Journals / JOEEP: Journal of Emerging Economies and Policy / 2025 / Cilt: 10 Sayı: 2

Assessment of Political Stability, Human Development and Economic Freedom Performance of BRICS-T Countries: A Hybrid MCDM Approach

BRICS-T Ülkelerinin Siyasi İstikrar, İnsani Kalkınma ve Ekonomik Özgürlük Performansının Değerlendirilmesi: Hibrit MCDM Yaklaşımı

Pages
483–505
Publication Date
2025-12-19
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Overall findings indicate that the United Arab Emirates, South Africa, and India show the highest performance, while the Russian Federation, Ethiopia, and Iran rank lowest in terms of the evaluated indicators.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study evaluates the performance of BRICS-T countries in terms of political stability, human development, and economic freedom using hybrid multi-criteria decision-making (MCDM) methods.
📊
Key Findings & Data:The weights of the criteria were calculated using the MEREC method, while the performance rankings of the countries were determined through CRADIS, SPOTIS, and RSMVC methods.
💡
Conclusion & Impact:Overall findings indicate that the United Arab Emirates, South Africa, and India show the highest performance, while the Russian Federation, Ethiopia, and Iran rank lowest in terms of the evaluated indicators.
🔬Design:Review & Systematic Survey
📍Scope:Comprehensive Sample
⚙️Variables:Siyasi istikrar · Ekonomik özgürlük · MCDM

Abstract

This study evaluates the performance of BRICS-T countries in terms of political stability, human development, and economic freedom using hybrid multi-criteria decision-making (MCDM) methods. Based on a literature review, the criteria were determined as voice and accountability, political stability and absence of violence/terrorism, government effectiveness, regulatory quality, rule of law, control of corruption, economic freedom index, and human development index. The data were obtained from the World Bank, Heritage Foundation, and UNDP reports. The weights of the criteria were calculated using the MEREC method, while the performance rankings of the countries were determined through CRADIS, SPOTIS, and RSMVC methods. According to the MEREC results, the most important criteria were identified as human development index, regulatory quality, and voice and accountability, whereas control of corruption, government effectiveness, and economic freedom index were the least important. Overall findings indicate that the United Arab Emirates, South Africa, and India show the highest performance, while the Russian Federation, Ethiopia, and Iran rank lowest in terms of the evaluated indicators.

Özet

Bu çalışma, BRICS-T ülkelerinin siyasi istikrar, beşerî kalkınma ve ekonomik özgürlük performanslarını hibrit çok kriterli karar verme (ÇKKV) yöntemleriyle değerlendirmektedir. Literatür taramasına dayanarak belirlenen kriterler; katılım ve hesap verebilirlik, siyasi istikrar ve şiddet/terörün yokluğu, devlet etkinliği, düzenleyici kalite, hukukun üstünlüğü, yolsuzluk kontrolü, ekonomik özgürlük endeksi ve insani gelişme endeksidir. Veriler Dünya Bankası, Heritage Foundation ve UNDP raporlarından elde edilmiştir. Kriter ağırlıkları MEREC yöntemiyle hesaplanmış; BRICS-T ülkelerinin performans sıralamaları ise CRADIS, SPOTIS ve RSMVC yöntemleriyle yapılmıştır. MEREC sonuçlarına göre en önemli kriterler insani gelişme endeksi, düzenleyici kalite ve katılım ve hesap verebilirlik olarak belirlenmiş; en az önemli kriterler ise sırasıyla yolsuzluk kontrolü, devlet etkinliği ve ekonomik özgürlük endeksidir. Genel sıralama sonuçları Birleşik Arap Emirlikleri, Güney Afrika ve Hindistan’ın en yüksek performansa; Rusya Federasyonu, Etiyopya ve İran’ın ise en düşük performansa sahip olduğunu göstermektedir.

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Cite This Article

Karakuş, T. F., Özekenci, E. K. (2025). Assessment of Political Stability, Human Development and Economic Freedom Performance of BRICS-T Countries: A Hybrid MCDM Approach. JOEEP: Journal of Emerging Economies and Policy, Cilt: 10 Sayı: 2, 483–505. https://ajindex.com/articles/1504131

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References (90)

  1. Abdillah, K., Handoyo, R. D., & Wasiaturrahma, W. (2020). The Effect of Control Corruption, Political Stability, Macroeconomic Variables on Asian Economic Growth. Ekuilibrium: Jurnal Ilmiah Bidang Ilmu Ekonomi, 15(2), 161. https://doi.org/10.24269/ekuilibrium.v15i2.2678
  2. Acemoglu, D., Johnson, S., & Robinson, J. (2010). The role of institutions in growth and development. World Bank. https://openknowledge.worldbank.org/entities/publication/1c1c7a97-7df0-576a-a857-3670a0810a51
  3. Aggarwal, S., Aggarwal, G., & Bansal, M. (2024). Effect of Different MCDM Techniques and Weighting Mechanisms on Women Vulnerability Index. International Journal of Intelligent Systems and Applications in Engineering. https://doi.org/10.53555/ijisae.v12i21s.6020
  4. Aisen, A., & Veiga, F. J. (2011). How does political instability affect economic growth? In IMF Working Paper WP/11/12. International Monetary Fund. https://www.imf.org/external/pubs/ft/wp/2011/wp1112.pdf
  5. Altıntaş, F. F. (2023). Analysis of the prosperity performances of G7 countries: An application of the LOPCOW-based CRADIS method. Alphanumeric Journal, 11(2), 291–312.
  6. An, Y., Tan, X., Gu, B., Zhu, K., Shi, L., & Ding, Z. (2023). An assessment of renewable energy development in Belt and Road Initiative countries: An entropy and TOPSIS approach. Energy Reports, 10, 3545–3560.
  7. Araujo, W. S., & Andrade, C. (2022). Egov strategy formulation taking into account international rankings: application of a method in an african country. Proceedings of the 15th International Conference on Theory and Practice of Electronic Governance.
  8. Ardielli, E. (2019). Use of TOPSIS method for assessing of good governance in European Union countries. Review of Economic Perspectives, 19(3), 211–231.
  9. Arisman, A. (2018). Determinant of Human Development Index in Southeast Asia. Jurnal Kebijakan Pembangunan Daerah, 2(2), 118–137. https://doi.org/10.37950/jkpd.v2i2.44
  10. Asadi, R. (2019). How globalization influences the developing countries’ human resources strategic policy. Journal of Economic Development Environment and People, 8(3), 32–46.
  11. Atan, M., Atan, S., & Gökmen, Ş. (2024). Ranking of countries according to the index of economic freedom with multicriteria decision making methods. Athens Journal of Business & Economics, 10(2), 109–120.
  12. Baklouti, N., & Boujelbene, Y. (2020). An econometric study of the role of the political stability on the relationship between democracy and economic growth. Panoeconomicus, 67(2), 187–206. https://doi.org/10.2298/PAN170308015B
  13. Bank, W. (2017). Protecting the “new poor” during Brazil’s economic crisis. In World Bank Blogs. https://blogs.worldbank.org
  14. Bank, W. (2024). Worldwide Governance Indicators (WGI). World Bank. https://info.worldbank.org/governance/wgi/
  15. Bank, W. (2025). GDP (current US$) – China.
  16. BBC. (2024). Brics: What is the group and which countries have joined? BBC. https://www.bbc.com/news/world-66525474
  17. Belanová, K., Sivák, R., Dziura, B., Bastyr, S., & Šípová, M. (2023). Empirical analysis of the impact of economic freedom on economic growth in the Slovak Republic, the Czech Republic and Singapore. Entrepreneurship and Sustainability Issues, 11(2), 419–432. https://doi.org/10.9770/jesi.2023.11.2(28)
  18. Çalık, A., Erdebilli, B., & Özdemir, Y. S. (2023). Novel Integrated Hybrid Multi-Criteria Decision-Making Approach for Logistics Performance Index. Transportation Research Record, 2677(2), 1392–1400. https://doi.org/https://doi.org/10.1177/03611981221113314
  19. Çalışkan, Z. D. (2019). Political stability and financial development: Evidence from Turkey. Fiscaoeconomia, 3(3), 72–79.
  20. Carter, J. R. (2007). An empirical note on economic freedom and income inequality. Public Choice, 130(1–2), 163–177. https://doi.org/10.1007/s11127-006-9078-0
  21. Chew, X. Y., Khaw, K. W., Alnoor, A., Ferasso, M., Al Halbusi, H., & Muhsen, Y. R. (2023). Circular economy of medical waste: novel intelligent medical waste management framework based on extension linear Diophantine fuzzy FDOSM and neural network approach. Environmental Science and Pollution Research, 30(21), 60473–60499. https://doi.org/10.1007/s11356-023-26677-z
  22. Chowdhury, P., & Paul, S. K. (2020). Applications of MCDM methods in research on corporate sustainability: A systematic literature review. Management of Environmental Quality, 31(2), 385–405. https://doi.org/https://doi.org/10.1108/MEQ-12-2019-0284
  23. De Lima Silva, D. F., & De Almeida Filho, A. T. (2020). Sorting with TOPSIS through boundary and characteristic profiles. Computers and Industrial Engineering, 141(January), 106328. https://doi.org/10.1016/j.cie.2020.106328
  24. Dezert, J., Tchamova, A., Han, D., & Tacnet, J. M. (2020). The SPOTIS rank reversal free method for multi-criteria decision-making support IEEE. 2020 IEEE 23rd International Conference on Information Fusion (FUSION), 1–8.
  25. Dirks, M. W., & Schmidt, T. (2024). Political instability and economic growth: Causation and transmission. Economic Modelling. https://doi.org/https://doi.org/10.1016/j.ejpoleco.2024.102586
  26. Dzihny, I., Wibowo, M. G., & Ihsan, A. (2023). Macroeconomics, human development and political stability: evidence from OIC countries. Jurnal Ekonomi & Studi Pembangunan, 24(2), 390–411. https://doi.org/10.18196/jesp.v24i2.19509
  27. Ecer, F., & Zolfani, S. (2022a). Evaluating Economic Freedom Via a Multi-Criteria Merec-Dnma Model-Based Composite System: Case of Opec Countries. Technological and Economic Development of Economy, 28(4), 1158–1181. https://doi.org/10.3846/tede.2022.17152
  28. Ecer, F., & Zolfani, S. H. (2022b). Evaluating economic freedom via a multi-criteria MEREC-DNMA model-based composite system: Case of OPEC countries. Technological and Economic Development of Economy, 28(5), 1271–1287. https://doi.org/10.3846/tede.2022.17253
  29. Erilli, N. A. (2018). Economic Freedom Index Calculation Using FCM. Alphanumeric Journal, 6(1), 93–116. https://doi.org/10.17093/alphanumeric.337322
  30. Eştürk, Ö., & Mert, N. (2022). Analyzing The Determinants of Agricultural Value Added in EU15 Countries and Turkey by Panel Data. International Journal of Social Sciences (IJSS)/Uluslararasi Sosyal Bilimler Dergisi, 6(26).
  31. Foundation, H. (2024). Index of Economic Freedom 2024: United Arab Emirates. Heritage Foundation. https://www.heritage.org/index/
  32. Foundation, T. H. (2024). Economic Freedom Index: All country scores. The Heritage Foundation. https://www.heritage.org/index/pages/all-country-scores
  33. Fund, I. M. (2015a). Russian Federation: Concluding statement of the 2015 Article IV mission. IMF.
  34. Fund, I. M. (2015b). The spillover effects of Russia’s economic slowdown on the CIS countries. In IMF Spillover Note No. 3. IMF.
  35. Fund, I. M. (2025). World Economic Outlook update: Tenuous resilience amid persistent uncertainty. IMF.
  36. Garrett, T. A., & Rhine, R. M. (2014). Economic Freedom and Employment Growth in U.S. States. Federal Reserve Bank of St. Louis Review, 42.
  37. Gerged, A., & Elheddad, M. (2020). How can national governance affect education quality in Western Europe? International Journal of Sustainability in Higher Education, 21(3), 413–426. https://doi.org/10.1108/IJSHE-10-2019-0314
  38. Glauben, T., & Duric, I. (2024). BRICS: World Heavyweight in Agricultural Trade. Intereconomics, 59(3), 160–166. https://doi.org/10.2478/ie-2024-0033
  39. Govindan, K., Rajendran, S., Sarkis, J., & Murugesan, P. (2015). Multi criteria decision making approaches for green supplier evaluation and selection: A literature review. Journal of Cleaner Production, 98, 66–83. https://doi.org/10.1016/j.jclepro.2013.06.046
  40. Greco, S., Ehrgott, M., & Figueira, J. R. (2016). Multiple criteria decision analysis: State of the art surveys (2nd ed.). Springer.
  41. Guarini, M., Battisti, F., & Chiovitti, A. (2017). Public initiatives of settlement transformation: a theoretical-methodological approach to selecting tools of multi-criteria decision analysis. Buildings, 8(1), 1. https://doi.org/https://doi.org/10.3390/buildings8010001
  42. Gwartney, J., Lawson, R., Hall, J., & Murphy, R. (2022). Economic Freedom of the World: 2022 Annual Report. In Economic Freedom of the World: 2022 Annual Report. https://doi.org/10.53095/88975001
  43. Heckelman, J. C. (2000). Economic Freedom and Economic Growth: A Short-Run Causal Investigation. Journal of Applied Economics, 3(1), 71–91. https://doi.org/10.1080/15140326.2000.12040546
  44. Imaningsih, N., Priana, W., Sishadiyati, S., Asmara, K., & Wijaya, R. (2020). Analysis of factors affecting human development index East Java. In Proceedings of the 2nd International Conference on Economics, Business, and Government Challenges.
  45. International, T. (2024). Corruption Perceptions Index 2024. Transparency International. https://www.transparency.org/en/cpi/2024
  46. Ipmawan, H., Kristanto, D., Hendrawan, K., & Kuncoro, A. W. (2022). The Influence of The Human Development Index, Unemployment Rate, and Illiteracy Population on Poverty Level in Indonesia for the Period 2015-2020. MUHARRIK: Jurnal Dakwah Dan Sosial, 5(1), 89–103. https://doi.org/10.37680/muharrik.v5i1.1372
  47. Karaköy, Ç., Ulutaş, A., Karabasevic, D., Üre, S., & Bayrakçil, A. O. (2023). The evaluation of economic freedom indexes of EU countries with a grey hybrid MCDM model. Romanian Journal of Economic Forecasting, 26(1), 129.
  48. Kašťáková, E., & Chlebcová, A. (2020). Analysis of the Western Balkans Territories Using the Index of Economic Freedom. Studia Commercialia Bratislavensia, 13(46), 320–329. https://doi.org/10.2478/stcb-2020-0013
  49. Kaufmann, D., Kraay, A., The, M. M., & Bank, W. (2023). Worldwide Governance Indicator. September. https://www.worldbank.org/en/publication/worldwide-governance-indicators
  50. 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.
  51. Kinnunen, J., Androniceanu, A., & Georgescu, I. (2019). The Role of Economic and Political Features in Classification of Countries-in-Transition by Human Development Index. Informatica Economica, 23(4/2019), 26–40. https://doi.org/10.12948/issn14531305/23.4.2019.03
  52. Krylovas, A., Dadelienė, R., Kosareva, N., & Dadelo, S. (2019). Comparative evaluation and ranking of the European countries based on the interdependence between human development and internal security indicators. Mathematics, 7(3), 293.
  53. Lopes, C. F., Ferreira, A., & Ferreira, C. (2023). Corporate Scandals and Global Indexes: Examining the Roles of Corruption, Development, Press Freedom, Sustainability, and Democracy. In Addressing Corporate Scandals and Transgressions Through Governance and Social Responsibility. IGI Global, 201–236.
  54. Mardani, A., Jusoh, A., & Zavadskas, E. K. (2015). Fuzzy multiple criteria decision-making techniques and applications – Two decades review from 1994 to 2014. Expert Systems with Applications, 42(8), 4126–4148. https://doi.org/10.1016/j.eswa.2015.01.003
  55. Muhamad Ferdy Firmansyah, Nanang Rusliana, Haikal Zulian Maulana, Sri Rahmi Nuraini, & Muhamad Ridho. (2023). the Role of Gdp Per Capita, Economic Freedom Index and Population Growth To Political Stability in Southeast Asian Countries. The Sunan Ampel Review of Political and Social Sciences, 2(2), 97–117. https://doi.org/10.15642/sarpass.2023.2.2.97-117
  56. Mukhametzyanov, I. Z. (2021). Specific character of objective methods for determining weights of criteria in MCDM problems: Entropy, CRITIC, SD. Decision Making: Applications in Management and Engineering, 4(2), 76–105. https://doi.org/10.31181/DMAME210402076I
  57. O’Neill, A. (2024). Gross domestic product (GDP) of the BRICS countries from 2000 to 2029. Statista. https://www.statista.com/statistics/254281/gdp-of-the-bric-countries/#:~:text=China has the largest GDP,more than the United States.
  58. Omrani, H., Alizadeh, A., & Amini, M. (2020). A new approach based on BWM and MULTIMOORA methods for calculating semi-human development index: An application for provinces of Iran. Socio-Economic Planning Sciences, 70, 100689.
  59. Onuah, F. (2023). Nigeria not ready to join BRICS, says foreign minister. Reuters. https://www.reuters.com/world/africa/nigeria-not-ready-join-brics-says-foreign-minister-2023-08-23
  60. Pinar, M., Stengos, T., & Yazgan, M. E. (2015). Measuring Human Development in the MENA Region. Emerging Markets Finance and Trade, 51(6), 1179–1192. https://doi.org/10.1080/1540496X.2015.1080517
  61. Press, A. (2023). Argentina formally announces it won’t join the BRICS alliance in Milei’s latest policy shift. AP News. https://apnews.com/article/46f2f7cdbdf6ff66523608503a6648d5
  62. Programme, U. N. D. (2024). Human Development Report 2024. UNDP. https://hdr.undp.org/
  63. Programme, U. N. D. (2025). Human Development Report 2025. UNDP. https://hdr.undp.org/
  64. Puška, A., Štilić, A., & Stojanović, I. (2023). Approach for multi-criteria ranking of balkan countries based on the index of economic freedom. Journal of Decision Analytics and Intelligent Computing, 3(1), 1–14. https://doi.org/https://doi.org/10.31181/jdaic10017022023p
  65. Radovanovic, B. (2011). Human development index as a measure of human development. Filozofija i Drustvo, 22(3), 193–208. https://doi.org/10.2298/fid1103193r
  66. Reilly, B. (2002). Social choice in the south seas: Electoral innovation and the Borda count in the pacific island countries. International Political Science Review, 23(4), 355–372.
  67. Relations, C. on F. (2023). What is the BRICS group and why is it expanding?
  68. Reuters. (2017). Brazil’s worst-ever recession unexpectedly deepens in late 2016. Thomson Reuters.
  69. Reuters. (2024). Kremlin says it regrets Argentina’s decision not to join BRICS, hopes it reconsiders. Reuters. https://www.reuters.com/world/europe/kremlin-says-it-regrets-argentinas-decision-not-join-brics-hopes-it-reconsiders-2024-01-19
  70. Rode, M., & Coll, S. (2012). Economic freedom and growth. Which policies matter the most? Constitutional Political Economy, 23(2), 95–133. https://doi.org/10.1007/s10602-011-9116-x
  71. Sahoo, S. K., & Goswami, S. S. (2023). A Comprehensive Review of Multiple Criteria Decision-Making (MCDM) Methods: Advancements, Applications, and Future Directions. Decision Making Advances, 1(1), 25–48. https://doi.org/10.31181/dma1120237
  72. Shabbir, G., Anwar, M., & Adil, S. (2016). Corruption, Political Stability and Economic Growth. The Pakistan Development Review, 55(4), 689–702.
  73. Singha, K. (2022). Political stability and its effect on economy: Some lessons. PMC – National Library of Medicine. https://pmc.ncbi.nlm.nih.gov/articles/PMC9427090/
  74. Sofilda, E., Hamzah, M. Z., & Ginting, A. M. (2022). Analysis of determining the financial inclusion index of composite, conventional and sharia banking in Indonesia. Banks and Bank Systems, 17(1), 38–48. https://doi.org/10.21511/bbs.17(1).2022.04
  75. Stryzhak, O., Tupa, M., & Rodzik, J. (2022). Relationship Between the Level of Human Development and Institutional Quality. Economics and Sociology, 15(2), 274–295. https://doi.org/10.14254/2071-789X.2022/15-2/17
  76. Suhaili, M., Widayati, A., & Fatah, A. (2020). Government Investment in The Education Sector for Human Capital Development. The Indonesian Journal of Planning and Development, 5(2), 58–65. https://doi.org/10.14710/ijpd.5.2.58-65
  77. Sukarno, M., & Nurmandi, A. (2023). E-government development index impact on world governance indicator index in southeast asian countries. Journal of Contemporary Governance and Public Policy, 4(1), 97–114. https://doi.org/https://doi.org/10.46507/jcgpp.v4i1.106
  78. Uddin, G. E. (2023). Human Development Index: A regional perspective. International Journal of Development and Management Review, 18(1), 125–140. https://doi.org/10.4314/ijdmr.v18i1.9
  79. Uzelac, O., Davidovic, M., & Mijatovic, M. D. (2020). Legal framework, political environment and economic freedom in central and Eastern Europe: do they matter for economic growth ? Post-Communist Economies, 00(00), 1–29. https://doi.org/10.1080/14631377.2020.1722583
  80. Van Dua, T., & Thinh, H. X. (2023). RSMVC: A New-Simple Method to Select the Cutting Tool Base on Multi Criteria. Journal of Applied Engineering Science, 21(1), 167–175.
  81. Wibowo, M. G. (2023). Political Stability and Human Development in The Organization of Islamic Cooperation (OIC) Countries. Jurnal Ilmiah Ekonomi Islam, 9(3), 4110. https://doi.org/10.29040/jiei.v9i3.10262
  82. Wolff, H., Chong, H., & Auffhammer, M. (2011). Classification, detection and consequences of data error: evidence from the human development index. The Economic Journal, 121(553), 843–870.
  83. Yevdokimov, Y., Melnyk, L., Lyulyov, O., Panchenko, O., & Kubatko, V. (2018). Economic freedom and democracy: Determinant factors in increasing macroeconomic stability. Problems and Perspectives in Management, 16(2), 279–290.
  84. Yuliantini, L. S., & Nurmandi, A. (2023). The Impact of the E-Government Development Index (EGDI) on the Worldwide Governance Indicator (WGI) in European Union Countries., 7(2), 140-153. Policy & Governance Review, 7(2), 140–153.
  85. Zavadskas, E. K., Turskis, Z., & Kildienė, S. (2014). State of the 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
  86. Zopounidis, C., & Pardalos, P. M. (2010). Handbook of multicriteria analysis. Springer.
  87. Abdillah, K., Handoyo, R. D., & Wasiaturrahma, W. (2020). The Effect of Control Corruption, Political Stability, Macroeconomic Variables on Asian Economic Growth. Ekuilibrium: Jurnal Ilmiah Bidang Ilmu Ekonomi, 15(2), 161. https://doi.org/10.24269/ekuilibrium.v15i2.2678
  88. Shabbir, G., Anwar, M., & Adil, S. (2016). Corruption, Political Stability and Economic Growth. The Pakistan Development Review, 55(4), 689–702.
  89. Uzelac, O., Davidovic, M., & Mijatovic, M. D. (2020). Legal framework, political environment and economic freedom in central and Eastern Europe: do they matter for economic growth ? Post-Communist Economies, 00(00), 1–29. https://doi.org/10.1080/14631377.2020.1722583
  90. Yuliantini, L. S., & Nurmandi, A. (2023). The Impact of the E-Government Development Index (EGDI) on the Worldwide Governance Indicator (WGI) in European Union Countries., 7(2), 140-153. Policy & Governance Review, 7(2), 140–153.