方向距离函数中方向向量的最优选择  

The optimal choice of direction vector in a directional distance function

作　　者：邓忠奇[1] 

机构地区：[1]中国人民大学商学院,北京100872

出　　处：《系统工程理论与实践》2016年第4期934-944,共11页Systems Engineering-Theory & Practice

基　　金：中国人民大学科学研究基金(中央高校基本科研业务费专项资金资助)项目成果(15XNH082)~~

摘　　要：方向距离函数(DDF)中方向向量的选择一直是理论难题,文章摈弃传统外生方向,将方向内生化,从决策单元(DMU)边际利润最大化的角度提出方向选择的理论方法,该方法不仅可用于效率评价,也可指导效率提升.为理解方法的现实意义,文章利用中国省际工业部门数据确定各省市的最优方向,以便最大程度地兼顾省际工业增长和减排的双重目标.结果表明,当减排任务增加到一定程度以后,能源、资本和人力的投入都将大幅度减少,因此在工业发展过程中减排任务需要适度;在允许自由选择方向之后,各省市对工业增长和保持空气质量的偏好有较大差异;此外,内生方向下减排任务比传统方向下宽松.How to choose the direction vector in a DDF is a theoretical puzzle. The paper abandons the traditional exogenous directions, and gives an endogenous method by marginal profit maximization, which not only can be used for efficiency evaluation, also can guide the efficiency improvement. In order to understand the practical significance of this method, the paper also studies the optimal directions of the 30 provinces in China to meet the requirements of industrial growth and emission-reduction. Results show that energy, capital and labor inputs will be greatly reduced when the emission-reduction task gets to a certain extent, emission-reduction task thus should be modest; after endogenizing directions, various provinces have different preference between industrial growth and air quality. Additionally, emission-reduction task under the direction of this paper is more easier than that under the traditional direction.

关 键 词：方向距离函数 最优方向 边际利润最大化 工业增长 

分 类 号：F062.9[经济管理—政治经济学] F061.1