Parsimonious Multi‐dimensional Impact Assessment
为农业技术和环境变化的多维（经济、环境、社会）影响评估开发了一种简约的通用建模方法，通过特征化技术采纳与结果变量的联合分布来分析采纳的选择效应，并用肯尼亚高产玉米品种案例验证了模型。
This article develops the conceptual and empirical foundations for a parsimonious, generic modeling approach to multi‐dimensional (i.e., economic, environmental and social) impact assessments of agricultural technologies and environmental change. Joint distributions between technology adoption and outcome variables are characterized, and used to analyze the selection effects of adoption on a general class of impact indicators. The approach is implemented with a generic model that can be parameterized with low‐order moments of outcome variables. A case study of adoption of a high‐yielding maize variety in Kenya illustrates the model's use and confirms theoretical results.