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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.

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Bibliographic Info

Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 15959.

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Date of creation: May 2010
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Handle: RePEc:nbr:nberwo:15959

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Citations

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Cited by:
  1. Aamir Rafique Hashmi, 2011. "Competition and Innovation: The Inverted-U Relationship Revisited," Departmental Working Papers, National University of Singapore, Department of Economics wp1101, National University of Singapore, Department of Economics.
  2. 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.
  3. Aguirregabiria, Victor & Nevo, Aviv, 2010. "Recent developments in empirical IO: dynamic demand and dynamic games," MPRA Paper 27814, University Library of Munich, Germany.
  4. Victor Aguirregabiria & Junichi Suzuki, 2013. "Identification and Counterfactuals in Dynamic Models of Market Entry and Exit," Working Papers tecipa-475, University of Toronto, Department of Economics.
  5. Michael Peneder & Martin Woerter, 2014. "Competition, R&D and innovation: testing the inverted-U in a simultaneous system," Journal of Evolutionary Economics, Springer, Springer, vol. 24(3), pages 653-687, July.
  6. Adam Copeland & Adam Hale Shapiro, 2010. "The impact of competition on technology adoption: an apples-to-PCs analysis," Staff Reports, Federal Reserve Bank of New York 462, Federal Reserve Bank of New York.
  7. 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, Policy Research Institute, Ministry of Finance Japan, vol. 9(2), pages 257-286, March.
  8. Adam Copeland & Adam Hale Shapiro, 2013. "Price setting in an innovative market," Working Paper Series, Federal Reserve Bank of San Francisco 2013-04, Federal Reserve Bank of San Francisco.

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