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Nonparametric Measures Of The Impacts Of Public Research Expenditures On Australian Broadacre Agriculture: Preliminary Results

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  • Thomas COX

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  • John MULLEN
  • Wensheng HU
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    Abstract

    Nonparametric methods are used to measure the impacts of public research expenditures on Australian broadacre agriculture over the 1953-94 period. The data and methods used were unable to recover separate impacts due to extension under several alternative specifications. Preliminary results using both unrestricted and 30 year lagged specifications of the research impacts on productivity suggest that while certain aspects of the recovered multi- input/output technologies are quite robust to alternative specifications (in particular, the associated Malmquist total factor productivity indexes), other aspects are less stable (in particular, the indexes on input (and to a lesser extent, output) biased technical change).

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    Bibliographic Info

    Paper provided by University of Wisconsin Madison, AAE in its series Staff Papers with number 399.

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    Date of creation: Aug 1996
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    Handle: RePEc:wop:wiaesp:399

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    Postal: University of Wisconsin, Dept. of Agricultural and Applied Economics, 427 Lorch Street, Madison, WI 53706
    Phone: 608-262-8966
    Fax: 608-262-4376
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    Web page: http://www.aae.wisc.edu/
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    References

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    1. James A. Chalfant & Bin Zhang, 1997. "Variations on Invariance or Some Unpleasant Nonparametric Arithmetic," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(4), pages 1164-1176.
    2. Huffman, Wallace E. & Evenson, Robert E., 1993. "Science for Agriculture: A Long Term Perspective," Staff General Research Papers 10997, Iowa State University, Department of Economics.
    3. Diewert, W. E., 1976. "Exact and superlative index numbers," Journal of Econometrics, Elsevier, vol. 4(2), pages 115-145, May.
    4. Mullen, John D. & Cox, Thomas L., 1995. "The Returns From Research In Australian Broadacre Agriculture," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 39(02), August.
    5. Chavas, Jean-Paul & Cox, Thomas L, 1993. "On Generalized Revealed Preference Analysis," The Quarterly Journal of Economics, MIT Press, vol. 108(2), pages 493-506, May.
    6. Huffman, Wallace & Evenson, Robert E., 1989. "Supply and Demand Functions for Multiproduct U.S. Cash Grain Farms: Biases Caused by Research and Other Policies," Staff General Research Papers 10985, Iowa State University, Department of Economics.
    7. JEAN-PAUL CHAVAS & Michael Aliber & THOMAS L. COX, 1994. "A Nonparametric Analysis of the Source and Nature of Technical Change: the Case of U.S. Agriculture," Wisconsin-Madison Agricultural and Applied Economics Staff Papers 373, Wisconsin-Madison Agricultural and Applied Economics Department.
    8. Jean-Paul Chavas & Thomas L. Cox, 1994. "A Primal-Dual Approach to Nonparametric Productivity Analysis: the Case of U.S. Agriculture," Wisconsin-Madison Agricultural and Applied Economics Staff Papers 372, Wisconsin-Madison Agricultural and Applied Economics Department.
    9. Michael Harris & Alan Lloyd, 1991. "The Returns to Agricultural Research and the Underinvestment Hypothesis - A Survey," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 24(3), pages 16-27.
    10. Chavas, Jean-Paul & Cox, Thomas L., 1997. "On nonparametric demand analysis," European Economic Review, Elsevier, vol. 41(1), pages 75-95, January.
    11. Knopke, Philip, 1988. "Measuring Productivity Change Under Different Levels Of Assistance: The Australian Dairy Industry," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 32(02-03).
    12. Banker, Rajiv D & Maindiratta, Ajay, 1988. "Nonparametric Analysis of Technical and Allocative Efficiencies in Production," Econometrica, Econometric Society, vol. 56(6), pages 1315-32, November.
    13. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
    14. Afriat, Sidney N, 1972. "Efficiency Estimation of Production Function," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 13(3), pages 568-98, October.
    15. Hanoch, Giora & Rothschild, Michael, 1972. "Testing the Assumptions of Production Theory: A Nonparametric Approach," Journal of Political Economy, University of Chicago Press, vol. 80(2), pages 256-75, March-Apr.
    16. Mullen, John D. & Cox, Thomas L., 1996. "Measuring Productivity Growth In Australian Broadacre Agriculture," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 40(03), December.
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    Cited by:
    1. Mullen, John D. & Cox, Thomas L., 1996. "Measuring Productivity Growth In Australian Broadacre Agriculture," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 40(03), December.

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