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Evaluating Target Achievements in the Public Sector: An Application of a Rare Non-Parametric DEA and Malmquist Indices

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  • James Odeck

Abstract

This paper provides an assessment of the extent to which targets set by a public authority are achieved by its operational units. A rare DEA framework and its subsequent Malmquist indices are applied on data comprising 19 units over a four year period of 1996 to 1999. The mean efficiency scores by which targets are achieved across the sample years are moderate, in the range 0.81 to 0.93. Average productivity progress across the sample years has been 26 percent. The results illustrate the usefulness of DEA even when there are no inputs and the decomposable Malmquist index for productivity is an asset in exploring causes of productivity growth.

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  • James Odeck, 2005. "Evaluating Target Achievements in the Public Sector: An Application of a Rare Non-Parametric DEA and Malmquist Indices," Journal of Applied Economics, Taylor & Francis Journals, vol. 8(1), pages 171-190, May.
    • Handle: RePEc:taf:recsxx:v:8:y:2005:i:1:p:171-190
    DOI: 10.1080/15140326.2005.12040623
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    Cited by:

    1. Joanicjusz Nazarko & Marta Komuda & Katarzyna Kuźmicz & Elżbieta Szubzda & Joanna Urban, 2008. "The DEA method in public sector institutions efficiency analysis on the basis of higher education institutions," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 18(4), pages 89-105.
    2. Magnus Söderberg, 2009. "A Broad Performance Benchmark Based On Citizens’ Preferences: The Case Of Swedish Public Transportation," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 80(4), pages 579-603, December.
    3. Karagiannis, Giannis & Knox Lovell, C.A., 2016. "Productivity measurement in radial DEA models with a single constant input," European Journal of Operational Research, Elsevier, vol. 251(1), pages 323-328.
    4. Byeong U. Park & Léopold Simar & Valentin Zelenyuk, 2013. "Non-Parametric Approach to Dynamic Time Series Discrete Choice Models," CEPA Working Papers Series WP092013, School of Economics, University of Queensland, Australia.
    5. António Afonso & Sónia Fernandes, 2008. "Assessing Hospital Efficiency: Non-parametric Evidence for Portugal," Working Papers Department of Economics 2008/07, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.

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