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Refining Returns To Research And Development In South African Commercial Agriculture

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  • Khatri, Y.
  • Schimmelpfennig, D.
  • Thirtle, C.
  • van Zyl, J.

Abstract

Use ofa long-run profit function provides accurate estimates of returns to agricultural R&D in Europe and North America, a result that is tied to the long term basic and applied nature of the research institutions in these areas. Agricultural R&D in South Africa is fundamentally different with a more adaptive character, resulting in a shorter lag of five years between research spending and changes in TFP. In this situation, the long-run profit function input demand and output supply elasticities are too high, resulting in overestimation of returns to R&D. A potential solution to this problem is to use a short-run profit function in the calculation of returns to R&D. Several other inputs are held fixed and the result is a short-run return to R&D in South Africa that compares favourably with long-run return levels that have been established for the northern hemisphere.

Suggested Citation

  • Khatri, Y. & Schimmelpfennig, D. & Thirtle, C. & van Zyl, J., 1996. "Refining Returns To Research And Development In South African Commercial Agriculture," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 35(4), December.
  • Handle: RePEc:ags:agreko:267988
    DOI: 10.22004/ag.econ.267988
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    References listed on IDEAS

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    1. Huffman, Wallace & Evenson, Robert E., 1987. "Research Bias Effects for Input and Output Decisions: An Application to U.S. Cash Grain Farms," Staff General Research Papers Archive 11016, Iowa State University, Department of Economics.
    2. Kislev, Yoav & Peterson, Willis, 1982. "Prices, Technology, and Farm Size," Journal of Political Economy, University of Chicago Press, vol. 90(3), pages 578-595, June.
    3. Geweke, John & Meese, Richard, 1981. "Estimating regression models of finite but unknown order," Journal of Econometrics, Elsevier, vol. 16(1), pages 162-162, May.
    4. V. Eldon Ball, 1985. "Output, Input, and Productivity Measurement in U.S. Agriculture 1948–79," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 67(3), pages 475-486.
    5. Schmidt, Peter, 1974. "An Argument for the Usefulness of the Gamma Distributed Lag Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 15(1), pages 246-250, February.
    6. Frédéric Bouchet & David Orden & George W. Norton, 1989. "Sources of Growth in French Agriculture," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(2), pages 280-293.
    7. Echeverría, Ruben G., 1990. "Methods for Diagnosing Research System Constraints and Assessing the Impact of Agricultural Research - Volume 1: Diagnosing Agricultural Research System Constraints," ISNAR Archive 310626, CGIAR > International Food Policy Research Institute (IFPRI).
    8. J. Stephen Clark & Curtis E. Youngblood, 1992. "Estimating Duality Models with Biased Technical Change: A Time Series Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(2), pages 353-360.
    9. J. Van Zyl & N. Vink & T.I. Fényes, 1987. "Labour‐Related Structural Trends in South African Maize Production," Agricultural Economics, International Association of Agricultural Economists, vol. 1(3), pages 241-258, October.
    10. van Zyl, J. & van Schalkwyk, H. D. & Thirtle, C., 1993. "Entrepreneurship And The Bottom Line: How Much Of Agriculture'S Profits Is Due To Changes In Price, How Much To Productivity?," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 32(4), December.
    11. Lau, Lawrence J., 1976. "A characterization of the normalized restricted profit function," Journal of Economic Theory, Elsevier, vol. 12(1), pages 131-163, February.
    12. Tsurumi, Hiroki, 1971. "A Note on Gamma Distributed Lags," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 12(2), pages 317-324, June.
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    Cited by:

    1. Ortmann, Gerald F., 2005. "Promoting the competitiveness of South African agriculture in a dynamic economic and political environment," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 44(3), pages 1-35, September.

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