Get Data Envelopment Analysis in the Service Sector PDF

By Lawrence M. Seiford (auth.), Georg Westermann (eds.)

ISBN-10: 3663083438

ISBN-13: 9783663083436

ISBN-10: 3824470128

ISBN-13: 9783824470129

The private and non-private provider region indicates a few specificity that classical dimension and benchmarking tools mostly fail to serve. lacking costs for public items or designated firm-specific ideas to an analogous challenge - and, hence, diverse construction ideas - are just of the often bobbing up difficulties. This quantity emphasizes the probabilities to regulate and strengthen the method of knowledge Envelopment research so one can meet the necessities of the provider quarter and highlights the frequent software of the device - in particular to difficulties the orthodox equipment fail to unravel or to rising fields in the carrier sector.

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S. National Parks, in: Measuring Efficiency: An Assessment of Data Envelopment Analysis, p. 47-71, Editor Richard H. Silkman. New Directions for Program Evaluation, No. : American Evaluation Association,. S. Education, Ph. D. dissertation, School of Urban and Public Affairs, Carnegie-Mellon University. Sant, R. (1989): Measuring the Efficiency of Pubs for Allied Breweries Ltd Using DEA, Unpublished M. Sc. thesis, University of Warwick. Schinnar, A. P. (1980): Frameworks for Social Accounting and Monitoring of Invariance, Efficiency and Heterogeneity, in: Models for Alternative Development Strategies, Hague, The Netherlands: Institute of Social Studies.

This is in line with proposition 1 in Banker and Morey (1986a). While the restrictions for the non-discretionary cases allow all reference technologies which have a (weighted) population - measured in actual numbers or in categories - of less than the community of pharmacy #15 the baseline specification only allows reference technologies with population less than or equal to 8 0 *(population of#15). 2). While one can clearly identify the effect of using different specifications the actual efficiency scores are very similar when looking at the results for #15.

1997): Econometric Analysis, New York. Lovell, K. (1995): Linear programming approaches to the measurement of productive efficiency, Top 2: 174-248. Ray, S. (1988): Data Envelopment Analysis, Nondiscretionary Inputs and Efficiency: An Alternative Interpretation, Socio-Economic Planning Sciences 22: 167- 176. Ray, S. (1991): Resource-Use Efficiency in Public Schools: A Study of Connecticut Data, Management Science 37: 1620-28. Ruggiero, J. (1996): On the measurement of technical efficiency in the public sector, European Journal of Operations Research 90: 553- 565.

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Data Envelopment Analysis in the Service Sector by Lawrence M. Seiford (auth.), Georg Westermann (eds.)


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