Integrating Agri‐Environmental Programs into Regional Production Models: An Extension of Positive Mathematical Programming
扩展了正数学规划方法，使其能更合理地模拟农业环境计划对区域生产的影响，适用于不同活动间替代弹性差异重要的问题。
Abstract Positive Mathematical Programming (PMP) has become a popular method for regional production models. The standard approach estimates cost (or production) functions for each land‐use activity separately from each other. This means that the same crop grown under two technologies is treated as if it were two separate crops, which may lead to unsatisfying results, for example, if agri‐environmental programs are modeled. We present an extended version of PMP that leads to more plausible results than the standard version in such cases. The extended method is applicable to other problems where differences in the elasticity of substitution between activities are important.