Modelling embedded risk in peasant agriculture: methodological insights from northern Malawi
通过马拉维北部农场系统的线性规划模型，探讨小农户模型何时需要考虑嵌入风险，发现对劳动力和资本稀缺的家庭，战术性应对不确定性比半序贯编程更有效，离散随机编程能更高效解决嵌入风险问题。
Using a linear-programming model of farming systems in northern Malawi, the conditions under which peasant farmhousehold models may need to allow for embedded risk are investigated. Tactical, sequential responses to uncertainty are found to be more important to labour-scarce households with limited access to capital and to credit markets. Compared with semi-sequential programming, discrete stochastic programming (DSP) provided more efficient solutions for problems involving embedded risk. There may be intuitive advantages in presenting results from DSP models in terms of a semisequential strategy. © 1999 Elsevier Science B.V. All rights reserved.