A Two-Stage Network Data Envelopment Analysis Approach for Measuring and Decomposing Environmental Efficiency
Document Type
Article
Publication Date
5-1-2018
Department
Management and International Business
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.
Publication Title
Computers & Industrial Engineering
Volume
119
First Page
388
Last Page
403
Recommended Citation
Chen, L.,
Lai, F.,
Wang, Y.,
Huang, Y.,
Wu, F.
(2018). A Two-Stage Network Data Envelopment Analysis Approach for Measuring and Decomposing Environmental Efficiency. Computers & Industrial Engineering, 119, 388-403.
Available at: https://aquila.usm.edu/fac_pubs/15104
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