Decomposition weights and overall efficiency in two-stage additive network DEA

作者:Guo, C(Guo, Chuanyin)^[1];Shureshjani, RA(Shureshjani, Roohollah Abbasi)^[2];Foroughi, AA(Foroughi, Ali Asghar)^[2];Zhu, J(Zhu, Joe)^[3,4]  

Data envelopment analysis (DEA) is a technique for performance evaluation of peer decision making units (DMUs). The network DEA models study the internal structures of DMUs. Using two-stage network structures as an example, the current paper examines additive efficiency decomposition where the overall efficiency is defined as a weighted average of stage efficiencies and the weights are used to reflect relative importance of individual stages. We show that weights may not affect the calculation of stage efficiency scores and that variation in the overall efficiency resulting from using different weights can be associated with constant stage efficiencies. We demonstrate the need to isolate the impact of weights on the overall efficiency. We propose to use a new overall efficiency index to address some pitfalls in weighted additive efficiency decomposition. Our findings are illustrated using two empirical data sets representing two types of two-stage network structures. (C) 2016 Elsevier B.V. All rights reserved.

作者关键词:Data envelopment analysis (DEA);Network DEA;Additive efficiency;Decomposition;Two-stage  

KeyWords Plus:DATA ENVELOPMENT ANALYSIS;MODELS;UNITS  

通讯作者地址:Zhu, J (通讯作者)

Worcester Polytech Inst, Foisie Sch Business, Worcester, MA 01609 USA.

地址:

	[ 1 ]Beihang Univ, Sch Econ & Management, Beijing 100191, Peoples R China
	[ 2 ] Univ Qom, Dept Math, Qom 3716146611, Iran
	[ 3 ] Nanjing Audit Univ, Int Ctr Auditing & Evaluat, Nanjing 211815, Jiangsu, Peoples R China
	[ 4 ] Worcester Polytech Inst, Foisie Sch Business, Worcester, MA 01609 USA

电子邮件地址:cyguo@buaa.edu.cn;roohollah31@gmail.com;a-foroughi@qom.ac.ir;jzhu@wpi.edu