Schumpeterian Patterns of Innovation and the Sources of Breakthrough Inventions: Evidence from a Data-Set of R&D Awards
This paper examines the relationship between Schumpeterian patterns of innovation and the generation of breakthrough inventions. Our data source for breakthrough inventions is the “R&D 100 awards” competition organized each year by the magazine Research & Development. Since 1963, this magazine has been awarding this prize to 100 most technologically significant new products available for sale or licensing in the year preceding the judgment. We use instead USPTO patent data to measure the relevant dimensions of the technological regimes prevailing in each sector and, on this basis of this information, we provide a characterization of each sector in terms of the Schumpeter Mark I/Schumpeter Mark II archetypes. Our main finding is that breakthrough inventions are more likely to emerge in “turbulent” Schumpeter Mark I type of contexts.
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- Breschi, Stefano & Malerba, Franco & Orsenigo, Luigi, 2000. "Technological Regimes and Schumpeterian Patterns of Innovation," Economic Journal, Royal Economic Society, vol. 110(463), pages 388-410, April.
- Granstrand, O & Alange, S, 1995. "The Evolution of Corporate Entrepreneurship in Swedish Industry--Was Schumpeter Wrong?," Journal of Evolutionary Economics, Springer, vol. 5(2), pages 133-56, June.
- Michael P. Keane & Kenneth I. Wolpin, 1994.
"The solution and estimation of discrete choice dynamic programming models by simulation and interpolation: Monte Carlo evidence,"
181, Federal Reserve Bank of Minneapolis.
- Keane, Michael P & Wolpin, Kenneth I, 1994. "The Solution and Estimation of Discrete Choice Dynamic Programming Models by Simulation and Interpolation: Monte Carlo Evidence," The Review of Economics and Statistics, MIT Press, vol. 76(4), pages 648-72, November.
- V A Hajivassiliou & DL McFadden, 1997.
"The Method of Simulated Scores for the Estimation of LDV Models,"
STICERD - Econometrics Paper Series
/1997/328, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Vassilis A. Hajivassiliou & Daniel L. McFadden, 1998. "The Method of Simulated Scores for the Estimation of LDV Models," Econometrica, Econometric Society, vol. 66(4), pages 863-896, July.
- Vassilis A. Hajivassiliou & Daniel L. McFadden, 1993. "The Method of Simulated Scores for the Estimation of LDV Models," Working Papers _023, Yale University.
- Castellacci, Fulvio, 2007.
"Technological regimes and sectoral differences in productivity growth,"
27598, University Library of Munich, Germany.
- Fulvio Castellacci, 2007. "Technological regimes and sectoral differences in productivity growth ," Industrial and Corporate Change, Oxford University Press, vol. 16(6), pages 1105-1145, December.
- Orietta Marsili & Bart Verspagen, 2002. "Technology and the dynamics of industrial structures: an empirical mapping of Dutch manufacturing," Industrial and Corporate Change, Oxford University Press, vol. 11(4), pages 791-815, August.
- David M. Drukker & Richard Gates, 2006. "Generating Halton sequences using Mata," Stata Journal, StataCorp LP, vol. 6(2), pages 214-228, June.
- Malerba, Franco & Orsenigo, Luigi, 1997. "Technological Regimes and Sectoral Patterns of Innovative Activities," Industrial and Corporate Change, Oxford University Press, vol. 6(1), pages 83-117.
- Geweke, John, 1989. "Bayesian Inference in Econometric Models Using Monte Carlo Integration," Econometrica, Econometric Society, vol. 57(6), pages 1317-39, November.
- van Dijk, Machiel, 2000. "Technological Regimes and Industrial Dynamics: The Evidence from Dutch Manufacturing," Industrial and Corporate Change, Oxford University Press, vol. 9(2), pages 173-94, June.
- Scherer, F. M. & Harhoff, Dietmar, 2000. "Technology policy for a world of skew-distributed outcomes," Research Policy, Elsevier, vol. 29(4-5), pages 559-566, April.
- Corrocher, Nicoletta & Malerba, Franco & Montobbio, Fabio, 2007. "Schumpeterian patterns of innovative activity in the ICT field," Research Policy, Elsevier, vol. 36(3), pages 418-432, April.
- Malerba, Franco & Orsenigo, Luigi, 1995. "Schumpeterian Patterns of Innovation," Cambridge Journal of Economics, Oxford University Press, vol. 19(1), pages 47-65, February.
- Freeman, C., 1991. "Networks of innovators: A synthesis of research issues," Research Policy, Elsevier, vol. 20(5), pages 499-514, October.
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