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Farm Planning with Resource Uncertainty: A Semi-sequential Approach

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  • Dorward, Andrew

Abstract

A formulation is developed to allow the simple adaptation of non-sequential multi-state LP models into a semi-sequential framework describing problems with stochastic resource supplies and input and output coefficients. The method is illustrated by a peasant farm management example and compared with discrete stochastic programming, whose adoption has often been limited by its tendency to impose restrictions on problem formulation. It is suggested that the semi-sequential formulation provides a useful alternative modelling approach where stochastic variation is important but analytical and data collection resources are limited. Copyright 1994 by Oxford University Press.

Suggested Citation

  • Dorward, Andrew, 1994. "Farm Planning with Resource Uncertainty: A Semi-sequential Approach," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 21(2), pages 309-324.
  • Handle: RePEc:oup:erevae:v:21:y:1994:i:2:p:309-24
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    Cited by:

    1. Petersen, E. H. & Fraser, R. W., 2001. "An assessment of the value of seasonal forecasting technology for Western Australian farmers," Agricultural Systems, Elsevier, vol. 70(1), pages 259-274, October.
    2. Dorward, Andrew, 1999. "Modelling embedded risk in peasant agriculture: methodological insights from northern Malawi," Agricultural Economics, Blackwell, vol. 21(2), pages 191-203, October.
    3. Carpentier, Alain & Gohin, Alexandre & Sckokai, Paolo & Thomas, Alban, 2015. "Economic modelling of agricultural production: past advances and new challenges," Revue d'Etudes en Agriculture et Environnement, Editions NecPlus, vol. 96(01), pages 131-165, March.
    4. Graham R. Marshall & Kevin A. Parton & G.L. Hammer, 1996. "Risk Attitude, Planting Conditions And The Value Of Seasonal Forecasts To A Dryland Wheat Grower," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 40(3), pages 211-233, December.
    5. Arno Maatman & Caspar Schweigman & Arjan Ruijs & Maarten H. van Der Vlerk, 2002. "Modeling Farmers' Response to Uncertain Rainfall in Burkina Faso: A Stochastic Programming Approach," Operations Research, INFORMS, vol. 50(3), pages 399-414, June.
    6. Gicheha, M.G. & Edwards, G.R. & Bell, S.T. & Burtt, E.S. & Bywater, A.C., 2014. "Embedded risk management in dryland sheep systems II. Risk analysis," Agricultural Systems, Elsevier, vol. 124(C), pages 1-11.
    7. Dorward, A. R., 1996. "Modelling diversity, change and uncertainty in peasant agriculture in northern Malawi," Agricultural Systems, Elsevier, vol. 51(4), pages 469-486, August.

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