Nutritional Adaptations of Linear Programming for Planning Rural Development
通过修改线性规划模型，使其适应自给农户的资源和管理限制，并用尼泊尔农场的案例展示了如何在营养和收入之间权衡，为农村发展计划提供决策支持。
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.