How Rapidly Does Science Leak Out?
In science as well as technology, the diffusion of new ideas influences innovation and productive efficiency. With this as motivation we use citations to scientific papers to measure the diffusion of science through the U.S. economy. To indicate the speed of diffusion we rely primarily on the modal or most frequent lag. Using this measure we find that diffusion between universities as well as between firms and universities takes an average of three years. The lag on science diffusion between firms is 3.3 years, compared with 4.8 years in technology for the same companies using the same methodology. Industrial science diffuses fifty per cent more rapidly than technology, and academic science diffuses still faster. Thus the priority publication system in science appears to distribute information more rapidly than the patent system, although other interpretations are possible. We also find that the speed of science diffusion in the same field varies by a factor of two across industries. The industry variation turns out to be driven by frictional publication lags and firm size in R&D and science. Friction increases the lag, but firm size in R&D and science decrease it. Industries having a lot of R&D or science and composed of fields with little friction exhibit rapid diffusion. Industries where the reverse is true exhibit slow diffusion.
|Date of creation:||Jan 2006|
|Date of revision:|
|Contact details of provider:|| Postal: |
Web page: http://www.nber.org
More information through EDIRC
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.:
- Dearden, James & Ickes, Barry W & Samuelson, Larry, 1990.
"To Innovate or Not to Innovate: Incentives and Innovation in Hierarchies,"
American Economic Review,
American Economic Association, vol. 80(5), pages 1105-24, December.
- Dearden, J. & Ickes, B.W. & Samuelson, L., 1988. "To Innovate Or Not To Innovate: Incentives And Innovation In Hierarchies," Papers 9-88-4, Pennsylvania State - Department of Economics.
- Dearden, J. & Ickes, B.W. & Samuelson, L., 1988. "To Innovate Or Not To Innovate: Incentives And Innovation In Hierarchies," Papers 0-88-1, Pennsylvania State - Department of Economics.
- Suzanne Scotchmer, 1991. "Standing on the Shoulders of Giants: Cumulative Research and the Patent Law," Journal of Economic Perspectives, American Economic Association, vol. 5(1), pages 29-41, Winter.
- Giovanni Peri, 2005. "Determinants of Knowledge Flows and Their Effect on Innovation," The Review of Economics and Statistics, MIT Press, vol. 87(2), pages 308-322, May.
- Bronwyn Hall & Fumio Hayashi, 1989.
"Research and Development As An Investment,"
NBER Working Papers
2973, National Bureau of Economic Research, Inc.
- Bronwyn H. Hall and Fumio Hayashi., 1989. "Research and Development as an Investment," Economics Working Papers 89-108, University of California at Berkeley.
- Hall, Bronwyn H. & Hayashi, Fumio, 1989. "Research and Development as an Investment," Department of Economics, Working Paper Series qt8br8d266, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
- Audretsch, David B & Stephan, Paula E, 1996. "Company-Scientist Locational Links: The Case of Biotechnology," American Economic Review, American Economic Association, vol. 86(3), pages 641-52, June.
- Glenn Ellison, 2000.
"Evolving Standards for Academic Publishing: A q-r Theory,"
NBER Working Papers
7805, National Bureau of Economic Research, Inc.
- Glenn Ellison, 2002. "Evolving Standards for Academic Publishing: A q-r Theory," Journal of Political Economy, University of Chicago Press, vol. 110(5), pages 994-1034, October.
- Lee Branstetter & Yoshiaki Ogura, 2005. "Is Academic Science Driving a Surge in Industrial Innovation? Evidence from Patent Citations," NBER Working Papers 11561, National Bureau of Economic Research, Inc.
- David Popp, 2002. "Induced Innovation and Energy Prices," American Economic Review, American Economic Association, vol. 92(1), pages 160-180, March.
- Rebecca Henderson & Iain Cockburn, .
"Scale, Scope and Spillovers: The Determinants of Research Productivity in Drug Discovery,"
ec25/94, Department of Economics, University of Lancaster.
- Rebecca Henderson & Iain Cockburn, 1996. "Scale, Scope, and Spillovers: The Determinants of Research Productivity in Drug Discovery," RAND Journal of Economics, The RAND Corporation, vol. 27(1), pages 32-59, Spring.
- Zucker, Lynne G & Darby, Michael R & Brewer, Marilynn B, 1998. "Intellectual Human Capital and the Birth of U.S. Biotechnology Enterprises," American Economic Review, American Economic Association, vol. 88(1), pages 290-306, March.
- Richard C. Levin & Alvin K. Klevorick & Richard R. Nelson & Sidney G. Winter, 1988. "Appropriating the Returns from Industrial R&D," Cowles Foundation Discussion Papers 862, Cowles Foundation for Research in Economics, Yale University.
- Wesley M. Cohen & Richard R. Nelson & John P. Walsh, 2002. "Links and Impacts: The Influence of Public Research on Industrial R&D," Management Science, INFORMS, vol. 48(1), pages 1-23, January.
- Richard R. Nelson & Edmond S. Phelps, 1965. "Investment in Humans, Technological Diffusion and Economic Growth," Cowles Foundation Discussion Papers 189, Cowles Foundation for Research in Economics, Yale University.
- Adams, James D, 1990. "Fundamental Stocks of Knowledge and Productivity Growth," Journal of Political Economy, University of Chicago Press, vol. 98(4), pages 673-702, August.
When requesting a correction, please mention this item's handle: RePEc:nbr:nberwo:11997. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ()
If references are entirely missing, you can add them using this form.