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Measuring the efficiency of decision-making units

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  • Charnes, A.
  • Cooper, W. W.
  • Rhodes, E.
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    File URL: http://www.sciencedirect.com/science/article/B6VCT-48M2KRP-7/2/fb774956109d5a4cb08f7e5506f6c139
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    Bibliographic Info

    Article provided by Elsevier in its journal European Journal of Operational Research.

    Volume (Year): 3 (1979)
    Issue (Month): 4 (July)
    Pages: 339-338

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    Handle: RePEc:eee:ejores:v:3:y:1979:i:4:p:339-338

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    Web page: http://www.elsevier.com/locate/eor

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    Cited by:
    1. Oggioni, G. & Riccardi, R. & Toninelli, R., 2011. "Eco-efficiency of the world cement industry: A data envelopment analysis," Energy Policy, Elsevier, vol. 39(5), pages 2842-2854, May.
    2. Laurens Cherchye & Tom Van Puyenbroeck, 1999. "Learning from input-output mixes in DEA: a proportional measure for slack-based efficient projections," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 20(3), pages 151-161.
    3. Podinovski, V. V., 2004. "Suitability and redundancy of non-homogeneous weight restrictions for measuring the relative efficiency in DEA," European Journal of Operational Research, Elsevier, vol. 154(2), pages 380-395, April.
    4. Green, Rodney H. & Doyle, John R. & Cook, Wade D., 1996. "Efficiency bounds in Data Envelopment Analysis," European Journal of Operational Research, Elsevier, vol. 89(3), pages 482-490, March.
    5. Pardo Martínez, Clara Inés & Silveira, Semida, 2012. "Analysis of energy use and CO2 emission in service industries: Evidence from Sweden," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 5285-5294.
    6. Herbert Lewis & Thomas Sexton, 2004. "Data Envelopment Analysis with Reverse Inputs and Outputs," Journal of Productivity Analysis, Springer, vol. 21(2), pages 113-132, March.
    7. Dusansky, Richard & Wilson, Paul W., 1995. "On the relative efficiency of alternative modes of producing a public sector output: The case of the developmentally disabled," European Journal of Operational Research, Elsevier, vol. 80(3), pages 608-618, February.
    8. Thompson, Russell G. & Brinkmann, Emile J. & Dharmapala, P. S. & Gonzalez-Lima, M. D. & Thrall, Robert M., 1997. "DEA/AR profit ratios and sensitivity of 100 large U.S. banks," European Journal of Operational Research, Elsevier, vol. 98(2), pages 213-229, April.
    9. Yun, Y. B. & Nakayama, H. & Tanino, T., 2004. "A generalized model for data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 157(1), pages 87-105, August.
    10. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    11. Yuan-ho Lee & Lung-Tan Lu & An-De Sung, 2012. "A Measure to the Operational Performance of International Hotels in Taiwan: DEA and Malmquist Approach," Review of Economics & Finance, Better Advances Press, Canada, vol. 2, pages 73-83, February.
    12. Valentina Bosetti & Mariaester Cassinelli & Alessandro Lanza, 2006. "Benchmarking in Tourism Destination, Keeping in Mind the Sustainable Paradigm," Working Papers 2006.12, Fondazione Eni Enrico Mattei.
    13. Alois Kneip & Léopold Simar & Paul Wilson, 2011. "A Computationally Efficient, Consistent Bootstrap for Inference with Non-parametric DEA Estimators," Computational Economics, Society for Computational Economics, vol. 38(4), pages 483-515, November.
    14. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min & Lin, Bruce J.Y., 2013. "Data envelopment analysis 1978–2010: A citation-based literature survey," Omega, Elsevier, vol. 41(1), pages 3-15.
    15. Léopold Simar & Paul Wilson, 2011. "Inference by the m out of n bootstrap in nonparametric frontier models," Journal of Productivity Analysis, Springer, vol. 36(1), pages 33-53, August.
    16. Amiri, Arshia & Ventelou, Bruno, 2011. "Forecasting the role of public expenditure in economic growth Using DEA-neural network approach," MPRA Paper 33955, University Library of Munich, Germany.

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