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Layer-by-layer investigation of the black box: A case of assessing the industrial water-related system in China.

Authors :
Zhuang, Yuan
Zhang, Lina
Chiu, Yung-ho
Pang, Qinghua
Wang, Xiang
Yu, Qianwen
Source :
Journal of Environmental Management. Oct2023, Vol. 344, pN.PAG-N.PAG. 1p.
Publication Year :
2023

Abstract

The essence of efficiency measurement is to model and estimate the performance of a complex system in a comparable form, and the key to modeling is to make the model as close to reality as possible. Based on data envelopment analysis (DEA) methods, this research proposes a layer-by-layer investigation framework for the black box. To illustrate the rationality of this logical framework, this paper presents a triple-opened dynamic recycling model with a series-parallel structure that allows us to assess the efficiency of the industrial water-related system in China. We obtain and compare the system efficiency under different scenarios for opening the black box. The results show that: (1) China's efforts to improve the performance of the resource use sub-stage through industrial production technology and management have been effective. (2) The performance of China's industrial water-related system strongly relates to the water supply subunit with a positive linear correlation. (3) The water supply subunit is the main foot-dragger in the system, and the government needs to place particular attention on improving the performance of labor in this subunit. • Propose a logical framework of a layer-by-layer investigation of the black box. • Construct a triple opened dynamic recycling model with a series-parallel structure. • Analyze and compare system efficiency under four scenarios. • Reveal the foot-dragger and key influencing indicators of system efficiency. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03014797
Volume :
344
Database :
Academic Search Index
Journal :
Journal of Environmental Management
Publication Type :
Academic Journal
Accession number :
171921615
Full Text :
https://doi.org/10.1016/j.jenvman.2023.118353