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Measuring regional public health provision

Author

Listed:
  • Halkos, George
  • Tzeremes, Nickolaos

Abstract

This paper using Data Envelopment Analysis (DEA) evaluates the performance of public health services of the Greek prefectures. The efficiency levels of the Greek prefectures are compared and analyzed in a regional context. With the use of bootstrap techniques and conditional full frontier applications the paper shows that higher levels of GDP per capita and population density increase the prefectures’ performance of public health provision. In addition population density affects more the prefectures’ performance compared to the levels of GDP per capita. Finally, it appears that Greek prefectures with GDP per capita levels of 25000 to 30000 € and those with population density levels between 150 and 200 residents per square kilometre have significantly higher efficiency levels of public health provision.

Suggested Citation

  • Halkos, George & Tzeremes, Nickolaos, 2008. "Measuring regional public health provision," MPRA Paper 23762, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:23762
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    File URL: https://mpra.ub.uni-muenchen.de/23762/1/MPRA_paper_23762.pdf
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    References listed on IDEAS

    as
    1. Leopold Simar & Paul Wilson, 2000. "A general methodology for bootstrapping in non-parametric frontier models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 27(6), pages 779-802.
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    4. Cinzia Daraio & Léopold Simar, 2005. "Introducing Environmental Variables in Nonparametric Frontier Models: a Probabilistic Approach," Journal of Productivity Analysis, Springer, vol. 24(1), pages 93-121, September.
    5. Bruce Hollingsworth & P.J. Dawson & N. Maniadakis, 1999. "Efficiency measurement of health care: a review of non‐parametric methods and applications," Health Care Management Science, Springer, vol. 2(3), pages 161-172, July.
    6. 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.
    7. Cinzia Daraio & Léopold Simar, 2007. "Conditional nonparametric frontier models for convex and nonconvex technologies: a unifying approach," Journal of Productivity Analysis, Springer, vol. 28(1), pages 13-32, October.
    8. Léopold Simar & Paul W. Wilson, 1998. "Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models," Management Science, INFORMS, vol. 44(1), pages 49-61, January.
    9. Simar, Leopold & Wilson, Paul W., 2002. "Non-parametric tests of returns to scale," European Journal of Operational Research, Elsevier, vol. 139(1), pages 115-132, May.
    10. Karkazis, John & Thanassoulis, Emmanuel, 1998. "Assessing the effectiveness of regional development policies in Northern Greece using data envelopment analysis," Socio-Economic Planning Sciences, Elsevier, vol. 32(2), pages 123-137, June.
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    12. Bruce Hollingsworth & Andrew Street, 2006. "The market for efficiency analysis of health care organisations," Health Economics, John Wiley & Sons, Ltd., vol. 15(10), pages 1055-1059.
    13. repec:cor:louvrp:-571 is not listed on IDEAS
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    More about this item

    Keywords

    Public health; Performance measurement; Conditional DEA; Bootstrap techniques; Kernel density estimation.;

    JEL classification:

    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models

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