Risk preference and optimal crop combinations in upland Java, Indonesia: an application of stochastic programming
使用随机规划模型评估爪哇高地大豆种植系统的经济表现，发现农户风险偏好变化会影响最优作物组合，且现有种植模式在农户当前风险偏好水平下是理性的。
ABSTRACT A stochastic programming model was used to evaluate the economic performance of a soybean‐based farming system in upland Java. The model incorporates farmers' risk preferences, revenue fluctuations and resources restrictions. The results show that (1) changes in risk preference do affect the optimal crop combination, and (2) the typical cropping pattern is rational under the present level of the farmers' risk preference estimated in the study site.