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author:

Chen, Lei (Chen, Lei.) [1] | Huang, Yan (Huang, Yan.) [2] | Li, Mei-Juan (Li, Mei-Juan.) [3] | Wang, Ying-Ming (Wang, Ying-Ming.) [4]

Indexed by:

EI

Abstract:

Efficiency overestimation and technology heterogeneity are important factors that affect the use of data envelopment analysis. This paper introduces a meta-frontier analysis framework into a cross-efficiency method to develop a new efficiency evaluation method. This method can be used to calculate, aggregate, and decompose the cross efficiencies relative to the meta-frontier and group-frontier. Then the technology gap between these frontiers can be measured and more detailed information regarding the inefficiency of decision-making units can be obtained. This enables decision makers to improve efficiency in a targeted manner. Subsequently, the non-uniqueness of the optimal solution is discussed for the new method, and the cross-evaluation strategy is introduced to ensure the stability of the optimal solution. Finally, two examples are presented to illustrate the effectiveness of this method. © 2019 Elsevier B.V.

Keyword:

Data envelopment analysis Decision making Efficiency Optimal systems

Community:

  • [ 1 ] [Chen, Lei]School of Economics & Management, Fuzhou University, Fuzhou; 350116, China
  • [ 2 ] [Huang, Yan]School of Economics & Management, Fuzhou University, Fuzhou; 350116, China
  • [ 3 ] [Huang, Yan]College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou; 350002, China
  • [ 4 ] [Li, Mei-Juan]School of Economics & Management, Fuzhou University, Fuzhou; 350116, China
  • [ 5 ] [Wang, Ying-Ming]School of Economics & Management, Fuzhou University, Fuzhou; 350116, China
  • [ 6 ] [Wang, Ying-Ming]Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, Fuzhou University, Fuzhou; 350116, China

Reprint 's Address:

  • [wang, ying-ming]key laboratory of spatial data mining & information sharing of ministry of education, fuzhou university, fuzhou; 350116, china;;[wang, ying-ming]school of economics & management, fuzhou university, fuzhou; 350116, china

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Source :

European Journal of Operational Research

ISSN: 0377-2217

Year: 2020

Issue: 1

Volume: 280

Page: 219-229

5 . 3 3 4

JCR@2020

6 . 0 0 0

JCR@2023

ESI HC Threshold:132

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 47

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 5

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