Literature DB >> 33321355

Efficiency evaluation for regional industrial water use and wastewater treatment systems in China: A dynamic interactive network slacks-based measure model.

Feng Yang1, Dawei Wang2, Linlin Zhao3, Fangqing Wei1.   

Abstract

This paper develops a dynamic interactive network slacks-based measure (SBM) model to assess the performance of regional industrial water systems (IWSs) in China. Such a system can be separated into a water use subsystem (WUS) and a wastewater treatment subsystem (WTS). Within this, wastewater and recycled water are interactive intermediate variables, and the capacity of facilities for treatment of wastewater (CTW) can be considered as a carry-over variable, reflecting dynamic components. Based on the proposed approach, we specify an evaluation technique for the subsystem, period, and subsystem period efficiencies. We apply the proposed approach to analyze the efficiencies of 30 regional IWSs in China during 2008-2014, and the results show the carry-over CTW has notable impacts on the overall efficiency of the IWS, especially on WTS efficiency. Only four regions are deemed overall efficient, namely, Beijing, Tianjin, Fujian, and Hainan. The inefficiency of the whole system arises from weaknesses in both the WUS and the WTS. It was found that the eastern area has the highest mean overall efficiency and mean subsystem efficiencies among the three major geographical areas of China.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Carry-over variable; Data envelopment analysis; Industrial water system in China; Interactive intermediate variables; Slacks-based measure

Year:  2020        PMID: 33321355     DOI: 10.1016/j.jenvman.2020.111721

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  1 in total

1.  Carbon emission efficiency measurement and influencing factor analysis of nine provinces in the Yellow River basin: based on SBM-DDF model and Tobit-CCD model.

Authors:  Yuan Zhang; Xiangyang Xu
Journal:  Environ Sci Pollut Res Int       Date:  2022-01-13       Impact factor: 5.190

  1 in total

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