Largest size-efficient scale and size efficiencies of decision-making units in data envelopment analysis
在传统DEA分析基础上，提出规模效率概念，衡量将任务分给多个小单元能否进一步节省投入，并证明最大径向规模有效产出规模的存在性，以医院数据为例说明。
This paper extends the usual DEA analysis, which evaluates input savings that could have been effected by a decision-making unit, given its observed task, to inquire into whether even greater savings would be possible if the task were to be optimally apportioned to a number of smaller units. The notion of size efficiency is introduced to measure this potential for further input reductions, and then compared and contrasted to the extant notion of scale efficiency. The existence of a largest radially size-efficient output scale is established as a ray property of the production frontier. An illustrative application to hospitals is described.