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A robust network DEA model for sustainability assessment:An application to Chinese Provinces
This paper constructs an Environmental Sustainability index in order to investigate regional efficiency in China between 2000 and 2012. The Environmental Sustainability index consists of a Production Efficiency index and an Eco-efficiency index. A multiplicative relational network data envelopment analysis model is applied, and a window analysis is conducted to capture the efficiency trends over time. The results reveal significant heterogeneity among Chinese provinces for the Environmental Sustainability and the Eco-efficiency indices, while there is a high level of Production Efficiency across all provinces. Furthermore, there are large differences among geographical areas. Specifically, high Production Efficiency levels are reported for the eastern area, whereas, high Ecoefficiency levels are reported for the western area. The reported results provide valuable insights to decision makers, revealing a high potential for improvement in the overall Environmental Sustainability score, especially for the eastern and middle areas. In addition, regional heterogeneity should be taken into account when considering new legislation.
A robust network DEA model for sustainability assessment:An application to Chinese Provinces
This paper constructs an Environmental Sustainability index in order to investigate regional efficiency in China between 2000 and 2012. The Environmental Sustainability index consists of a Production Efficiency index and an Eco-efficiency index. A multiplicative relational network data envelopment analysis model is applied, and a window analysis is conducted to capture the efficiency trends over time. The results reveal significant heterogeneity among Chinese provinces for the Environmental Sustainability and the Eco-efficiency indices, while there is a high level of Production Efficiency across all provinces. Furthermore, there are large differences among geographical areas. Specifically, high Production Efficiency levels are reported for the eastern area, whereas, high Ecoefficiency levels are reported for the western area. The reported results provide valuable insights to decision makers, revealing a high potential for improvement in the overall Environmental Sustainability score, especially for the eastern and middle areas. In addition, regional heterogeneity should be taken into account when considering new legislation.
A robust network DEA model for sustainability assessment:An application to Chinese Provinces
Chen, Zhongfei (Autor:in) / Kourtzidis, Stavros (Autor:in) / Tzeremes, Panayiotis (Autor:in) / Tzeremes, Nickolaos (Autor:in)
01.03.2022
Chen , Z , Kourtzidis , S , Tzeremes , P & Tzeremes , N 2022 , ' A robust network DEA model for sustainability assessment : An application to Chinese Provinces ' , Operational Research , vol. 22 , no. 1 , pp. 235-262 . https://doi.org/10.1007/s12351-020-00553-x
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
/dk/atira/pure/subjectarea/asjc/1800/1803 , /dk/atira/pure/subjectarea/asjc/1800/1804 , name=Management Science and Operations Research , name=Computational Theory and Mathematics , name=Management of Technology and Innovation , Production efficiency , Probability and Uncertainty , /dk/atira/pure/subjectarea/asjc/1700/1703 , Eco-efficiency , name=Modelling and Simulation , Network data envelopment analysis , /dk/atira/pure/subjectarea/asjc/2600/2611 , Chinese provinces , name=Numerical Analysis , /dk/atira/pure/subjectarea/asjc/1400/1405 , /dk/atira/pure/subjectarea/asjc/1400/1408 , /dk/atira/pure/subjectarea/asjc/2600/2612 , Environmental sustainability , name=Statistics , name=Strategy and Management
DDC:
690
Sustainability assessment with time-series scores: a case study of Chinese provinces
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