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Productivity and Efficiency Analysis

In: Efficiency Models in Data Envelopment Analysis

Author

Listed:
  • Jati Sengupta
  • Biresh Sahoo

Abstract

Productivity and economic efficiency analysis has entered a new phase, since the data envelopment analysis (DEA) introduced a nonparametric method of measuring technical and allocative efficiency. The DEA efficiency models have three most interesting features, which have fostered numerous applications in several disciplines, for example, microeconomics, operations research, and econometrics. The first feature is the specification and estimation of a multi-output multi-input production frontier, which can be estimated without any price information. Second, the production frontiers can be estimated for public sector decision making units (DMUs) with observed input and output data only and every DMU can be compared in terms of its relative efficiency in respect of the whole group comprising all DMUs. Third, if the market data in the form of output and input prices are available, then the DEA model can be used to compute overall cost efficiency and allocative efficiency. Thus a cost frontier can be estimated along with a productive frontier. In a cost frontier, output technical inefficiency indicates the amount by which a firm or DMU can increase output, holding cost constant and input technical inefficiency captures the amount by which a firm can reduce costs, holding output constant.

Suggested Citation

  • Jati Sengupta & Biresh Sahoo, 2006. "Productivity and Efficiency Analysis," Palgrave Macmillan Books, in: Efficiency Models in Data Envelopment Analysis, chapter 1, pages 1-35, Palgrave Macmillan.
    • Handle: RePEc:pal:palchp:978-0-230-59817-1_1
    DOI: 10.1057/9780230598171_1
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    Citations

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    Cited by:

    1. 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.
    2. Sahoo, Biresh K. & Tone, Kaoru, 2009. "Radial and non-radial decompositions of profit change: With an application to Indian banking," European Journal of Operational Research, Elsevier, vol. 196(3), pages 1130-1146, August.
    3. 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.
    4. 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.
    5. Ghanem, Marwa Ghareeb & Shafei, Mahmoud A. & El-Rasoul, Ahmed Abou El-Yazid, 2017. "The economic efficiency analysis of some rice mills in Egypt by using DEA and SFA," MPRA Paper 98196, University Library of Munich, Germany.
    6. 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.
    7. Sahoo, Biresh K. & Acharya, Debashis, 2010. "An alternative approach to monetary aggregation in DEA," European Journal of Operational Research, Elsevier, vol. 204(3), pages 672-682, August.
    8. 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.
    9. 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.
    10. Fusco, Elisa & Vidoli, Francesco & Sahoo, Biresh K., 2018. "Spatial heterogeneity in composite indicator: A methodological proposal," Omega, Elsevier, vol. 77(C), pages 1-14.
    11. 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.
    12. Sahoo, Biresh K. & Singh, Ramadhar & Mishra, Bineet & Sankaran, Krithiga, 2017. "Research productivity in management schools of India during 1968-2015: A directional benefit-of-doubt model analysis," Omega, Elsevier, vol. 66(PA), pages 118-139.
    13. Sahoo, Biresh K. & Tone, Kaoru, 2009. "Decomposing capacity utilization in data envelopment analysis: An application to banks in India," European Journal of Operational Research, Elsevier, vol. 195(2), pages 575-594, June.

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