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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
  • John MULLEN
  • Wensheng HU

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).

Suggested Citation

  • Thomas COX & John MULLEN & Wensheng HU, 1996. "Nonparametric Measures Of The Impacts Of Public Research Expenditures On Australian Broadacre Agriculture: Preliminary Results," Staff Papers 399, University of Wisconsin Madison, AAE.
  • Handle: RePEc:wop:wiaesp:399
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    File URL: http://agecon.lib.umn.edu/wis/stpap399.pdf
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    References listed on IDEAS

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    1. John D. Mullen & Thomas L. Cox, 1996. "Measuring Productivity Growth In Australian Broadacre Agriculture," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 40(3), pages 189-210, December.
    2. 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 568-598, October.
    3. Jean-Paul Chavas & Thomas L. Cox, 1992. "A Nonparametric Analysis of the Influence of Research on Agricultural Productivity," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(3), pages 583-591.
    4. Wallace E. Huffman & Robert E. Evenson, 1989. "Supply and Demand Functions for Multiproduct U.S. Cash Grain Farms: Biases Caused by Research and Other Policies," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(3), pages 761-773.
    5. 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.
    6. Jean-Paul Chavas & Thomas L. Cox, 1993. "On Generalized Revealed Preference Analysis," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(2), pages 493-506.
    7. 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(3), pages 1-22, December.
    8. 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.
    9. Huffman, Wallace E. & Evenson, Robert E., 1993. "Science for Agriculture: A Long Term Perspective," Staff General Research Papers Archive 10997, Iowa State University, Department of Economics.
    10. Jean-Paul CHAVAS & Thomas L. COX, 1994. "A Primal-Dual Approach To Nonparametric Productivity Analysis: The Case Of U.S. Agriculture," Staff Papers 372, University of Wisconsin Madison, AAE.
    11. 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(2), pages 1-24, August.
    12. 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(2-3), pages 1-16, August.
    13. Philip G. Pardey & Barbara Craig, 1989. "Causal Relationships between Public Sector Agricultural Research Expenditures and Output," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(1), pages 9-19.
    14. John D. Mullen & Thomas L. Cox, 1995. "The Returns From Research In Australian Broadacre Agriculture," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 39(2), pages 105-128, August.
    15. 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, July.
    16. 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 256-275, March-Apr.
    17. 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.
    18. Robert Evenson, 1967. "The Contribution of Agricultural Research to Production," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 49(5), pages 1415-1425.
    19. Banker, Rajiv D & Maindiratta, Ajay, 1988. "Nonparametric Analysis of Technical and Allocative Efficiencies in Production," Econometrica, Econometric Society, vol. 56(6), pages 1315-1332, November.
    20. Philip Knopke, 1988. "Measuring Productivity Change Under Different Levels Of Assistance: The Australian Dairy Industry," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 32(2-3), pages 113-128, 08-12.
    21. Diewert, W. E., 1976. "Exact and superlative index numbers," Journal of Econometrics, Elsevier, vol. 4(2), pages 115-145, May.
    22. Chavas, Jean-Paul & Cox, Thomas L., 1997. "On nonparametric demand analysis," European Economic Review, Elsevier, vol. 41(1), pages 75-95, January.
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    Cited by:

    1. Pingali, Prabhu L. & Heisey, Paul W., 1999. "Cereal Crop Productivity in Developing Countries: Past Trends and Future Prospects," Economics Working Papers 7682, CIMMYT: International Maize and Wheat Improvement Center.
    2. Ahearn, Mary Clare & Yee, Jet & Ball, V. Eldon & Nehring, Richard F., 1998. "Agricultural Productivity in the United States," Agricultural Information Bulletins 33687, United States Department of Agriculture, Economic Research Service.
    3. 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(3), pages 1-22, December.

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