IDEAS home Printed from https://ideas.repec.org/a/ibn/gjhsjl/v9y2017i3p116.html
   My bibliography  Save this article

Measuring the Effect of Size on Technical Efficiency of the United Arab Emirates Hospitals

Author

Listed:
  • Ashraf Mahate
  • Samer Hamidi
  • Fevzi Akinci

Abstract

OBJECTIVE- The main purpose of this study is to estimate the technical efficiency of the United Arab Emirates (UAE) hospitals and examine the effect of hospital size on estimated technical efficiency scores.METHODS- Using 2012 data from Ministry of Health, Dubai Health Authority, and Health Authority in Abu Dhabi, we employed a nonparametric method, data envelopment analysis (DEA), to estimate the technical efficiency of 96 private and governmental hospitals in the UAE. Efficiency scores are calculated using both Banker, Charnes, and Cooper (BCC) and Charnes, Cooper, and Rhodes (CCR) models. RESULTS- The average technical efficiency of the UAE hospitals is estimated at 59% based on the BBC model and at 48% based on the CCR model. The optimal size of a hospital in the UAE is between 100 to 300 beds. We also found evidence of economies of scope between the provision of outpatient and inpatient care in the UAE hospitals.CONCLUSION- Our findings indicate that only one third of the UAE hospitals are technically efficient. There is evidence to suggest that there are considerable efficiency gains yet to be made by many UAE hospitals. Additional empirical research is needed to inform future health policies aimed at improving both the technical and allocative efficiency of hospital services in the UAE.

Suggested Citation

  • Ashraf Mahate & Samer Hamidi & Fevzi Akinci, 2017. "Measuring the Effect of Size on Technical Efficiency of the United Arab Emirates Hospitals," Global Journal of Health Science, Canadian Center of Science and Education, vol. 9(3), pages 116-116, March.
    • Handle: RePEc:ibn:gjhsjl:v:9:y:2017:i:3:p:116
    as

    Download full text from publisher

    File URL: http://www.ccsenet.org/journal/index.php/gjhs/article/download/58438/32883
    Download Restriction: no
    File URL: http://www.ccsenet.org/journal/index.php/gjhs/article/view/58438
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Laurent Gobillon & Carine Milcent, 2013. "Spatial disparities in hospital performance," Journal of Economic Geography, Oxford University Press, vol. 13(6), pages 1013-1040, November.
    2. MORIKAWA Masayuki, 2010. "Economies of Scale and Hospital Productivity: An empirical analysis of medical area level panel data," Discussion papers 10050, Research Institute of Economy, Trade and Industry (RIETI).
    3. 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.
    4. Mette Asmild & Bruce Hollingsworth & Stephen Birch, 2013. "The scale of hospital production in different settings: one size does not fit all," Journal of Productivity Analysis, Springer, vol. 40(2), pages 197-206, October.
    5. Preyra, Colin & Pink, George, 2006. "Scale and scope efficiencies through hospital consolidations," Journal of Health Economics, Elsevier, vol. 25(6), pages 1049-1068, November.
    6. Gillian McCallion & J. Colin Glass & Robert Jackson & Christine Kerr & Donal McKillop, 2000. "Investigating productivity change and hospital size: a nonparametric frontier approach," Applied Economics, Taylor & Francis Journals, vol. 32(2), pages 161-174.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Monica Giancotti & Annamaria Guglielmo & Marianna Mauro, 2017. "Efficiency and optimal size of hospitals: Results of a systematic search," PLOS ONE, Public Library of Science, vol. 12(3), pages 1-40, March.
    2. George Fragkiadakis & Michael Doumpos & Constantin Zopounidis & Christophe Germain, 2016. "Operational and economic efficiency analysis of public hospitals in Greece," Post-Print hal-01414677, HAL.
    3. Víctor Giménez & Jorge R. Keith & Diego Prior, 2019. "Do healthcare financing systems influence hospital efficiency? A metafrontier approach for the case of Mexico," Health Care Management Science, Springer, vol. 22(3), pages 549-559, September.
    4. George Fragkiadakis & Michael Doumpos & Constantin Zopounidis & Christophe Germain, 2016. "Operational and economic efficiency analysis of public hospitals in Greece," Annals of Operations Research, Springer, vol. 247(2), pages 787-806, December.
    5. Galina Besstremyannaya & Sergei Golovan, 2023. "Measuring heterogeneity in hospital productivity: a quantile regression approach," Journal of Productivity Analysis, Springer, vol. 59(1), pages 15-43, February.
    6. Cheng, Xiaomei & Bjørndal, Endre & Bjørndal, Mette, 2015. "Optimal Scale in Different Environments – The Case of Norwegian Electricity Distribution Companies," Discussion Papers 2015/22, Norwegian School of Economics, Department of Business and Management Science.
    7. Leleu, Hervé & Moises, James & Valdmanis, Vivian, 2012. "Optimal productive size of hospital's intensive care units," International Journal of Production Economics, Elsevier, vol. 136(2), pages 297-305.
    8. O'Neill, Liam & Rauner, Marion & Heidenberger, Kurt & Kraus, Markus, 2008. "A cross-national comparison and taxonomy of DEA-based hospital efficiency studies," Socio-Economic Planning Sciences, Elsevier, vol. 42(3), pages 158-189, September.
    9. Jeong Hoon Choi & Imsu Park & Ilyoung Jung & Asoke Dey, 2017. "Complementary effect of patient volume and quality of care on hospital cost efficiency," Health Care Management Science, Springer, vol. 20(2), pages 221-231, June.
    10. MORIKAWA Masayuki, 2010. "Economies of Scale and Hospital Productivity: An empirical analysis of medical area level panel data," Discussion papers 10050, Research Institute of Economy, Trade and Industry (RIETI).
    11. Lorena Androutsou & Michail Kokkinos & Dimitra Latsou & Mary Geitona, 2022. "Assessing the Efficiency and Productivity of the Hospital Clinics on the Island of Rhodes during the COVID-19 Pandemic," IJERPH, MDPI, vol. 19(23), pages 1-12, November.
    12. Jacques Ngoie Kibambe & Steven F. Koch, 2005. "DEA Applied to a Gauteng Sample of South African Public Hospitals," Working Papers 200512, University of Pretoria, Department of Economics.
    13. Rita Bastião & Nuno de Sousa Pereira, 2020. "Performance in the Delivery of Primary Health Care Services: A Longitudinal Analysis," CEF.UP Working Papers 2002, Universidade do Porto, Faculdade de Economia do Porto.
    14. Kao, Chiang & Pang, Rui-Zhi & Liu, Shiang-Tai & Bai, Xue-Jie, 2021. "Optimal expansion paths for hospitals of different types: Viewpoint of scope economies and evidence from Chinese hospitals," European Journal of Operational Research, Elsevier, vol. 289(2), pages 628-638.
    15. Juan Piedra-Peña & Diego Prior, 2023. "Analyzing the effect of health reforms on the efficiency of Ecuadorian public hospitals," International Journal of Health Economics and Management, Springer, vol. 23(3), pages 361-392, September.
    16. Nguyen, Hong Ngoc & O’Donnell, Christopher, 2023. "Estimating the cost efficiency of public service providers in the presence of demand uncertainty," European Journal of Operational Research, Elsevier, vol. 309(3), pages 1334-1348.
    17. Mattsson, Pontus & Tidanå, Claes, 2019. "Potential efficiency effects of merging the Swedish district courts," Socio-Economic Planning Sciences, Elsevier, vol. 67(C), pages 58-68.
    18. Panagiotis Mitropoulos & Panagiotis D. Zervopoulos & Ioannis Mitropoulos, 2020. "Measuring performance in the presence of noisy data with targeted desirable levels: evidence from healthcare units," Annals of Operations Research, Springer, vol. 294(1), pages 537-566, November.
    19. Khezrimotlagh, Dariush & Kaffash, Sepideh & Zhu, Joe, 2022. "U.S. airline mergers’ performance and productivity change," Journal of Air Transport Management, Elsevier, vol. 102(C).
    20. Christian Growitsch & Tooraj Jamasb & Christine Müller & Matthias Wissner, 2016. "Social Cost Efficient Service Quality: Integrating Customer Valuation in Incentive Regulation—Evidence from the Case of Norway," International Series in Operations Research & Management Science, in: Joe Zhu (ed.), Data Envelopment Analysis, chapter 0, pages 71-91, Springer.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ibn:gjhsjl:v:9:y:2017:i:3:p:116. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.