在不可行的情况下,研究超效率与固定投入的关系

Qiwei Xie, Qianzhi Dai, S. Mita, Qian Long, Yongjun Li
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引用次数: 6

摘要

固定投入分配是管理科学领域的一个重要课题。以往的数据包络分析(DEA)研究是基于恒定规模回报(CRS)框架(称为CCR DEA模型)来考虑这个问题的。然而,投入产出之间的规模回报关系包括三种情况:CRS、规模回报递增(IRS)和规模回报递减(DRS)。因此,有必要研究在变规模收益(VRS)假设下(称为BCC DEA模型)基于DEA的问题。本文有两个贡献:一是提出了一种解决超效率BCC DEA模型中加入新变量时的不可行性问题的方法,二是研究了BCC效率得分与分配的固定投入之间的基本关系。两者对于VRS DEA框架下的固定投入分配都具有重要意义。最后,以城市公共交通企业补贴分配为例进行了实证分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigate the relationship between the super-efficiency and fixed input in the presence of infeasibility
The fixed input allocation is an important topic in the management science field. Previous data envelopment analysis (DEA) studies consider the problem based on the constant return to scale (CRS) framework (called CCR DEA model). However, the return to scale relationship between inputs and outputs includes three cases: CRS, increasing return to scale (IRS) and decreasing return to scale (DRS). Therefore, it is necessary to study the problem based on DEA under the variable return to scale (VRS) assumption (called BCC DEA model). This paper has two contributions: one is presenting an approach to solve the infeasibility problem when a new variable is added into the super-efficiency BCC DEA model, and the other is investigating the basic relationship between the BCC efficiency scores and the allocated fixed input. Both of them are significant for allocating the fixed input under the VRS DEA framework. Finally, the proposed approach is illustrated by an example of allocating the subsidy among urban public transport enterprises.
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