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A new super-efficiency model in the presence of negative data

Author

Listed:
  • A Hadi-Vencheh

    (Islamic Azad University, Isfahan, Iran)

  • A Esmaeilzadeh

    (Islamic Azad University, Isfahan, Iran)

Abstract

This paper proposes a new super-efficiency model when some factors (inputs/outputs) are negative. The proposed model employs the RDM model (Portela et al, 2004) for ranking decision-making units (DMUs). Our model ranks the DMUs and determines the type of efficiency for each DMU, simultaneously

Suggested Citation

  • A Hadi-Vencheh & A Esmaeilzadeh, 2013. "A new super-efficiency model in the presence of negative data," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(3), pages 396-401, March.
  • Handle: RePEc:pal:jorsoc:v:64:y:2013:i:3:p:396-401
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    Citations

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    Cited by:

    1. Lin, Shuguang & Shi, Hai-Liu & Wang, Ying-Ming, 2022. "An integrated slacks-based super-efficiency measure in the presence of nonpositive data," Omega, Elsevier, vol. 111(C).
    2. Ruiyue Lin & Zhiping Chen, 2017. "A directional distance based super-efficiency DEA model handling negative data," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(11), pages 1312-1322, November.
    3. Zohreh Sadeghi & Reza Farzipoor Saen & Mahdi Moradzadehfard, 2022. "RETRACTED ARTICLE: Developing a network data envelopment analysis model for appraising sustainable supply chains: a sustainability accounting approach," Operations Management Research, Springer, vol. 15(3), pages 809-824, December.
    4. Antunes, Jorge & Tan, Yong & Wanke, Peter & Jabbour, Charbel Jose Chiappetta, 2023. "Impact of R&D and innovation in Chinese road transportation sustainability performance: A novel trigonometric envelopment analysis for ideal solutions (TEA-IS)," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    5. Aparicio, Juan & Pastor, Jesus T. & Vidal, Fernando, 2016. "The directional distance function and the translation invariance property," Omega, Elsevier, vol. 58(C), pages 1-3.
    6. Ning Zhang & Haisheng Li, 2024. "Bayesian Vector Autoregression Analysis of Chinese Coal-Fired Thermal Power Plants," Sustainability, MDPI, vol. 16(19), pages 1-16, September.
    7. Khodadadipour, M. & Hadi-Vencheh, A. & Behzadi, M.H. & Rostamy-malkhalifeh, M., 2021. "Undesirable factors in stochastic DEA cross-efficiency evaluation: An application to thermal power plant energy efficiency," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 613-628.
    8. Lee, Hsuan-Shih, 2021. "Slacks-based measures of efficiency and super-efficiency in presence of nonpositive data," Omega, Elsevier, vol. 103(C).
    9. Lin, Ruiyue & Liu, Yue, 2019. "Super-efficiency based on the directional distance function in the presence of negative data," Omega, Elsevier, vol. 85(C), pages 26-34.

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