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Including substitution of inputs in DEA models

Author

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  • Bogusław Guzik

Abstract

W „klasycznych” wariantach metody DEA (np. CCR czy super-efficiency DEA) nakłady są całkowicie komplementarne i nie ma ich substytucji. Bierze się to z tego, że mnożnik poziomu nakładów jest jednolity dla wszystkich nakładów. W artykule wskazano na możliwość uwzględniania substytucji nakładów poprzez wprowadzenie różnych mnożników dla różnych nakładów, co jest charakterystyczne dla tzw. non-radial (nieradialnej) DEA, opracowanej w swoim czasie przez Dysona i Thanassoulisa (1992). Zaproponowano prosty miernik substytucji, oparty na mnożnikach nakładów.

Suggested Citation

  • Bogusław Guzik, 2007. "Including substitution of inputs in DEA models," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 17(3-4), pages 71-92.
    • Handle: RePEc:wut:journl:v:3-4:y:2007:p:71-92
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    References listed on IDEAS

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    1. Per Andersen & Niels Christian Petersen, 1993. "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, INFORMS, vol. 39(10), pages 1261-1264, October.
    2. Thanassoulis, E. & Dyson, R. G., 1992. "Estimating preferred target input-output levels using data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 56(1), pages 80-97, January.
    3. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    4. 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.
    5. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
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