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Links and Impacts: The Influence of Public Research on Industrial R&D
Abstract
In this paper, we use data from the Carnegie Mellon Survey on industrial R&D to evaluate for the U.S. manufacturing sector the influence of “public”(i.e., university and government R&D lab) research on industrial R&D, the role that public research plays in industrial R&D, and the pathways through which that effect is exercised. We find that public research is critical to industrial R&D in a small number of industries and importantly affects industrial R&D across much of the manufacturing sector. Contrary to the notion that university research largely generates new ideas for industrial R&D projects, the survey responses demonstrate that public research both suggests new R&D projects and contributes to the completion of existing projects in roughly equal measure overall. The results also indicate that the key channels through which university research impacts industrial R&D include published papers and reports, public conferences and meetings, informal information exchange, and consulting. We also finnd that, after controlling for industry, the influence of public research on industrial R&D is disproportionately greater for larger firms as well as start-ups.
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(2010) · Cited by 1,886
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Alcácer, J., & Chung, W. (2007) · Management Science · doi:10.1287/mnsc.1060.0637 · Cited by 805
Roach, M., & Sauermann, H. (2010) · Research Policy · doi:10.1016/j.respol.2010.01.004 · Cited by 520
Mowery, D. C., & Sampat, B. N. (2005) · Essays in Honor of Edwin Mansfield · doi:10.1007/0-387-25022-0_18 · Cited by 435
Metadata
- Authors
- Cohen, W. M., Nelson, R. R., & Walsh, J. P.
- Venue
- Management Science
- Published
- 2002-01
- Volume
- 48
- Issue
- 1
- Pages
- 1-23
- ISSN
- 0025-1909 (ISSN-L)
- 1526-5501
- OpenAlex
- W2108238076
- Cited by
- 2,269
- References
- 1
- FWCI
- 82.34
- Type
- journal article
- Language
- en
- Open access
- closed
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- Cohen, W. M., Nelson, R. R., & Walsh, J. P. (2002). Links and Impacts: The Influence of Public Research on Industrial R&D. Management Science. https://doi.org/10.1287/mnsc.48.1.1.14273
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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.