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A Competition Game With Knowledge Accumulation And Spillovers

Author

Listed:
  • GIAN-ITALO BISCHI

    (Istituto di Scienze Economiche, Università di Urbino "Carlo Bo", via Saffi 42, I-61029 Urbino, Italy)

  • FABIO LAMANTIA

    (Dipartimento O.A.A.P., Facoltà di Economia, Università della Calabria, Via Pietro Bucci 3B-3C, I 87036, Arcavacata di Rende (CS), Italy)

Abstract

In this paper a repeated game is proposed to model competition among firms, with profit maximizing resource allocation. The proposed model differs from the usual competition models because efforts that players exert are not seen as sunk costs, but they accumulate to form a stock of knowledge that has a cost-reducing effect. In modelling knowledge accumulation, we also consider the (knowledge) spillovers, that is, involuntary leakage of useful technological information. The game withnboundedly rational agents is modelled by a2n-dimensional discrete dynamical system, whose state variables are theR&Defforts and the stock of accumulated knowledge of each firm involved in the competition. The model is characterized by some counteracting forces: Efforts are costly but can increase future profits; immediate expenditures of each firm can have cost-reducing effects in the long run, since accumulated knowledge can decrease both own costs and competitors' ones, because of spillover effects. In the case of two homogeneous firms we prove the existence of a unique equilibrium and its stability. Starting from these analytic results, numerical simulations are performed in order to study the effects induced by heterogeneities between the players on stability and transient dynamics, as well as the influence of the main parameters on the basins of attraction.

Suggested Citation

  • Gian-Italo Bischi & Fabio Lamantia, 2004. "A Competition Game With Knowledge Accumulation And Spillovers," International Game Theory Review (IGTR), World Scientific Publishing Co. Pte. Ltd., vol. 6(03), pages 323-341.
  • Handle: RePEc:wsi:igtrxx:v:06:y:2004:i:03:n:s0219198904000241
    DOI: 10.1142/S0219198904000241
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    Citations

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    Cited by:

    1. Bischi, Gian Italo & Lamantia, Fabio, 2012. "A dynamic model of oligopoly with R&D externalities along networks. Part I," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 84(C), pages 51-65.
    2. Song, Yan & Zhu, Jing & Yue, Qian & Zhang, Ming & Wang, Longke, 2023. "Industrial agglomeration, technological innovation and air pollution: Empirical evidence from 277 prefecture-level cities in China," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 240-252.
    3. Chu, Tong & Zhou, Wei, 2022. "Complex dynamics of R&D competition with one-way spillover based on intellectual property protection," Chaos, Solitons & Fractals, Elsevier, vol. 163(C).
    4. Dawid, Herbert & Heitmann, Dennis, 2014. "Best response dynamics with level-n expectations in two-stage games," Journal of Economic Dynamics and Control, Elsevier, vol. 41(C), pages 130-153.
    5. Fabio Lamantia & Anghel Negriu & Jan Tuinstra, 2018. "Technology choice in an evolutionary oligopoly game," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 41(2), pages 335-356, November.
    6. Lamantia, F. & Negriu, A. & Tuinstra, J., 2016. "Evolutionary Cournot competition with endogenous technology choice: (in)stability and optimal policy," CeNDEF Working Papers 16-08, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.

    More about this item

    Keywords

    Competition games; R&D; spillovers; dynamical systems; stability; oscillations; Subject Classification: 91A; Subject Classification: 91B; Subject Classification: 70K; Subject Classification: 70K20;
    All these keywords.

    JEL classification:

    • B4 - Schools of Economic Thought and Methodology - - Economic Methodology
    • C0 - Mathematical and Quantitative Methods - - General
    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • C7 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory
    • D5 - Microeconomics - - General Equilibrium and Disequilibrium
    • D7 - Microeconomics - - Analysis of Collective Decision-Making
    • M2 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics

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