IDEAS home Printed from https://ideas.repec.org/p/ris/adbewp/0699.html
   My bibliography  Save this paper

Health Spending Efficiency in Developing Asia

Author

Listed:
  • Bajaro, Donna Faye

    (Asian Development Bank)

  • Jinjarak, Yothin

    (Asian Development Bank)

  • Myoda, Yuho

    (Asian Development Bank)

  • Park, Donghyun

    (Asian Development Bank)

  • Quising, Pilipinas

    (Asian Development Bank)

Abstract

The coronavirus disease (COVID-19) pandemic placed health-care systems around the world under great stress. The sharp increase in demand for health care highlighted the importance of efficient health spending. The negative impact of the pandemic on global economic growth further strengthened the case for efficient health spending. In this paper, we examine health spending efficiency in developing Asia. Using data envelopment analysis, we find that East Asia has the highest average output- and input-oriented technical efficiency scores among the subregions. Universal health coverage service coverage index and population density have the strongest effect on health spending efficiency. In addition, using the novel framework of macro-level efficiency analysis, we find that developing Asia falls short of optimal total health expenditures. Caucasus and Central Asia has the highest average allocative efficiency score among the subregions. Overall, developing Asia has substantial room for improvement in both technical and allocative efficiency.

Suggested Citation

  • Bajaro, Donna Faye & Jinjarak, Yothin & Myoda, Yuho & Park, Donghyun & Quising, Pilipinas, 2023. "Health Spending Efficiency in Developing Asia," ADB Economics Working Paper Series 699, Asian Development Bank.
  • Handle: RePEc:ris:adbewp:0699
    as

    Download full text from publisher

    File URL: https://www.adb.org/publications/health-spending-efficiency-developing-asia
    File Function: Full text
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    health spending; data envelopment analysis; technical efficiency; allocative efficiency;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • H51 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Health
    • I10 - Health, Education, and Welfare - - Health - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ris:adbewp:0699. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Orlee Velarde (email available below). General contact details of provider: https://edirc.repec.org/data/eradbph.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.