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Market Structure and Innovation: A Dynamic Analysis of the Global Automobile Industry

Author

Listed:
  • Johannes Van Biesebroeck

    (University of Toronto)

  • Aamir Hashmi

    (University of Toronto)

Abstract

Since the global auto industry has seen a lot of consolidation since 1980, mergers are an important ingredient of our model. After estimating the parameters of the model, we simulate the industry forward and study how changing market structure (mainly due to mergers) affects innovative activity at the firm as well as the industry level. Our findings are the following. (1) The effect of market structure on innovation in the global auto industry depends on the initial state of the industry. If the industry is not very concentrated, as it was in 1980, some consolidation may increase the innovative activity. However, if the industry is already concentrated, as in 2005, further consolidation may reduce the innovation incentives. (2) Mergers reduce the value of merging firms though they may increase the aggregate value of the industry. (3) Mergers between big firms eventually reduce consumers’ utility.

Suggested Citation

  • Johannes Van Biesebroeck & Aamir Hashmi, 2007. "Market Structure and Innovation: A Dynamic Analysis of the Global Automobile Industry," 2007 Meeting Papers 362, Society for Economic Dynamics.
  • Handle: RePEc:red:sed007:362
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    References listed on IDEAS

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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. 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.
    3. 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.
    4. Georges Vivien Houngbonon & François Jeanjean, 2016. "What level of competition intensity maximises investment in the wireless industry?," Post-Print halshs-01510421, HAL.
    5. 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.
    6. 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.
    7. Copeland, Adam & Shapiro, Adam Hale, 2013. "Price Setting in an Innovative Market," Working Paper Series 2013-04, Federal Reserve Bank of San Francisco.
    8. 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.

    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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