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How well do patent citations measure flows of technology? Evidence from French innovation surveys
Open accessAbstract
Patent citation data are used in a growing body of economics and business research on technological diffusion. Until now, there exists little evidence on whether patent citations are a good measure of knowledge flows. Our paper assesses the legitimacy of using European patent citations as a measure of technology flows. It uses information from the Community Innovation Survey collected by the French Service des Statistiques Industrielles (SESSI), which contain firms’ responses to questions about their innovative activity. We show that patent citations are indeed related to firms’ statements about their acquisition and dispersion of new technology, but that the strength and statistical significance of this relationship varies across geographical regions and across channels of knowledge diffusion.
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Cites
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Cited by
The innovation–economic growth nexus: Global evidence
Hasan, I., & Tucci, C. L. (2010) · Research Policy · doi:10.1016/j.respol.2010.07.005 · Cited by 496
Recruiting for Ideas: How Firms Exploit the Prior Inventions of New Hires
Singh, J., & Agrawal, A. (2011) · Management Science · doi:10.1287/mnsc.1100.1253 · Cited by 434
The technological origins of radical inventions
Schoenmakers, W., & Duysters, G. (2010) · Research Policy · doi:10.1016/j.respol.2010.05.013 · Cited by 357
Lens or Prism? Patent Citations as a Measure of Knowledge Flows from Public Research
Roach, M., & Cohen, W. M. (2013) · Management Science · doi:10.1287/mnsc.1120.1644 · Cited by 302
Prediction of emerging technologies based on analysis of the US patent citation network
Érdi, P., Makovi, K., Somogyvári, Z., Strandburg, K., Tobochnik, J., Volf, P., & Zalányi, L. (2013) · Scientometrics · doi:10.1007/s11192-012-0796-4 · Cited by 273
Metadata
- Authors
- Duguet, E., & MacGarvie, M.
- Venue
- Economics of Innovation and New Technology
- Publisher
- Informa UK Limited
- Published
- 2005-07
- Volume
- 14
- Issue
- 5
- Pages
- 375-393
- ISSN
- 1043-8599 (ISSN-L)
- 1476-8364
- OpenAlex
- W1589529420
- Cited by
- 266
- References
- 81
- FWCI
- 17.47
- Type
- journal article
- Language
- en
- Open access
- green
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- Duguet, E., & MacGarvie, M. (2005). How well do patent citations measure flows of technology? Evidence from French innovation surveys. Economics of Innovation and New Technology. https://doi.org/10.1080/1043859042000307347
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.