Research Productivity in a System of Universities
AbstractThe focus of this paper is the research performance of a system of universities and sciences. Using data from the US during the 1980s we study the relationship between research output and R&D in 8 different fields of science We begin at the field level by examining the time series behavior of outputs measured by papers and citations in relation to R&D. At this level we find approximate parity between growth rates of papers and citations and the growth rate of R&D, except mathematics and agriculture, which diverge from parity in opposite directions, suggesting the predominance of a CRS production process for new scientific results. We then conduct an analysis at the university and field using small samples of leading U.S. research universities. We find returns to R&D are diminishing in nearly every case. One explanation points to the importance of research spillovers between universities and fields which are excluded at the university level but not at the system level, another is that errors in R&D are more important at the university level. The errors arise from misclassification of R&D by university and field. These explanations emphasize the relevance of research spillovers and of the system-wide aspects of university research, and pinpoint the sources of failings of current data on science resource. In addition we explore some efficiency aspects of the university system. Our findings suggest that leading schools have lower average and marginal costs of performing research than lesser institutions, and that leading institutions have a comparative advantage at generating higher quality, more highly cited research. In our comparisons of private and public institutions the results are not as one-sided, yet they suggest that private schools have a comparative advantage at generating more highly cited research.
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 National Bureau of Economic Research, Inc in its series NBER Working Papers with number 5833.
Date of creation: Nov 1996
Date of revision:
Contact details of provider:
Postal: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.
Web page: http://www.nber.org
More information through EDIRC
Other versions of this item:
- D3 - Microeconomics - - Distribution
- L3 - Industrial Organization - - Nonprofit Organizations and Public Enterprise
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.:
- 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.
- Evenson, Robert E & Kislev, Yoav, 1976. "A Stochastic Model of Applied Research," Journal of Political Economy, University of Chicago Press, vol. 84(2), pages 265-81, April.
- Paula E. Stephan, 1996. "The Economics of Science," Journal of Economic Literature, American Economic Association, vol. 34(3), pages 1199-1235, September.
This item has more than 25 citations. To prevent cluttering this page, these citations are listed on a separate page. reading list or among the top items on IDEAS.Access and download statisticsgeneral 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.