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author:

Chen, L. (Chen, L..) [1] | Lai, F. (Lai, F..) [2] | Wang, Y.-M. (Wang, Y.-M..) [3] | Huang, Y. (Huang, Y..) [4] | Wu, F.-M. (Wu, F.-M..) [5]

Indexed by:

Scopus

Abstract:

To scientifically evaluate the environmental efficiency (EE) of economic development, this study develops a new two-stage network structure with undesirable intermediate elements to describe the actual production process. According to different relationships between two stages, non-cooperative and cooperative data envelopment analysis (DEA) measure methods are constructed to evaluate the EE of decision-making units (DMUs). An EE decomposition model is then proposed as the second goal to improve the coordination efficiency of DMU. Compared to conventional DEA methods, these EE measure methods not only consider the internal structure of DMUs with undesirable intermediate elements, but also can be used to obtain relatively unique and fair evaluation results for achieving different decision objectives. An empirical study on the Chinese industrial water system is taken as an example to illustrate the effectiveness of these EE measures. The results show that non-cooperative relationships may hinder the sustainable development of the economy and environment, so promoting mutual cooperation between two stages is more in line with the interests of decision makers. © 2018 Elsevier Ltd

Keyword:

Cooperative relationships; Data envelopment analysis; Environmental efficiency; Two-stage structure; Undesirable intermediate element

Community:

  • [ 1 ] [Chen, L.]Decision Science Institute, School of Economics & Management, Fuzhou University, Fuzhou, 350116, China
  • [ 2 ] [Chen, L.]College of Business, University of Southern Mississippi, Hattiesburg, MS 39560, United States
  • [ 3 ] [Lai, F.]Research Center for Smarter Supply Chain, School of Business, Soochow University, Suzhou, 215006, China
  • [ 4 ] [Lai, F.]College of Business, University of Southern Mississippi, Hattiesburg, MS 39560, United States
  • [ 5 ] [Wang, Y.-M.]Decision Science Institute, School of Economics & Management, Fuzhou University, Fuzhou, 350116, China
  • [ 6 ] [Huang, Y.]Decision Science Institute, School of Economics & Management, Fuzhou University, Fuzhou, 350116, China
  • [ 7 ] [Huang, Y.]College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
  • [ 8 ] [Wu, F.-M.]School of Economics and Management, Minjiang University, Fuzhou, 350108, China

Reprint 's Address:

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

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Source :

Computers and Industrial Engineering

ISSN: 0360-8352

Year: 2018

Volume: 119

Page: 388-403

3 . 5 1 8

JCR@2018

6 . 7 0 0

JCR@2023

ESI HC Threshold:174

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: 2

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