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Nonparametric efficiency analysis under uncertainty using data envelopment analysis

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  • Sengupta, Jati K.

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  • Sengupta, Jati K., 2005. "Nonparametric efficiency analysis under uncertainty using data envelopment analysis," International Journal of Production Economics, Elsevier, vol. 95(1), pages 39-49, January.
    • Handle: RePEc:eee:proeco:v:95:y:2005:i:1:p:39-49
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    References listed on IDEAS

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    1. Talluri, Srinivas & Narasimhan, Ram, 2003. "Vendor evaluation with performance variability: A max-min approach," European Journal of Operational Research, Elsevier, vol. 146(3), pages 543-552, May.
    2. Peter Bogetoft, 2000. "DEA and Activity Planning under Asymmetric Information," Journal of Productivity Analysis, Springer, vol. 13(1), pages 7-48, January.
    3. Jati K. Sengupta, 2000. "Stochastic Efficiency Analysis," World Scientific Book Chapters, in: Dynamic And Stochastic Efficiency Analysis Economics of Data Envelopment Analysis, chapter 4, pages 97-128, World Scientific Publishing Co. Pte. Ltd..
    4. Sengupta, Jati K., 1999. "A dynamic efficiency model using data envelopment analysis," International Journal of Production Economics, Elsevier, vol. 62(3), pages 209-218, September.
    5. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
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    Cited by:

    1. Wang, Mei-Hui & Huang, Tai-Hsin, 2007. "A study on the persistence of Farrell's efficiency measure under a dynamic framework," European Journal of Operational Research, Elsevier, vol. 180(3), pages 1302-1316, August.
    2. Ramakrushna Panigrahi, 2021. "Evaluating Level Efficiency Versus Growth Efficiency in the Indian Automobile Industry in a Non-parametric DEA Approach," Global Business Review, International Management Institute, vol. 22(4), pages 963-976, August.
    3. Ramakrushna Panigrahi, 2021. "Returns to Growth in Indian Automobile Industry: A Non-Parametric Data Envelopment Analysis (DEA) Approach," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(4), pages 747-765, December.
    4. Pérez-López, Gemma & Prior, Diego & Zafra-Gómez, José L., 2018. "Temporal scale efficiency in DEA panel data estimations. An application to the solid waste disposal service in Spain," Omega, Elsevier, vol. 76(C), pages 18-27.
    5. Sahoo, Biresh K. & Tone, Kaoru, 2013. "Non-parametric measurement of economies of scale and scope in non-competitive environment with price uncertainty," Omega, Elsevier, vol. 41(1), pages 97-111.
    6. Sahoo, Biresh K & Khoveyni, Mohammad & Eslami, Robabeh & Chaudhury, Pradipta, 2016. "Returns to scale and most productive scale size in DEA with negative data," European Journal of Operational Research, Elsevier, vol. 255(2), pages 545-558.
    7. Devadoss, Stephen & Luckstead, Jeff, 2010. "An analysis of apple supply response," International Journal of Production Economics, Elsevier, vol. 124(1), pages 265-271, March.
    8. Davtalab-Olyaie, Mostafa & Asgharian, Masoud & Nia, Vahid Partovi, 2019. "Stochastic ranking and dominance in DEA," International Journal of Production Economics, Elsevier, vol. 214(C), pages 125-138.

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