Schumpeterian patterns of innovation and the sources of breakthrough inventions: evidence from a data-set of R&D awards
AbstractThis 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 USPTO patent data to measure the relevant dimensions of the technological regime prevailing in each sector and, on this basis, 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. Copyright Springer-Verlag 2012
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Bibliographic InfoArticle provided by Springer in its journal Journal of Evolutionary Economics.
Volume (Year): 22 (2012)
Issue (Month): 4 (September)
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Other versions of this item:
- Roberto Fontana & Alessandro Nuvolari & Hiroshi Shimitzu & Andrea Vezzulli, 2012. "Schumpeterian Patterns of Innovation and the Sources of Breakthrough Inventions: Evidence from a Data-Set of R&D Awards," Working Papers Department of Economics 2012/24, ISEG - School of Economics and Management, Department of Economics, University of Lisbon.
- O31 - Economic Development, Technological Change, and Growth - - Technological Change; Research and Development; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
- O33 - Economic Development, Technological Change, and Growth - - Technological Change; Research and Development; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Castellacci, Fulvio, 2007. "Technological regimes and sectoral differences in productivity growth," MPRA Paper 27598, University Library of Munich, Germany.
- Freeman, C., 1991. "Networks of innovators: A synthesis of research issues," Research Policy, Elsevier, vol. 20(5), pages 499-514, October.
- 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.
- 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, 1995. "Schumpeterian Patterns of Innovation," Cambridge Journal of Economics, Oxford University Press, vol. 19(1), pages 47-65, February.
- 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.
- Vassilis A. Hajivassiliou & Daniel L. McFadden, 1998.
"The Method of Simulated Scores for the Estimation of LDV Models,"
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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Geweke, John, 1989. "Bayesian Inference in Econometric Models Using Monte Carlo Integration," Econometrica, Econometric Society, vol. 57(6), pages 1317-39, November.
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