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Title A novel cooperative game network DEA model for marine circular economy performance evaluation of China
ID_Doc 3550
Authors Ding, LL; Lei, L; Wang, L; Zhang, LF; Calin, AC
Title A novel cooperative game network DEA model for marine circular economy performance evaluation of China
Year 2020
Published
DOI 10.1016/j.jclepro.2020.120071
Abstract This paper proposes a novel cooperative game network DEA model for evaluating marine circular economy (MCE) performance. The proposed model considers the bidirectional link between the economic production (EP) and environmental treatment (ET) subsystems within the MCE system. Then, the cooperative game strategy between subsystems is modeled by maximizing the factor inefficiency both of subsystems into the model's measurement from a centralized control perspective. The evaluation results of China's regional MCE performances over 2006-2015 show that while most coastal areas have a better efficiency score for the EP system, their performance of the ET system is worse and leads to poor MCE performances. In addition, converge analysis indicates that there exists beta converge of efficiency difference across coastal regions in the long term. Furthermore, the efficiency decomposition reveals that many inefficient environmental treatment inputs contribute to the worse performance of the ET system. Based on the above findings, several specific policy implications for the existing problems are provided to promote China's MCE. (C) 2020 Elsevier Ltd. All rights reserved.
Author Keywords Marine circular economy; Two-stage game DEA; Convergence analysis; Efficiency decomposition
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
EID WOS:000516788400009
WoS Category Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences
Research Area Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology
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