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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

    (National University of Singapore)

  • Johannes Van Biesebroeck

    (KU Leuven and CEPR)

Abstract

We specify and estimate a dynamic game to study the equilibrium relationship between market structure and innovation in the automobile industry. The quality of each firm’s product for the average consumer, the key state variable, is modeled as stochastically increasing in innovation, the dynamic control, which is proxied by patent applications. Equilibrium innovation is a function of market structure, the vector of quality levels of all active firms, and the cost of R&D. Our main findings are as follows: (a) optimal innovation has an inverted-U shape in own quality; (b) holding own quality constant, innovation is declining in average rival quality but increasing in quality dispersion; and (c) following entry, each incumbent’s innovation declines, but aggregate innovation increases in most market structures. These findings are broadly consistent with the Schumpeterian hypothesis that market power leads to more innovation.

Suggested Citation

  • Aamir Rafique Hashmi & Johannes Van Biesebroeck, 2016. "The Relationship between Market Structure and Innovation in Industry Equilibrium: A Case Study of the Global Automobile Industry," The Review of Economics and Statistics, MIT Press, vol. 98(1), pages 192-208, March.
  • Handle: RePEc:tpr:restat:v:98:y:2016:i:1:p:192-208
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    Citations

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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. 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, vol. 9(2), pages 257-286, March.
    3. Michael Peneder & Martin Woerter, 2014. "Competition, R&D and innovation: testing the inverted-U in a simultaneous system," Journal of Evolutionary Economics, Springer, vol. 24(3), pages 653-687, July.
    4. Georges Vivien Houngbonon & François Jeanjean, 2016. "What Level of Competition Intensity Maximises Investment in the Wireless Industry? ," Post-Print hal-01653797, HAL.
    5. 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.
    6. Geurts, Karen & Van Biesebroeck, Johannes, 2016. "Firm creation and post-entry dynamics of de novo entrants," International Journal of Industrial Organization, Elsevier, vol. 49(C), pages 59-104.
    7. Noton, Carlos, 2016. "Structural estimation of price adjustment costs in the European car market," International Journal of Industrial Organization, Elsevier, vol. 49(C), pages 105-147.
    8. Victor Aguirregabiria & Junichi Suzuki, 2014. "Identification and counterfactuals in dynamic models of market entry and exit," Quantitative Marketing and Economics (QME), Springer, vol. 12(3), pages 267-304, September.
    9. Adam Copeland & Adam Hale Shapiro, 2010. "The impact of competition on technology adoption: an apples-to-PCs analysis," Staff Reports 462, Federal Reserve Bank of New York.
    10. Coublucq, Daniel & Ivaldi, Marc & Mccullough, Gerard J., 2018. "The Static-Dynamic Efficiency Trade-off in the US Rail Freight Industry: Assessment of an Open Access Policy," TSE Working Papers 18-916, Toulouse School of Economics (TSE).
    11. Aamir Rafique Hashmi, 2013. "Competition and Innovation: The Inverted-U Relationship Revisited," The Review of Economics and Statistics, MIT Press, vol. 95(5), pages 1653-1668, December.
    12. Copeland, Adam & Shapiro, Adam Hale, 2013. "Price Setting in an Innovative Market," Working Paper Series 2013-04, Federal Reserve Bank of San Francisco.
    13. 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.
    14. 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.
    15. De Loecker, Jan & Van Biesebroeck, Johannes, 2016. "The effect of international competition on firm productivity and market power," CEPR Discussion Papers 11114, C.E.P.R. Discussion Papers.

    More about this item

    Keywords

    Competition; Innovation; Dynamic game; Schumpeter;

    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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