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Health Spending Efficiency in Developing Asia

Author

Listed:
  • Donna Faye Bajaro

    (Asian Development Bank)

  • Yothin Jinjarak

    (Asian Development Bank)

  • Yuho Myoda

    (Asian Development Bank)

  • Donghyun Park

    (Asian Development Bank)

  • Pilipinas Quising

    (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

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

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    1. Juan Shi & Chunhou Li & Teng Wang & Jinfa Zhao & Yong Liu & Yayuan Xiao, 2022. "Distribution Pattern of Coral Reef Fishes in China," Sustainability, MDPI, vol. 14(22), pages 1-16, November.
    2. Oliver E. J. Wing & William Lehman & Paul D. Bates & Christopher C. Sampson & Niall Quinn & Andrew M. Smith & Jeffrey C. Neal & Jeremy R. Porter & Carolyn Kousky, 2022. "Inequitable patterns of US flood risk in the Anthropocene," Nature Climate Change, Nature, vol. 12(2), pages 156-162, February.
    3. repec:unu:wpaper:wp2012-69 is not listed on IDEAS
    4. Raj Chetty, 2006. "A New Method of Estimating Risk Aversion," American Economic Review, American Economic Association, vol. 96(5), pages 1821-1834, December.
    5. Choonjoo Lee, 2010. "An Efficient Data Envelopment Analysis with Large Data Set in Stata," BOS10 Stata Conference 3, Stata Users Group.
    6. Robert E. Hall & Charles I. Jones, 2007. "The Value of Life and the Rise in Health Spending," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(1), pages 39-72.
    7. Arnab Acharya & Melisa Martínez-Álvarez, 2012. "Aid Effectiveness in the Health Sector," WIDER Working Paper Series wp-2012-069, World Institute for Development Economic Research (UNU-WIDER).
    8. Acharya, Arnab & Martínez-Álvarez, Melisa, 2012. "Aid Effectiveness in the Health Sector," WIDER Working Paper Series 069, World Institute for Development Economic Research (UNU-WIDER).
    9. Ms. Mercedes Garcia-Escribano & Pedro Juarros & Ms. Tewodaj Mogues, 2022. "Patterns and Drivers of Health Spending Efficiency," IMF Working Papers 2022/048, International Monetary Fund.
    10. Francesco Maria Sabatini & Borja Jiménez-Alfaro & Ute Jandt & Milan Chytrý & Richard Field & Michael Kessler & Jonathan Lenoir & Franziska Schrodt & Susan K. Wiser & Mohammed A. S. Arfin Khan & Fabio , 2022. "Global patterns of vascular plant alpha diversity," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    11. Yong-bae Ji & Choonjoo Lee, 2010. "Data envelopment analysis," Stata Journal, StataCorp LLC, vol. 10(2), pages 267-280, June.
    12. Xin Li & Peng Zhang, 2022. "Patterns and Influencing Factors of Express Outlets in China," Sustainability, MDPI, vol. 14(13), pages 1-14, July.
    13. McDonald, John, 2009. "Using least squares and tobit in second stage DEA efficiency analyses," European Journal of Operational Research, Elsevier, vol. 197(2), pages 792-798, September.
    14. Dakshina G De Silva & Georgia Kosmopoulou & Rachel A J Pownall & Robert Press, 2022. "Posthumous trading patterns affecting artwork prices [Financial returns, price determinants, and genre effects in American art investment]," Oxford Economic Papers, Oxford University Press, vol. 74(2), pages 453-472.
    15. Douanla Tayo Lionel, 2015. "Determinants of Health Spending Efficiency: a Tobit Panel Data Approach Based on DEA Efficiency Scores," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 11(4), pages 56-71, August.
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    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

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