Modelling embedded risk in peasant agriculture: methodological insights from northern Malawi
通过马拉维北部农业系统的线性规划模型，研究了小农家庭模型何时需要考虑嵌入风险，发现离散随机规划在处理嵌入风险时比半序贯规划更有效。
Abstract Using a linear‐programming model of farming systems in northern Malawi, the conditions under which peasant farm‐household 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 semi‐sequential strategy.