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Stochastic control model for R&D race in a mixed duopoly with spillovers and knowledge stocks

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  • Jingjing Wang
  • Chi Leung
  • Yue Kwok

Abstract

We consider the stochastic control model with finite time horizon for a mixed duopoly Research and Development (R&D) race between the profit-maximizing private firm and welfare-maximizing public firm. In our two-firm stochastic control R&D race model with input and output spillovers, the stochastic control variable is taken to be the private firm’s rate of R&D expenditure and the hazard rate of success of innovation has dependence on the R&D effort and knowledge stock. Given the fixed R&D effort of the public firm, the optimal control is determined so as to maximize the private firm’s value function subject to market uncertainty arising from the stochastic profit flow of the new innovative product. We conduct various sensitivity tests with varying model parameters to analyze the effects of input spillover, output spillover and knowledge stock on the optimal control policy and the value function of the profit-maximizing private firm. The R&D effort of the private firm is found to increase when the profit flow rate increases. Moreover, the optimal R&D effort level may decrease with increasing private firm’s knowledge stock and output spillover. The effects of input spillover on the optimal control policy and value function are seen to be relatively small. We examine the robustness of various observed phenomena of the two-firm R&D race with varying values of the fixed R&D effort of the public firm. With regard to public policy issue, we examine the level of the fixed public firm’s R&D effort so that social welfare is maximized. Copyright Springer-Verlag Italia 2015

Suggested Citation

  • Jingjing Wang & Chi Leung & Yue Kwok, 2015. "Stochastic control model for R&D race in a mixed duopoly with spillovers and knowledge stocks," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 38(2), pages 177-195, October.
  • Handle: RePEc:spr:decfin:v:38:y:2015:i:2:p:177-195
    DOI: 10.1007/s10203-015-0163-z
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    References listed on IDEAS

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    More about this item

    Keywords

    R&D races; Stochastic control models; Mixed duopoly; Spillovers; Knowledge stocks; C61; C73;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games

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