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Dynamic R&D incentives with network externalities

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  • Cerquera Dussán, Daniel

Abstract

This paper studies the incentives to undertake uncertain R&D initiatives in a dynamic duopoly network industry. It is shown that network externalities positively affect the incentives to invest in R&D. In the model, competition resembles a preemption race and, therefore, market performance implies an overinvestment in R&D in comparison with the social optimum. Moreover, network externalities have an important impact in the dynamic evolution of the industry. Although in the long-run a single firm dominates the market (i.e. wins the race), short-run competition is very fierce and concentrated on neck-and-neck technological configurations. This short-run competition is fiercer and longer, the higher the level of network externalities. Policy measures that increase technological diffusion (i.e. mandatory licensing), increase the level of competition and/or prolong the short-run competition have an important positive impact on consumer welfare and on firms? R&D incentives.

Suggested Citation

  • Cerquera Dussán, Daniel, 2006. "Dynamic R&D incentives with network externalities," ZEW Discussion Papers 06-094, ZEW - Leibniz Centre for European Economic Research.
  • Handle: RePEc:zbw:zewdip:5487
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    More about this item

    Keywords

    Network externalities; Innovation; Imperfect Competition; Dynamic Games;
    All these keywords.

    JEL classification:

    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation

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