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

Qing Yang, Xingzi Wan and Huimin Ma
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Qing Yang: School of Management, Wuhan University of Technology, 205 Luoshi Road, Hongshan District, Wuhan 430070, China
Xingzi Wan: School of Management, Wuhan University of Technology, 205 Luoshi Road, Hongshan District, Wuhan 430070, China
Huimin Ma: School of Management, Wuhan University of Technology, 205 Luoshi Road, Hongshan District, Wuhan 430070, China

Sustainability, 2015, vol. 7, issue 4, 1-19

Abstract: 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.

Keywords: green assessment; super-efficiency DEA model; Malmquist index; green sustainable development efficiency (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (27)

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