Research Article

Probabilistic Fiscal Monitoring and Reverse Threshold Analysis of Türkiye’s Public Health Administration under High Inflation

Volume: 12 September 1, 2026
EN

Probabilistic Fiscal Monitoring and Reverse Threshold Analysis of Türkiye’s Public Health Administration under High Inflation

Abstract

Background: Public health administrations face correlated revenue, labour-cost and supply-price uncertainty, yet consolidated financial statements are usually interpreted through retrospective point estimates. This study evaluates an integrated decision-support framework for fiscal monitoring without treating accounting outcomes as measures of managerial performance. Materials and Methods: The Turkish Ministry of Health’s comparable 2024–2025 consolidated accrual statements were analysed. Reported and researcher-defined core balances were reconciled; concentration was measured; and the change in core coverage was decomposed using a two-factor Shapley method. Three conditional 2026 scenarios were assessed using 100,000 correlated beta-PERT draws per scenario with Latin hypercube sampling. Outcomes included coverage, Fiscal-at-Risk, expected shortfall, reverse revenue thresholds and global sensitivity. Results: Core coverage increased from 47.75% to 49.49%, although the core financing gap rose from TRY 635.7 billion to TRY 867.0 billion. Revenue growth contributed 18.86 percentage points to coverage, while expenditure growth offset 17.12 points. Labour-related costs represented 67.28% of 2025 core expenditure, and one revenue class represented 83.68% of gross revenue. In the baseline scenario, the median modelled gap was TRY 1,205.6 billion and Fiscal-at-Risk at 95% was TRY 1,324.5 billion. Under managed disinflation, coverage improved in most draws while the nominal gap widened. Conclusions: The framework reveals a practically important divergence between proportional coverage and absolute financing need and converts static accounts into transparent, scenario-conditioned risk measures. Outputs are not official forecasts, causal estimates or audit findings.

Keywords

References

  1. Aikman, D., Angotti, R., & Budnik, K. (2024). Stress testing with multiple scenarios: A tale on tails and reverse stress scenarios (ECB Working Paper No. 2941). European Central Bank.
  2. Barbera, C., Guarini, E., & Steccolini, I. (2020). How do governments cope with austerity? The roles of accounting in shaping governmental financial resilience. Accounting, Auditing & Accountability Journal, 33(3), 529–558. [https://doi.org/10.1108/AAAJ-11-2018-3739](https://doi.org/10.1108/AAAJ-11-2018-3739)
  3. Barbera, C., Jones, M., Korac, S., Saliterer, I., & Steccolini, I. (2017). Governmental financial resilience under austerity in Austria, England and Italy: How do local governments cope with financial shocks? Public Administration, 95(3), 670–697. [https://doi.org/10.1111/padm.12350](https://doi.org/10.1111/padm.12350)
  4. Briggs, A. H., Weinstein, M. C., Fenwick, E. A. L., Karnon, J., Sculpher, M. J., & Paltiel, A. D. (2012). Model parameter estimation and uncertainty: A report of the ISPOR-SMDM Modeling Good Research Practices Task Force-6. Medical Decision Making, 32(5), 722–732. [https://doi.org/10.1177/0272989X12458348](https://doi.org/10.1177/0272989X12458348)
  5. Central Bank of the Republic of Türkiye. (2026). Inflation report 2026-II. [https://www.tcmb.gov.tr/wps/wcm/connect/EN/TCMB+EN/Main+Menu/Publications/Reports/Inflation+Report/2026/Inflation+Report+2026+-+II/](https://www.tcmb.gov.tr/wps/wcm/connect/EN/TCMB+EN/Main+Menu/Publications/Reports/Inflation+Report/2026/Inflation+Report+2026+-+II/)
  6. Chan, J. L. (2003). Government accounting: An assessment of theory, purposes and standards. Public Money & Management, 23(1), 13–20. [https://doi.org/10.1111/1467-9302.00336](https://doi.org/10.1111/1467-9302.00336)
  7. Kutzin, J. (2013). Health financing for universal coverage and health system performance: Concepts and implications for policy. Bulletin of the World Health Organization, 91(8), 602–611. [https://doi.org/10.2471/BLT.12.113985](https://doi.org/10.2471/BLT.12.113985)
  8. Liaropoulos, L., & Goranitis, I. (2015). Health care financing and the sustainability of health systems. International Journal for Equity in Health, 14, 80. [https://doi.org/10.1186/s12939-015-0208-5](https://doi.org/10.1186/s12939-015-0208-5)

Details

Primary Language

English

Subjects

Health Care Administration

Journal Section

Research Article

Publication Date

September 1, 2026

Submission Date

July 28, 2026

Acceptance Date

August 17, 2026

Published in Issue

Year 2026 Volume: 12

APA
Arslan Aras, İ. (2026). Probabilistic Fiscal Monitoring and Reverse Threshold Analysis of Türkiye’s Public Health Administration under High Inflation. Journal of International Health Sciences and Management, 12. https://doi.org/10.48121/jihsam.2004419
AMA
1.Arslan Aras İ. Probabilistic Fiscal Monitoring and Reverse Threshold Analysis of Türkiye’s Public Health Administration under High Inflation. Journal of International Health Sciences and Management. 2026;12. doi:10.48121/jihsam.2004419
Chicago
Arslan Aras, İlknur. 2026. “Probabilistic Fiscal Monitoring and Reverse Threshold Analysis of Türkiye’s Public Health Administration under High Inflation”. Journal of International Health Sciences and Management 12 (September). https://doi.org/10.48121/jihsam.2004419.
EndNote
Arslan Aras İ (September 1, 2026) Probabilistic Fiscal Monitoring and Reverse Threshold Analysis of Türkiye’s Public Health Administration under High Inflation. Journal of International Health Sciences and Management 12
IEEE
[1]İ. Arslan Aras, “Probabilistic Fiscal Monitoring and Reverse Threshold Analysis of Türkiye’s Public Health Administration under High Inflation”, Journal of International Health Sciences and Management, vol. 12, Sept. 2026, doi: 10.48121/jihsam.2004419.
ISNAD
Arslan Aras, İlknur. “Probabilistic Fiscal Monitoring and Reverse Threshold Analysis of Türkiye’s Public Health Administration under High Inflation”. Journal of International Health Sciences and Management 12 (September 1, 2026). https://doi.org/10.48121/jihsam.2004419.
JAMA
1.Arslan Aras İ. Probabilistic Fiscal Monitoring and Reverse Threshold Analysis of Türkiye’s Public Health Administration under High Inflation. Journal of International Health Sciences and Management. 2026;12. doi:10.48121/jihsam.2004419.
MLA
Arslan Aras, İlknur. “Probabilistic Fiscal Monitoring and Reverse Threshold Analysis of Türkiye’s Public Health Administration under High Inflation”. Journal of International Health Sciences and Management, vol. 12, Sept. 2026, doi:10.48121/jihsam.2004419.
Vancouver
1.İlknur Arslan Aras. Probabilistic Fiscal Monitoring and Reverse Threshold Analysis of Türkiye’s Public Health Administration under High Inflation. Journal of International Health Sciences and Management. 2026 Sep. 1;12. doi:10.48121/jihsam.2004419