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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Qing Yang & Xingzi Wan & Huimin Ma, 2015. "Assessing Green Development Efficiency of Municipalities and Provinces in China Integrating Models of Super-Efficiency DEA and Malmquist Index," Sustainability, MDPI, vol. 7(4), pages 1-19, April.
    • Handle: RePEc:gam:jsusta:v:7:y:2015:i:4:p:4492-4510:d:48280
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    References listed on IDEAS

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