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Museum assessment and FDH technology: a global approach

Author

Listed:
  • MAIRESSE, François

    (Université Libre de Bruxelles, Bruxelles, Belgium)

  • VANDEN EECKAUT, Philippe

    (Center for Operations Research and Econometrics (CORE) and Institut de Statistique, Université catholique de Louvain (UCL), Louvain la Neuve, Belgium)

Abstract

This paper presents a global approach for museum assessment. We define a museum as an entity which needs to be evaluated according to three well defined tasks: preservation, research and communication, and outcomes. We propose a methodology based on the determination of efficiency frontiers. This method assumes a deterministic non parametric and non convex technology (Free Disposal Hull). We analyse technical efficiency, but also scale efficiency with a new restrictive scale approach. We present an ordering of museums into classes representing a level of performance with respect to the three required tasks. We illustrate our analysis using a three year database of museums from the French speaking region of Belgium.

Suggested Citation

  • MAIRESSE, François & VANDEN EECKAUT, Philippe, 1999. "Museum assessment and FDH technology: a global approach," LIDAM Discussion Papers CORE 1999038, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  • Handle: RePEc:cor:louvco:1999038
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    File URL: https://sites.uclouvain.be/core/publications/coredp/coredp1999.html
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    References listed on IDEAS

    as
    1. Kerstens, Kristiaan & Vanden Eeckaut, Philippe, 1999. "Estimating returns to scale using non-parametric deterministic technologies: A new method based on goodness-of-fit," European Journal of Operational Research, Elsevier, vol. 113(1), pages 206-214, February.
    2. A. Bessent & W. Bessent & J. Elam & T. Clark, 1988. "Efficiency Frontier Determination by Constrained Facet Analysis," Operations Research, INFORMS, vol. 36(5), pages 785-796, October.
    3. Fare,Rolf & Grosskopf,Shawna & Lovell,C. A. Knox, 2008. "Production Frontiers," Cambridge Books, Cambridge University Press, number 9780521072069, September.
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    5. G Appa & M Yue, 1999. "On setting scale efficient targets in DEA," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 50(1), pages 60-69, January.
    6. Henry Tulkens & Philippe Eeckaut, 2006. "Nonparametric Efficiency, Progress and Regress Measures For Panel Data: Methodological Aspects," Springer Books, in: Parkash Chander & Jacques Drèze & C. Knox Lovell & Jack Mintz (ed.), Public goods, environmental externalities and fiscal competition, chapter 0, pages 395-429, Springer.
    7. DEPRINS, Dominique & SIMAR, Léopold, 1983. "On Farrell measures of technical efficiency," LIDAM Reprints CORE 589, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
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    9. Fried, Harold O. & Lovell, C. A. Knox & Schmidt, Shelton S. (ed.), 1993. "The Measurement of Productive Efficiency: Techniques and Applications," OUP Catalogue, Oxford University Press, number 9780195072181.
    10. VANDEN EECKAUT, Philippe & TULKENS, Henry & JAMAR, Marie-Astrid, 1993. "Cost efficiency in Belgian municipalities," LIDAM Reprints CORE 1033, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    11. KERSTENS , Kristiaan & VANDEN EECKAUT, Philippe, 1998. "Distinguishing technical and scale efficiency on non-convex and convex technologies: theoretical analysis and empirical illustrations," LIDAM Discussion Papers CORE 1998055, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    12. Banker, Rajiv D. & Chang, Hsihui & Cooper, William W., 1996. "Equivalence and implementation of alternative methods for determining returns to scale in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 89(3), pages 473-481, March.
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    More about this item

    Keywords

    FDH; technical efficiency; scale efficiency.;
    All these keywords.

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity

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