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Mar Molinero, Cecilio (2008)
Publisher: University of Kent Canterbury
Languages: English
Types: Book
Subjects: H1
Data Envelopment Analysis requires all the units that are being compared to be homogeneous. One of the homogeneity requirements is that they all share the same inputs\ud and outputs. In practice this is often not the case, as some units carry out more activities than others and may use more inputs to create more outputs than the rest. In an extreme case, some Decision Making Units (DMUs) may specialise in a single activity while others may aim for diversification. We present a new model that can estimate efficiencies for the various activities, even when some DMUs do not engage in some of the activities and do not share the same set of inputs/outputs with the remaining DMUS. The model is demonstrated with some data from the literature.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • Athanassopoulos, A. D. & Thanassoulis, E. (1991) Separating market efficiency from profitability and itsimplicationsfor planning. Journal of the Operational Research Society, 46, 20-34.
    • Beasley, J. E. (1995) Determining teaching and research efficiencies. The Journal of the Operational Research Society, 46, 441-452.
    • Diez-Ticio, A. & Mancebon, M. J. (2002) The efficiency of the Spanish police service: an application of the multiactivity DEA modelApplied Economics, 34, 351-362.
    • Dyson, R. G., Allen, R., Camanho, A. S., Podinovski, V. V., Sarrico, C. S. & Shale, E. A. (2001) Pitfalls and protocols in DEA. European Journal of Operational Research, 132, 245-259.
    • Farrell, M. J. (1957) The measurement of productive efficiency. Journal of the Royal Statistical Society. SeriesA(General), 120, 253-290.
    • Fizel, J. L. & Nunnikhoven, T. S. (1992) Technical efficiency of for-profit and non-profit nursing homes. Managerial and Decision Economics, 13, 429-439.
    • Haas, D. A. & Murphy, F. H. (2003) Compensating for non-homogeneity in decision-making units in data envelopment analysis. European Journal of Operational Research, 144, 530-544.
    • Mancebon, M. J. & Mar Molinero, C. (2000) Performance in primary schools. Journal of the Operational Research Society, 51, 843-854.
    • Mar Molinero, C. (1996) On the joint determination of efficiencies in a data envelopment analysis context. The Journal of the Operational Research Society, 47, 1273-1279.
    • Mar Molinero, C. & Tsai, P. F. (1997) Some mathematical properties of a DEA model for the joint determination of efficiencies. The Journal of the Operational Research Society, 48, 51-56.
    • Ray, S. C. (1991) Resource use efficiency in public schools: a study of Connecticut data. Management Science, 37, 1620-1628.
    • Salerno, C. (2006) Using data envelopment analysis to improve estimates of higher education institutions. Education Economics, 14, 281-295.
    • Sarrico, C. S. & Dyson, R. G. (2000) Using DEA for planning in UK universities: an institutional perspective. The Journal of the Operational Research Society, 51, 789-800.
    • Sexton, T. R., Sleeper, S. & Taggart Jr, R. E. (1994) Improving pupil transportation in North Carolina. Interfaces, 24, 87-103.
    • Soteriou, A. & Zenios, S. A. (1999) Operations, quality, and profitability in the provision of banking services. Management Science, 45, 1221.
    • Tsai, P. F. & Mar Molinero, C. (2002) A variable returns to scale data envelopment analysis model for the joint determination of efficiencies with an example of the UK health service. European Journal of Operational Research, 141, 21-38.
    • Yu, M.-M. (2007) Measuring the efficiency and return to scale status of multi-mode bus transitevidence from Taiwan'sbussystem.Applied EconomicsLetters.
    • Zenios, C. V., Zenios, S. A., Agathocleous, K. & Soteriou, A. C. (1999) Benchmarks of the efficiency of bank branches. Interfaces, 29, 37-51.
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