A robust network DEA model for sustainability assessment: An application to Chinese Provinces

Zhongfei Chen, Stavros Kourtzidis (Lead / Corresponding author), Panayiotis Tzeremes, Nickolaos Tzeremes

    Research output: Contribution to journalArticlepeer-review

    12 Citations (Scopus)
    355 Downloads (Pure)

    Abstract

    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.
    Original languageEnglish
    Pages (from-to)235-262
    Number of pages28
    JournalOperational Research
    Volume22
    Issue number1
    Early online date12 Feb 2020
    DOIs
    Publication statusPublished - Mar 2022

    Keywords

    • Chinese provinces
    • Eco-efficiency
    • Environmental sustainability
    • Network data envelopment analysis
    • Production efficiency

    ASJC Scopus subject areas

    • Numerical Analysis
    • Modelling and Simulation
    • Strategy and Management
    • Statistics, Probability and Uncertainty
    • Management Science and Operations Research
    • Computational Theory and Mathematics
    • Management of Technology and Innovation

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