IDEAS home Printed from https://ideas.repec.org/a/bla/ijhplm/v34y2019i1pe602-e616.html
   My bibliography  Save this article

Assessing performance of Taiwan hospitals using data envelopment analysis: In view of ownership

Author

Listed:
  • Bo Hsiao
  • Li‐Hsueh Chen
  • Huei‐Ting Wu

Abstract

With rapid economic development in Taiwan, people have greater awareness of health care and are paying more attention to it. From the perspective of hospital management, the scale of hospitals and efficiency improvement are of concern to hospital managers. However, the extent of efficiency will differ between public and private hospitals due to their different ownership and goals. The study aims to evaluate the efficiency of public and private hospitals and to investigate the influence of ownership on efficiency of hospitals. The differences between hospitals can be understood by analyzing the features of the organization of hospitals and their geographic environment. In this way, hospitals with relatively low efficiency will be able to make improvements based on concrete evidence. By means of the two‐stage method, the efficiency scores of 182 hospitals in Taiwan are compared. In the first stage, the data envelopment analysis is applied to obtain the efficiency scores of hospitals. The results show that private hospitals are more efficient than public hospitals. In the second stage, Tobit regression is used to investigate the factors influencing efficiency obtained by the data envelopment analysis. The results indicate that there are differences between ownership in market competition and the average length of stay.

Suggested Citation

  • Bo Hsiao & Li‐Hsueh Chen & Huei‐Ting Wu, 2019. "Assessing performance of Taiwan hospitals using data envelopment analysis: In view of ownership," International Journal of Health Planning and Management, Wiley Blackwell, vol. 34(1), pages 602-616, January.
  • Handle: RePEc:bla:ijhplm:v:34:y:2019:i:1:p:e602-e616
    DOI: 10.1002/hpm.2676
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/hpm.2676
    Download Restriction: no

    File URL: https://libkey.io/10.1002/hpm.2676?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Koop, Gary & Osiewalski, Jacek & Steel, Mark F. J., 1997. "Bayesian efficiency analysis through individual effects: Hospital cost frontiers," Journal of Econometrics, Elsevier, vol. 76(1-2), pages 77-105.
    2. Bruce Hollingsworth, 2008. "The measurement of efficiency and productivity of health care delivery," Health Economics, John Wiley & Sons, Ltd., vol. 17(10), pages 1107-1128, October.
    3. N. Maniadakis & N. Kotsopoulos & P. Prezerakos & J. Yfantopoulos, 2008. "Measuring Intra-Hospital Clinic Efficiency and Productivity: Application to a Greek University General Hospital," European Research Studies Journal, European Research Studies Journal, vol. 0(1-2), pages 95-110.
    4. Annika Herr, 2008. "Cost and technical efficiency of German hospitals: does ownership matter?," Health Economics, John Wiley & Sons, Ltd., vol. 17(9), pages 1057-1071, September.
    5. H. Shelton Brown, 2003. "Managed care and technical efficiency," Health Economics, John Wiley & Sons, Ltd., vol. 12(2), pages 149-158, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Aleksandar Medarević & Dejana Vuković, 2021. "Efficiency and Productivity of Public Hospitals in Serbia Using DEA-Malmquist Model and Tobit Regression Model, 2015–2019," IJERPH, MDPI, vol. 18(23), pages 1-22, November.

    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. Roberto Colombi & Gianmaria Martini & Giorgio Vittadini, 2017. "Determinants of transient and persistent hospital efficiency: The case of Italy," Health Economics, John Wiley & Sons, Ltd., vol. 26(S2), pages 5-22, September.
    2. See, Kok Fong & Ng, Ying Chu, 2021. "Do hospital reform and ownership matter to Shenzhen hospitals in China? A productivity analysis," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 145-155.
    3. Tiemann, Oliver & Schreyögg, Jonas & Busse, Reinhard, 2012. "Hospital ownership and efficiency: A review of studies with particular focus on Germany," Health Policy, Elsevier, vol. 104(2), pages 163-171.
    4. Bao Hoang Nguyen & Robin C. Sickles & Valentin Zelenyuk, 2021. "What do we know from the vast literature on efficiency and productivity in healthcare? A Systematic Review and Bibliometric Analysis," CEPA Working Papers Series WP092021, School of Economics, University of Queensland, Australia.
    5. Bo Hsiao & Li-Hsueh Chen, 2019. "Performance Evaluation for Taiwanese Hospitals by Multi-Activity Network Data Envelopment Analysis," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(03), pages 1009-1043, May.
    6. Valentin Zelenyuk & Zhichao Wang, 2023. "Random vs. Explained Inefficiency in Stochastic Frontier Analysis: The Case of Queensland Hospitals," CEPA Working Papers Series WP052023, School of Economics, University of Queensland, Australia.
    7. William Griffiths & Xiaohui Zhang & Xueyan Zhao, 2010. "A Stochastic Frontier Model for Discrete Ordinal Outcomes: A Health Production Function," Department of Economics - Working Papers Series 1092, The University of Melbourne.
    8. José M. Cordero & Agustín García-García & Enrique Lau-Cortés & Cristina Polo, 2021. "Efficiency and Productivity Change of Public Hospitals in Panama: Do Management Schemes Matter?," IJERPH, MDPI, vol. 18(16), pages 1-21, August.
    9. Rize Jing & Tingting Xu & Xiaozhen Lai & Elham Mahmoudi & Hai Fang, 2019. "Technical Efficiency of Public and Private Hospitals in Beijing, China: A Comparative Study," IJERPH, MDPI, vol. 17(1), pages 1-18, December.
    10. Zhichao Wang & Bao Hoang Nguyen & Valentin Zelenyuk, 2024. "Performance analysis of hospitals in Australia and its peers: a systematic and critical review," Journal of Productivity Analysis, Springer, vol. 62(2), pages 139-173, October.
    11. Li, Sung Ko & He, Xinju, 2019. "The impacts of marketization and subsidies on the treatment quality performance of the Chinese hospitals sector," China Economic Review, Elsevier, vol. 54(C), pages 41-50.
    12. Lukas Kwietniewski & Jonas Schreyögg, 2018. "Efficiency of physician specialist groups," Health Care Management Science, Springer, vol. 21(3), pages 409-425, September.
    13. Ivonne Lindlbauer & Jonas Schreyögg, 2014. "The relationship between hospital specialization and hospital efficiency: do different measures of specialization lead to different results?," Health Care Management Science, Springer, vol. 17(4), pages 365-378, December.
    14. Oliver Tiemann & Jonas Schreyögg, 2012. "Changes in hospital efficiency after privatization," Health Care Management Science, Springer, vol. 15(4), pages 310-326, December.
    15. Luigi Siciliani & Peter Sivey & Andrew Street, 2011. "Differences in Length of Stay between Public Hospitals, Treatment Centres and Private Providers: Selection or Efficiency?," Melbourne Institute Working Paper Series wp2011n06, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    16. Oliver Tiemann & Jonas Schreyögg, 2012. "Changes in hospital efficiency after privatization," Health Care Management Science, Springer, vol. 15(4), pages 310-326, December.
    17. Herr Annika, 2011. "Quality and Welfare in a Mixed Duopoly with Regulated Prices: The Case of a Public and a Private Hospital," German Economic Review, De Gruyter, vol. 12(4), pages 422-437, December.
    18. Lukas Kwietniewski & Jonas Schreyögg, 2018. "Profit efficiency of physician practices: a stochastic frontier approach using panel data," Health Care Management Science, Springer, vol. 21(1), pages 76-86, March.
    19. Kuan-Chen Chen & Hong-Ming Chen & Li-Nien Chien & Ming-Miin Yu, 2019. "Productivity growth and quality changes of hospitals in Taiwan: does ownership matter?," Health Care Management Science, Springer, vol. 22(3), pages 451-461, September.
    20. William Griffiths & Xiaohui Zhang & Xueyan Zhao, 2014. "Estimation and efficiency measurement in stochastic production frontiers with ordinal outcomes," Journal of Productivity Analysis, Springer, vol. 42(1), pages 67-84, August.

    More about this item

    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:bla:ijhplm:v:34:y:2019:i:1:p:e602-e616. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0749-6753 .

    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.