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Describing and Identifying the Complete Set of Target MOTAD Solutions

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  • Francis McCamley
  • James B. Kliebenstein

Abstract

For some Target MOTAD applications, only enterprise mixtures associated with a single target level are of interest. However, in most cases knowledge of other Target MOTAD enterprise mixtures provides useful information. The complete set of Target MOTAD enterprise mixtures is the union of a finite number of closed convex subsets. It can be identified by parametric programming. For well-behaved problems, only two parameters, target income level (T) and expected deviations (λ), need to be varied to identify the set of Target MOTAD mixtures. Data from a problem by Hazell are used to illustrate this technique.

Suggested Citation

  • Francis McCamley & James B. Kliebenstein, 1987. "Describing and Identifying the Complete Set of Target MOTAD Solutions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 69(3), pages 669-676.
    • Handle: RePEc:oup:ajagec:v:69:y:1987:i:3:p:669-676.
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    Citations

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    Cited by:

    1. Kingwell, Ross, 1996. "Programming models of farm supply response: The impact of specification errors," Agricultural Systems, Elsevier, vol. 50(3), pages 307-324.
    2. Kaaria, Susan Kawira, 1990. "Economic potential of high oil oats," ISU General Staff Papers 1990010108000017620, Iowa State University, Department of Economics.
    3. McCamley, Francis P. & Rudel, Richard K., 1999. "Target Motad For Risk Lovers," 1999 Annual Meeting, July 11-14, 1999, Fargo, ND 35723, Western Agricultural Economics Association.
    4. Vontalge, Alan L., 1991. "A feasibility study of swine producer management cooperatives," ISU General Staff Papers 1991010108000018168, Iowa State University, Department of Economics.
    5. Tembo, Gelson & Kaitibie, Simeon & Epplin, Francis M., 1999. "Integrated Crop And Livestock Risk Modeling," 1999 Annual meeting, August 8-11, Nashville, TN 21505, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    6. Pannell, David J. & Nordblom, Thomas L., 1998. "Impacts of risk aversion on whole-farm management in Syria," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 42(3), pages 1-21.
    7. Novak, James L. & Mitchell, Charles C., Jr. & Crews, Jerry R., 1990. "Risk And Sustainable Agriculture: A Target-Motad Analysis Of The 92-Year "Old Rotation"," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 22(1), pages 1-10, July.
    8. Kliebenstein, James & McCamley, Francis, 1991. "Characteristics of the Set of Dual Solutions of the Target MOTAD Model," WAEA/ WFEA Conference Archive (1929-1995) 321424, Western Agricultural Economics Association.
    9. Hardaker, J. Brian & Pandey, Sushil & Patten, Louise H., 1991. "Farm Planning under Uncertainty: A Review of Alternative Programming Models," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 59(01), pages 1-14, April.
    10. Thampapillai DJ. & Maleka, P. T. & Milimo, J. T., 1992. "Quantification of the trade-offs in Zambia between environment, employment, income and food-security," ILO Working Papers 992880613402676, International Labour Organization.

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