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
Covid-19, Data envelopment analysis, Efficiency, OECD Countries
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.