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The Relative Efficiency Of Jordanian Public Hospitals Using Data Envelopment Analysis And Pabon Lasso Diagram

Author

Listed:
  • Moh'd M. Ajlouni
  • Amr Zyoud
  • Bashar Jaber
  • Haya Shaheen
  • Malik Al-Natour
  • Rami J. Anshasi

Abstract

This study aims at investigating and measuring the relative efficiency of public hospitals performance in Jordan, during the period (2006-2008), using DEA and Pabon-Lasso Diagram. The results indicate that the average efficiency of those hospitals is varied and ranges between (73%) to (100%). The average of the relative efficiency of the sample hospitals over the study period is 94%. Of 15 hospitals, the number of efficient hospitals increased from 7 in 2006 to 9 in 2007, but decreased to 8 in 2008. The results are compared with old efficiency scores of the same hospitals reported in the literature. This comparison leads to signify that the efficiency of public sector hospitals in Jordan is varied over time, due to decreasing public expenditures on health care per capita. However, the results concerning ratio analysis in explaining efficiency are inconsistent; implying that these institutions are either having poor management or they treat long stays diseases.

Suggested Citation

  • Moh'd M. Ajlouni & Amr Zyoud & Bashar Jaber & Haya Shaheen & Malik Al-Natour & Rami J. Anshasi, 2013. "The Relative Efficiency Of Jordanian Public Hospitals Using Data Envelopment Analysis And Pabon Lasso Diagram," Global Journal of Business Research, The Institute for Business and Finance Research, vol. 7(2), pages 59-72.
  • Handle: RePEc:ibf:gjbres:v:7:y:2013:i:2:p:59-72
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    Citations

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    Cited by:

    1. Sebastian Kohl & Jan Schoenfelder & Andreas Fügener & Jens O. Brunner, 2019. "The use of Data Envelopment Analysis (DEA) in healthcare with a focus on hospitals," Health Care Management Science, Springer, vol. 22(2), pages 245-286, June.
    2. Akkan, Can & Karadayi, Melis Almula & Ekinci, Yeliz & Ülengin, Füsun & Uray, Nimet & Karaosmanoğlu, Elif, 2020. "Efficiency analysis of emergency departments in metropolitan areas," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    3. Zhensheng Chen & Xueli Chen & Tomas Baležentis & Xiaoqing Gan & Vivian Valdmanis, 2020. "Productivity change and its driving forces in Chinese healthcare sector," PLOS ONE, Public Library of Science, vol. 15(12), pages 1-16, December.
    4. Zhensheng Chen & Xueli Chen & Xiaoqing Gan & Kaixuan Bai & Tomas Baležentis & Lixin Cui, 2020. "Technical Efficiency of Regional Public Hospitals in China Based on the Three-Stage DEA," IJERPH, MDPI, vol. 17(24), pages 1-17, December.
    5. Iyad Ibrahim Shaqura & Masoomeh Gholami & Ali Akbari Sari, 2021. "Evaluation of performance at Palestinian public hospitals using Pabón Lasso model," International Journal of Health Planning and Management, Wiley Blackwell, vol. 36(3), pages 896-910, May.

    More about this item

    Keywords

    Hospitals; Efficiency; DEA; Pabon Lasso; Jordan.;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • D02 - Microeconomics - - General - - - Institutions: Design, Formation, Operations, and Impact
    • H11 - Public Economics - - Structure and Scope of Government - - - Structure and Scope of Government
    • H51 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Health
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior

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