Evaluation of Prosperity Levels of OECD Countries With Merec-Topsis And Entropy-Topsis Methods

Authors

DOI:

https://doi.org/10.63556/tisej.2025.1487

Keywords:

Prosperity, Legatum Prosperity Index, TOPSIS Method, MEREC Method, Entropy Method

Abstract

Determining the prosperity levels of countries is an important tool for improving the quality of life of societies and achieving sustainable development goals. Prosperity is shaped not only by economic size but also by social, cultural and environmental factors and is important as a multidimensional concept that determines the general life satisfaction of individuals. In this study, Multi-Criteria Decision Making (MCDM) methods were used to evaluate the prosperity levels of OECD countries. Within the scope of the study, 38 OECD countries were ranked in terms of their prosperity levels and the weights of the criteria were calculated using MEREC (Method based on the Removal Effects of Criteria) and Entropy methods. According to the findings obtained from these two methods, the first three criteria with the highest importance were determined as safety and security, personal freedom and governance, respectively, while the criterion with the lowest importance was health. According to the rankings obtained using MEREC-TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) and Entropy-TOPSIS methods, the three countries with the highest prosperity levels were Denmark, Norway and Sweden, respectively, while the three countries with the lowest prosperity levels were determined as Türkiye, Colombia and Mexico, respectively. As a result of the study, it was determined that the rankings obtained from the analysis were significantly consistent with the ranking obtained from the Legatum Prosperity Index (LPI) Report.

References

Alshamrani, A. M., & Hezam, I. M. (2023). Integrating Rough-Entropy and Rough-TOPSIS methods for evaluating the legatum prosperity pillars of weakest performing countries. Measurement and Control, 56(9-10), 1670-1683. https://doi.org/10.1177/00202940231174427

Arbab, P. (2025). Analyzing prosperous development of Tehran through the city prosperity initiative (CPI) index. Open House International.

Christian, A. V., Zhang, Y., & Salifou, C. K. (2016). Country selection for international expansion: TOPSIS method analysis. Modern Economy, 7(04), 470. https://doi.org/10.4236/me.2016.74052

Delhey, J., & Newton, K. (2005). Predicting cross-national levels of social trust: global pattern or Nordic exceptionalism?. European sociological review, 21(4), 311-327. https://doi.org/10.1093/esr/jci022

Dobrovolskienė, N., & Pozniak, A. (2021). Simple additive weighting versus technique for order preference by similarity to an ideal solution: Which method is better suited for assessing the sustainability of a real estate project. Entrepreneurship and Sustainability Issues, 8(4), 180-196.

Elsayed, A. (2024). Multi-criteria decision-making framework for evaluating green fuels alternatives: A hybrid MEREC-TODIM approach. Neutrosophic Optimization and Intelligent Systems, 3, 41-56. https://doi.org/10.61356/j.nois.2024.3323

Eş, A., & Eren, D. (2021). Mutfak turizmi hedef pazarlarının çok kriterli karar verme yöntemiyle belirlenmesi. Elektronik Sosyal Bilimler Dergisi, 20(78), 1204-1224. https://doi.org/10.17755/esosder.812816

Goswami, S. S., Mohanty, S. K., & Behera, D. K. (2022). Selection of a green renewable energy source in India with the help of MEREC integrated PIV MCDM tool. Materials today: proceedings, 52, 1153-1160. https://doi.org/10.1016/j.matpr.2021.11.019

Huang, J. (2008, September). Combining entropy weight and TOPSIS method for information system selection. In 2008 ieee conference on cybernetics and intelligent systems (pp. 1281-1284). IEEE.

Hwang, C.L., and Yoon, K. (1981). Multiple attribute decision making, methods and applications. lecture notes in economics and mathematical systems, vol.186. Now York: Springer-Verlag.

Kautto, M. (2002). Investing in services in West European welfare states. Journal of European Social Policy, 12(1), 53-65. https://doi.org/10.1177/0952872002012001636

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(4), 525. https://doi.org/10.3390/sym13040525

Lima, D., Matos, I. D. C., & Costa, H. G. (2024, July). A Hybrid Model with K-Means and ELECTRE-III to Analyze Countries Considering Prosperity Indicators. In International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (pp. 87-98). Cham: Springer Nature Switzerland.

Legatum Institute (2023). 2023 Legatum Prosperity Index. https://index.prosperity.com/rankings, Erişim Tarihi: 19.02.2025.

Opricovic, S., & Tzeng, G. H. (2004). Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European journal of operational research, 156(2), 445-455. https://doi.org/10.1016/S0377-2217(03)00020-1

Petrović, N., Živanović, T., & Mihajlović, J. (2023). Evaluating the annual operational efficiency of passenger and freight road transport in Serbia through entropy and TOPSIS methods. J. Eng. Manag. Syst. Eng, 2(4), 204-211. https://doi.org/10.56578/jemse020402

Popović, G., Pucar, Đ., & Smarandache, F. (2022). MEREC-COBRA approach in e-commerce development strategy selection. Journal of Process Management and New Technologies, 10(3-4), 66-74. https://doi.org/10.5937/jpmnt10-41073

Shannon, C. E. (1948). A mathematical theory of communication. The Bell system technical journal, 27(3), 379-423. https://doi.org/10.1002/j.1538-7305.1948.tb01338.x

Suluk, S., Büyüksarıkulak, A. M., & Afşar, B. (2024). Development and Renewable Energy: An Examination of the Nordic Countries. Selçuk Üniversitesi Akşehir Meslek Yüksekokulu Sosyal Bilimler Dergisi, (17), 188-197.

Štilić, A., Puška, A., Božanić, D., & Tešić, D. (2023). Assessing the role of institutional reform in enhancing Balkan sustainable competitiveness: An Entropy-MARCOS perspective. Journal of Infrastructure, Policy and Development, 7(3), 2167. https://doi.org/10.24294/jipd.v7i3.2167

Şener, S. (2022). Legatum Refah Endeksi göstergeleri ve verileri kullanılarak refahın çok kriterli karar verme yöntemleri ile değerlendirilmesi. Eskişehir Osmangazi Üniversitesi İktisadi ve İdari Bilimler Dergisi, 17(1), 46-70. https://doi.org/10.17153/oguiibf.981581

Veysikarani, D., & Akdağ, N. (2024). Çok Değişkenli İstatistiksel Yöntemler ile Yeşil Gelecek ve Refah Arasındaki İlişkinin İncelenmesi. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi, (79), 207-221. https://doi.org/10.51290/dpusbe.1385528

Wang, T. C., & Lee, H. D. (2009). Developing a fuzzy TOPSIS approach based on subjective weights and objective weights. Expert systems with applications, 36(5), 8980-8985. https://doi.org/10.1016/j.eswa.2008.11.035

Wang, Z., Wang, J., Zhang, G., & Wang, Z. (2021). Evaluation of agricultural extension service for sustainable agricultural development using a hybrid entropy and TOPSIS method. Sustainability, 13(1), 347. https://doi.org/10.3390/su13010347

Wu, J., Sun, J., Liang, L., & Zha, Y. (2011). Determination of weights for ultimate cross efficiency using Shannon entropy. Expert Systems with Applications, 38(5), 5162-5165. https://doi.org/10.1016/j.eswa.2010.10.046

Wu, X., Zhang, C., & Yang, L. (2021). Evaluation and selection of transportation service provider by TOPSIS method with entropy weight. Thermal Science, 25(2 Part B), 1483-1488. https://doi.org/10.2298/TSCI200301050W

Yılmaz, Ş. K., & Şener, S. (2022). Analysis of the countries according to the prosperity level with data mining. Alphanumeric Journal, 10(2), 85-104. https://doi.org/10.17093/alphanumeric.1002461

Yoon, K. P., & Hwang, C. L. (1995). Multiple attribute decision making: an introduction. Sage publications.

Yuan, X., & Song, W. (2022). Evaluating technology innovation capabilities of companies based on entropy-TOPSIS: the case of solar cell companies. Information Technology and Management, 23(2), 65-76. https://doi.org/10.1007/s10799-021-00344-6

Zavadskas, E. K., Turskis, Z., & Kildienė, S. (2014). State of art surveys of overviews on MCDM/MADM methods. Technological and economic development of economy, 20(1), 165-179. https://doi.org/10.3846/20294913.2014.892037

Zhang, H., Gu, C. L., Gu, L. W., & Zhang, Y. (2011). The evaluation of tourism destination competitiveness by TOPSIS & information entropy–A case in the Yangtze River Delta of China. Tourism management, 32(2), 443-451. https://doi.org/10.1016/j.tourman.2010.02.007

Published

16.06.2025

How to Cite

EREN, H. (2025). Evaluation of Prosperity Levels of OECD Countries With Merec-Topsis And Entropy-Topsis Methods. Third Sector Social Economic Review, 60(2), 2011–2028. https://doi.org/10.63556/tisej.2025.1487

Issue

Section

Research Article

Similar Articles

1 2 3 4 5 6 7 8 9 10 > >> 

You may also start an advanced similarity search for this article.