Comparative Analysis of Macroeconomic and Insurance Performance: Comparative Analysis of a Multi-Criteria Approach with SPC-SWARA Based ARLON Model on OECD Countries: A Multi-Criteria Approach with SPC-SWARA Based ARLON Model on OECD Countries

Year 2025, Volume: 5 Issue: 1, 61 - 77, 30.04.2025

Yusuf Kahreman , Mehmet Zafer Taşcı

Abstract

This study conducts a comparative analysis of the economic and insurance sector performances of OECD member countries for the period 2011–2021 using Multi-Criteria Decision Making (MCDM) methods. The criteria weights were determined through a hybrid approach: the SPC method was employed for objective weighting based on statistical data, while the SWARA method was utilized for subjective weighting based on expert opinions. The combined weights were then used in the ARLON method to rank countries' performances. The findings reveal that economic and insurance sector performances are not always linearly correlated, and country-specific structural and policy factors play a significant role in shaping this relationship. While Latvia, Costa Rica, and Slovenia ranked highest in insurance performance, Switzerland, Israel, and Denmark led in economic performance. By applying the rarely used SWARA-SPC-based ARLON model, this study offers a methodological contribution and provides policymakers with an analytical framework for multidimensional performance assessment

Keywords

OECD, Economic performance, Insurance sector, MCDM (Multi-Criteria Decision Making)

Makroekonomik ve Sigortacılık Performanslarının Karşılaştırmalı Analizi: OECD Ülkeleri Üzerine SPC–SWARA Temelli ARLON Modeliyle Çok Kriterli Bir Yaklaşım

Abstract

Bu çalışma, Ekonomik Kalkınma ve İşbirliği Örgütü (OECD) üyesi ülkelerin 2011–2021 dönemi itibarıyla ekonomik performansları ile sigorta sektörü performanslarını çok kriterli karar verme (ÇKKV) yöntemleri aracılığıyla karşılaştırmalı olarak analiz etmektedir. Analiz sürecinde ekonomik ve sektörel göstergeler, SPC yöntemiyle objektif olarak, SWARA yöntemiyle ise uzman görüşlerine dayalı öznel olarak ağırlıklandırılmıştır. Bu ağırlıklandırma sonucunda elde edilen birleşik önem düzeyleri, ARLON yöntemi ile değerlendirilmiş ve ülkelerin göreli performans sıralamaları belirlenmiştir. Bulgular, ekonomik ve sigorta sektörü performansları arasında genellikle doğrusal bir ilişkinin bulunmadığını, ülkelere özgü yapısal ve politik faktörlerin bu ilişkiyi şekillendirdiğini ortaya koymaktadır. Letonya, Kosta Rika ve Slovenya gibi ülkeler sigorta performansında öne çıkarken; İsviçre, İsrail ve Danimarka ekonomik göstergelerde üst sıralarda yer almıştır. Bu çalışma, literatürde nadiren kullanılan SWARA-SPC temelli ARLON modelinin uygulanması ile yöntemsel bir yenilik sunmakta ve karar vericilere çok boyutlu değerlendirme için analitik bir çerçeve sunmaktadır.

Keywords

OECD, Ekonomik performans, Sigorta sektörü, ÇKKV

References

• Akbulut, O. Y. (2025). Performance analysis of Turkish insurance sector using Grey MARCOS and Grey PSI models. Journal of Advanced Studies in Applied Sciences and Economics, 9(1), 55–72.
• Alaghemand, S. (2014). MCDM model for FDI evaluation in OECD countries [Master’s thesis, Eastern Mediterranean University].
• Almulhim, T. S. (2020). Multi-criteria evaluation of insurance industries performance: An analysis of EDAS based on the entropy weight. International Journal for Quality Research, 14(4), 1027–1044.
• Ardielli, E., & Bobrowska, A. (2022). Multi-criteria evaluation of health care performance in the Czech Republic and Poland. Opole University Repository.
• Arena, M. (2008). Does insurance market activity promote economic growth? A cross-country study for industrialized and developing countries. The Journal of Risk and Insurance, 75(4), 921–946. https://doi.org/10.1111/j.1539-6975.2008.00291.x
• Arsu, T., & Ayçin, E. (2021). Evaluation of OECD countries with multi-criteria decision-making methods in terms of economic, social and environmental aspects. Proceedings of International Conferences on Social Sciences and Humanities.
• Beiragh, R. G., Alizadeh, R., & Kaleibari, S. S. (2020). An integrated multi-criteria decision-making model for sustainability performance assessment for insurance companies. Sustainability, 12(3), 789.
• Bilbao-Terol, A., Arenas-Parra, M., & Quiroga-García, R. (2022). An extended best–worst method for insurance assessment. TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, 30(3), 712–739.
• Çilek, A., & Şeyranlıoğlu, O. (2025). Financial performance of Turkish insurance via CRADIS, LODECI. Journal of Business Research – Türk, 17(2), 200–212.
• Çilek, A., & Şeyranlıoğlu, O. (2025). Measuring the financial performance of reinsurance companies in Türkiye with LODECI, CRADIS and AROMAN MCDM methods. Journal of Business Research – Türk, 17(2), 213–230.
• Erdebilli, B., & Yilmaz, İ. (2024). An integrated multiple-criteria decision-making and data envelopment analysis framework for efficiency assessment in sustainable healthcare systems. Healthcare Analytics, 4, 100071.
• Haiss, P., & Sümegi, K. (2008). The relationship between insurance and economic growth in Europe: A theoretical and empirical analysis. Empirical Economics, 35(3), 405–431. https://doi.org/10.1007/s00181-007-0114-5
• Işık, Ö., & Adalar, İ. (2025). A multi-criteria sustainability performance assessment based on the extended CRADIS method under intuitionistic fuzzy environment: A case study of Turkish non-life insurance companies. Neural Computing and Applications.
• Işık, Ö., Çalık, A., & Shabir, M. (2025). Consolidated MCDM framework for listed insurance companies: A hybrid AHP–VIKOR–entropy approach. Computational Economics.
• Işık, Ö., Shabir, M., Demir, G., Puska, A., & Pamucar, D. (2025). Hybrid MCDM framework for bank-insurance sector in OECD: An application of TOPSIS, CRADIS and CODAS. Financial Innovation, 11(1), 68.
• İlkaz, A., & Çebi, F. (2024). Multi-criteria decision-making model for evaluation of financial performance of insurance companies. In G. E. Yücel & M. Yildirim (Eds.), Financial Modeling and Sustainable Insurance (pp. 82–100). IGI Global.
• Khabbazi, N. M. P., & Fashkache, H. T. (2024). Comparing insurance performance via AI-integrated MCDM. International Journal of Systems and Software Engineering, 6(1), 27–38.
• Lee, C. C., Lee, C. C., & Lee, C. C. (2016). Insurance development and the finance-growth nexus: Evidence from 34 OECD countries. Journal of International Financial Markets, Institutions and Money, 44, 1–16. https://doi.org/10.1016/j.intfin.2015.06.005
• Mamoudan, M. M., & Forouzanfar, D. (2024). Factor identification for insurance pricing using multi-criteria decision-making (MCDM) approaches. Journal of Ambient Intelligence and Humanized Computing, 15, 1123–1139.
• Mimovic, P., Tadic, D., & Borota-Tisma, A. (2021). Evaluation and ranking of insurance companies by combining TOPSIS and the interval fuzzy rough sets. Serbian Journal of Management, 16(2), 321–336.
• Outreville, J. F. (2013). The relationship between insurance and economic development: 85 empirical papers for a review of the literature. Risk Management and Insurance Review, 16(1), 71–122. https://doi.org/10.1111/rmir.12003
• Özkaya, G. (2022). Country comparisons on the concept of economic freedom: A multi-criteria decision-making approach. Business and Economics Research Journal, 13(2), 281–298.
• Türegün, N. (2022). Financial performance evaluation using MCDM: Evidence from OECD countries. Heliyon, 8(11), e10649.
• Ünal, E. A. (2024). Evaluation of sustainability performance with fuzzy AHP-TOPSIS-CODAS: An application on OECD countries. Sosyoekonomi, 32(1), 95–114.
• Ward, D., & Zurbruegg, R. (2000). Does insurance promote economic growth? Evidence from OECD countries. The Journal of Risk and Insurance, 67(4), 489–506. https://doi.org/10.2307/253847
• Zavadskas, E. K., Turskis, Z., & Kildienė, S. (2020). State-of-art survey on MCDM/MADM methods. Technological and Economic Development of Economy, 26(2), 1–30. https://doi.org/10.3846/tede.2020.11891