Araştırma Makalesi

G20 ülkeleri içinde 18 ülkenin okyanus ve deniz sağlığı performanslarının analizi: CEBM tabanlı TOPSIS yöntemi ile bir uygulama

Cilt: 41 Sayı: 3 15 Eylül 2024
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Analysis of the ocean and marine health performances of 18 countries in the G20 countries: An application using the CEBM-based TOPSIS method

Abstract

This study investigates the critical role of G20 nations in maintaining ocean health, given the significant influence their economic activities have on global maritime ecosystems. Employing the most recent Ocean Health Index (OHI) data (2023) and the CEBM-TOPSIS Multi-Criteria Decision Making (MCDM) method, the research assesses the ocean health performance of 18 countries G20 countries. The CEBM analysis identifies biodiversity, carbon sequestration capacity, fisheries sustainability, water quality, and coastal protection as the most important OHI criteria, respectively. According to the CEBM-TOPSIS method, Russia, Brazil, and France are the top three countries with the highest ocean health performance, while China, India, and South Africa are ranked lowest among the first three countries. Notably, the average performance score indicates that Russia, Brazil, France, the United Kingdom, Australia, Mexico, South Korea, the United States, Germany, Saudi Arabia, and Canada all exceed the average. This suggests a need for improvement among G20 countries with below-average performance to ensure a more substantial contribution to the global economy and interconnected dimensions. Finally, sensitivity, comparison, and simulation analysis validate the CEBM-TOPSIS MCDM method as a reliable tool for evaluating national ocean health performance.

Keywords

Etik Beyan

No specific ethical approval was necessary for the study.

Kaynakça

  1. Aktaş, R., Doğanay, M.M., Türen, U., Gazibey, Y., & Gökmen, Y. (2015). Numerical decision making methods. İstanbul, Beta Publishing (in Turkish).
  2. Altıntaş, F. F. (2023). A novel approach to measuring criterion weights in multiple criteria: Cubic effect-based measurement (CEBM). Journal of Quantitative Sciences, 5(2), 151 195. https://doi.org//10.51541/nicel.1349382
  3. Arias, A.H., & Marcovecchio, J.E. (2018). Ocean/marine pollution and Climate Change. Florida, CRC Press.
  4. Asadabadi, M.R., Ahmadi, H.B., Gupta, H., & Liou, J.J. (2023). Supplier selection to support environmental sustainability: The stratified BWM-TOPSIS method. Annals of Operations Research, 322, 321–344. https://doi.org/10.1007/s10479-022-04878-y
  5. Atan, M., & Altan, Ş. (2020). Multi-criteria decision making methods with example applications. Ankara, Gazi Publishing (in Turkish). Ayçin, E. (2019). Multi-criteria decision making. Ankara, Nobel Publishing (in Turkish)
  6. Badi, I., Abdulshahed, A., & Alghazel, E. (2023). Using Grey-TOPSIS approach for solar farm location selection in Libya. Reports in Mechanical Engineering, 4(1), 80-89. https://doi.org/10.31181/rme040129062023b
  7. Chen, J., Wang, Y., Song, M., & Zhao, R. (2017). Analyzing the decoupling relationship between marine economic growth and marine pollution in China. Ocean Engineering, 137, 1 12. https://doi.org/10.1016/j.oceaneng.2017.03.038
  8. Cusine, D.J., & Grant, J.P. (2019). The Impact of ocean/marine pollution. Oxfordshire, Routledge.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Okyanus Mühendisliği

Bölüm

Araştırma Makalesi

Erken Görünüm Tarihi

2 Eylül 2024

Yayımlanma Tarihi

15 Eylül 2024

Gönderilme Tarihi

15 Şubat 2024

Kabul Tarihi

4 Haziran 2024

Yayımlandığı Sayı

Yıl 1970 Cilt: 41 Sayı: 3

Kaynak Göster

APA
Altıntaş, F. F. (2024). Analysis of the ocean and marine health performances of 18 countries in the G20 countries: An application using the CEBM-based TOPSIS method. Ege Journal of Fisheries and Aquatic Sciences, 41(3), 166-178. https://doi.org/10.12714/egejfas.41.3.01

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