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Assessing Green Development Efficiency of Municipalities and Provinces in China Integrating Models of Super-Efficiency DEA and Malmquist Index

School of Management, Wuhan University of Technology, 205 Luoshi Road, Hongshan District, Wuhan 430070, China
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Academic Editor: Marc A. Rosen
Sustainability 2015, 7(4), 4492-4510; https://doi.org/10.3390/su7044492
Received: 31 October 2014 / Revised: 9 March 2015 / Accepted: 11 March 2015 / Published: 16 April 2015
In order to realize economic and social green development, to pave a pathway towards China’s green regional development and develop effective scientific policy to assist in building green cities and countries, it is necessary to put forward a relatively accurate, scientific and concise green assessment method. The research uses the CCR (A. Charnes & W. W. Cooper & E. Rhodes) Data Envelopment Analysis (DEA) model to obtain the green development frontier surface based on 31 regions’ annual cross-section data from 2008–2012. Furthermore, in order to classify the regions whereby assessment values equal to 1 in the CCR model, we chose the Super-Efficiency DEA model for further sorting. Meanwhile, according to the five-year panel data, the green development efficiency changes of 31 regions can be manifested by the Malmquist index. Finally, the study assesses the reasons for regional differences; while analyzing and discussing the results may allude to a superior green development pathway for China. View Full-Text
Keywords: green assessment; super-efficiency DEA model; Malmquist index; green sustainable development efficiency green assessment; super-efficiency DEA model; Malmquist index; green sustainable development efficiency
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Yang, Q.; Wan, X.; Ma, H. Assessing Green Development Efficiency of Municipalities and Provinces in China Integrating Models of Super-Efficiency DEA and Malmquist Index. Sustainability 2015, 7, 4492-4510.

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