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Analysis of the Relationships between Compulsory Health Spending, Doctors, Hospital Beds and Hospital Stays for Turkiye

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  • Esra Nazmiye Kılcı

    (Istanbul University-Cerrahpaşa, Department of Health Economics, Istanbul, Türkiye)

Abstract

A significant part of health expenditures is allocated to hospitals, but whether the funds invested in resources are used successfully or not is determined by assessing factors such as the number of hospital beds and the number of doctors. Additionally, the length of hospital stay is a critical performance indicator. The objective of this paper is to investigate the mutual relationships between compulsory health spending, the number of doctors, the number of hospital beds, and hospital stays in the case of a developing country. We focus on Turkiye using the annual data on compulsory health spending (U.S dollars/capita), the number of doctors (per 1.000 inhabitants), the number of hospital beds (per 1.000 inhabitants), and the length of hospital stay (days) for the period of 1994-2020. In our analysis, following testing the stationary properties of the variables, we employ the Fourier causality tests proposed by Enders and Jones (2016) and Nazlioglu et al. (2016) to analyze the causality links between compulsory health spending, the number of doctors, the number of hospital beds and the length of hospital stay. Our findings confirm the evidence of causal runs from compulsory health spending to the number of hospital beds and from the number of doctors to compulsory health spending in the relevant period.

Suggested Citation

  • Esra Nazmiye Kılcı, 2023. "Analysis of the Relationships between Compulsory Health Spending, Doctors, Hospital Beds and Hospital Stays for Turkiye," EKOIST Journal of Econometrics and Statistics, Istanbul University, Faculty of Economics, vol. 0(39), pages 101-111, December.
  • Handle: RePEc:ist:ekoist:v:0:y:2023:i:39:p:101-111
    DOI: 10.26650/ekoist.2023.39.1334140
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    References listed on IDEAS

    as
    1. Esra N. Kilci, 2021. "A study on financial sustainability of healthcare indicators for Turkey under the health transformation program," International Journal of Health Planning and Management, Wiley Blackwell, vol. 36(4), pages 1287-1307, July.
    2. Nazlioglu, Saban & Gormus, N. Alper & Soytas, Uğur, 2016. "Oil prices and real estate investment trusts (REITs): Gradual-shift causality and volatility transmission analysis," Energy Economics, Elsevier, vol. 60(C), pages 168-175.
    3. Enders Walter & Jones Paul, 2016. "Grain prices, oil prices, and multiple smooth breaks in a VAR," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(4), pages 399-419, September.
    4. Deepak Kumar Behera & Umakant Dash, 2020. "Is health expenditure effective for achieving healthcare goals? Empirical evidence from South-East Asia Region," Asia-Pacific Journal of Regional Science, Springer, vol. 4(2), pages 593-618, June.
    5. Devdatta Ray & Mikael Linden, 2020. "Health expenditure, longevity, and child mortality: dynamic panel data approach with global data," International Journal of Health Economics and Management, Springer, vol. 20(1), pages 99-119, March.
    6. John Nixon & Philippe Ulmann, 2006. "The relationship between health care expenditure and health outcomes," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 7(1), pages 7-18, March.
    7. Madsen, Jakob B., 2018. "Health-Led Growth Since 1800," Macroeconomic Dynamics, Cambridge University Press, vol. 22(4), pages 961-1000, June.
    8. Tito Nestor TIEHI & Foungnigué Noé COULIBALY, 2022. "Determinants of public health spending in WAEMU area: An empirical investigation," Bulletin of Applied Economics, Risk Market Journals, vol. 9(1), pages 39-49.
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