Determining Efficiency of 15 OECD Countries Coping with Covid-19 using Data Envelopment Analysis after 2 Years of Pandemic

Esra Polat

doi:10.17776/csj.1225208

EN

Determining Efficiency of 15 OECD Countries Coping with Covid-19 using Data Envelopment Analysis after 2 Years of Pandemic

Abstract

Covid-19, emerged in Wuhan, a city of China, at the date of December 2019, it spread to the entire world soon and then by the World Health Organization (WHO) accepted as a pandemic. Today, still the coping with Covid-19 is the one of the significant topics of countries. In this study, the relative efficiencies of 15 OECD countries for coping with the pandemic is analyzed with Data Envelopment Analysis (DEA). Current health expenditure (% of GDP), Nurses and midwives (per 1 thousand people), Hospital beds (per 1 thousand people), Physicians (per 1 thousand people) variables used as inputs; Number of Total Cases (per 1 million people), Number of Deaths (per 1 million people) and Number of Tests (per 1 million people) variables used as outputs. Output oriented Charnes, Cooper and Rhodes (CCR) and Banker, Charnes and Cooper (BCC) DEA models are used, scale efficiency values are determined and potential improvement suggestions are given for inefficient countries. Austria, Mexico, South Korea, Spain and Türkiye are found to be both relative technical, total and scale efficient. It is also concluded that inefficient countries must use their input variables efficiently and number of Covid-19 tests is important for a country’s efficiency against Covid-19.

Keywords

References

[1] Selemzade F., Ozdemir Y., COVID-19`a Karşı OECD Ülkelerinin Etkinliğinin VZA ile Değerlendirilmesi, Turkish Studies, 15(4) (2020) 977-991.
[2] Sel A., Covid 19 Pandemisinde Sağlık Sistemi Gelişmelerinin Etkinliğinin Ölçülmesi: G-20 Üzerine Bir İnceleme, Kırklareli Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 10(2) (2021) 181-202.
[3] Worldometer Website. Avaliable at: https://www.worldometers.info/coronavirus/. Retrieved August 1, 2022.
[4] Shirouyehzad H., Jouzdani J., Khodadadi-Karimvand M., Fight Against COVID-19: A Global Efficiency Evaluation based on Contagion Control and Medical Treatment, J. Appl. Res. Ind. Eng., 7 (2) (2020) 109-120.
[5] Akbulut F., Senol O., Üst Gelir Grubundaki Ülkelerin Covid-19 Mücadelesinin Veri Zarflama Analizi ile Değerlendirilmesi, Gümüşhane Üniversitesi Sosyal Bilimler Dergisi, 13(2) (2022) 679-689.
[6] Bagriacik Ayranci E., Covid-19 ile Mücadelede OECD ve AB Üye Ülkeleri Karşısında Türkiye’nin Etkinliğinin Değerlendirilmesi, Erciyes Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi Araştırma Makalesi, (60) (2021) 215-233.
[7] Bayram G., Yurtsever O., Efficiency Evaluation of European Countries in Terms of COVID-19, Int. J. Adv. Eng. Pure Sci, 33(3) (2021) 366-375.
[8] Erdem A. Y., Evaluation of Covid-19 Pandemıa Management Activities of OECD Countries, Master Dissertation in Turkish, Bayburt University Graduate Education Institute Department of Business, 2021.

[9] Ergulen A., Bolayir B., Unal Z., Harmankaya İ., VZA Yöntemi ile Covid-19 Pandemi Döneminde Bir Değerlendirme: G7 Ülkeleri Etkinlik Analizi, V. International Conference on Covid-19 Studies, Ankara, 2021, 255-261.
[10] Kaman F.B., Yucel A., Covid-19’dan En Çok Etkilenen 9 OECD Ülkesinin Sağlık Çalışanlarının Etkinliğinin İncelenmesi Üzerine Bir Çalışma, Isparta Uygulamalı Sosyal Bilimler ve Güzel Sanatlar Dergisi (SOSGÜZ), 3(5) (2021) 14-25.
[11] Mourad N., Habib A.M., Tharwat A., Appraising Healthcare Systems’ Efficiency in Facing Covid-19 Through Data Envelopment Analysis, Decision Science Letters, 10 (2021) 301–310.
[12] Perchkolaei B.R., HosseinzadehLotfi F., Evaluating the Performance of OECD Countries in the Covid-19 Epidemic by Network Data Envelopment Analysis, International Journal of Data Envelopment Analysis, 9(4) (2021) 31-42.
[13] Cansever İ.H., Senol O., Gelişmiş Ülkelerin Sağlık Sistemleri Verimlilikleri ile Covid-19 Performansları İlişkisi Üzerine bir Araştırma, Anadolu Üniversitesi Sosyal Bilimler Dergisi, 22(2) (2022) 611-628.
[14] Pereira M. A., Dinis D.C., Ferreira D.C., Figueira J.R., Marques R.C., A Network Data Envelopment Analysis to Estimate Nations’ Efficiency in the Fight Against SARS-Cov-2, Expert Systems With Applications, 210 (2022) 1-18.
[15] Yousfat A., Bahaji K., Saws S., Efficiency Evaluation of European Countries Based on Case Fatality Rate of COVID-19 Using Data Envelopment Analysis, International Journal of Business and Social Science Research, 3(12) (2022) 15-22.
[16] Acar E., Gokkaya D., Senol O., Efficiency Analysis of Middle-Income Countries in Terms of Health Indicators for the Covid Process. Manas Sosyal Araştırmalar Dergisi, 12(ÖS) (2023) 300-317.
[17] Kıdak S.M., Arapoglu R.A., Aktar Demirtas E., Efficiency Analysis of OECD Countries During COVID-19 Pandemic Using Multi-stage DEA. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 29(5) (2023) 426-439.
[18] Zhu Q., Zhou X., Liu S., A Multi-stage Super DEA Efficiency Evaluation Model of COVID-19 Pandemic Transmission Performance, The Twenty one Wuhan International Conference on E-Business－Healthcare service and IT management (WHICEB 2022) Proceedings 73. https://aisel.aisnet.org/whiceb2022/73 175-193.
[19] Charnes A., Cooper W.W., Rhodes E., Measuring The Efficiency of Decision Making Units, European journal of operational research, 2(6) (1978) 429-444.
[20] Farrell M.J., The Measurement of Productive Efficiency, Journal of the Royal Statistical Society: Series A (General), 120(3) (1957) 253-290.
[21] Cooper W.W., Seiford L.M., Zhu J., Data Envelopment Analysis: History, Models, And Interpretations. In Handbook On Data Envelopment Analysis (pp. 1-39). Springer, Boston, MA, (2011).
[22] Banker R.D., Charnes A., Cooper W.W., Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis, Management Science, 30(9) (1984) 1078-1092.
[23] Data Envelopment Analysis with deaR Tutorial. Available at: https://www.uv.es/dearshiny/Tutoriales_deaR/Tutorial_deaR_english.pdf. Retrieved August 1, 2022.

Details

Primary Language

English

Subjects

Statistics

Journal Section

Research Article

Authors

Esra Polat ^*
0000-0001-9271-485X
Türkiye

Publication Date

December 28, 2023

Submission Date

December 27, 2022

Acceptance Date

December 3, 2023

Published in Issue

Year 2023 Volume: 44 Number: 4

DOI

https://doi.org/10.17776/csj.1225208

IZ

https://izlik.org/JA98DE24CZ

Cite

RIS / Bibtex

APA

Polat, E. (2023). Determining Efficiency of 15 OECD Countries Coping with Covid-19 using Data Envelopment Analysis after 2 Years of Pandemic. Cumhuriyet Science Journal, 44(4), 816-824. https://doi.org/10.17776/csj.1225208

Determining Efficiency of 15 OECD Countries Coping with Covid-19 using Data Envelopment Analysis after 2 Years of Pandemic

Determining Efficiency of 15 OECD Countries Coping with Covid-19 using Data Envelopment Analysis after 2 Years of Pandemic

Abstract

Keywords

Öz

Anahtar Kelimeler

References

Details

Primary Language

Subjects

Journal Section

Authors

Publication Date

Submission Date

Acceptance Date

Published in Issue

DOI

IZ

Cite

Cited By

OECD Ülkelerinde Pandemiyle Mücadele: Kaynak Verimliliği Açısından Bir Karşılaştırma

EVALUATING COUNTRIES’ EFFICIENCIES AGAINST COVID-19 CONCERNING THEIR STRUCTURAL AND CULTURAL CHARACTERISTICS

The impact of the global financial crisis on efficiency and productivity of insurance companies in China