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author:

Chen, L. (Chen, L..) [1] | Huang, Y. (Huang, Y..) [2] | Li, M.-J. (Li, M.-J..) [3] | Wang, Y.-M. (Wang, Y.-M..) [4]

Indexed by:

Scopus

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:

Cross-evaluation strategy; Data envelopment analysis; Inefficiency; Meta-frontier; Technology gap

Community:

  • [ 1 ] [Chen, L.]School of Economics & Management, Fuzhou University, Fuzhou, 350116, China
  • [ 2 ] [Huang, Y.]School of Economics & Management, Fuzhou University, Fuzhou, 350116, China
  • [ 3 ] [Huang, Y.]College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
  • [ 4 ] [Li, M.-J.]School of Economics & Management, Fuzhou University, Fuzhou, 350116, China
  • [ 5 ] [Wang, Y.-M.]School of Economics & Management, Fuzhou University, Fuzhou, 350116, China
  • [ 6 ] [Wang, Y.-M.]Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, Fuzhou University, Fuzhou, 350116, China

Reprint 's Address:

  • [Wang, Y.-M.]School of Economics & Management, Fuzhou UniversityChina

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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: 52

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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