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Analyzing the efficiency differences among basic health units in Sargodha District

  • Abbas, Touqeer
  • Awan, Masood Sarwar
  • Aslam, Muhammad Amir
  • Waqas, Muhammad

Pakistan has adequate infrastructure for health services delivery at primary level. The study aims to calculate the technical efficiency of Basic Health Units (BHUs) in Sargodha by using the Data Envelopment Analysis (DEA) with the choice of inputs and outputs being specific to BHUs operation. DEA model results reveals that the mean technical efficiency under, Constant Returns to Scale (CRS) and Variable Returns to Scale (VRS) was 0.719 and 0.807 while the mean scale efficiency was 0.88. Study exposed that 77 % BHUs were technically inefficient under CRS while 66 % BHUs were technically inefficient under VRS modal. Overall 76% BHUs were inefficient and destructing the infrastructure. Moreover, findings evidently point to adverse inefficiency of BHUs in health services delivery. Study concluded that existing high level of inefficiency in BHUs needs institutional fascination for scaling up BHUs to meet both regional as well international targets such as Millennium Development Goals (MDGs) and recommended such measures that may curb the waste.

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File URL: http://mpra.ub.uni-muenchen.de/32244/1/MPRA_paper_32244.pdf
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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 32244.

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Date of creation: 2011
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Publication status: Published in Journal of Economics and Behavioral Studies 1.3(2011): pp. 42-50
Handle: RePEc:pra:mprapa:32244
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  1. 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.
  2. C. L. Chua & Alfons Palangkaraya & Jongsay Yong, 2009. "Hospital Competition, Technical Efficiency, and Quality," Melbourne Institute Working Paper Series wp2009n16, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
  3. António Afonso & Sónia Fernandes, 2008. "Assessing Hospital Efficiency: Non-parametric Evidence for Portugal," Working Papers Department of Economics 2008/07, ISEG - School of Economics and Management, Department of Economics, University of Lisbon.
  4. Rajiv D. Banker & Robert F. Conrad & Robert P. Strauss, 1986. "A Comparative Application of Data Envelopment Analysis and Translog Methods: An Illustrative Study of Hospital Production," Management Science, INFORMS, vol. 32(1), pages 30-44, January.
  5. Gian Paolo Barbetta & Gilberto Turati & Angelo M. Zago, 2007. "Behavioral differences between public and private not-for-profit hospitals in the Italian national health service," Health Economics, John Wiley & Sons, Ltd., vol. 16(1), pages 75-96.
  6. Jos Blank & Vivian Valdmanis, 2010. "Environmental factors and productivity on Dutch hospitals: a semi-parametric approach," Health Care Management Science, Springer, vol. 13(1), pages 27-34, March.
  7. Alfons Palangkaraya & Jongsay Yong, 2009. "Hospital Markets and the Effect of Competition on Quality," Melbourne Institute Working Paper Series wp2009n17, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
  8. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
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