-U shaped. Concerning the Markov-perfect Nash equilibria, the effect of increased competition from large firms depends on the specific feedback strategy chosen in equilibrium.

Suggested Citation

  • Akihiko Yanase & Ngo Van Long, 2024. "Mixed Market Structure and R &D: A Differential Game Approach," Dynamic Games and Applications, Springer, vol. 14(1), pages 97-132, March.
  • Handle: RePEc:spr:dyngam:v:14:y:2024:i:1:d:10.1007_s13235-023-00504-z
    DOI: 10.1007/s13235-023-00504-z
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    More about this item

    Keywords

    Dynamic voluntary provision of public goods; Cost-reducing R and D; Mixed market competition; Multiple equilibria; Competition and innovation;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
    • D43 - Microeconomics - - Market Structure, Pricing, and Design - - - Oligopoly and Other Forms of Market Imperfection
    • H41 - Public Economics - - Publicly Provided Goods - - - Public Goods
    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets

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