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Efficiency Analysis Of Hospitals In Punjab Districts: An Application Of Dea Bootstrap


  • Nabila Asghar

    () (Assistant Professor Department of Economics & Business Administration , University of the Education, Lahore, Pakistan)

  • Hafeez-ur-Rehman

    () (Professor of Economics, School of Business and Economics, University of Management and Technology Lahore, Pakistan)

  • Hafiz Ghulam Mujaddid

    () (Associate Research Fellow at Punjab Economic Research Institute Lahore, Pakistan)


The main objective of this study is to analyze the efficiency of hospitals of districts of Punjab a province of Pakistan. The study uses output oriented DEA bootstrap technique formeasuring the efficiency of hospitals by utilizing four inputs and two outputs. The results ofthe study reveal that not a single district appears to be fully efficient when bias correctedefficiency technique is used. The overall efficiency which is measured in the form of mean efficiency have shown rising trend in 2011 and afterward little deterioration in 2013. Thestudy identifies the less efficient and highly efficient districts of hospitals of Punjab province of Pakistan. The inference from this study may be helpful for policy makers to formulate and implement policies which help the hospitals of districts of Punjab to perform better throughimproving their efficiency.

Suggested Citation

  • Nabila Asghar & Hafeez-ur-Rehman & Hafiz Ghulam Mujaddid, 2018. "Efficiency Analysis Of Hospitals In Punjab Districts: An Application Of Dea Bootstrap," IBT Journal of Business Studies (JBS), Ilma University, Faculty of Management Science, vol. 14(1), pages 14-10.
  • Handle: RePEc:aib:ibtjbs:v:14:y:2018:i:1:p:14-10

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    References listed on IDEAS

    1. Naeem Akram & Ihtsham ul Haq Padda & Mohammad Khan, 2008. "The Long Term Impact of Health on Economic Growth in Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 47(4), pages 487-500.
    2. Léopold Simar & Paul Wilson, 2000. "Statistical Inference in Nonparametric Frontier Models: The State of the Art," Journal of Productivity Analysis, Springer, vol. 13(1), pages 49-78, January.
    3. 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.
    4. Brenda Gannon, 2005. "Testing for Variation in Technical Efficiency of Hospitals in Ireland," The Economic and Social Review, Economic and Social Studies, vol. 36(3), pages 273-294.
    5. Chang, Hsihui & Cheng, Mei-Ai & Das, Somnath, 2004. "Hospital ownership and operating efficiency: Evidence from Taiwan," European Journal of Operational Research, Elsevier, vol. 159(2), pages 513-527, December.
    6. Vitikainen, Kirsi & Street, Andrew & Linna, Miika, 2009. "Estimation of hospital efficiency--Do different definitions and casemix measures for hospital output affect the results?," Health Policy, Elsevier, vol. 89(2), pages 149-159, February.
    7. Kembo M. Bwana, 2015. "Measuring Technical Efficiency of Faith Based Hospitals in Tanzania: An application of Data Envelopment Analysis (DEA)," Research in Applied Economics, Macrothink Institute, vol. 7(1), pages 1-12, March.
    8. Matranga, Domenica & Sapienza, Francesca, 2015. "Congestion analysis to evaluate the efficiency and appropriateness of hospitals in Sicily," Health Policy, Elsevier, vol. 119(3), pages 324-332.
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