Optimal Directions for Directional Distance Functions: An Exploration of Potential Reductions of Greenhouse Gases
用非参数方法为全球主要污染排放国确定方向性距离函数的最优方向，发现采用最佳实践可减排约20%。
Abstract This article explores the reduction potential of greenhouse gases for major pollution‐emitting countries of the world using nonparametric productivity measurement methods and directional distance functions. In contrast to the existing literature, we apply optimization methods to endogenously determine optimal directions for the efficiency analysis. These directions represent the compromise of output enhancement and emissions reduction. The results show that for reasonable directions the adoption of best practices would lead to sizable emission reductions in a range of approximately 20% compared with current levels.