Theory and application of risk analysis in an agricultural development setting: A Moroccan case study
运用非线性风险规划对摩洛哥小农户的作物组合进行风险效率分析，发现其风险规避程度远低于以往认知，为农业风险管理提供新视角。
Portfolio analysis, using nonlinear risk programming, was applied to identify the risk-efficient crop portfolios for a group of subsistence farmers. On average these individuals operated 6.5 hectares of crop land. It was shown that E–V approximations could be developed, using quadratic programming, which provide close estimates to maximum expected utility at various risk-aversion levels. The appropriate utility function form and an approximation of the level of risk aversion exhibited by small farmers were identified. Results suggest these farmers may be far less risk averse than previously believed.