Abstract
In this chapter, we introduced two methods for measuring efficiency change over time: “window analysis” and “Malmquist index” using non-parametric DEA models.
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Notes
This work was subsequently incorporated in his Ph. D. thesis: G. Klopp (1985), “The Analysis of the Efficiency of Production System with Multiple Inputs and Outputs” (Chicago: University of Illinois at Chicago, Industrial and Systems Engineering College). Also available from University Microfilms, Inc., 300 North Zeeb Road, Ann Arbor, Mich. 48106. See also A. Charnes, T. Clark, W.W. Cooper and B. Golany (1985) “A Developmental Study of Data Envelopment Analysis in Measuring the Efficiency of Maintenance Units in the U.S. Air Force,” Annals of Operations Research 2, pp.95–112. See also W.F. Bowlin (1984) “A Data Envelopment Analysis Approach to Performance Evaluation in Not-for Profit Entities with an Illustrative Application to the U.S. Air Force,” Ph. D. Thesis (Austin, Texas: The University of Texas, Graduate School of Business). Also available from University Microfilms, Inc.
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See Note 1.
K. Tone (2004) “Malmquist Productivity Index: Efficiency Change Over Time,” Chapter 8 in Handbook on Data Envelopment Analysis edited by W. W. Cooper, L. M. Seiford and J. Zhu (Norwell Mass., Kluwer Academic Publishers).
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Cooper, W.W., Seiford, L.M., Tone, K. (2007). Efficiency Change over Time. In: Data Envelopment Analysis. Springer, New York, NY. https://doi.org/10.1007/978-0-387-45283-8_11
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DOI: https://doi.org/10.1007/978-0-387-45283-8_11
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