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Innovation dynamics and endogenous market structure: econometric results from aggregated survey data

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  • Gottschalk, Sandra
  • Janz, Norbert

Abstract

This paper examines empirically the relationship between innovation and market structure within a simultaneous framework at the industry level of aggregation. We use a model in which R&D affects both, demand and cost conditions. An optimization process leads to optimal industry R&D expenditure and market structure in a symmetric equilibrium. The model is applied to a newly constructed panel for Germany. Generalized Method of Moments (GMM) estimation techniques for dynamic panel data systems are used to estimate the parameters of interest. We found a positive long?run effect of R&D on markets? sales concentration. In contrast, competition enforces innovation, i.e. sales concentration has a negative impact on R&D. --

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Bibliographic Info

Paper provided by ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research in its series ZEW Discussion Papers with number 01-39.

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Date of creation: 2001
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Handle: RePEc:zbw:zewdip:5394

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Related research

Keywords: innovation; R&D; market structure; panel data; dynamic models; applied econometrics;

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References

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  1. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-54, July.
  2. Harhoff, Dietmar, 1997. "Innovationsanreize in einem strukturellen Oligopolmodel," ZEW Discussion Papers 97-16, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  3. Whitney K. Newey & Kenneth D. West, 1986. "A Simple, Positive Semi-Definite, Heteroskedasticity and AutocorrelationConsistent Covariance Matrix," NBER Technical Working Papers 0055, National Bureau of Economic Research, Inc.
  4. Richard Levin & Peter C. Reiss, 1984. "Tests of a Schumpeterian Model of R&D and Market Structure," NBER Chapters, in: R & D, Patents, and Productivity, pages 175-208 National Bureau of Economic Research, Inc.
  5. Lee, Tom & Wilde, Louis L, 1980. "Market Structure and Innovation: A Reformulation," The Quarterly Journal of Economics, MIT Press, vol. 94(2), pages 429-36, March.
  6. Holtz-Eakin, Douglas, 1988. "Testing for individual effects in autoregressive models," Journal of Econometrics, Elsevier, vol. 39(3), pages 297-307, November.
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Cited by:
  1. Rammer, Christian & Costard, Jano & Seliger, Florian & Schubert, Torben, 2008. "Bestimmungsgründe des Innovationserfolgs von baden-württembergischen KMU," ZEW Dokumentationen 08-05, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  2. Wittkopp, Antje, 2002. "Marktstruktur, Innovationsaktivität und Profitabilität der deutschen Ernährungswirtschaft: Das Beispiel Functional Food," FE Working Papers 0205, Christian-Albrechts-University of Kiel, Department of Food Economics and Consumption Studies.
  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. Katja Görlitz & Joel Stiebale, 2011. "The Impact of Product Market Competition on Employers’ Training Investments. Evidence from German Establishment Panel Data," De Economist, Springer, vol. 159(1), pages 1-23, March.
  5. Spyros Arvanitis & Juliette von Arx, 2004. "Innovation und Wettbewerb – Eine Analyse aufgrund von schweizerischen Unternehmensdaten," KOF Working papers 04-84, KOF Swiss Economic Institute, ETH Zurich.

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