Research Article
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Year 2024, Volume: 10 Issue: 19, 80 - 87, 30.04.2024
https://doi.org/10.48121/jihsam.1400530

Abstract

References

  • Abbas, F., & Hiemenz, U. (2011), Determinants of public health expenditures in Pakistan. ZEF-Discussion Papers on Development Policy, (158).
  • Alghamdi, T., Elgazzar, K., Bayoumi, M., Sharaf, T., & Shah, S. (2019, June). Forecasting traffic congestion using ARIMA modeling. In 2019 15th international wireless communications & mobile computing conference (IWCMC) (pp. 1227-1232). IEEE.
  • Andellini, M., Bassanelli, E., Faggiano, F., Esposito, M. T., Marino, S., & Ritrovato, M. (2021, June). Forecasting hospital performances using a hybrid ETS-ARIMA algorithm. In 2021 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4. 0&IoT) (pp. 42-47). IEEE.
  • Bektaş, N.B. & Çetinkaya, Ö. (2021). Bütçe Yönetimi Kavramı ve Türkiye’de Bütçe Yönetiminin Başarısının Değerlendirilmesi. International Journal of Public Finance, 6(2), 233-262.
  • Braendle, T., & Colombier, C. (2016). What drives public health care expenditure growth? Evidence from Swiss cantons. 1970-2012. Health policy (Amsterdam, Netherlands), 120(9), 1051–1060. https://doi.org/10.1016/j.healthpol.2016.07.009
  • Braithwaite, J., Matsuyama, Y., & Johnson, J. (2017). Healthcare reform, quality and safety: perspectives, participants, partnerships and prospects in 30 countries. CRC Press.
  • Cao, S., Wang, F., Tam, W., Tse, L. A., Kim, J. H., Liu, J., & Lu, Z. (2013). A hybrid seasonal prediction model for tuberculosis incidence in China. BMC medical informatics and decision making, 13(1), 1-7.
  • Cheung, Y. W., & Lai, K. S. (1995). Lag order and critical values of the augmented Dickey–Fuller test. Journal of Business & Economic Statistics, 13(3), 277-280.
  • Çiçek, H. G., & İpek, E. A. Ş. (2013). Performans Yönetiminin Amaç-Araç Uyumu Tartışması ve Performans Esaslı Bütçeleme Sistemi. Maliye Dergisi, 165, 80-96.
  • Dritsakis, Nikolaos & Klazoglou, Paraskevi, (2019). Time Series Analysis using ARIMA Models: An Approach to Forecasting Health Expenditure in USA. Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 72(1), pages 77-106.
  • Ergen, Z. (2021). Performans esaslı bütçe sisteminden program bazlı performans bütçe sistemine geçiş: yeni bütçe sistemi ile hedeflenenler. Ömer Halisdemir Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 14(1), 280-302. http://doi.org/10.25287/ohuiibf.778740.1
  • Fattah, J., Ezzine, L., Aman, Z., El Moussami, H., & Lachhab, A. (2018). Forecasting of demand using ARIMA model. International Journal of Engineering Business Management, 10, 1847979018808673.
  • Fekri O, Macarayan ER, Klazinga N. (2018). Health system performance assessment in the WHO European Region: which domains and indicators have been used by Member States for its measurement? Copenhagen: WHO Regional Office for Europe. (Health Evidence Network (HEN) synthesis report 55).
  • Green, A. T., & Mirzoev, T. N. (2008). Planning for public health policy. International Encyclopedia for Public Health, Heggenhougen K, Quah S.
  • Gujarati, D. N. (2001). Basic econometrics. 1995.
  • Hazine ve Maliye Bakanlığı (2019). T.C. Hazine ve Maliye Bakanlığı 2019-2023 Stratejik Plan. https://ms.hmb.gov.tr/uploads/2020/03/2019-2023-Maliye-Bakanl%C4%B1%C4%9F%C4%B1-Stratejik-Plan%C4%B1_Bas%C4%B1lacak-Versiyon.28.02.2020.pdf
  • Huzaifah, H., Tariq, M., Lai, W. K., Nur Adnin, A. Z., Dika, J., Juni, M. H., & Faisal, I. (2018). Theory of health planning: Case study for development of national health plan in Asean countries. International Journal of Public Health and Clinical Sciences, 5(4), 29-42.
  • Jakovljevic, M., Lamnisos, D., Westerman, R., Chattu, V. K., & Cerda, A. (2022). Future health spending forecast in leading emerging BRICS markets in 2030: health policy implications. Health research policy and systems, 20(1), 1-14.
  • Jiao, R., Zhang, Y., Di, C., Wu, B., Shu, J., Liu, Y., & Kuang, S. (2020). Prediction of the income and expenditure risk of social medical insurance fund based on ARIMA model. In 2020 Conference on Social Science and Modern Science (SSMS2020). DOI: 10.38007/Proceedings (Vol. 698).
  • Jira, C., Feleke, A., & Mitike, G. (2004). Health planning and management for health extension workers. Ethiopia Public Health Training Initiative.
  • Keleher, H. (2011). Population health planning for health equity. Australian Journal of Primary Health, 17(4), 327-333.
  • Kıran, Ş. Akbolat, M. ve Sevim F. (2022). Health System Financial Sustainability- The 2030 Projection For 23 OECD Countries. In book: International Research in Health Sciences V: Eğitim Yayınevi.
  • Kıran, Ş., Sevim, F., & Şenol, O. (2023). Gelir Gruplarına Göre Sağlığın Gelir Üzerindeki Etkisi: Bir Panel Veri Analizi. Sosyoekonomi, 31(57), 401-417. https://doi.org/10.17233/sosyoekonomi.2023.03.19
  • Kruk, M. E., & Freedman, L. P. (2008). Assessing health system performance in developing countries: a review of the literatüre. Health policy, 85(3), 263-276.
  • Nolte, E., & McKee, M. (2004). Does health care save lives? Avoidable mortality revisited. The Nuffield Trust.
  • Oshinubi, K., Rachdi, M., & Demongeot, J. (2021, September). Analysis of reproduction number R0 of COVID-19 using current health expenditure as gross domestic product percentage (CHE/GDP) across countries. In Healthcare (Vol. 9, No. 10, p. 1247). MDPI.
  • Ramezanian, M., Haghdoost, A. A., Mehrolhassani, M. H., Abolhallaje, M., Dehnavieh, R., Najafi, B., & Fazaeli, A. A. (2019). Forecasting health expenditures in Iran using the ARIMA model (2016-2020). Medical journal of the Islamic Republic of Iran, 33, 25.
  • Schaffer, A. L., Dobbins, T. A., & Pearson, S. A. (2021). Interrupted time series analysis using autoregressive integrated moving average (ARIMA) models: a guide for evaluating large-scale health interventions. BMC medical research methodology, 21(1), 1-12.
  • Singh, S., Parmar, K. S., Kumar, J., & Makkhan, S. J. S. (2020). Development of new hybrid model of discrete wavelet decomposition and autoregressive integrated moving average (ARIMA) models in application to one month forecast the casualties cases of COVID-19. Chaos, Solitons & Fractals, 135, 109866.
  • Tosun, N. (2022). Sağlıkta planlama üzerine kavramsal bir değerlendirme. Turkish Studies - Social, 17(1), 97-115. https://dx.doi.org/10.7827/TurkishStudies.52414
  • Tsofa, B., Molyneux, S., & Goodman, C. (2016). Health sector operational planning and budgeting processes in Kenya—“never the twain shall meet. The International journal of health planning and management, 31(3), 260-276.
  • World Bank (1993). World Development Report 1993, Investing in Health. Washington D.C: World Bank.
  • World Health Organization. (2003). Guide to producing national health accounts: with special applications for low-income and middle-income countries. World Health Organization.
  • World Health Organization. (‎2016)‎. Strategizing national health in the 21st century: a handbook”, World Health Organization. https://apps.who.int/iris/handle/10665/250221
  • Yıldız, B., & Yıldız, G. (2018). Sağlık Harcamalarının Ekonomik Büyüme Üzerindeki Etkisi: Avrupa ve Merkez Asya Ülkeleri Örneği. Maliye Dergisi, 174, 203-218.
  • Yılmaz, H. H., & Akdeniz, İ. (2020). Cumhurbaşkanlığı Hükümet Sistemi ile Değişen Kamu Mali Yönetim Sisteminde Program Bazlı Bütçe Sistemine Yönelik Bir Yapılandırma Önerisi. Sayıştay Dergisi, (117), 87-114.
  • Zheng, A., Fang, Q., Zhu, Y., Jiang, C., Jin, F., & Wang, X. (2020). An application of ARIMA model for predicting total health expenditure in China from 1978-2022. Journal of global health, 10(1).

Estimating of Health Services Expenditures within the Framework of Public Financial Management Using ARIMA Method

Year 2024, Volume: 10 Issue: 19, 80 - 87, 30.04.2024
https://doi.org/10.48121/jihsam.1400530

Abstract

This study aims to estimate and evaluate the trends in public health expenditures and total expenditures within the scope of public financial management. The study employs the ARIMA model, a time series method, using monthly data spanning 202 periods from January 2006 to October 2022. The estimated period extends from November 2022 to December 2024. The findings reveal a notable upward trend in both public health expenditures and total expenditures. Projections indicate that public health services expenditures are estimated to be approximately TL 251 billion in 2024, with total expenditures reaching approximately TL 3.98 trillion. By emphasizing a strong linkage between policy, planning, and budgeting, the study draws inferences to enhance the potential for effective and efficient resource utilization. In this context, the study underscores the importance of a strategic framework for the effective utilization of public resources. The results of this study, shedding light on decision-makers in public expenditure management, can provide valuable insights for future planning and policy considerations.

References

  • Abbas, F., & Hiemenz, U. (2011), Determinants of public health expenditures in Pakistan. ZEF-Discussion Papers on Development Policy, (158).
  • Alghamdi, T., Elgazzar, K., Bayoumi, M., Sharaf, T., & Shah, S. (2019, June). Forecasting traffic congestion using ARIMA modeling. In 2019 15th international wireless communications & mobile computing conference (IWCMC) (pp. 1227-1232). IEEE.
  • Andellini, M., Bassanelli, E., Faggiano, F., Esposito, M. T., Marino, S., & Ritrovato, M. (2021, June). Forecasting hospital performances using a hybrid ETS-ARIMA algorithm. In 2021 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4. 0&IoT) (pp. 42-47). IEEE.
  • Bektaş, N.B. & Çetinkaya, Ö. (2021). Bütçe Yönetimi Kavramı ve Türkiye’de Bütçe Yönetiminin Başarısının Değerlendirilmesi. International Journal of Public Finance, 6(2), 233-262.
  • Braendle, T., & Colombier, C. (2016). What drives public health care expenditure growth? Evidence from Swiss cantons. 1970-2012. Health policy (Amsterdam, Netherlands), 120(9), 1051–1060. https://doi.org/10.1016/j.healthpol.2016.07.009
  • Braithwaite, J., Matsuyama, Y., & Johnson, J. (2017). Healthcare reform, quality and safety: perspectives, participants, partnerships and prospects in 30 countries. CRC Press.
  • Cao, S., Wang, F., Tam, W., Tse, L. A., Kim, J. H., Liu, J., & Lu, Z. (2013). A hybrid seasonal prediction model for tuberculosis incidence in China. BMC medical informatics and decision making, 13(1), 1-7.
  • Cheung, Y. W., & Lai, K. S. (1995). Lag order and critical values of the augmented Dickey–Fuller test. Journal of Business & Economic Statistics, 13(3), 277-280.
  • Çiçek, H. G., & İpek, E. A. Ş. (2013). Performans Yönetiminin Amaç-Araç Uyumu Tartışması ve Performans Esaslı Bütçeleme Sistemi. Maliye Dergisi, 165, 80-96.
  • Dritsakis, Nikolaos & Klazoglou, Paraskevi, (2019). Time Series Analysis using ARIMA Models: An Approach to Forecasting Health Expenditure in USA. Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 72(1), pages 77-106.
  • Ergen, Z. (2021). Performans esaslı bütçe sisteminden program bazlı performans bütçe sistemine geçiş: yeni bütçe sistemi ile hedeflenenler. Ömer Halisdemir Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 14(1), 280-302. http://doi.org/10.25287/ohuiibf.778740.1
  • Fattah, J., Ezzine, L., Aman, Z., El Moussami, H., & Lachhab, A. (2018). Forecasting of demand using ARIMA model. International Journal of Engineering Business Management, 10, 1847979018808673.
  • Fekri O, Macarayan ER, Klazinga N. (2018). Health system performance assessment in the WHO European Region: which domains and indicators have been used by Member States for its measurement? Copenhagen: WHO Regional Office for Europe. (Health Evidence Network (HEN) synthesis report 55).
  • Green, A. T., & Mirzoev, T. N. (2008). Planning for public health policy. International Encyclopedia for Public Health, Heggenhougen K, Quah S.
  • Gujarati, D. N. (2001). Basic econometrics. 1995.
  • Hazine ve Maliye Bakanlığı (2019). T.C. Hazine ve Maliye Bakanlığı 2019-2023 Stratejik Plan. https://ms.hmb.gov.tr/uploads/2020/03/2019-2023-Maliye-Bakanl%C4%B1%C4%9F%C4%B1-Stratejik-Plan%C4%B1_Bas%C4%B1lacak-Versiyon.28.02.2020.pdf
  • Huzaifah, H., Tariq, M., Lai, W. K., Nur Adnin, A. Z., Dika, J., Juni, M. H., & Faisal, I. (2018). Theory of health planning: Case study for development of national health plan in Asean countries. International Journal of Public Health and Clinical Sciences, 5(4), 29-42.
  • Jakovljevic, M., Lamnisos, D., Westerman, R., Chattu, V. K., & Cerda, A. (2022). Future health spending forecast in leading emerging BRICS markets in 2030: health policy implications. Health research policy and systems, 20(1), 1-14.
  • Jiao, R., Zhang, Y., Di, C., Wu, B., Shu, J., Liu, Y., & Kuang, S. (2020). Prediction of the income and expenditure risk of social medical insurance fund based on ARIMA model. In 2020 Conference on Social Science and Modern Science (SSMS2020). DOI: 10.38007/Proceedings (Vol. 698).
  • Jira, C., Feleke, A., & Mitike, G. (2004). Health planning and management for health extension workers. Ethiopia Public Health Training Initiative.
  • Keleher, H. (2011). Population health planning for health equity. Australian Journal of Primary Health, 17(4), 327-333.
  • Kıran, Ş. Akbolat, M. ve Sevim F. (2022). Health System Financial Sustainability- The 2030 Projection For 23 OECD Countries. In book: International Research in Health Sciences V: Eğitim Yayınevi.
  • Kıran, Ş., Sevim, F., & Şenol, O. (2023). Gelir Gruplarına Göre Sağlığın Gelir Üzerindeki Etkisi: Bir Panel Veri Analizi. Sosyoekonomi, 31(57), 401-417. https://doi.org/10.17233/sosyoekonomi.2023.03.19
  • Kruk, M. E., & Freedman, L. P. (2008). Assessing health system performance in developing countries: a review of the literatüre. Health policy, 85(3), 263-276.
  • Nolte, E., & McKee, M. (2004). Does health care save lives? Avoidable mortality revisited. The Nuffield Trust.
  • Oshinubi, K., Rachdi, M., & Demongeot, J. (2021, September). Analysis of reproduction number R0 of COVID-19 using current health expenditure as gross domestic product percentage (CHE/GDP) across countries. In Healthcare (Vol. 9, No. 10, p. 1247). MDPI.
  • Ramezanian, M., Haghdoost, A. A., Mehrolhassani, M. H., Abolhallaje, M., Dehnavieh, R., Najafi, B., & Fazaeli, A. A. (2019). Forecasting health expenditures in Iran using the ARIMA model (2016-2020). Medical journal of the Islamic Republic of Iran, 33, 25.
  • Schaffer, A. L., Dobbins, T. A., & Pearson, S. A. (2021). Interrupted time series analysis using autoregressive integrated moving average (ARIMA) models: a guide for evaluating large-scale health interventions. BMC medical research methodology, 21(1), 1-12.
  • Singh, S., Parmar, K. S., Kumar, J., & Makkhan, S. J. S. (2020). Development of new hybrid model of discrete wavelet decomposition and autoregressive integrated moving average (ARIMA) models in application to one month forecast the casualties cases of COVID-19. Chaos, Solitons & Fractals, 135, 109866.
  • Tosun, N. (2022). Sağlıkta planlama üzerine kavramsal bir değerlendirme. Turkish Studies - Social, 17(1), 97-115. https://dx.doi.org/10.7827/TurkishStudies.52414
  • Tsofa, B., Molyneux, S., & Goodman, C. (2016). Health sector operational planning and budgeting processes in Kenya—“never the twain shall meet. The International journal of health planning and management, 31(3), 260-276.
  • World Bank (1993). World Development Report 1993, Investing in Health. Washington D.C: World Bank.
  • World Health Organization. (2003). Guide to producing national health accounts: with special applications for low-income and middle-income countries. World Health Organization.
  • World Health Organization. (‎2016)‎. Strategizing national health in the 21st century: a handbook”, World Health Organization. https://apps.who.int/iris/handle/10665/250221
  • Yıldız, B., & Yıldız, G. (2018). Sağlık Harcamalarının Ekonomik Büyüme Üzerindeki Etkisi: Avrupa ve Merkez Asya Ülkeleri Örneği. Maliye Dergisi, 174, 203-218.
  • Yılmaz, H. H., & Akdeniz, İ. (2020). Cumhurbaşkanlığı Hükümet Sistemi ile Değişen Kamu Mali Yönetim Sisteminde Program Bazlı Bütçe Sistemine Yönelik Bir Yapılandırma Önerisi. Sayıştay Dergisi, (117), 87-114.
  • Zheng, A., Fang, Q., Zhu, Y., Jiang, C., Jin, F., & Wang, X. (2020). An application of ARIMA model for predicting total health expenditure in China from 1978-2022. Journal of global health, 10(1).
There are 37 citations in total.

Details

Primary Language English
Subjects Health Policy, Health Services and Systems (Other)
Journal Section Orginal Research
Authors

Ferit Sevim 0000-0001-6935-9650

İsmail Ağırbaş 0000-0002-1664-5159

Early Pub Date April 29, 2024
Publication Date April 30, 2024
Submission Date December 5, 2023
Acceptance Date April 3, 2024
Published in Issue Year 2024 Volume: 10 Issue: 19

Cite

APA Sevim, F., & Ağırbaş, İ. (2024). Estimating of Health Services Expenditures within the Framework of Public Financial Management Using ARIMA Method. Journal of International Health Sciences and Management, 10(19), 80-87. https://doi.org/10.48121/jihsam.1400530
AMA Sevim F, Ağırbaş İ. Estimating of Health Services Expenditures within the Framework of Public Financial Management Using ARIMA Method. Journal of International Health Sciences and Management. April 2024;10(19):80-87. doi:10.48121/jihsam.1400530
Chicago Sevim, Ferit, and İsmail Ağırbaş. “Estimating of Health Services Expenditures Within the Framework of Public Financial Management Using ARIMA Method”. Journal of International Health Sciences and Management 10, no. 19 (April 2024): 80-87. https://doi.org/10.48121/jihsam.1400530.
EndNote Sevim F, Ağırbaş İ (April 1, 2024) Estimating of Health Services Expenditures within the Framework of Public Financial Management Using ARIMA Method. Journal of International Health Sciences and Management 10 19 80–87.
IEEE F. Sevim and İ. Ağırbaş, “Estimating of Health Services Expenditures within the Framework of Public Financial Management Using ARIMA Method”, Journal of International Health Sciences and Management, vol. 10, no. 19, pp. 80–87, 2024, doi: 10.48121/jihsam.1400530.
ISNAD Sevim, Ferit - Ağırbaş, İsmail. “Estimating of Health Services Expenditures Within the Framework of Public Financial Management Using ARIMA Method”. Journal of International Health Sciences and Management 10/19 (April 2024), 80-87. https://doi.org/10.48121/jihsam.1400530.
JAMA Sevim F, Ağırbaş İ. Estimating of Health Services Expenditures within the Framework of Public Financial Management Using ARIMA Method. Journal of International Health Sciences and Management. 2024;10:80–87.
MLA Sevim, Ferit and İsmail Ağırbaş. “Estimating of Health Services Expenditures Within the Framework of Public Financial Management Using ARIMA Method”. Journal of International Health Sciences and Management, vol. 10, no. 19, 2024, pp. 80-87, doi:10.48121/jihsam.1400530.
Vancouver Sevim F, Ağırbaş İ. Estimating of Health Services Expenditures within the Framework of Public Financial Management Using ARIMA Method. Journal of International Health Sciences and Management. 2024;10(19):80-7.