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Returns to growth in a non parametric DEA approach

Author

Listed:
  • B. K. Sahoo
  • K. Kerstens

    (UMR CNRS 8179 - Université de Lille, Sciences et Technologies - CNRS - Centre National de la Recherche Scientifique)

  • K. Tone

Abstract

No abstract is available for this item.

Suggested Citation

  • B. K. Sahoo & K. Kerstens & K. Tone, 2012. "Returns to growth in a non parametric DEA approach," Post-Print hal-00684430, HAL.
    • Handle: RePEc:hal:journl:hal-00684430
    DOI: 10.1111/j.1475-3995.2012.00841.x
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    Citations

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    Cited by:

    1. 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.
    2. Isabelle Piot-Lepetit & Joseph Nzongang, 2019. "Performance assessment and definition of improvement paths for microfinance institutions: An application to a network of village banks in Cameroon," Post-Print hal-02619461, HAL.
    3. Mehdiloozad, Mahmood & Sahoo, Biresh K. & Roshdi, Israfil, 2014. "A generalized multiplicative directional distance function for efficiency measurement in DEA," European Journal of Operational Research, Elsevier, vol. 232(3), pages 679-688.
    4. Alireza Amirteimoori & Biresh K. Sahoo & Saber Mehdizadeh, 2023. "Data envelopment analysis for scale elasticity measurement in the stochastic case: with an application to Indian banking," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-36, December.
    5. 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.
    6. Ayouba, Kassoum & Boussemart, Jean-Philippe & Lefer, Henri-Bertrand & Leleu, Hervé & Parvulescu, Raluca, 2019. "A measure of price advantage and its decomposition into output- and input-specific effects," European Journal of Operational Research, Elsevier, vol. 276(2), pages 688-698.
    7. Qingxian An & Fanyong Meng & Beibei Xiong & Zongrun Wang & Xiaohong Chen, 2020. "Assessing the relative efficiency of Chinese high-tech industries: a dynamic network data envelopment analysis approach," Annals of Operations Research, Springer, vol. 290(1), pages 707-729, July.
    8. Sahoo, Biresh K. & Zhu, Joe & Tone, Kaoru & Klemen, Bernhard M., 2014. "Decomposing technical efficiency and scale elasticity in two-stage network DEA," European Journal of Operational Research, Elsevier, vol. 233(3), pages 584-594.
    9. Mehdiloozad, Mahmood & Zhu, Joe & Sahoo, Biresh K., 2018. "Identification of congestion in data envelopment analysis under the occurrence of multiple projections: A reliable method capable of dealing with negative data," European Journal of Operational Research, Elsevier, vol. 265(2), pages 644-654.
    10. Mahmood Mehdiloozad & Mohammad Bagher Ahmadi & Biresh K. Sahoo, 2017. "On classifying decision making units in DEA: a unified dominance-based model," Annals of Operations Research, Springer, vol. 250(1), pages 167-184, March.
    11. Misra, Biswa Swarup & Sahoo, Biresh, 2024. "What Drives Profitability: Level or Growth Efficiency?," MPRA Paper 120360, University Library of Munich, Germany, revised 05 Mar 2024.
    12. Chang, Dong-Shang & Liu, Wenrong & Yeh, Li-Ting, 2013. "Incorporating the learning effect into data envelopment analysis to measure MSW recycling performance," European Journal of Operational Research, Elsevier, vol. 229(2), pages 496-504.
    13. 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.
    14. Sahoo, Biresh K. & Mehdiloozad, Mahmood & Tone, Kaoru, 2014. "Cost, revenue and profit efficiency measurement in DEA: A directional distance function approach," European Journal of Operational Research, Elsevier, vol. 237(3), pages 921-931.

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