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

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  • Aamir Rafique Hashmi
  • Johannes Van Biesebroeck

Abstract

We study the relationship between market structure and innovation in the global automobile industry from 1982 to 2004 using the dynamic industry framework of Ericson and Pakes (1995). Firms optimally choose a continuous level of innovation in a strategic and forward-looking manner, while anticipating the possibility of future mergers. We show that our estimated model predicts the data well and that changes in the modeling assumptions have a predictable effect on the key dynamic parameter -- the cost of innovation. In terms of the relationship between market structure and innovation, we find that: (1) At the firm level, there is a weakly positive relationship between a firm's price-cost margin and its innovation intensity; (2) There is no relationship between competition and innovation at the industry level in the steady state. As the industry goes through a consolidation phase, the relationship is negative if competition is measured by the inverse of markups and positive if it is measured by the inverse of concentration; (3) A key determinant of a firm's innovation intensity is its relative position in the industry in terms of knowledge stock.

Suggested Citation

  • Aamir Rafique Hashmi & Johannes Van Biesebroeck, 2010. "Market Structure and Innovation: A Dynamic Analysis of the Global Automobile Industry," NBER Working Papers 15959, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:15959 Note: IO PR
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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, pages 653-687.
    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. 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.
    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, vol. 12(3), pages 267-304, September.
    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, vol. 9(2), pages 257-286, March.
    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. 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.
    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.

    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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