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The Agricultural Knowledge Production Function: An Empirical Look

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  • Pardey, Philip G

Abstract

The research input-output relationship is quantified by use of a unique panel data set of research expenditures (1963-75) and aggregate publication output (1970-75) for each of the 48 contiguous U.S. state agricultural experiment station. Year-to-year fluctuations in research expenditures showed little systematic influence on research output, while on-average or longer-run differences in research expenditures between states appear to influence research performance in a fairly systematic manner. Using citation performance to adjust publication output for differences in scientific quality increases the research expenditure output elasticity by around 25 percent, while also increasing the "mean" agricultural research gestation lag from 2.8 to 3.4 years. Residual state-specific effects, measuring relative research efficiencies, do not appear to be correlated with levels of research expenditures. Copyright 1989 by MIT Press.

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  • Pardey, Philip G, 1989. "The Agricultural Knowledge Production Function: An Empirical Look," The Review of Economics and Statistics, MIT Press, vol. 71(3), pages 453-461, August.
  • Handle: RePEc:tpr:restat:v:71:y:1989:i:3:p:453-61
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    Cited by:

    1. David E. Weinstein, 1997. "Foreign Direct Investment and Keiretsu: Rethinking U.S. and Japanese Policy," NBER Chapters,in: The Effects of U.S. Trade Protection and Promotion Policies, pages 81-116 National Bureau of Economic Research, Inc.
    2. Paul Heisey & Sarah Adelman, 2011. "Research expenditures, technology transfer activity, and university licensing revenue," The Journal of Technology Transfer, Springer, vol. 36(1), pages 38-60, February.
    3. Lee, Yoo Hwan & Graff, Gregory D., 2015. "University Research Productivity and its Impact on the Regional Agricultural Economy: The Case of Colorado State University and the Colorado Economy," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205443, Agricultural and Applied Economics Association;Western Agricultural Economics Association.
    4. Atul Nerkar, 2003. "Old Is Gold? The Value of Temporal Exploration in the Creation of New Knowledge," Management Science, INFORMS, pages 211-229.
    5. Qin, Lin & Buccola, Steven T., 2012. "Econometric Assessment of Research Programs: A Bayesian Approach," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124948, Agricultural and Applied Economics Association.
    6. Pardey, Philip G. & Craig, Barbara & Hallaway, Michelle L., 1989. "U.S. agricultural research deflators: 1890-1985," Research Policy, Elsevier, pages 289-296.
    7. Jens K. Perret, 2016. "A Spatial Knowledge Production Function Approach for the Regions of the Russian Federation," EIIW Discussion paper disbei217, Universit├Ątsbibliothek Wuppertal, University Library.
    8. James Adams & Zvi Griliches, 1996. "Measuring Science: An Exploration," Harvard Institute of Economic Research Working Papers 1749, Harvard - Institute of Economic Research.
    9. Lee, Yoo Hwan & Graff, Gregory D., 2016. "Academic Knowledge Spillovers and the Role of Geographic Proximity in Regional Agriculture-related Sectors: The impact of agricultural research at Colorado State University on the Colorado economy, an," 2016 Annual Meeting, July 31-August 2, 2016, Boston, Massachusetts 235717, Agricultural and Applied Economics Association.
    10. Hock, Cricket & Naseem, Anwar & Hossain, Ferdaus & Pray, Carl E., 2003. "Impact of Biotechnology on Plant Breeding," 2003 Annual meeting, July 27-30, Montreal, Canada 22093, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

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