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Determinants of health system efficiency in middle-east countries-DEA and PLS-SEM model approach

Author

Listed:
  • Shailender Singh

    (Symbiosis International (Deemed University))

  • Nishant Kumar

    (CHRIST (Deemed to be University))

  • Chandrashekhar J. Rawandale

    (Symbiosis International (Deemed University))

  • Muhammad Muazu Bala

    (SRM University-AP)

  • Aditya Kumar Gupta

    (Amity University)

  • P. K. Kapur

    (Amity University)

Abstract

This study presented a radically different approach to efficiency evaluation based on the impact of the Socioeconomic and Behavioral health determinants framework on health outcomes for the countries of Middle-East region. The level of education, employment, and the percentage of the population living in the rural area constitutes the socioeconomic framework. The prevalence of tobacco smoking and alcohol consumption formed the behavioral framework. The model considers life expectancy at birth and mortality rate from non-communicable diseases as health outcomes. The econometric models of the PLS-SEM, the DEA, and the Malmquist TFP index are used to analyze the data. The DEA results highlight differences in the impact of socioeconomic and behavioral health determinants on health outcomes across the countries of the Middle-East region. Finally, evidence from the Malmquist TFP index shows an improvement in health production between the periods 2006–2017. Moreover, a substantial gap in efficiency is observed between economically prosperous countries and others who are less well-off. Furthermore, socioeconomic and behavioral frameworks positively impact life expectancy at birth. Similarly, the two frameworks have a negative impact on the mortality rate from chronic non-communicable diseases. A higher impact on health outcomes is observed in the socioeconomic as a behavioral framework in the model. The study’s results have contributed to the policymakers, citizens, and the country’s government to compare the health system efficiencies across the middle-east region, which would help achieve the health outcome more efficiently.

Suggested Citation

  • Shailender Singh & Nishant Kumar & Chandrashekhar J. Rawandale & Muhammad Muazu Bala & Aditya Kumar Gupta & P. K. Kapur, 2024. "Determinants of health system efficiency in middle-east countries-DEA and PLS-SEM model approach," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(5), pages 1815-1827, May.
    • Handle: RePEc:spr:ijsaem:v:15:y:2024:i:5:d:10.1007_s13198-023-02159-w
    DOI: 10.1007/s13198-023-02159-w
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    References listed on IDEAS

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    1. Syyed Adnan Raheel Shah & Naveed Ahmad & Yongjun Shen & Ali Pirdavani & Muhammad Aamir Basheer & Tom Brijs, 2018. "Road Safety Risk Assessment: An Analysis of Transport Policy and Management for Low-, Middle-, and High-Income Asian Countries," Sustainability, MDPI, vol. 10(2), pages 1-30, February.
    2. Smith, G.D. & Wentworth, D. & Neaton, J.D. & Stamler, R. & Stamler, J., 1996. "Socioeconomic differentials in mortality risk among men screened for the multiple risk factor intervention trial: II. Black men," American Journal of Public Health, American Public Health Association, vol. 86(4), pages 497-504.
    3. Blane, D., 1995. "Social determinants of health--socioeconomic status, social class, and ethnicity," American Journal of Public Health, American Public Health Association, vol. 85(7), pages 903-905.
    4. Smith, G.D. & Neaton, J.D. & Wentworth, D. & Stamler, R. & Stamler, J., 1996. "Socioeconomic differentials in mortality risk among men screened for the multiple risk factor intervention trial: I. White men," American Journal of Public Health, American Public Health Association, vol. 86(4), pages 486-496.
    5. 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.
    6. Fare, Rolf & Shawna Grosskopf & Mary Norris & Zhongyang Zhang, 1994. "Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries," American Economic Review, American Economic Association, vol. 84(1), pages 66-83, March.
    7. Rahab Mbau & Anita Musiega & Lizah Nyawira & Benjamin Tsofa & Andrew Mulwa & Sassy Molyneux & Isabel Maina & Julie Jemutai & Charles Normand & Kara Hanson & Edwine Barasa, 2023. "Analysing the Efficiency of Health Systems: A Systematic Review of the Literature," Applied Health Economics and Health Policy, Springer, vol. 21(2), pages 205-224, March.
    8. McDonough, P. & Duncan, G.J. & Williams, D. & House, J., 1997. "Income dynamics and adult mortality in the United States, 1972 through 1989," American Journal of Public Health, American Public Health Association, vol. 87(9), pages 1476-1483.
    9. Shailender Singh & Muhammad M. Bala & Nishant Kumar & Hawati Janor, 2021. "Application of DEA‐Based Malmquist Productivity Index on Health Care System Efficiency of ASEAN Countries," International Journal of Health Planning and Management, Wiley Blackwell, vol. 36(4), pages 1236-1250, July.
    10. 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.
    11. Jean Spinks & Bruce Hollingsworth, 2009. "Cross-country comparisons of technical efficiency of health production: a demonstration of pitfalls," Applied Economics, Taylor & Francis Journals, vol. 41(4), pages 417-427.
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