Directional distance based efficiency decomposition for series system in network data envelopment analysis

被引:7
作者
Lin, Ruiyue [1 ]
Liu, Qian [1 ,2 ]
机构
[1] Wenzhou Univ, Wenzhou, Peoples R China
[2] Shangqiu Inst Technol, Shangqiu, Peoples R China
基金
中国国家自然科学基金;
关键词
Data envelopment analysis; efficiency; performance measurement; NEGATIVE INPUTS; 2-STAGE DATA; DEA; MODEL; PRODUCTIVITY; OUTPUTS; VARIANT;
D O I
10.1080/01605682.2021.1931498
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
The multiplier network directional distance function (DDF) model capable of handling negative data received little attention in the field of data envelopment analysis (DEA). The series system is a basic network one. Under the assumption of variable returns to scale (VRS), this paper extends the multiplier series DEA model for use with the DDF. The proposed series DDF model is non-oriented and can deal with negative data. The resulting system efficiency score can be decomposed as a weighted average of process efficiency scores. In the context of DDF, the issue of possible alternate process efficiencies is addressed. The proposed model can also be applied to the assumption of constant returns to scale (CRS). Moreover, we derive the mathematical relationship between the CRS form of our series DDF model and the series CCR model. Two empirical examples in the literature illustrate the applicability and advantages of the new model.
引用
收藏
页码:1873 / 1888
页数:16
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