A data envelopment analysis approach to clustering operating units for resource allocation purposes
Bodies such as those funding education or health services normally make use of marginal resource levels (e.g. the level of funding per pupil) to allocate resources to operating units. It is typically desired that marginal resource levels should encourage the operating units to use resources as efficiently as possible. This paper develops a method for simultaneously clustering operating units and determining a different set of marginal resource levels for resourcing the units of each cluster, consistent with the foregoing aim. The user controls the number of clusters created, striking a balance between the multiplicity of sets of marginal resource levels estimated and the strength of the incentive offered to operating units to use a resource efficiently. The clusters identified can prove useful in themselves in that operating units sharing similar environmental conditions and/or value systems are identified.
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Volume (Year): 24 (1996)
Issue (Month): 4 (August)
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- 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.
- Boussofiane, A. & Dyson, R. G. & Thanassoulis, E., 1991. "Applied data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 52(1), pages 1-15, May.
- Michael Barrow & Adam Wagstaff, 1989. "Efficiency measurement in the public sector: an appraisal," Fiscal Studies, Institute for Fiscal Studies, vol. 10(1), pages 72-97, February.
- 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.
- 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.
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