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Measuring environmental performance with stochastic environmental DEA: The case of APEC economies

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  • Jin, Jingliang
  • Zhou, Dequn
  • Zhou, Peng

Abstract

Data envelopment analysis (DEA) has been widely used for environmental performance measurement at different levels. Most of environmental DEA models take the deterministic form without considering random factors. This paper presents a stochastic environmental DEA model that can measure environmental performance under random conditions. The proposed model has been applied to evaluate the environmental performance of Asia-Pacific Economic Cooperation (APEC) economies in 2010. The results indicate that the stochastic pure environmental performance of APEC economies is indeed affected by random factors. Especially, the fluctuation of Republic of Korea's stochastic pure environmental performance is most obvious among all the APEC economies.

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  • Jin, Jingliang & Zhou, Dequn & Zhou, Peng, 2014. "Measuring environmental performance with stochastic environmental DEA: The case of APEC economies," Economic Modelling, Elsevier, vol. 38(C), pages 80-86.
    • Handle: RePEc:eee:ecmode:v:38:y:2014:i:c:p:80-86
    DOI: 10.1016/j.econmod.2013.12.017
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    19. Li, Tianxiang & Baležentis, Tomas & Makutėnienė, Daiva & Streimikiene, Dalia & Kriščiukaitienė, Irena, 2016. "Energy-related CO2 emission in European Union agriculture: Driving forces and possibilities for reduction," Applied Energy, Elsevier, vol. 180(C), pages 682-694.
    20. Wang, Zhaohua & He, Weijun & Wang, Bo, 2017. "Performance and reduction potential of energy and CO2 emissions among the APEC's members with considering the return to scale," Energy, Elsevier, vol. 138(C), pages 552-562.
    21. Claude Francoeur & Faten Lakhal & Safa Gaaya & Itidel Ben Saad, 2021. "How do powerful CEOs influence corporate environmental performance?," Post-Print hal-02976839, HAL.
    22. Grebel, Thomas & Islam, Rohidul, 2022. "Endogenous cap reduction in Emission Trading Systems," Ilmenau Economics Discussion Papers 169, Ilmenau University of Technology, Institute of Economics.
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