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The relationship between market structure and innovation in industry equilibrium: a case study of the global automobile industry

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  • Aamir Rafique HASHMI
  • Johannes VAN BIESEBROECK

Abstract

We first estimate a dynamic game for the global automobile industry and then compute a Markov Perfect equilibrium to study the equilibrium relationship between market structure and innovation. The key state variable in the model is the efficiency level of each firm and the market structure is characterized by the vector of efficiency levels across all firms. Efficiency is estimated to be stochastically increasing in the dynamic control-innovation-which is proxied by patenting behavior. Equilibrium innovation is a function of all state variables in the industry and the cost of R&D which includes a privately observed cost shock. We find that it exhibits the following patterns: 1) innovation by the industry leader is decreasing in the efficiency of other firms; 2) innovation is decreasing in the efficiency dispersion; 3) innovation is more concentrated that efficiency; 4) innovation is declining in the number of active firms; 5) the innovation gap between the leader and other firms increases with competition.

Suggested Citation

  • Aamir Rafique HASHMI & Johannes VAN BIESEBROECK, 2012. "The relationship between market structure and innovation in industry equilibrium: a case study of the global automobile industry," Working Papers Department of Economics ces12.01, KU Leuven, Faculty of Economics and Business, Department of Economics.
  • Handle: RePEc:ete:ceswps:ces12.01
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    Cited by:

    1. Victor Aguirregabiria & Victor Aguirregabiria & Aviv Nevo & Aviv Nevo, 2010. "Recent Developments in Empirical IO: Dynamic Demand and Dynamic Games," Working Papers tecipa-419, University of Toronto, Department of Economics.
    2. Michael Peneder & Martin Wörter, 2013. "Competition, R&D and Innovation: Testing the Inverted-U in a Simultaneous System," WIFO Working Papers 448, WIFO.
    3. Noton, Carlos, 2016. "Structural estimation of price adjustment costs in the European car market," International Journal of Industrial Organization, Elsevier, pages 105-147.
    4. Karen GEURTS & Johannes VAN BIESEBROECK, 2014. "Job creation, firm creation, and de novo entry," Working Papers Department of Economics ces14.25, KU Leuven, Faculty of Economics and Business, Department of Economics.
    5. Aamir Rafique Hashmi, 2013. "Competition and Innovation: The Inverted-U Relationship Revisited," The Review of Economics and Statistics, MIT Press, pages 1653-1668.
    6. Victor Aguirregabiria & Junichi Suzuki, 2014. "Identification and counterfactuals in dynamic models of market entry and exit," Quantitative Marketing and Economics (QME), Springer, pages 267-304.
    7. Georges Vivien Houngbonon & François Jeanjean, 2016. "What Level of Competition Intensity Maximises Investment in the Wireless Industry? ," Post-Print hal-01653797, HAL.
    8. Jan De Loecker & Johannes Van Biesebroeck, 2016. "Effect of International Competition on Firm Productivity and Market Power," NBER Working Papers 21994, National Bureau of Economic Research, Inc.
    9. Daiya Isogawa & Hiroshi Ohashi, 2013. "Quantitative Policy Analysis of Innovation Activities: Application to Dynamic Structural Estimation," Public Policy Review, Policy Research Institute, Ministry of Finance Japan, pages 257-286.
    10. REYNAERT, Mathias, 2014. "Abatement strategies and the cost of environmental regulation: Emission standards on the European car market," Working Papers 2014025, University of Antwerp, Faculty of Applied Economics.
    11. Geurts, Karen & Van Biesebroeck, Johannes, 2016. "Firm creation and post-entry dynamics of de novo entrants," International Journal of Industrial Organization, Elsevier, pages 59-104.
    12. Victor Aguirregabiria & Junichi Suzuki, 2014. "Identification and counterfactuals in dynamic models of market entry and exit," Quantitative Marketing and Economics (QME), Springer, pages 267-304.
    13. Adam Copeland & Adam Hale Shapiro, 2010. "The Impact of Competition on Technology Adoption: An Apples-to-PCs Analysis," BEA Working Papers 0063, Bureau of Economic Analysis.
    14. Gelain, Paolo & Lansing, Kevin J., 2014. "House prices, expectations, and time-varying fundamentals," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 3-25.
    15. Johannes Van Biesebroeck, 2010. "Bidding for Investment Projects: Smart Public Policy or Corporate Welfare?," Canadian Public Policy, University of Toronto Press, vol. 36(s1), pages 31-48, April.
    16. Adam Hale Shapiro & Adam Copeland, 2010. "The Impact of Competition on Technology Adoption: An Apples-to-PCs Analysis," 2010 Meeting Papers 181, Society for Economic Dynamics.
    17. Zhao, Wei, 2013. "Estimating Dynamic Merger Effciencies with an Application to the 1997 Boeing-McDonnell Douglas Merger," MPRA Paper 63184, University Library of Munich, Germany, revised 11 Sep 2014.
    18. Michael Peneder & Martin Woerter, 2014. "Competition, R&D and innovation: testing the inverted-U in a simultaneous system," Journal of Evolutionary Economics, Springer, pages 653-687.

    More about this item

    JEL classification:

    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
    • L62 - Industrial Organization - - Industry Studies: Manufacturing - - - Automobiles; Other Transportation Equipment; Related Parts and Equipment
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives

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