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Examining the Efficiency Change in Healthcare Systems in the SARS-CoV-2 (COVID-19) Outbreak with the Slack-Based Model and Malmquist Total Factor Productivity Approaches

Yıl 2024, , 479 - 500, 31.10.2024
https://doi.org/10.51551/verimlilik.1450917

Öz

Purpose: This study aimed to investigate the impact of the SARS-CoV-2 (COVID-19) outbreak on the efficiency levels of healthcare systems.
Methodology: A Slack-based model, a panel data analysis model, a Malmquist Total Factor Productivity Index model, and a test for statistical significance were used. The number of physicians per 1,000 people, health expenditure per capita in US dollars by purchasing power parity, and the number of computed tomography scanners per 1,000,000 people were used as the input variables while life expectancy at birth for males and females were used as the output variables.
Findings: The COVID-19 outbreak significantly reduced the Slack-based efficiency scores and the Malmquist Total Factor Productivity Index scores (p<0.05).
Originality: This study, for the first time in the literature, discussed the time-based efficiency in healthcare systems in two different periods, before and during COVID-19, and examined whether the efficiency levels changed significantly between the periods. Unlike the other studies investigating the efficiency levels of healthcare systems specifically for the COVID-19 period, the current study covered a pretty long time and also focused on the pre-COVID-19 period.

Kaynakça

  • Acar, E., Gökkaya, D. ve Şenol, O. (2023). “Efficiency Analysis of Middle-Income Countries in Terms of Health Indicators for the Covid Process”, Manas Sosyal Araştırmalar Dergisi, 12(Özel Sayı), 300-317.
  • Akbulut, F. (2023). “Avrupa Birliği'ne Üye Ülkelerin ve Türkiye'nin Harcama Göstergelerinin Etkinliğinin Malmquist İndex ve VZA Yöntemiyle İncelenmesi”, Ordu Üniversitesi Sosyal Bilimler Enstitüsü Sosyal Bilimler Araştırmaları Dergisi, 13(3), 3491-3509.
  • Baltagi, B.H. ve Kao, C. (2000). “Nonstationary Panels, Cointegration in Panels and Dynamic Panels: A Survey. https://surface.syr.edu/cgi/viewcontent.cgi?article=1135&context=cpr, (Erişim tarihi: 08.03.2024).
  • Banker, R.D., Charnes, A. ve Cooper, W.W. (1984). “Some Models for Estimating Technical and Scale İnefficiencies in Data Envelopment Analysis”, Management science, 30(9), 1078-1092.
  • Behr, A. ve Theune, K. (2017). “Health System Efficiency: a Fragmented Picture based on OECD Data”, PharmacoEconomics-Open, 1, 203-221.
  • Breitenbach, M. C., Ngobeni, V., ve Aye, G. C. (2021). “Global Healthcare Resource Efficiency in the Management of COVID-19 Death and İnfection Prevalence Rates”, Frontiers in Public Health, 9, 638481.
  • Caves, D.W., Christensen, L.R. ve Diewert, W. E. (1982a). “Multilateral Comparisons of Output, Input and Productivity Using Superlative Index Numbers”, Economic Journal, 92, 73-86.
  • Caves, D.W., Christensen, L.R. ve Diewert, W. E. (1982b). “The Economic Theory of Index Numbers and the Measurement of Input, Output and Productivity”, Econometrica, 50, 1393-1414.
  • Charnes, A., Cooper, W.W. ve Rhodes, E. (1978). Measuring the Efficiency of Decision Making Units”, European journal of operational research, 2(6), 429-444.
  • Chen, Y., Wang, J., Zhu, J., Sherman, H.D., ve Chou, S.Y. (2019). “How the Great Recession Affects Performance: a Case of Pennsylvania Hospitals Using DEA”, Annals of operations research, 278, 77-99.
  • Cheng, G. ve Zervopoulos, P.D. (2014). Estimating the Technical Efficiency of Health Care Systems: A Cross-Country Comparison Using the Directional Distance Function”, European Journal of Operational Research, 238(3), 899-910.
  • Cho, T.Y. ve Chen, Y.S. (2021). “The impact of financial technology on China’s banking industry: An application of the metafrontier cost Malmquist productivity index”, The North American Journal of Economics and Finance, 57, 101414.
  • Dirik, C. ve Şahin, S. (2020). “Türkiye’deki Sağlık Hizmetlerinin Etkinlik ve Verimlilik Analizi: Radyal VE Radyal Olmayan VZA ve MVE Modellerinin Karşılaştırması”. Süleyman Demirel Üniversitesi Vizyoner Dergisi, 11(28), 790-814.
  • El Bcheraoui, C., Weishaar, H., Pozo-Martin, F. ve Hanefeld, J. (2020). “Assessing COVID-19 through the Lens of Health Systems’ Preparedness: Time for a Change”, Globalization and Health, 16, 1-5.
  • Färe, R., Grosskopf, S, Lindgren, B. ve Roos, P. (1994). “Productivity Developments in Swedish Hospitals: A Malmquist Output İndex Approach”. In: Charnes, Cooper, W.W., Lewin A. Y., Seiford L.M., editors. Data Envelopment Analysis: Theory, Methodology, and Applications. Boston: Kluwer Academic Publishers, 253-272.
  • Färe, R. ve Grosskopf, S. (1996). “Productivity and İntermediate Products: A Frontier Approach”, Economics letters, 50(1), 65-70.
  • Farrell, M.J. (1957). “The Measurement of Productive Efficiency”, Journal of the Royal Statistical Society Series A: Statistics in Society, 120(3), 253-281.
  • Fuchs, V.R. (2018). “Is US medical care inefficient?”, JAMA, 320(10), 971-972. Gavurova, B., Kocisova, K. ve Sopko, J. (2021). “Health System Efficiency in OECD Countries: Dynamic Network DEA Approach”, Health Economics Review, 11(1), 1-25.
  • Grausová, M., Hužvár, M., ve Štrangfeldová, J. (2014). “Healthcare Systems Efficiency in the Visegrád Group”, Applications of Mathematics and Statistics in Economics, 104-113.
  • Güzel, İ. ve Gider, Ö. (2023). “Sağlık Alanında Veri Zarflama Analizi ve Malmquist Toplam Faktör Verimlilik İndeksi İle Etkinlik Ölçümü: Türkiye ve Avrupa Birliği Ülkeleri’nde Bir Uygulama”, Hacettepe Sağlık İdaresi Dergisi, 26(1), 219-236.
  • Habib, A.M. ve Shahwan, T.M. (2020). “Measuring the Operational and Financial Efficiency Using a Malmquist Data Envelopment Analysis: a Case of Egyptian Hospitals”, Benchmarking: An International Journal, 27(9), 2521-2536.
  • Hamzah, N., Yu, M.M. ve See, K.F. (2021). “Assessing the Efficiency of Malaysia Health System in COVID-19 Prevention and Treatment Response”, Health Care Management Science, 24, 273-285.
  • Hausman, J.A. (1978). “Specification Tests in Econometrics”, Econometrica: Journal of the econometric society, 1251-1271.
  • Hsu, Y.C. (2014). “Efficiency in Government Health Spending: A Super Slacks-Based Model”, Quality ve Quantity, 48(1), 111-126.
  • Kang, J., Peng, R., Feng, J., Wei, J., Li, Z., Huang, F., Yu, F., Su, X., Chen, Y., Qin, X. ve Feng, Q. (2023). “Health Systems Efficiency in China and ASEAN, 2015–2020: a DEA-Tobit and SFA Analysis Application”, BMJ Open, 13(9), e075030.
  • Kıdak, Ş.M., Arapoğlu, R.A. ve Demirtaş, E. A. (2023). “Efficiency Analysis of OECD Countries During COVID-19 Pandemic Using Multi-Stage DEA”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 29(5), 426-439.
  • Konca, M. ve Top, M. (2023). “What Predicts the Technical Efficiency in Healthcare Systems of OECD Countries? A Two-Stage DEA Approach”, International Journal of Healthcare Management, 16(1), 104-119.
  • Kozuń-Cieślak, G. (2020). “Is the Efficiency of the Healthcare System Linked to the Country's Economic Performance? Beveridgeans versus Bismarckians”, Acta Oeconomica, 70(1), 1-17.
  • Kozuń-Cieślak, G. ve Zdrazil, P. (2021). “Efficiency of Healthcare Systems in the European Union States: Who Performs Better: Bismarckians or Beveridgeans?”, European Research Studies Journal, 24(4), 397-411.
  • Kuzior, A. Kashcha, M., Kuzmenko, O., Lyeonov, S. ve Brożek, P. (2022). “Public Health System Economic Efficiency and COVID-19 Resilience: Frontier DEA Analysis”, International Journal of Environmental Research and Public Health, 19(22), 14727.
  • Liu, W., Xia, Y. ve Hou, J. (2019). “Health Expenditure Efficiency in Rural China Using the Super-SBM Model and the Malmquist Productivity İndex”, International journal for equity in health, 18, 1-13.
  • Lu, C.C., Chiu, Y.H., Yang, C.Y. ve Lin, T.Y. (2021). “Evaluating the Energy, Health Efficiency, and Productivity in OECD”, Environmental Geochemistry and Health, 43, 4347-4365.
  • Lupu, D. ve Tiganasu, R. (2022). “COVID-19 and the Efficiency of Health Systems in Europe”, Health Economics Review, 12(1), 1-15.
  • Malmquist, S. (1953). “Index Numbers and İndifference Surfaces”, Trabajos de Estadística, 4(2), 209-242. Manavgat, G. ve Audibert, M. (2024). “Healthcare System Efficiency and Drivers: Re-Evaluation of OECD Countries for COVID-19”, SSM-Health Systems, 2, 100003.
  • Maniadakis, N. ve Thanassoulis, E. (2004). “A cost Malmquist productivity index”, European Journal of Operational Research, 154(2), 396-409.
  • Martín-Gamboa, M. ve Iribarren, D. (2021). “Coupled life Cycle Thinking and Data Envelopment Analysis for Quantitative Sustainability İmprovement” https://www.sciencedirect.com/topics/earth-and-planetary- sciences/data-envelopment-analysis, (Erişim tarihi: 08.03.2024).
  • Mogha, S.K., Yadav, S.P. ve Singh, S.P. (2014). “New Slack Model Based Efficiency Assessment of Public Sector Hospitals of Uttarakhand: State of India”, International Journal of System Assurance Engineering and Management, 5, 32-42.
  • OECD (2024). “Health data”. https://data.oecd.org/health.htm, (Erişim tarihi: 08.02.2024).
  • OECD, (2017). https://www.oecd.org/health/Latvia-health-promoting-better-access.pdf, (Erişim tarihi: 15.04.2024).
  • Ozcan, Y. (2014). “Health Care Benchmarking and Performance Evaluation: An Assessment Using Data Envelopment Analysis (DEA)”, Second Edition, Springer, USA.
  • Ozcan, Y.A. ve Khushalani, J. (2017). “Assessing Efficiency of Public Health and Medical Care Provision in OECD Countries After a Decade of Reform”, Central European Journal of Operations Research, 25(2), 325-343.
  • Samut, P.K. (2023). “Efficiency Determinants in Healthcare: A Systematic Review With an Integrated Canonical Correlation Analysis–Data Envelopment Analysis/Assurance Region Model”, Journal of Healthcare Management, 68(5), 356-375.
  • Selamzade, F. ve Yeşilyurt, Ö. (2023). “Afrika Ülkeleri Sağlık Sistemlerinin Etkinlik Durumlarının Veri Zarflama ve Tobit Analizleriyle Değerlendirilmesi”, Anemon Muş Alparslan Üniversitesi Sosyal Bilimler Dergisi, 11(Afrika), 204-224.
  • Şengün, İ. ve Yiğit, V. (2021). “Asya Ülkeleri Sağlık Sistemi Verimliliğinin Parametrik Olmayan Yöntemler İle Analizi”, Süleyman Demirel Üniversitesi Vizyoner Dergisi, 12(29), 299-316.
  • Telli, R. ve Serin, Z.V. (2022). “Gelişmekte Olan Ülkelerde Sağlık Harcamaları Etkinliğinin Malmquist İndeksi İle Belirlenmesi”, Verimlilik Dergisi, 4, 723-740.
  • Tone, K. (2001). “A Slacks-Based Measure of Efficiency in Data Envelopment Analysis”, European Journal of Operational Research, 130(3), 498-509.
  • Tone, K. (2004). “Malmquist Productivity Index”. In: Handbook on Data Envelopment Analysis, Editors: William W. Cooper, Lawrence M. Seiford, Joe Zhu, Kluwer Publishings, 203-227.”
  • Vankar, P. (2024). https://www.statista.com/statistics/1376359/health-and-health-system-ranking-of-countries-worldwide/ (Erişim tarihi: 11.04.2024).
  • Vishniakov, D., Kasiev, N. ve Abdrasulova, F. (2023). “Healthcare System Efficiency and its Drivers in Pre-And COVID-19 Pandemic Settings”, Business, Management and Economics Engineering, 21(2), 293-310.
  • Walheer, B. (2022). “Global Malmquist and Cost Malmquist Indexes for Group Comparison”, Journal of Productivity Analysis, 58(1), 75-93.
  • Wooldridge, J.M. (2010). Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge. Worldometers (2024) https://www.worldometers.info/coronavirus/ (Erişim tarihi: 17.04.2024).
  • Yetim, B., Sönmez, S., Konca, M. ve İlgün, G. (2023). “Benchmarking Countries' Technical Efficiency Using AHP-Based Weighted Slack-Based Measurement (W-SBM): A Cross-National Perspective”, Health Policy and Technology, 12(3), 100782.
  • Zhang, G., Ye, Y. ve Sun, M. (2023). “Assessing the Static and Dynamic Efficiency of Digital Economy in China: Three Stage DEA–Malmquist Index Based Approach”, Sustainability, 15(6), 5270.
  • Zhou, L., Ampon-Wireko, S., Dauda, L., Xu, X., Antwi, M. O. ve Larnyo, E. (2020). “Empirical Analysis of Factors Influencing Healthcare Efficiency Among Emerging Countries”, Healthcare 9(1), 1-16.

Aylak Tabanlı Model ve Malmquist Toplam Faktör Verimliliği Yaklaşımları ile SARS-CoV-2 (COVID-19) Pandemisinde Sağlık Sistemlerinde Etkinlik Değişiminin İncelenmesi

Yıl 2024, , 479 - 500, 31.10.2024
https://doi.org/10.51551/verimlilik.1450917

Öz

Amaç: Bu çalışma, SARS-CoV-2 (COVID-19) pandemisinin sağlık sistemlerinin etkinliği üzerindeki etkisini araştırmayı amaçlamıştır.
Yöntem: Çalışmada, aylak tabanlı model, panel veri analizi, Malmquist Toplam Faktör Verimlilik Endeksi ve istatistiksel fark testi kullanılmıştır. Çalışmanın girdi değişkenleri olarak; 1.000 kişiye düşen hekim sayısı, satın alma gücü paritesine göre Amerikan doları olarak kişi başına düşen sağlık harcaması, 1.000.000 kişiye düşen bilgisayarlı tomografi cihazı sayısı; çıktı değişkenleri olarak ise, erkeklerde ve kadınlarda doğumda beklenen yaşam süresi kullanılmıştır.
Bulgular: COVID-19 pandemisi aylak tabanlı model ve Malmquist Toplam Faktör Verimlilik Endeksi skorlarını anlamlı bir şekilde azaltmıştır (p<0,05).
Özgünlük: Bu çalışmada literatürde ilk kez sağlık sistemlerinde zamana dayalı etkinlik, COVID-19 öncesi ve sırası olmak üzere iki farklı dönemde ele alınmış ve etkinlik düzeylerinin dönemler arasında anlamlı bir şekilde değişip değişmediği incelenmiştir. Bu çalışma, sağlık sistemlerinin etkinlik düzeyini COVID-19 dönemine özel inceleyen diğer çalışmalardan farklı olarak oldukça uzun bir süreyi kapsamaktadır ve aynı zamanda COVID-19 öncesi döneme de odaklanmaktadır.

Etik Beyan

Bu makalede kullanılan veriler ikincil veri kaynağından alındığından, makale etik kurul izni gerektirmemektedir.

Kaynakça

  • Acar, E., Gökkaya, D. ve Şenol, O. (2023). “Efficiency Analysis of Middle-Income Countries in Terms of Health Indicators for the Covid Process”, Manas Sosyal Araştırmalar Dergisi, 12(Özel Sayı), 300-317.
  • Akbulut, F. (2023). “Avrupa Birliği'ne Üye Ülkelerin ve Türkiye'nin Harcama Göstergelerinin Etkinliğinin Malmquist İndex ve VZA Yöntemiyle İncelenmesi”, Ordu Üniversitesi Sosyal Bilimler Enstitüsü Sosyal Bilimler Araştırmaları Dergisi, 13(3), 3491-3509.
  • Baltagi, B.H. ve Kao, C. (2000). “Nonstationary Panels, Cointegration in Panels and Dynamic Panels: A Survey. https://surface.syr.edu/cgi/viewcontent.cgi?article=1135&context=cpr, (Erişim tarihi: 08.03.2024).
  • Banker, R.D., Charnes, A. ve Cooper, W.W. (1984). “Some Models for Estimating Technical and Scale İnefficiencies in Data Envelopment Analysis”, Management science, 30(9), 1078-1092.
  • Behr, A. ve Theune, K. (2017). “Health System Efficiency: a Fragmented Picture based on OECD Data”, PharmacoEconomics-Open, 1, 203-221.
  • Breitenbach, M. C., Ngobeni, V., ve Aye, G. C. (2021). “Global Healthcare Resource Efficiency in the Management of COVID-19 Death and İnfection Prevalence Rates”, Frontiers in Public Health, 9, 638481.
  • Caves, D.W., Christensen, L.R. ve Diewert, W. E. (1982a). “Multilateral Comparisons of Output, Input and Productivity Using Superlative Index Numbers”, Economic Journal, 92, 73-86.
  • Caves, D.W., Christensen, L.R. ve Diewert, W. E. (1982b). “The Economic Theory of Index Numbers and the Measurement of Input, Output and Productivity”, Econometrica, 50, 1393-1414.
  • Charnes, A., Cooper, W.W. ve Rhodes, E. (1978). Measuring the Efficiency of Decision Making Units”, European journal of operational research, 2(6), 429-444.
  • Chen, Y., Wang, J., Zhu, J., Sherman, H.D., ve Chou, S.Y. (2019). “How the Great Recession Affects Performance: a Case of Pennsylvania Hospitals Using DEA”, Annals of operations research, 278, 77-99.
  • Cheng, G. ve Zervopoulos, P.D. (2014). Estimating the Technical Efficiency of Health Care Systems: A Cross-Country Comparison Using the Directional Distance Function”, European Journal of Operational Research, 238(3), 899-910.
  • Cho, T.Y. ve Chen, Y.S. (2021). “The impact of financial technology on China’s banking industry: An application of the metafrontier cost Malmquist productivity index”, The North American Journal of Economics and Finance, 57, 101414.
  • Dirik, C. ve Şahin, S. (2020). “Türkiye’deki Sağlık Hizmetlerinin Etkinlik ve Verimlilik Analizi: Radyal VE Radyal Olmayan VZA ve MVE Modellerinin Karşılaştırması”. Süleyman Demirel Üniversitesi Vizyoner Dergisi, 11(28), 790-814.
  • El Bcheraoui, C., Weishaar, H., Pozo-Martin, F. ve Hanefeld, J. (2020). “Assessing COVID-19 through the Lens of Health Systems’ Preparedness: Time for a Change”, Globalization and Health, 16, 1-5.
  • Färe, R., Grosskopf, S, Lindgren, B. ve Roos, P. (1994). “Productivity Developments in Swedish Hospitals: A Malmquist Output İndex Approach”. In: Charnes, Cooper, W.W., Lewin A. Y., Seiford L.M., editors. Data Envelopment Analysis: Theory, Methodology, and Applications. Boston: Kluwer Academic Publishers, 253-272.
  • Färe, R. ve Grosskopf, S. (1996). “Productivity and İntermediate Products: A Frontier Approach”, Economics letters, 50(1), 65-70.
  • Farrell, M.J. (1957). “The Measurement of Productive Efficiency”, Journal of the Royal Statistical Society Series A: Statistics in Society, 120(3), 253-281.
  • Fuchs, V.R. (2018). “Is US medical care inefficient?”, JAMA, 320(10), 971-972. Gavurova, B., Kocisova, K. ve Sopko, J. (2021). “Health System Efficiency in OECD Countries: Dynamic Network DEA Approach”, Health Economics Review, 11(1), 1-25.
  • Grausová, M., Hužvár, M., ve Štrangfeldová, J. (2014). “Healthcare Systems Efficiency in the Visegrád Group”, Applications of Mathematics and Statistics in Economics, 104-113.
  • Güzel, İ. ve Gider, Ö. (2023). “Sağlık Alanında Veri Zarflama Analizi ve Malmquist Toplam Faktör Verimlilik İndeksi İle Etkinlik Ölçümü: Türkiye ve Avrupa Birliği Ülkeleri’nde Bir Uygulama”, Hacettepe Sağlık İdaresi Dergisi, 26(1), 219-236.
  • Habib, A.M. ve Shahwan, T.M. (2020). “Measuring the Operational and Financial Efficiency Using a Malmquist Data Envelopment Analysis: a Case of Egyptian Hospitals”, Benchmarking: An International Journal, 27(9), 2521-2536.
  • Hamzah, N., Yu, M.M. ve See, K.F. (2021). “Assessing the Efficiency of Malaysia Health System in COVID-19 Prevention and Treatment Response”, Health Care Management Science, 24, 273-285.
  • Hausman, J.A. (1978). “Specification Tests in Econometrics”, Econometrica: Journal of the econometric society, 1251-1271.
  • Hsu, Y.C. (2014). “Efficiency in Government Health Spending: A Super Slacks-Based Model”, Quality ve Quantity, 48(1), 111-126.
  • Kang, J., Peng, R., Feng, J., Wei, J., Li, Z., Huang, F., Yu, F., Su, X., Chen, Y., Qin, X. ve Feng, Q. (2023). “Health Systems Efficiency in China and ASEAN, 2015–2020: a DEA-Tobit and SFA Analysis Application”, BMJ Open, 13(9), e075030.
  • Kıdak, Ş.M., Arapoğlu, R.A. ve Demirtaş, E. A. (2023). “Efficiency Analysis of OECD Countries During COVID-19 Pandemic Using Multi-Stage DEA”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 29(5), 426-439.
  • Konca, M. ve Top, M. (2023). “What Predicts the Technical Efficiency in Healthcare Systems of OECD Countries? A Two-Stage DEA Approach”, International Journal of Healthcare Management, 16(1), 104-119.
  • Kozuń-Cieślak, G. (2020). “Is the Efficiency of the Healthcare System Linked to the Country's Economic Performance? Beveridgeans versus Bismarckians”, Acta Oeconomica, 70(1), 1-17.
  • Kozuń-Cieślak, G. ve Zdrazil, P. (2021). “Efficiency of Healthcare Systems in the European Union States: Who Performs Better: Bismarckians or Beveridgeans?”, European Research Studies Journal, 24(4), 397-411.
  • Kuzior, A. Kashcha, M., Kuzmenko, O., Lyeonov, S. ve Brożek, P. (2022). “Public Health System Economic Efficiency and COVID-19 Resilience: Frontier DEA Analysis”, International Journal of Environmental Research and Public Health, 19(22), 14727.
  • Liu, W., Xia, Y. ve Hou, J. (2019). “Health Expenditure Efficiency in Rural China Using the Super-SBM Model and the Malmquist Productivity İndex”, International journal for equity in health, 18, 1-13.
  • Lu, C.C., Chiu, Y.H., Yang, C.Y. ve Lin, T.Y. (2021). “Evaluating the Energy, Health Efficiency, and Productivity in OECD”, Environmental Geochemistry and Health, 43, 4347-4365.
  • Lupu, D. ve Tiganasu, R. (2022). “COVID-19 and the Efficiency of Health Systems in Europe”, Health Economics Review, 12(1), 1-15.
  • Malmquist, S. (1953). “Index Numbers and İndifference Surfaces”, Trabajos de Estadística, 4(2), 209-242. Manavgat, G. ve Audibert, M. (2024). “Healthcare System Efficiency and Drivers: Re-Evaluation of OECD Countries for COVID-19”, SSM-Health Systems, 2, 100003.
  • Maniadakis, N. ve Thanassoulis, E. (2004). “A cost Malmquist productivity index”, European Journal of Operational Research, 154(2), 396-409.
  • Martín-Gamboa, M. ve Iribarren, D. (2021). “Coupled life Cycle Thinking and Data Envelopment Analysis for Quantitative Sustainability İmprovement” https://www.sciencedirect.com/topics/earth-and-planetary- sciences/data-envelopment-analysis, (Erişim tarihi: 08.03.2024).
  • Mogha, S.K., Yadav, S.P. ve Singh, S.P. (2014). “New Slack Model Based Efficiency Assessment of Public Sector Hospitals of Uttarakhand: State of India”, International Journal of System Assurance Engineering and Management, 5, 32-42.
  • OECD (2024). “Health data”. https://data.oecd.org/health.htm, (Erişim tarihi: 08.02.2024).
  • OECD, (2017). https://www.oecd.org/health/Latvia-health-promoting-better-access.pdf, (Erişim tarihi: 15.04.2024).
  • Ozcan, Y. (2014). “Health Care Benchmarking and Performance Evaluation: An Assessment Using Data Envelopment Analysis (DEA)”, Second Edition, Springer, USA.
  • Ozcan, Y.A. ve Khushalani, J. (2017). “Assessing Efficiency of Public Health and Medical Care Provision in OECD Countries After a Decade of Reform”, Central European Journal of Operations Research, 25(2), 325-343.
  • Samut, P.K. (2023). “Efficiency Determinants in Healthcare: A Systematic Review With an Integrated Canonical Correlation Analysis–Data Envelopment Analysis/Assurance Region Model”, Journal of Healthcare Management, 68(5), 356-375.
  • Selamzade, F. ve Yeşilyurt, Ö. (2023). “Afrika Ülkeleri Sağlık Sistemlerinin Etkinlik Durumlarının Veri Zarflama ve Tobit Analizleriyle Değerlendirilmesi”, Anemon Muş Alparslan Üniversitesi Sosyal Bilimler Dergisi, 11(Afrika), 204-224.
  • Şengün, İ. ve Yiğit, V. (2021). “Asya Ülkeleri Sağlık Sistemi Verimliliğinin Parametrik Olmayan Yöntemler İle Analizi”, Süleyman Demirel Üniversitesi Vizyoner Dergisi, 12(29), 299-316.
  • Telli, R. ve Serin, Z.V. (2022). “Gelişmekte Olan Ülkelerde Sağlık Harcamaları Etkinliğinin Malmquist İndeksi İle Belirlenmesi”, Verimlilik Dergisi, 4, 723-740.
  • Tone, K. (2001). “A Slacks-Based Measure of Efficiency in Data Envelopment Analysis”, European Journal of Operational Research, 130(3), 498-509.
  • Tone, K. (2004). “Malmquist Productivity Index”. In: Handbook on Data Envelopment Analysis, Editors: William W. Cooper, Lawrence M. Seiford, Joe Zhu, Kluwer Publishings, 203-227.”
  • Vankar, P. (2024). https://www.statista.com/statistics/1376359/health-and-health-system-ranking-of-countries-worldwide/ (Erişim tarihi: 11.04.2024).
  • Vishniakov, D., Kasiev, N. ve Abdrasulova, F. (2023). “Healthcare System Efficiency and its Drivers in Pre-And COVID-19 Pandemic Settings”, Business, Management and Economics Engineering, 21(2), 293-310.
  • Walheer, B. (2022). “Global Malmquist and Cost Malmquist Indexes for Group Comparison”, Journal of Productivity Analysis, 58(1), 75-93.
  • Wooldridge, J.M. (2010). Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge. Worldometers (2024) https://www.worldometers.info/coronavirus/ (Erişim tarihi: 17.04.2024).
  • Yetim, B., Sönmez, S., Konca, M. ve İlgün, G. (2023). “Benchmarking Countries' Technical Efficiency Using AHP-Based Weighted Slack-Based Measurement (W-SBM): A Cross-National Perspective”, Health Policy and Technology, 12(3), 100782.
  • Zhang, G., Ye, Y. ve Sun, M. (2023). “Assessing the Static and Dynamic Efficiency of Digital Economy in China: Three Stage DEA–Malmquist Index Based Approach”, Sustainability, 15(6), 5270.
  • Zhou, L., Ampon-Wireko, S., Dauda, L., Xu, X., Antwi, M. O. ve Larnyo, E. (2020). “Empirical Analysis of Factors Influencing Healthcare Efficiency Among Emerging Countries”, Healthcare 9(1), 1-16.
Toplam 54 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Sağlık Ekonomisi
Bölüm Araştırma Makalesi
Yazarlar

Murat Konca 0000-0002-6830-8090

Yayımlanma Tarihi 31 Ekim 2024
Gönderilme Tarihi 11 Mart 2024
Kabul Tarihi 23 Temmuz 2024
Yayımlandığı Sayı Yıl 2024

Kaynak Göster

APA Konca, M. (2024). Aylak Tabanlı Model ve Malmquist Toplam Faktör Verimliliği Yaklaşımları ile SARS-CoV-2 (COVID-19) Pandemisinde Sağlık Sistemlerinde Etkinlik Değişiminin İncelenmesi. Verimlilik Dergisi, 58(4), 479-500. https://doi.org/10.51551/verimlilik.1450917

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