Efficiency Evaluation of Chinese Provincial Industrial System Based on Network DEA Method

Kai He, Nan Zhu, Wu Jiang and Chuanjin Zhu
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Kai He: School of Statistics, Southwestern University of Finance and Economics, Chengdu 611130, China
Nan Zhu: Western Business School, Southwestern University of Finance and Economics, Chengdu 611130, China
Wu Jiang: School of Statistics, Southwestern University of Finance and Economics, Chengdu 611130, China
Chuanjin Zhu: School of Statistics, Southwestern University of Finance and Economics, Chengdu 611130, China

Sustainability, 2022, vol. 14, issue 9, 1-24

Abstract: The operation process of the Chinese provincial industrial system consists of four stages, namely the production (P) stage, wastewater treatment (WWT) stage, solid waste treatment (SWT) stage, and sulfur dioxide treatment (SDT) stage. Based on this structure, a four-stage data envelopment analysis (DEA) model is developed to evaluate the eco-efficiency, production efficiency, wastewater treatment efficiency, solid waste treatment efficiency, and sulfur dioxide treatment efficiency of provincial industrial systems in China, considering the undesirable output and variable returns to scale (VRS). Based on the objective data from 2011 to 2015, the following conclusions are drawn: Firstly, the eco-efficiency of the Chinese provincial industrial system has not been significantly improved during the study period, and the average eco-efficiency score is low, only 0.3805. Secondly, the reasons for the low eco-efficiency of the industrial system are different in the Eastern, Central, Western, and Northeastern regions. Thirdly, compared with the P stage, industrial WWT stage, and SWT stage, the efficiency of SDT stage is still relatively weak.

Keywords: data envelopment analysis; industrial system; wastewater; solid waste; sulfur dioxide (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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