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

Year 2024, Volume: 41 Issue: 3, 166 - 178, 15.09.2024

Furkan Fahri Altıntaş

https://doi.org/10.12714/egejfas.41.3.01

Abstract

Bu çalışma, ekonomik faaliyetlerinin küresel deniz ekosistemleri üzerindeki önemli etkisini göz önünde bulundurarak, G20 ülkelerinin okyanus sağlığını korumadaki kritik rolünü araştırmaktadır. En yeni Okyanus Sağlık Endeksi (OHI) verilerini (2023) ve CEBM-TOPSIS Çok Kriterli Karar Verme (MCDM) yöntemini kullanan bu çalışma, 18 tane G20 ülkesinin okyanus sağlığı performansını değerlendirmektedir. Yapılan CEBM analizi sonucunda en önemli OHI kriterleri sırasıyla; biyoçeşitlilik, karbon tutma kapasitesi, balıkçılık sürdürülebilirliği, su kalitesi ve kıyı korumayı belirlemektedir. CEBM-TOPSIS analiz sonucuna göre, okyanus sağlığı performansı en yüksek olan ülkeler sırasıyla Rusya, Brezilya ve Fransa, en düşük ülkeler ise Çin, Hindistan ve Güney Afrika'nın ise en düşük ilk üç sırada yer aldığını ortaya koymaktadır. Ayrıca, Rusya, Brezilya, Fransa, Birleşik Krallık, Avustralya, Meksika, Güney Kore, ABD, Almanya, Suudi Arabistan ve Kanada'nın ortalama puanlarının ortalama değerleri aştığı belirlenmiştir. Bu sonuç, küresel ekonomiye ve birbiriyle bağlantılı paydaşlara (Boyut yerine başka geniş bir ifade kullanılabilir) daha etkin katkılar sağlamak için ortalama altında performans gösteren G20 ülkelerinin deniz sağlığı performanslarının iyileştirilmesinin gerektiğini gözler önüne sermektedir. Buna benzer şekilde düzenlenebilir. Son olarak, bu çalışma kapsamında yapılan duyarlılık, karşılaştırma ve simülasyon sonuçları, CEBM-TOPSIS MCDM yönteminin ülkelerin veya ülke bazında okyanus/deniz sağlığı için güvenilir bir araç olarak doğrulamaktadır.

Keywords

CEBM CEBM tabanlı TOPSIS G20 büyük ekonomiler okyanus/deniz sağlığı performansı okyanus/deniz kirlenmesi

References

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  • 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
  • Arias, A.H., & Marcovecchio, J.E. (2018). Ocean/marine pollution and Climate Change. Florida, CRC Press.
  • 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
  • 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)
  • 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
  • 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
  • Cusine, D.J., & Grant, J.P. (2019). The Impact of ocean/marine pollution. Oxfordshire, Routledge.
  • Çakır, S., & Perçin, S. (2013). Performance measurement in logistics companies with multi-criteria decision making techniques. Ege Academic Review, 13(4), 449-459 (in Turkish with English abstract).
  • Das, K., & Kumar, R. (2023). Assessment of electric two-wheeler ecosystem using novel pareto optimality and TOPSIS methods for an ideal design solution. World Electric Vehicle Journal, 14(215), 1-15. https://doi.org/10.3390/wevj14080215
  • Dharmawan, D. (2024). Application of TOPSIS Method to design a decision support system in assessing teachers performance. Jurnal Informasi dan Teknologi, 6(1), 64-69. https://doi.org/10.60083/jidt.v6i1.474
  • Diez, S.M., Patil, P., Morton, J., Rodriguez, D.J., Vanzella, A., Robin, D., Corbin, C. (2019). Ocean/marine pollution in the Caribbean: Not a minute to waste. Washington, World Bank Group.
  • Frid, C.L.J., & Caswell, B.A. (2017). Marine pollution. Oxford, University Press.
  • Gigovič, L., Pamučar, D., Bajič, Z., & Milicevič, M. (2016). The combination of expert judgment and GIS-MAIRCA analysis for the selection of sites for ammunition depots. Sustainability, 8(232), 1 30. https://doi.org/10.3390/su8040372
  • Gilmour, M. E., Lewis, P. J., Paige, T., & Lavers, J. L. (2021). Persistent organic pollutant (POPs) concentrations from great-winged. Marine Pollution Bulletin(166), 1-7.
  • Halpern, B.S., Longo, C., Hardy, D., McLeod. K.L., Samhouri, J.F., Katona, S.K., Kleisner, K., Lester, S.E., O’Leary, J., Ranelletti, M., Rosenberg, A.A., Courtney, S., Selig, E.R., Best, B.D., Brumbaugh, D.R., Chapin, F.S., Crowder, L.B., Daly, K.L., Doney, S.C., … , & Zeller, D. (2012). An index to assess the health and benefits of the global ocean. Nature, 488, 615-621. https:/doi.org/10.1038/nature11397
  • Hardy, M. (1971). International control of ocean/marine pollution. Natural Resources Journal, 11(2), 296-348.
  • Hwang, C.L., & Yoon, K. (1981). Multiple attribute decision making: Methods and applications. New York, Springer-Verlag.
  • Karim, S. (2015). Prevention of pollution of the marine environment from vessels. Switzerland, Springer Cham.
  • Kaya, İ., & Karaşan, A. (2020). Multi-Criteria Decision Making. İstanbul, Umuttepe Publishing (in Turkish).
  • Kaymaz, Ç. K., Kızılkan, Y., & Birinci, S. (2020). Analysis of Tourism Centers in Ordu Province Using Multi-Criteria Decision Making Methods. İstanbul, Kriter Publishing (in Turkish).
  • Kennish, M.J. (1997). The impact of ocean/marine pollution on shipping operation and marine environment. Florida, CRC Press.
  • Keshavarz-Ghorabaee, M., Amiri, M., Zavadskas, E.K., Turskis, Z., & Antucheviciene, J. (2021). Determination of objective weights using a new method based on the removal effects of criteria (MEREC). Symmetry, 13, 1-20. https://doi.org/10.3390/sym13040525
  • Kojima, M., Johannes, H.P., Edita, E.P., Iwasaki, F., Kraemer, R.A., & Halimatussadiah, A. (2022). Towards an international agreement on plastic pollution: The role of the G20. Jakarta: ERIA.
  • Kolsara, R. (2024). Application of TOPSIS method for project proposal selection. R. A. Aliev (Ed.), Intelligent System for Industrial Automation (pp. 347-351). Switzerland: Springer, Cham.
  • Korucuk, S., Aytekin, A., Ecer, F., Karamaşa, Ç., & Zavadskas, E. K. (2022). Assessing green approaches and digital marketing strategies for twin transition via fermatean fuzzy SWARA-COPRAS. Axioms, 11(12), 709.
  • Korucuk, S., Tirkolaee, E.B., Aytekin, A., Karabasevic, D., & Karamaşa, Ç. (2023). Agile supply chain management based on critical success factors and most ideal risk reduction strategy in the era of industry 4.0: application to plastic industry. Operations Management Research, 16(4), 1698-1719.
  • Krushelnytska, O. (2018). Solving ocean/marine pollution: Successful models to reduce wastewater, agricultural runoff, and marine litter. Washington: World Bank Group-Pollutionmanagement Environmental Health-Global Partnership for Oceans.
  • Li, C. (2024). Relationship between economic growth and marine ecological environment based on VAR models. Journal of Sea Research, 197, 1-10. https://doi.org/10.1016/j.seares.2023.102462 Lloyd-Smith, M., & Immig, J. (2018). Ocean pollutants guide: Toxic threats to human health and marine life. Ottowa, IPEN.
  • Ministry of Foreign Affairs of Japan (2017). G20 Action plan on marine litter. https://www.mofa.go.jp/mofaj/files/000272290.pdf (Retrieved on: 26.01.2024)
  • Mitra, A., Mukhopadhyay, N., & Agarwal, S. (2021). Blue economy: A road map for the future planet. Kolkata, New Millennium Graphics.
  • Niceforo, M. (2019). The terminology of ocean/marine pollution by plastics and microplastics. Cambridge, Cambridge Scholars Publishing.
  • OECD (2019). Improving resource efficiency to combat marine plastic litter. Paris, OECD Publishing. https://www.oecd.org/g20/summits/osaka/OECD-G20-Paper-Resource-Efficiency-and-Marine-Plastics.pdf
  • Ocean Health Index (2023). Ocean Health Index Goals. https://oceanhealthindex.org/goals
  • Özarı, Ç., & Eren, Ö. (2019). Applied statistics and multi-criteria decision making methods in social sciences. İstanbul, Aydın University Publishing (in Turkish).
  • Öztel, A., & Alp, İ. (2020). A new approach to multi-criteria decision making method selection. İstanbul, Kriter Publishing (in Turkish).
  • Paksoy, S. (2017). Contemporary approaches in multi-criteria decision making. Adana, Karahan Publishing (in Turkish).
  • Pei, D.-S., & Junaid, M. (2019). Ocean/marine pollution: Current Status, Impacts, and Remedies (Marine Ecology: Current and Future Developments). Sharjah, Bentham Science Publishers.
  • Potters, G. (2013). Ocean/marine pollution. London: bookboon.com.
  • Proelß, A. (2017). United Nations Convention on the Law of the Sea. München, Verlag C.H. BECK oHG.
  • Rintaka, W.E., Kurniawan, F., Radiarta, I.N., Nurjaya, I.W., & Dietriech, G.B. (2023). A review of ocean health index research: Towards the development of its dynamic model in Indonesia. International Seminar on Fish and Fisheries Sciences (pp. 1-10). Denpasar-Bali: E3S Web of Conferences.
  • Singh, V., Kumar, V., & Singh, V.B. (2023). A hybrid novel fuzzy AHP-TOPSIS technique for selecting parameter-influencing testing in software development. Decision Analytics Journal, 6, 1-15. https://doi.org/10.1016/j.dajour.2022.100159
  • Tanveer, U., Kremantzis, M.D., Roussinos, N., Ishaq, S., Kyrgiakos, L.S., & Vlontzos, G. (2023). A fuzzy TOPSIS model for selecting digital technologies in circular supply chains. Supply Chain Analytics, 4, 1-16. https://doi.org/10.1016/j.sca.2023.100038
  • Tornero, V., & Hanke, G. (2016). Chemical contaminants entering the marine environment from sea-based sources: A review with a focus on European seas. Ocean/marine pollution Bulletin, 112, 17-38. https://doi.org/10.1016/j.marpolbul.2016.06.091
  • Ullah, I., Nuta, F.M., Levente, D., Yiyu, B., Yihan, Z., Yi, C., Shah, M.H., Kumar, R. (2023). Nexus between trade. industrialization. and ocean/marine pollution: A quantile regression approach. Ecological Indicators, 155, 1-11. https:/doi.org/10.1016/j.ecolind.2023.110992
  • Öztaş, T., & Öztaş, G.Z. (2024). Innovation performance analysis of G20 countries: A novel integrated LOPCOW-MAIRCA MCDM approach including the COVID-19 period. Journal of Productivity, Special Issue, 1-20. https://doi.org/10.51551/verimlilik.1320794
  • Sachs, J.D., Lafortune, G., Fuller, G., Drumm, E. (2023). Implementing the SDG Stimulus. Sustainable Development Report 2023. Dublin: Dublin University Press, 2023. https://doi.org/10.25546/102924
  • Walters, S.J. (2009). Quality of life outcomes in clinical trials and health-care evaluation: A practical guide to analysis and interpretation. New York, Wiley.
  • World Ocean Initiative (2024). Blue Vision? Progress by the G20 on marine plastic pollution. https://ocean.economist.com
  • Yao, W., Zhang, W., & Li, W. (2023). Promoting the development of marine low carbon through the digital economy. Journal of Innovation & Knowledge, 8, 1-14. https://doi.org/10.1016/j.jik.2022.100285
  • Yavari, H., Qajar, J., Aadnoy, B.S., & Khosravanian, R. (2023). Selection of optimal well trajectory using multi-objective genetic algorithm and TOPSIS method. Arabian Journal for Science and Engineering, 48, 16831–16855. https://doi.org/10.1007/s13369-023-08149-1
  • Zhang, H., & Chen, S. (2022). Overview of research on marine resources and economic development. Marine Economics and Management, 5(1), 69-83. https://doi.org/10.1108/maem-11-2021-0012
  • Zhao, C., Chen, J., Yang, X., & Yuan, J. (2023). Social and economic impact assessment of coal power phase-down at the provincial level: An entropy-based TOPSIS approach. Sustainability, 15, 1 13. https://doi.org/10.3390/su152316175
  • Zhu, Y., Chen, C., Zhang, G., Lin, Z., Meshram, S.G., & Alvandi, E. (2023). Investigation of West Lake ecotourism capabilities using SWOT and TOPSIS decision-making methods. Sustainability 2023, 15, 1-21. https://doi.org/10.3390/su15032464

Analysis of the ocean and marine health performances of 18 countries in the G20 countries: An application using the CEBM-based TOPSIS method

Year 2024, Volume: 41 Issue: 3, 166 - 178, 15.09.2024

Furkan Fahri Altıntaş

https://doi.org/10.12714/egejfas.41.3.01

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

CEBM CEBM based TOPSIS G20 large economies ocean/marine health performance ocean/marine pollution

Ethical Statement

No specific ethical approval was necessary for the study.

References

  • Aktaş, R., Doğanay, M.M., Türen, U., Gazibey, Y., & Gökmen, Y. (2015). Numerical decision making methods. İstanbul, Beta Publishing (in Turkish).
  • 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
  • Arias, A.H., & Marcovecchio, J.E. (2018). Ocean/marine pollution and Climate Change. Florida, CRC Press.
  • 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
  • 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)
  • 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
  • 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
  • Cusine, D.J., & Grant, J.P. (2019). The Impact of ocean/marine pollution. Oxfordshire, Routledge.
  • Çakır, S., & Perçin, S. (2013). Performance measurement in logistics companies with multi-criteria decision making techniques. Ege Academic Review, 13(4), 449-459 (in Turkish with English abstract).
  • Das, K., & Kumar, R. (2023). Assessment of electric two-wheeler ecosystem using novel pareto optimality and TOPSIS methods for an ideal design solution. World Electric Vehicle Journal, 14(215), 1-15. https://doi.org/10.3390/wevj14080215
  • Dharmawan, D. (2024). Application of TOPSIS Method to design a decision support system in assessing teachers performance. Jurnal Informasi dan Teknologi, 6(1), 64-69. https://doi.org/10.60083/jidt.v6i1.474
  • Diez, S.M., Patil, P., Morton, J., Rodriguez, D.J., Vanzella, A., Robin, D., Corbin, C. (2019). Ocean/marine pollution in the Caribbean: Not a minute to waste. Washington, World Bank Group.
  • Frid, C.L.J., & Caswell, B.A. (2017). Marine pollution. Oxford, University Press.
  • Gigovič, L., Pamučar, D., Bajič, Z., & Milicevič, M. (2016). The combination of expert judgment and GIS-MAIRCA analysis for the selection of sites for ammunition depots. Sustainability, 8(232), 1 30. https://doi.org/10.3390/su8040372
  • Gilmour, M. E., Lewis, P. J., Paige, T., & Lavers, J. L. (2021). Persistent organic pollutant (POPs) concentrations from great-winged. Marine Pollution Bulletin(166), 1-7.
  • Halpern, B.S., Longo, C., Hardy, D., McLeod. K.L., Samhouri, J.F., Katona, S.K., Kleisner, K., Lester, S.E., O’Leary, J., Ranelletti, M., Rosenberg, A.A., Courtney, S., Selig, E.R., Best, B.D., Brumbaugh, D.R., Chapin, F.S., Crowder, L.B., Daly, K.L., Doney, S.C., … , & Zeller, D. (2012). An index to assess the health and benefits of the global ocean. Nature, 488, 615-621. https:/doi.org/10.1038/nature11397
  • Hardy, M. (1971). International control of ocean/marine pollution. Natural Resources Journal, 11(2), 296-348.
  • Hwang, C.L., & Yoon, K. (1981). Multiple attribute decision making: Methods and applications. New York, Springer-Verlag.
  • Karim, S. (2015). Prevention of pollution of the marine environment from vessels. Switzerland, Springer Cham.
  • Kaya, İ., & Karaşan, A. (2020). Multi-Criteria Decision Making. İstanbul, Umuttepe Publishing (in Turkish).
  • Kaymaz, Ç. K., Kızılkan, Y., & Birinci, S. (2020). Analysis of Tourism Centers in Ordu Province Using Multi-Criteria Decision Making Methods. İstanbul, Kriter Publishing (in Turkish).
  • Kennish, M.J. (1997). The impact of ocean/marine pollution on shipping operation and marine environment. Florida, CRC Press.
  • Keshavarz-Ghorabaee, M., Amiri, M., Zavadskas, E.K., Turskis, Z., & Antucheviciene, J. (2021). Determination of objective weights using a new method based on the removal effects of criteria (MEREC). Symmetry, 13, 1-20. https://doi.org/10.3390/sym13040525
  • Kojima, M., Johannes, H.P., Edita, E.P., Iwasaki, F., Kraemer, R.A., & Halimatussadiah, A. (2022). Towards an international agreement on plastic pollution: The role of the G20. Jakarta: ERIA.
  • Kolsara, R. (2024). Application of TOPSIS method for project proposal selection. R. A. Aliev (Ed.), Intelligent System for Industrial Automation (pp. 347-351). Switzerland: Springer, Cham.
  • Korucuk, S., Aytekin, A., Ecer, F., Karamaşa, Ç., & Zavadskas, E. K. (2022). Assessing green approaches and digital marketing strategies for twin transition via fermatean fuzzy SWARA-COPRAS. Axioms, 11(12), 709.
  • Korucuk, S., Tirkolaee, E.B., Aytekin, A., Karabasevic, D., & Karamaşa, Ç. (2023). Agile supply chain management based on critical success factors and most ideal risk reduction strategy in the era of industry 4.0: application to plastic industry. Operations Management Research, 16(4), 1698-1719.
  • Krushelnytska, O. (2018). Solving ocean/marine pollution: Successful models to reduce wastewater, agricultural runoff, and marine litter. Washington: World Bank Group-Pollutionmanagement Environmental Health-Global Partnership for Oceans.
  • Li, C. (2024). Relationship between economic growth and marine ecological environment based on VAR models. Journal of Sea Research, 197, 1-10. https://doi.org/10.1016/j.seares.2023.102462 Lloyd-Smith, M., & Immig, J. (2018). Ocean pollutants guide: Toxic threats to human health and marine life. Ottowa, IPEN.
  • Ministry of Foreign Affairs of Japan (2017). G20 Action plan on marine litter. https://www.mofa.go.jp/mofaj/files/000272290.pdf (Retrieved on: 26.01.2024)
  • Mitra, A., Mukhopadhyay, N., & Agarwal, S. (2021). Blue economy: A road map for the future planet. Kolkata, New Millennium Graphics.
  • Niceforo, M. (2019). The terminology of ocean/marine pollution by plastics and microplastics. Cambridge, Cambridge Scholars Publishing.
  • OECD (2019). Improving resource efficiency to combat marine plastic litter. Paris, OECD Publishing. https://www.oecd.org/g20/summits/osaka/OECD-G20-Paper-Resource-Efficiency-and-Marine-Plastics.pdf
  • Ocean Health Index (2023). Ocean Health Index Goals. https://oceanhealthindex.org/goals
  • Özarı, Ç., & Eren, Ö. (2019). Applied statistics and multi-criteria decision making methods in social sciences. İstanbul, Aydın University Publishing (in Turkish).
  • Öztel, A., & Alp, İ. (2020). A new approach to multi-criteria decision making method selection. İstanbul, Kriter Publishing (in Turkish).
  • Paksoy, S. (2017). Contemporary approaches in multi-criteria decision making. Adana, Karahan Publishing (in Turkish).
  • Pei, D.-S., & Junaid, M. (2019). Ocean/marine pollution: Current Status, Impacts, and Remedies (Marine Ecology: Current and Future Developments). Sharjah, Bentham Science Publishers.
  • Potters, G. (2013). Ocean/marine pollution. London: bookboon.com.
  • Proelß, A. (2017). United Nations Convention on the Law of the Sea. München, Verlag C.H. BECK oHG.
  • Rintaka, W.E., Kurniawan, F., Radiarta, I.N., Nurjaya, I.W., & Dietriech, G.B. (2023). A review of ocean health index research: Towards the development of its dynamic model in Indonesia. International Seminar on Fish and Fisheries Sciences (pp. 1-10). Denpasar-Bali: E3S Web of Conferences.
  • Singh, V., Kumar, V., & Singh, V.B. (2023). A hybrid novel fuzzy AHP-TOPSIS technique for selecting parameter-influencing testing in software development. Decision Analytics Journal, 6, 1-15. https://doi.org/10.1016/j.dajour.2022.100159
  • Tanveer, U., Kremantzis, M.D., Roussinos, N., Ishaq, S., Kyrgiakos, L.S., & Vlontzos, G. (2023). A fuzzy TOPSIS model for selecting digital technologies in circular supply chains. Supply Chain Analytics, 4, 1-16. https://doi.org/10.1016/j.sca.2023.100038
  • Tornero, V., & Hanke, G. (2016). Chemical contaminants entering the marine environment from sea-based sources: A review with a focus on European seas. Ocean/marine pollution Bulletin, 112, 17-38. https://doi.org/10.1016/j.marpolbul.2016.06.091
  • Ullah, I., Nuta, F.M., Levente, D., Yiyu, B., Yihan, Z., Yi, C., Shah, M.H., Kumar, R. (2023). Nexus between trade. industrialization. and ocean/marine pollution: A quantile regression approach. Ecological Indicators, 155, 1-11. https:/doi.org/10.1016/j.ecolind.2023.110992
  • Öztaş, T., & Öztaş, G.Z. (2024). Innovation performance analysis of G20 countries: A novel integrated LOPCOW-MAIRCA MCDM approach including the COVID-19 period. Journal of Productivity, Special Issue, 1-20. https://doi.org/10.51551/verimlilik.1320794
  • Sachs, J.D., Lafortune, G., Fuller, G., Drumm, E. (2023). Implementing the SDG Stimulus. Sustainable Development Report 2023. Dublin: Dublin University Press, 2023. https://doi.org/10.25546/102924
  • Walters, S.J. (2009). Quality of life outcomes in clinical trials and health-care evaluation: A practical guide to analysis and interpretation. New York, Wiley.
  • World Ocean Initiative (2024). Blue Vision? Progress by the G20 on marine plastic pollution. https://ocean.economist.com
  • Yao, W., Zhang, W., & Li, W. (2023). Promoting the development of marine low carbon through the digital economy. Journal of Innovation & Knowledge, 8, 1-14. https://doi.org/10.1016/j.jik.2022.100285
  • Yavari, H., Qajar, J., Aadnoy, B.S., & Khosravanian, R. (2023). Selection of optimal well trajectory using multi-objective genetic algorithm and TOPSIS method. Arabian Journal for Science and Engineering, 48, 16831–16855. https://doi.org/10.1007/s13369-023-08149-1
  • Zhang, H., & Chen, S. (2022). Overview of research on marine resources and economic development. Marine Economics and Management, 5(1), 69-83. https://doi.org/10.1108/maem-11-2021-0012
  • Zhao, C., Chen, J., Yang, X., & Yuan, J. (2023). Social and economic impact assessment of coal power phase-down at the provincial level: An entropy-based TOPSIS approach. Sustainability, 15, 1 13. https://doi.org/10.3390/su152316175
  • Zhu, Y., Chen, C., Zhang, G., Lin, Z., Meshram, S.G., & Alvandi, E. (2023). Investigation of West Lake ecotourism capabilities using SWOT and TOPSIS decision-making methods. Sustainability 2023, 15, 1-21. https://doi.org/10.3390/su15032464
There are 54 citations in total.

Details

Primary Language English
Subjects Ocean Engineering
Journal Section Articles
Authors

Furkan Fahri Altıntaş 0000-0002-0161-5862

Early Pub Date September 2, 2024
Publication Date September 15, 2024
Submission Date February 15, 2024
Acceptance Date June 4, 2024
Published in Issue Year 2024Volume: 41 Issue: 3

Cite

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