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Scheduling Inputs With Production Functions: Optimal Nitrogen Programs For Rice

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  • Griffin, Ronald C.
  • Rister, M. Edward
  • Montgomery, John M.
  • Turner, Fred T.

Abstract

The problem of scheduling input applications can be examined by extending conventional production function analysis. Using appropriately designed agricultural experiments, it is possible to estimate production function parameters with alternative specifications for input timing (and amount). A study of nitrogen applications to rice is employed to illustrate scheduling via production functions. Alternative specifications and functional forms are simultaneously examined to determine the sensitivity of economic results to these factors. Sensitivity is found to be high, and this finding is hypothesized to be critical for other approaches to input scheduling as well.

Suggested Citation

  • Griffin, Ronald C. & Rister, M. Edward & Montgomery, John M. & Turner, Fred T., 1985. "Scheduling Inputs With Production Functions: Optimal Nitrogen Programs For Rice," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 17(01), pages 1-10, July.
    • Handle: RePEc:ags:sojoae:29353
    DOI: 10.22004/ag.econ.29353
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    References listed on IDEAS

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    1. Musser, Wesley N. & Tew, Bernard V., 1984. "Use Of Biophysical Simulation In Production Economics," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 16(01), pages 1-10, July.
    2. T. Dudley Wallace, 1977. "Pretest Estimation in Regression: A Survey," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 59(3), pages 431-443.
    3. Debertin, David L. & Freund, R. J., 1975. "The Deletion of Variables From Regression Models Based on Tests of Significance: A Statistical and Moral Issue," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 7(1), pages 211-216, July.
    4. James G. Ryan & Richard K. Perrin, 1974. "Fertilizer Response Information and Income Gains: The Case of Potatoes in Peru," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 56(2), pages 337-343.
    5. Roumasset, James A., 1974. "Estimating The Risk Of Alternate Techniques: Nitrogenous Fertilization Of Rice In The Philippines," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 42(04), pages 1-38, December.
    6. Alain De Janvry, 1972. "Optimal Levels of Fertilization Under Risk: The Potential for Corn and Wheat Fertilization Under Alternative Price Policies in Argentina," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 54(1), pages 1-10.
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    Cited by:

    1. Charles E. French & Randall E. Westgren, 1986. "Working with other disciplines: The role of agricultural economists in interdisciplinary agribusiness research," Agribusiness, John Wiley & Sons, Ltd., vol. 2(4), pages 491-500.
    2. Mjelde, James W. & Capps, Oral, Jr. & Griffin, Ronald C., 1995. "Examination Of Alternative Heteroscedastic Error Structures Using Experimental Data," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 27(01), pages 1-15, July.
    3. Thompson, Troy N. & Knight, Thomas O. & Boren, Billy D., 1990. "Estimating The Value of the 0/92 Reduced Planting Alternatives of the 1985 Farm Bill For Farm Program Participants," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 22(2), pages 87-97, December.
    4. Montgomery, John M. & Griffin, Ronald C. & Dahm, Fred P., 1986. "Comparing Random Profit From 'Optimal' Input Recommendations," 1986 Annual Meeting, July 27-30, Reno, Nevada 278077, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    5. Buaha, Gabriel Toichoa & Apland, Jeffrey & Hicks, Dale, 1995. "A Regression Analysis Of The Effects Of Planting Date And Variety On Corn Yields In Minnesota," Staff Papers 13872, University of Minnesota, Department of Applied Economics.

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