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Farm Level Modelling For The Evaluation Of The Impact Of Technology

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  • Douglas, C.
  • Francois, B.

Abstract

A linear risk programming model of small farmer decision making was formulated and employed to evauate the impact of new technology on farm organization, income and resource utilization. The model is based substantially on the neo-classical theory of the firm. However, consideration is given to the fact that profit maximizing behaviour is constrained by sub-optional farm-household decisions. In addition to the usual resource and institutional constraints,a safety first constraint on expected net income was incorporated using a MOTAD formulation. The analysis of the results is focussed mainly on the changes in (a) enterprise combination; (b) income levels; and (c) resource utilization. Despite the limitations of the linear programming approach this type of analysis is very useful to guide research and development policies.

Suggested Citation

  • Douglas, C. & Francois, B., 1986. "Farm Level Modelling For The Evaluation Of The Impact Of Technology," 22nd Annual Meeting, August 25-29, 1986, St. Lucia 261353, Caribbean Food Crops Society.
    • Handle: RePEc:ags:cfcs86:261353
    DOI: 10.22004/ag.econ.261353
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    References listed on IDEAS

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    1. P. B. R. Hazell, 1971. "A Linear Alternative to Quadratic and Semivariance Programming for Farm Planning under Uncertainty," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 53(1), pages 53-62.
    2. P. B. R. Hazell, 1971. "A Linear Alternative to Quadratic and Semivariance Programming for Farm Planning under Uncertainty: Reply," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 53(4), pages 664-665.
    3. Jones, William O., 1960. "Economic Man in Africa," Food Research Institute Studies, Stanford University, Food Research Institute, vol. 1(2), pages 1-28.
    4. W. David Hopper, 1965. "Allocation Efficiency in a Traditional Indian Agriculture," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 47(3), pages 611-624.
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