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

Yıl 2025, Cilt: 9 Sayı: 1, 138 - 150, 30.06.2025
https://doi.org/10.69851/car.1711576

Öz

ABSTRACT

The coronavirus (COVID-19) after first confirmation in China in 2019, has spread rapidly and caused significant damage all over the world. World countries have struggled with this situation using various policy tools. However, due to the socio-economic and cultural differences some countries had better performance, than the others. In this context, this study evaluates the management efficiencies and performances of countries against pandemic between the periods of February, 20, 2020 and February, 20, 2022 (before spread of vaccination). At the same time, from the data, some clues about the linkage between the performances and the structural characteristics (culture and socio-economic properties) of the countries tried to be find out. For this aim, first efficiency analysis is implemented via Data Envelopment Analysis (DEA) method. Via DEA analyses sources of inefficiency and benchmarks, thereby potentially yield managerial insights into organizational improvements, have been find out. Therefore, the key factors of the efficiency, peer countries for inefficient ones (and the suitable way to be efficient for them) have been also determined. Moreover, in order to observe the links between efficiency scores and structural characteristics of the countries more accurately, a clustering analysis technique (Ward’s Method) has been used. The results mainly imply that; structurally developed (which have higher income and better health infrastructure) and culturally secular / rational countries have been efficient in the struggle against pandemic.

Kaynakça

  • Acar, E., Gökkaya, D., & Şenol, O. (2023). Efficiency analysis of middle-income countries in terms of health indicators for the COVID process. Manas Sosyal Araştırmalar Dergisi, 12, 300-317.
  • Aras, İ.A. (2023). “Gelir Gruplarına Göre COVID-19 Pandemisinde Sağlık Sistem Performansı Etkinliğinin Ölçülmesi”, Dicle Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 13(26), 731-746.
  • Aydin, N., & Yurdakul, G. (2020). Assessing countries’ performances against COVID-19 via WSIDEA and machine learning algorithms. Applied Soft Computing, 97, 106792.
  • Banker, R.D., A. Charnes and W.W. Cooper (1984), “Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis”, Management Science, 30, 1078-1092.
  • Bayram, G., & Yurtsever, Ö. (2021). Efficiency evaluation of European countries in terms of COVID19. International Journal of Advances in Engineering and Pure Sciences, 33(3), 366-375.
  • Charnes, A., W.W. Cooper and E. Rhodes (1978), “Measuring the Efficiency of Decision Making Units”, European Journal of Operational Research, 2, 429-444.
  • Inglehart, R & C. Welzel. 2005. Modernization, Cultural Change and Democracy: The Human Development Sequence. New York: Cambridge University Press
  • Jamison, D. T., Lau, L. J., Wu, K. B., & Xiong, Y. (2020). Country performance against COVID-19: rankings for 35 countries. BMJ global health, 5(12).
  • Kaya, M. and Yenimahalleli Yaşar, G. (2024). “OECD Ülkelerinde COVID-19 Pandemisiyle Mücadele: Kaynak Verimliliği Açısından Bir Karşılaştırma”, Verimlilik Dergisi, 58(4), 501-520.
  • Kaya, S. K. (2020). Evaluation of the Effect of COVID-19 on Countries’ Sustainable Development Level: A comparative MCDM framework. Operational Research in Engineering Sciences: Theory and Applications, 3(3), 101-122.
  • Küçükaycan, D. (2021). “Küresel Kamusal Mal Perspektifinden COVID-19 Pandemisiyle Mücadelede Evrensel Sağlık Kapsayıcılığı ve OECD Ülkelerinin Performansının Araştırılması (Universal
  • Health Coverage Combating COVID-19 Pandemic from Global Public Goods Perspective and Researchıng of OECD Countrıes' Performance)”, Maliye Dergisi, 181, 234-263. Lupu, D., & Tiganasu, R. (2022). COVID-19 and the efficiency of health systems in Europe. Health Economics Review, 12(1), 14.
  • 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. Romesburg, H.C. Cluster Analysis for Researchers. Lulu Press, 2004.
  • Sel. A. (2021). “COVID 19 Pandemisinde Sağlık Sistemi Gelişmelerinin Etkinliğinin Ölçülmesi: G-20 Üzerine Bir İnceleme”, Kırklareli Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 10(2), 181-202.
  • Selamzade, F., Ersoy, Y., Ozdemir, Y., & Celik, M. Y. (2023). Health efficiency measurement of OECD countries against the COVID-19 pandemic by using DEA and MCDM methods. Arabian Journal for Science and Engineering, 48(11), 15695-15712.
  • Shirouyehzad, H., Jouzdani, J., & Khodadadi Karimvand, M. (2020). Fight against COVID-19: a global efficiency evaluation based on contagion control and medical treatment. Journal of applied research on industrial engineering, 7(2), 109-120.
  • Sotoudeh-Anvari, A. (2022). The applications of MCDM methods in COVID-19 pandemic: A state of the art review. Applied Soft Computing, 126, 109-238.
  • Wu, J. S. (2023). Measuring efficiency of the global fight against the COVID-19 pandemic. Digital Health, 9, 20552076231197528.
  • Yüksel, O. (2021). “Comparison of Healthcare System Performances in OECD Countries”, International Journal of Health Services Research and Policy, 6(2), 251-261.

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

Yıl 2025, Cilt: 9 Sayı: 1, 138 - 150, 30.06.2025
https://doi.org/10.69851/car.1711576

Öz

ABSTRACT

The coronavirus (COVID-19) after first confirmation in China in 2019, has spread rapidly and caused significant damage all over the world. World countries have struggled with this situation using various policy tools. However, due to the socio-economic and cultural differences some countries had better performance, than the others. In this context, this study evaluates the management efficiencies and performances of countries against pandemic between the periods of February, 20, 2020 and February, 20, 2022 (before spread of vaccination). At the same time, from the data, some clues about the linkage between the performances and the structural characteristics (culture and socio-economic properties) of the countries tried to be find out. For this aim, first efficiency analysis is implemented via Data Envelopment Analysis (DEA) method. Via DEA analyses sources of inefficiency and benchmarks, thereby potentially yield managerial insights into organizational improvements, have been find out. Therefore, the key factors of the efficiency, peer countries for inefficient ones (and the suitable way to be efficient for them) have been also determined. Moreover, in order to observe the links between efficiency scores and structural characteristics of the countries more accurately, a clustering analysis technique (Ward’s Method) has been used. The results mainly imply that; structurally developed (which have higher income and better health infrastructure) and culturally secular / rational countries have been efficient in the struggle against pandemic.

Kaynakça

  • Acar, E., Gökkaya, D., & Şenol, O. (2023). Efficiency analysis of middle-income countries in terms of health indicators for the COVID process. Manas Sosyal Araştırmalar Dergisi, 12, 300-317.
  • Aras, İ.A. (2023). “Gelir Gruplarına Göre COVID-19 Pandemisinde Sağlık Sistem Performansı Etkinliğinin Ölçülmesi”, Dicle Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 13(26), 731-746.
  • Aydin, N., & Yurdakul, G. (2020). Assessing countries’ performances against COVID-19 via WSIDEA and machine learning algorithms. Applied Soft Computing, 97, 106792.
  • Banker, R.D., A. Charnes and W.W. Cooper (1984), “Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis”, Management Science, 30, 1078-1092.
  • Bayram, G., & Yurtsever, Ö. (2021). Efficiency evaluation of European countries in terms of COVID19. International Journal of Advances in Engineering and Pure Sciences, 33(3), 366-375.
  • Charnes, A., W.W. Cooper and E. Rhodes (1978), “Measuring the Efficiency of Decision Making Units”, European Journal of Operational Research, 2, 429-444.
  • Inglehart, R & C. Welzel. 2005. Modernization, Cultural Change and Democracy: The Human Development Sequence. New York: Cambridge University Press
  • Jamison, D. T., Lau, L. J., Wu, K. B., & Xiong, Y. (2020). Country performance against COVID-19: rankings for 35 countries. BMJ global health, 5(12).
  • Kaya, M. and Yenimahalleli Yaşar, G. (2024). “OECD Ülkelerinde COVID-19 Pandemisiyle Mücadele: Kaynak Verimliliği Açısından Bir Karşılaştırma”, Verimlilik Dergisi, 58(4), 501-520.
  • Kaya, S. K. (2020). Evaluation of the Effect of COVID-19 on Countries’ Sustainable Development Level: A comparative MCDM framework. Operational Research in Engineering Sciences: Theory and Applications, 3(3), 101-122.
  • Küçükaycan, D. (2021). “Küresel Kamusal Mal Perspektifinden COVID-19 Pandemisiyle Mücadelede Evrensel Sağlık Kapsayıcılığı ve OECD Ülkelerinin Performansının Araştırılması (Universal
  • Health Coverage Combating COVID-19 Pandemic from Global Public Goods Perspective and Researchıng of OECD Countrıes' Performance)”, Maliye Dergisi, 181, 234-263. Lupu, D., & Tiganasu, R. (2022). COVID-19 and the efficiency of health systems in Europe. Health Economics Review, 12(1), 14.
  • 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. Romesburg, H.C. Cluster Analysis for Researchers. Lulu Press, 2004.
  • Sel. A. (2021). “COVID 19 Pandemisinde Sağlık Sistemi Gelişmelerinin Etkinliğinin Ölçülmesi: G-20 Üzerine Bir İnceleme”, Kırklareli Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 10(2), 181-202.
  • Selamzade, F., Ersoy, Y., Ozdemir, Y., & Celik, M. Y. (2023). Health efficiency measurement of OECD countries against the COVID-19 pandemic by using DEA and MCDM methods. Arabian Journal for Science and Engineering, 48(11), 15695-15712.
  • Shirouyehzad, H., Jouzdani, J., & Khodadadi Karimvand, M. (2020). Fight against COVID-19: a global efficiency evaluation based on contagion control and medical treatment. Journal of applied research on industrial engineering, 7(2), 109-120.
  • Sotoudeh-Anvari, A. (2022). The applications of MCDM methods in COVID-19 pandemic: A state of the art review. Applied Soft Computing, 126, 109-238.
  • Wu, J. S. (2023). Measuring efficiency of the global fight against the COVID-19 pandemic. Digital Health, 9, 20552076231197528.
  • Yüksel, O. (2021). “Comparison of Healthcare System Performances in OECD Countries”, International Journal of Health Services Research and Policy, 6(2), 251-261.
Toplam 19 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Politika ve Yönetim (Diğer)
Bölüm İşletme
Yazarlar

Yetkin Çınar 0000-0002-4710-0346

Erken Görünüm Tarihi 30 Haziran 2025
Yayımlanma Tarihi 30 Haziran 2025
Gönderilme Tarihi 1 Haziran 2025
Kabul Tarihi 29 Haziran 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 9 Sayı: 1

Kaynak Göster

APA Çınar, Y. (2025). EVALUATING COUNTRIES’ EFFICIENCIES AGAINST COVID-19 CONCERNING THEIR STRUCTURAL AND CULTURAL CHARACTERISTICS. Kapadokya Akademik Bakış, 9(1), 138-150. https://doi.org/10.69851/car.1711576