Nutritional Adaptations of Linear Programming for Planning Rural Development
Peter H. Calkins
American Journal of Agricultural Economics, 1981, vol. 63, issue 2, 247-254
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.
Date: 1981
References: Add references at CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://hdl.handle.net/10.2307/1239560 (application/pdf)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:oup:ajagec:v:63:y:1981:i:2:p:247-254.
Access Statistics for this article
American Journal of Agricultural Economics is currently edited by Madhu Khanna, Brian E. Roe, James Vercammen and JunJie Wu
More articles in American Journal of Agricultural Economics from Agricultural and Applied Economics Association Contact information at EDIRC.
Bibliographic data for series maintained by Oxford University Press ().