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author:

Chen, Lei (Chen, Lei.) [1] (Scholars:陈磊) | Huang, Yan (Huang, Yan.) [2] | Li, Mei-Juan (Li, Mei-Juan.) [3] (Scholars:李美娟) | Wang, Ying-Ming (Wang, Ying-Ming.) [4] (Scholars:王应明)

Indexed by:

SSCI EI Scopus SCIE

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. (C) 2019 Elsevier B.V. All rights reserved.

Keyword:

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

Community:

  • [ 1 ] [Chen, Lei]Fuzhou Univ, Sch Econ & Management, Fuzhou 350116, Fujian, Peoples R China
  • [ 2 ] [Huang, Yan]Fuzhou Univ, Sch Econ & Management, Fuzhou 350116, Fujian, Peoples R China
  • [ 3 ] [Li, Mei-Juan]Fuzhou Univ, Sch Econ & Management, Fuzhou 350116, Fujian, Peoples R China
  • [ 4 ] [Wang, Ying-Ming]Fuzhou Univ, Sch Econ & Management, Fuzhou 350116, Fujian, Peoples R China
  • [ 5 ] [Wang, Ying-Ming]Fuzhou Univ, Minist Educ, Key Lab Spatial Data Min & Informat Sharing, Fuzhou 350116, Fujian, Peoples R China
  • [ 6 ] [Huang, Yan]Fujian Agr & Forestry Univ, Coll Comp & Informat Sci, Fuzhou 350002, Fujian, Peoples R China

Reprint 's Address:

  • 王应明

    [Wang, Ying-Ming]Fuzhou Univ, Sch Econ & Management, Fuzhou 350116, Fujian, Peoples R 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 Discipline: ENGINEERING;

ESI HC Threshold:132

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count: 50

SCOPUS Cited Count: 50

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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