The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Identifying Technology Spillovers and Product Market Rivalry
Open accessAbstract
Support for R&D subsidies relies on empirical evidence that R&D "spills over" between firms.But firm performance is affected by two countervailing R&D spillovers: positive effects from technology spillovers and negative business stealing effects from R&D by product market rivals.We develop a general framework showing that technology and product market spillovers have testable implications for a range of performance indicators, and then exploit these using distinct measures of a firm's position in technology space and product market space.Using panel data on U.S. firms between 1980 and 2001 we show that both technology and product market spillovers operate, but technology spillovers quantitatively dominate.The spillover effects are also present when we analyze three high tech sectors in finer detail.Using the model we evaluate the net spillovers from three alternative R&D subsidy policies.
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Cites
Initial conditions and moment restrictions in dynamic panel data models
Blundell, R., & Bond, S. (1998) · Journal of Econometrics · doi:10.1016/s0304-4076(98)00009-8 · Cited by 22,571
Initial conditions and moment restrictions in dynamic panel data models
Blundell, R., & Bond, S. (1995) · Working Paper Series · doi:10.1920/wp.ifs.1995.9517 · Cited by 14,755
Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations
Jaffe, A. B., Trajtenberg, M., & Henderson, R. (1993) · The Quarterly Journal of Economics · doi:10.2307/2118401 · Cited by 7,791
“A Model of Growth: Through Creative Destruction”
Aghion, P., & Howitt, P. (1992) · Econometrica · doi:10.2307/2951599 · Cited by 7,529
The NBER Patent Citation Data File: Lessons, Insights and Methodological Tools
Hall, B., Jaffe, A., & Trajtenberg, M. (2001) · National Bureau of Economic Research · doi:10.3386/w8498 · Cited by 3,507
Competition and Innovation: An Inverted U Relationship
Aghion, P., Bloom, N., Blundell, R. W., Griffith, R., & Howitt, P. (2004) · SSRN Electronic Journal · doi:10.2139/ssrn.1306944 · Cited by 2,117
Self-citationGeographic Concentration in U.S. Manufacturing Industries: A Dartboard Approach
Ellison, G., & Glaeser, E. L. (1997) · Journal of Political Economy · doi:10.1086/262098 · Cited by 2,112
Patent Quality and Research Productivity: Measuring Innovation with Multiple Indicators
Lanjouw, J. O., & Schankerman, M. (2004) · The Economic Journal · doi:10.1111/j.1468-0297.2004.00216.x · Cited by 1,392
Self-citationIdeological Segregation Online and Offline *
Gentzkow, M., & Shapiro, J. M. (2011) · The Quarterly Journal of Economics · doi:10.1093/qje/qjr044 · Cited by 980
Cost Reduction, Competition and Industry Performance
Spence, M. (1986) · New Developments in the Analysis of Market Structure · doi:10.1007/978-1-349-18058-5_16 · Cited by 895
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Teece, D. J. (2018) · Research Policy · doi:10.1016/j.respol.2017.01.015 · Cited by 1,767
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Self-citationIdentifying Agglomeration Spillovers: Evidence from Winners and Losers of Large Plant Openings
Greenstone, M., Hornbeck, R., & Moretti, E. (2010) · Journal of Political Economy · doi:10.1086/653714 · Cited by 1,138
Corporate Innovations and Mergers and Acquisitions
BENA, J., & LI, K. (2014) · The Journal of Finance · doi:10.1111/jofi.12059 · Cited by 869
What Affects Innovation More: Policy or Policy Uncertainty?
Bhattacharya, U., Hsu, P.-H., Tian, X., & Xu, Y. (2017) · Journal of Financial and Quantitative Analysis · doi:10.1017/s0022109017000540 · Cited by 648
Metadata
- Authors
- Bloom, N., Schankerman, M., & Van Reenen, J.
- Venue
- National Bureau of Economic Research
- Publisher
- National Bureau of Economic Research
- Published
- 2007-04
- OpenAlex
- W2794361884
- Cited by
- 621
- References
- 17
- Type
- report
- Language
- en
- Open access
- green
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