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Nutritional Adaptations of Linear Programming for Planning Rural Development

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  • Peter H. Calkins

Abstract

Linear programming can help plan rural development if the income-maximization and least-cost diet models are integrated within the resource and management limitations of small-scale representative farms. Seven modifications adapt linear programming to subsistence households. Caveats in this context include risk, level of nutritional awareness, production scale, and result sensitivity. Through six model formulations for a representative Nepalese farm, linear programming identifies the most nutritious and profitable production patterns; trade-offs between nutrition and income; and the costs of constraints relating to levels of credit, market availability, and human capital development.

Suggested Citation

  • Peter H. Calkins, 1981. "Nutritional Adaptations of Linear Programming for Planning Rural Development," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 63(2), pages 247-254.
    • Handle: RePEc:oup:ajagec:v:63:y:1981:i:2:p:247-254.
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    File URL: http://hdl.handle.net/10.2307/1239560
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    Cited by:

    1. McCarl, Bruce A., 1992. "Mathematical Programming For Resource Policy Appraisal Under Multiple Objectives," Working Papers 11888, Environmental and Natural Resources Policy Training Project.
    2. Schneider, Kate R., 2022. "Nationally representative estimates of the cost of adequate diets, nutrient level drivers, and policy options for households in rural Malawi," Food Policy, Elsevier, vol. 113(C).
    3. repec:ags:ucdegw:232847 is not listed on IDEAS
    4. Benito, Carlos, 1981. "Evaluation of Food Consumption Programs in Rural Egypt: Methodological Considerations," Working Papers 232847, University of California, Davis, Agricultural Development Systems: Egypt Project.

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