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 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.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by ISEG - School of Economics and Management, Department of Economics, University of Lisbon in its series Working Papers Department of Economics with number 2012/24.
Date of creation: Jul 2012
Date of revision:
Contact details of provider:
Postal: Department of Economics, ISEG - School of Economics and Management, University of Lisbon, Rua do Quelhas 6, 1200-781 LISBON, PORTUGAL
Web page: https://aquila1.iseg.ulisboa.pt/aquila/departamentos/EC
Other versions of this item:
- Roberto Fontana & Alessandro Nuvolari & Hiroshi Shimizu & Andrea Vezzulli, 2012. "Schumpeterian patterns of innovation and the sources of breakthrough inventions: evidence from a data-set of R&D awards," Journal of Evolutionary Economics, Springer, vol. 22(4), pages 785-810, September.
- 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
This paper has been announced in the following NEP Reports:
- NEP-ALL-2012-08-23 (All new papers)
- NEP-INO-2012-08-23 (Innovation)
- NEP-IPR-2012-08-23 (Intellectual Property Rights)
- NEP-KNM-2012-08-23 (Knowledge Management & Knowledge Economy)
- NEP-TID-2012-08-23 (Technology & Industrial Dynamics)
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.:
- 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.
- David M. Drukker & Richard Gates, 2006. "Generating Halton sequences using Mata," Stata Journal, StataCorp LP, vol. 6(2), pages 214-228, 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, 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.
- 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.
- 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.
- 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.
- Castellacci, Fulvio, 2007. "Technological regimes and sectoral differences in productivity growth," MPRA Paper 27598, University Library of Munich, Germany.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Vitor Escaria).
If references are entirely missing, you can add them using this form.