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The Agricultural Knowledge Production Function: An Empirical Look

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  • Pardey, Philip G.

Abstract

Economic analysis of the process of technical change has often involved macro-level studies of its causes and consequences. Relatively little attention has been given to the, more fundamental knowledge generation process itself. This stems in large part from the real difficulties of obtaining appropriate indicators of research output. The view that there exists a systematic relationship between research expenditures and knowledge increments has been taken up by numerous authors including Evenson (1968), Minasian (1969), Pakes (1978), Gri1iches (1979), and Kamien and Schwartz (1982). It follows naturally from the perception that, in general, science progresses by a sequence of marginal improvements rather than a series of discrete and essentially sporadic breakthroughs (see Burke [1978). Recent studies by Pakes and Gri1iches (1980), Hausman et a1. (1981), and Hall et a1. (1984) have sought direct estimates of the research input-output relationship for research performed by private firms in the non-agricultural sector. To date there appears to be no similar analysis of the public sector agricultural research process. The study reported here represents a first step in this direction. It develops some quantifiable indicators of agricultural knowledge production by the U.S. public sector research system and will also attempt to provide some clues as to the nature of the agricultural research spending-research output relationship.

Suggested Citation

  • Pardey, Philip G., 1987. "The Agricultural Knowledge Production Function: An Empirical Look," Evaluating Agricultural Research and Productivity, Proceedings of a Workshop, Atlanta, Georgia, January 29-30, 1987, Miscellaneous Publication 52 50022, University of Minnesota, Agricultural Experiment Station.
  • Handle: RePEc:ags:umae52:50022
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    References listed on IDEAS

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    1. Pakes, Ariel & Nitzan, Shmuel, 1983. "Optimum Contracts for Research Personnel, Research Employment, and the Establishment of "Rival" Enterprises," Journal of Labor Economics, University of Chicago Press, vol. 1(4), pages 345-365, October.
    2. Guttman, Joel M, 1978. "Interest Groups and the Demand for Agricultural Research," Journal of Political Economy, University of Chicago Press, vol. 86(3), pages 467-484, June.
    3. Pakes, Ariel & Griliches, Zvi, 1980. "Patents and R&D at the firm level: A first report," Economics Letters, Elsevier, vol. 5(4), pages 377-381.
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    5. Wright, Brian Davern, 1983. "The Economics of Invention Incentives: Patents, Prizes, and Research Contracts," American Economic Review, American Economic Association, vol. 73(4), pages 691-707, September.
    6. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 38(2), pages 112-134.
    7. Hansen, W Lee & Weisbrod, Burton A & Strauss, Robert P, 1978. "Modeling the Earnings and Research Productivity of Academic Economists," Journal of Political Economy, University of Chicago Press, vol. 86(4), pages 729-741, August.
    8. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    9. Davis, Paul & Papanek, Gustav F, 1984. "Faculty Ratings of Major Economics Departments by Citations," American Economic Review, American Economic Association, vol. 74(1), pages 225-230, March.
    10. Kamien,Morton I. & Schwartz,Nancy L., 1982. "Market Structure and Innovation," Cambridge Books, Cambridge University Press, number 9780521293853, March.
    11. Pardey, Philip G., 1986. "Public sector production of agricultural knowledge," Faculty Theses and Dissertations 121800, University of Minnesota, Department of Applied Economics.
    12. McDowell, John M, 1982. "Obsolescence of Knowledge and Career Publication Profiles: Some Evidence of Differences among Fields in Costs of Interrupted Careers," American Economic Review, American Economic Association, vol. 72(4), pages 752-768, September.
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    Cited by:

    1. James Adams & Zvi Griliches, 1996. "Measuring Science: An Exploration," NBER Working Papers 5478, National Bureau of Economic Research, Inc.
    2. 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.
    3. 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.
    4. 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.
    5. Pardey, Philip G. & Craig, Barbara & Hallaway, Michelle L., 1989. "U.S. agricultural research deflators: 1890-1985," Research Policy, Elsevier, pages 289-296.
    6. 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.
    7. 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.
    8. 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).
    9. Atul Nerkar, 2003. "Old Is Gold? The Value of Temporal Exploration in the Creation of New Knowledge," Management Science, INFORMS, vol. 49(2), pages 211-229, February.

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