Dergiler / Journal of Mehmet Akif Ersoy University Economics and Administrative Sciences Faculty / 2025 / Volume: 12 Issue: 4

Sustainable Development Performance Analysis with SIWEC-M and RAWEC

Sayfa
—
Yayın Tarihi
2025-12-23
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

The study identifies structural vulnerabilities in Turkey's sustainability performance, informing future policy interventions to enhance economic and social resilience.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:This research assesses Turkey's sustainable development performance from 2011 to 2021 through an innovative integrated multi-criteria decision-making (MCDM) framework.
📊
Temel Bulgular & Veri:The methodology integrates three objective weighting methods [SIWEC-M, MEREC, and Standard Variance (SV)] with the RAWEC method for the purpose of ranking alternative years.
💡
Sonuç & Katkı:The study identifies structural vulnerabilities in Turkey's sustainability performance, informing future policy interventions to enhance economic and social resilience.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:2011 Verileri
⚙️Değişkenler:Sustainable development performance · Multi Criteria Decision Making (MCDM) · SIWEC-M

Abstract

This research assesses Turkey's sustainable development performance from 2011 to 2021 through an innovative integrated multi-criteria decision-making (MCDM) framework. The methodology integrates three objective weighting methods [SIWEC-M, MEREC, and Standard Variance (SV)] with the RAWEC method for the purpose of ranking alternative years. The SIWEC-M method, an enhancement of the SIWEC, was designed to address the zero-weight limitation present in the original method, thereby providing more balanced and reliable criteria weighting. The results indicate that inflation is the primary factor influencing Turkey's sustainability trajectory, whereas the Social Development Index (SDI) has the least impact. The analysis identifies 2011 as the apex year for Turkey's sustainable development, succeeded by 2013, 2015, and 2016, while 2021 is noted as the year of lowest performance. A sensitivity analysis based on Monte Carlo simulation further confirms the robustness of the results across different criterion weights. The consistency of the proposed methodology was validated through a comparison of outcomes with established MCDM techniques, including ARAS, COPRAS, and WASPAS, which yielded identical rankings. This study enhances the SIWEC-M model methodologically and provides empirical insights for policymakers regarding Turkey’s sustainable development dynamics, highlighting the significance of macroeconomic factors such as inflation. The study identifies structural vulnerabilities in Turkey's sustainability performance, informing future policy interventions to enhance economic and social resilience.

🔖

Bu Makaleye Atıf Yap

Ulutaş, A., Demirbaş, M. (2025). Sustainable Development Performance Analysis with SIWEC-M and RAWEC. Journal of Mehmet Akif Ersoy University Economics and Administrative Sciences Faculty, Volume: 12 Issue: 4. https://doi.org/10.30798/makuiibf.1645106

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...

Kaynakça (74)

  1. Akbulut, O. Y., & Aydın, Y. (2024). A hybrid multidimensional performance measurement model using the MSD-MPSI-RAWEC model for Turkish Banks. Journal of Mehmet Akif Ersoy University Economics and Administrative Sciences Faculty, 11(3), 1157-1183. https://doi.org/10.30798/makuiibf.1464469
  2. Alkan, G., & Merdivenci, F. (2021). Sürdürülebilir kalkınma açısından lojistik performans endeksine göre seçilen ülkelerin Entropi temeline dayalı Edas yöntemi ile değerlendirmesi. Gümüşhane Üniversitesi Sosyal Bilimler Dergisi, 12(2), 627-641.
  3. Alpdoğan, H. (2023). OECD ülkelerinde sürdürülebilir kalkınma politikalarının ARAS metodu ile performans analizi. Business & Management Studies: An International Journal, 11(3), 1079-1103. https://doi.org/10.15295/bmij.v11i3.2285
  4. Alrashdi, I., Ali, A. M., Sallam, K. M., & Abdel-Basset, M. (2025). Assessment and analysis of development risks under uncertainty: The impact of disruptive technologies on renewable energy development. Energy Nexus, 17, 100371. https://doi.org/10.1016/j.nexus.2025.100371
  5. Arslan, G. E. (2013). Ekonomik büyüme, kalkınma ve gelir dağılımı. Hitit Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 6(2), 45-52.
  6. Bączkiewicz, A., Wątróbski, J., & Karczmarczyk, A. (2024). A novel multi-criteria temporal decision support method-sustainability evaluation case study. International Conference on Computational Science, Spain,14833, 189-203, https://doi.org/10.1007/978-3-031-63751-3_13
  7. Badi, I., Bouraima, M. B., Yanjun, Q., & Qingping, W. (2025). Advancing sustainable logistics and transport systems in free trade zones: A multi-criteria decision-making approach for strategic sustainable development. International Journal of Sustainable Development Goals, 1, 45-55. https://doi.org/10.59543/ijsdg.v1i.14213
  8. Brodny, J., & Tutak, M. (2023). The level of implementing sustainable development goal" Industry, innovation and infrastructure" of Agenda 2030 in the European Union countries: Application of MCDM methods. Oeconomia Copernicana, 14(1), 47-102. https://doi.org/10.24136/oc.2023.002
  9. Cao, J., Spulbar, C., Eti, S., Horobet, A., Yüksel, S., & Dinçer, H. (2025). Innovative approaches to green digital twin technologies of sustainable smart cities using a novel hybrid decision-making system. Journal of Innovation & Knowledge, 10(1), 100651. https://doi.org/10.1016/j.jik.2025.100651
  10. Chen, T. Y. (2024). An integrated MEREC-taxonomy methodology using T-spherical fuzzy information: An application in smart farming decision analytics. Advanced Engineering Informatics, 62, 102891. https://doi.org/10.1016/j.aei.2024.102891
  11. Ding, L., Shao, Z., Zhang, H., Xu, C., & Wu, D. (2016). A comprehensive evaluation of urban sustainable development in China based on the TOPSIS-entropy method. Sustainability, 8(8), 746. https://doi.org/10.3390/su8080746
  12. Dinler, Z. (2013). Mikroekonomi (24th ed.). Ekin Basım Yayın Dağıtım.
  13. Do, D. T. (2024). Assessing the impact of criterion weights on the ranking of the top ten universities in Vietnam. Engineering, Technology & Applied Science Research, 14(4), 14899–14903. https://doi.org/10.48084/etasr.7607
  14. Dwivedi, P. P., & Sharma, D. K. (2022). Application of Shannon Entropy and COCOSO techniques to analyze performance of sustainable development goals: The case of the Indian Union Territories. Results in Engineering, 14, 100416. https://doi.org/10.1016/j.rineng.2022.100416
  15. Dwivedi, P. P., & Sharma, D. K. (2025). Performance measures of sustainable development goals using SWI MCDM methods: a case of the Indian states. International Transactions in Operational Research, (Article in Press), https://doi.org/10.1111/itor.13609
  16. El-Jaberi, I. K. A., Stojanović, I., Puška, A., Ljepava, N., & Prodanović, R. (2024). Selection of renewable energy projects from the investor’s point of view based on the fuzzy–rough approach and the bonferroni mean operator. Sustainability, 16(22), 9929. https://doi.org/10.3390/su16229929
  17. Emovon, I., & Samuel, O. D. (2017). An integrated Statistical Variance and VIKOR methods for prioritising power generation problems in Nigeria. Journal of Engineering and Technology, 8(1), 92-104.
  18. Ersoy, N. (2022). OECD ve AB üyesi ülkelerin inovasyon performanslarinin MEREC-MARCOS bütünleşik modeli ile ölçümü. Dokuz Eylül Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 24(3), 1039-1063. https://doi.org/10.16953/deusosbil.1106249
  19. Fan, J., Lei, T., & Wu, M. (2024). MEREC-MABAC method based on cumulative prospect theory for picture fuzzy sets: Applications to wearable health technology devices. Expert Systems with Applications, 255, 124749. https://doi.org/10.1016/j.eswa.2024.124749
  20. Fernández-Portillo, L. A., Demir, G., Sianes, A., & Santos-Carrillo, F. (2024). Setting a shared development agenda: prioritizing the sustainable development goals in the Dominican Republic with fuzzy-LMAW. Scientific Reports, 14(1), 12146. https://doi.org/10.1038/s41598-024-62790-w
  21. Ghorabaee, M.K., 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
  22. Ghorabaee, M.K. (2021). Assessment of distribution center locations using a multi-expert subjective–objective decision-making approach. Scientific Reports, 11(1), 19461. https://doi.org/10.1038/s41598-021-98698-y
  23. 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
  24. Gökalp, Y., Eti, S., Yüksel, S., & Dinçer, H. (2025). Towards sustainable healthcare: A fuzzy multi-criteria framework for green hospital investments. Computer and Decision Making: An International Journal, 2, 419-424. https://doi.org/10.59543/comdem.v2i.10969
  25. Guido, G., Haghshenas, S. S., Haghshenas, S. S., Vitale, A., Gallelli, V., & Astarita, V. (2022). Prioritizing the potential smartification measures by using an Integrated decision support system with sustainable development goals (a case study in southern Italy). Safety, 8(2), 35. https://doi.org/10.3390/safety8020035
  26. Gülençer, I., & Türkoglu, S. P. (2020). Gelişmekte olan Asya ve Avrupa ülkelerinin finansal gelişmişlik performansının istatistiksel varyans prosedürü temelli OCRA yöntemiyle analizi. Third Sector Social Economic Review, 55(2), 1330-1344. https://doi.org/10.15659/3.sektor-sosyal-ekonomi.20.06.1375
  27. Isik, O., Aydin, Y., & Kosaroglu, S. M. (2020). The assessment of the logistics performance index of CEE countries with the new combination of SV and MABAC methods. LogForum, 16(4), 549-559. https://doi.org/10.17270/J.LOG.2020.504
  28. Kahreman, Y. (2024a). G7 ülkeleri sürdürülebilir kalkınma performansının ölçülmesi. Ordu Üniversitesi Sosyal Bilimler Enstitüsü Sosyal Bilimler Araştırmaları Dergisi, 14(4), 1447-1464.
  29. Kahreman, Y. (2024b). Türkiye’nin sürdürülebilir kalkınma ve alt boyut performanslarının LOPCOW-CRADIS yöntemi ile belirlenmesi. MANAS Sosyal Araştırmalar Dergisi, 13(4), 1411-1426. https://doi.org/10.33206/mjss.1354435
  30. Karaşan, A., & Kahraman, C. (2018). A novel interval-valued neutrosophic EDAS method: prioritization of the United Nations national sustainable development goals. Soft Computing, 22, 4891-4906. https://doi.org/10.1007/s00500-018-3088-y
  31. Kaya, S. K. (2020). Evaluation of the effect of COVID-19 on countries’ sustainable development level: A comparative MCDM framework. Operational Research in Engineering Sciences: Theory and Applications, 3(3), 101-122. https://doi.org/10.31181/oresta20303101k
  32. Komasi, H., Yazdi, A. K., Jamini, D., Tan, Y., & Ocampo, L. (2025). Sustainable industrial development potential of Iranian provinces using the integration of MEREC and TRUST methods. Journal of Management Analytics, 12(4), 849-881. https://doi.org/10.1080/23270012.2025.2506748
  33. Liu, H. C., Liu, L., & Wu, J. (2013). Material selection using an interval 2-tuple linguistic VIKOR method considering subjective and objective weights. Materials & Design (1980-2015), 52, 158-167. https://doi.org/10.1016/j.matdes.2013.05.054
  34. Lukić, R. (2023). Analysis of the performance of the Serbian economy based on the MEREC-WASPAS method. MARSONIA: Časopis za društvena i humanistička istraživanja, 2(1), 39-52.
  35. Lukic, R. (2025). Application of Fuzzy SIWEC and Rough MABAC Methods in the Evaluation of Trade Performance Dynamics in Serbia. Management and Economics Review, 10(2), 448-456.
  36. Mastilo, Z., Štilić, A., Gligović, D., & Puška, A. (2024). Assessing the banking sector of Bosnia and Herzegovina: An analysis of financial indicators through the MEREC and MARCOS methods. Journal of Central Banking Theory and Practice, 13(1), 167-197. https://doi.org/10.2478/jcbtp-2024-0008
  37. Mateusz, P., Danuta, M., Małgorzata, Ł., Mariusz, B., & Kesra, N. (2018). TOPSIS and VIKOR methods in study of sustainable development in the EU countries. Procedia Computer Science, 126, 1683-1692. https://doi.org/10.1016/j.procs.2018.08.109
  38. Meral, İ. G. (2024). Türkiye ve Türki Cumhuriyetlerde sürdürülebilir kalkınma performansının CRITIC-LOPCOW ve CoCoSo yöntemleriyle incelenmesi. Fiscaoeconomia, 8(2), 619-645. https://doi.org/10.25295/fsecon.1431939
  39. Mishra, A. R., Pamucar, D., Rani, P., & Hezam, I. M. (2025). Single-Valued Neutrosophic Distance Measure-Based MEREC-RANCOM-WISP for Solving Sustainable Energy Storage Technology Problem. Cognitive Computation, 17(2), 1-22. https://doi.org/10.1007/s12559-025-10437-x
  40. Modibbo, U. M., Ali, I., & Ahmed, A. (2021). Multi-objective optimization modelling for analysing sustainable development goals of Nigeria: Agenda 2030. Environment, Development and Sustainability, 23(6), 9529-9563. https://doi.org/10.1007/s10668-020-01022-3
  41. Mohamed, M., Salam, A., & Ye, J. (2024). Selection of sustainable material for the construction of drone aerodynamic wing using Neutrosophic RAWEC. Systems assessment and engineering management, 1, 54-72. https://doi.org/10.61356/j.saem.2024.1295
  42. Muneeb, S. M., Nomani, M., Asim, Z., & Adhami, A. (2022). Assessing and optimizing decision‐making policies of India with public employment growth as a key indicator toward sustainable development goals using multicriteria mathematical modeling. Journal of Public Affairs, 22(4), e2635. https://doi.org/10.1002/pa.2635
  43. Nedeljković, M., Papović, Z., & Krstić, S. (2024). Assessment of the weight of factors influencing food losses using fuzzy multi-criteria analysis. Economics of Agriculture, 71(4), 1313-1324. https://doi.org/10.59267/ekoPolj24041313N
  44. Nedeljković, M., Puška, A., Pamučar, D., & Marinković, D. (2024). Selection of agricultural product sales channels using fuzzy double MEREC and fuzzy RAWEC Method. Agriculture and Forestry, 70(3), 45-58. https://doi.org/10.17707/AgricultForest.70.3.03
  45. Oliveira, A., Calili, R., Almeida, M. F., & Sousa, M. (2019). A systemic and contextual framework to define a country’s 2030 agenda from a foresight perspective. Sustainability, 11(22), 6360. https://doi.org/10.3390/su11226360
  46. Özgüven, A. (1987). İktisadi büyüme ve iktisadi kalkınma. İstanbul Üniversitesi İktisat Fakültesi Mecmuası, 45(1-4).
  47. Özgüven, A. (1988). İktisadi büyüme, iktisadi kalkınma, sosyal kalkınma, planlama ve Japon kalkınması. Filiz Kitabevi.
  48. Petrovic, N., Jovanovic, V., Markovic, S., Marinkovic, D., & Petrovic, M. (2024). Multicriteria sustainability assessment of transport modes: A European Union case study for 2020. Journal of green economy and low- carbon development, 3(1), 36-44. https://doi.org/10.56578/jgelcd030104
  49. Puška, A., Božanić, D., Mastilo, Z., & Pamučar, D. (2023). Extension of MEREC-CRADIS methods with double normalization-case study selection of electric cars. Soft Computing, 27(11), 7097-7113. https://doi.org/10.1007/s00500-023-08054-7
  50. Puška, A., Božanić, D., Štilić, A., Nedeljković, M., & Khalilzadeh, M. (2025). Application of Fuzzy-Rough Methodology to the selection of electric tractors for small farms in Semberija. Journal of Fuzzy Extension and Applications,6(4), 651-668. https://doi.org/10.22105/jfea.2025.482890.1663
  51. Puška, A., Nedeljković, M., Pamučar, D., Božanić, D., & Simić, V. (2024). Application of the new simple weight calculation (SIWEC) method in the case study in the sales channels of agricultural products. MethodsX, 13, 102930. https://doi.org/10.1016/j.mex.2024.102930
  52. Puška, A., Štilić, A., Pamučar, D., Božanić, D., & Nedeljković, M. (2024). Introducing a novel multi-criteria Ranking of Alternatives with Weights of Criterion (RAWEC) model. MethodsX, 102628. https://doi.org/10.1016/j.mex.2024.102628
  53. Rana, V. S., Singh, R. K., Mathur, N., Bisht, Y. S., & Arya, M. K. (2023). A Selection of renewable energy using Three-Phase Hybrid Fuzzy Model to attain sustainable development goals. ICMech-REC 23, Singapore, 1, 55-67. https://doi.org/10.1007/978-981-97-0918-2_5
  54. Rao, R. V., & Patel, B. K. (2010). A subjective and objective integrated multiple attribute decision making method for material selection. Materials & Design, 31(10), 4738-4747. https://doi.org/10.1016/j.matdes.2010.05.014
  55. Sandra, M., Narayanamoorthy, S., Suvitha, K., Pamucar, D., Simic, V., & Kang, D. (2025). An insightful multicriteria model for the selection of drilling technique for heat extraction from geothermal reservoirs using a fuzzy-rough approach. Information Sciences, 686, 121353. https://doi.org/10.1016/j.ins.2024.121353
  56. Senir, G. (2024). OECD Ülkelerinin sürdürülebilir yönetim performansının değerlendirilmesi. Karadeniz Sosyal Bilimler Dergisi, 16(30), 144-165. https://doi.org/10.38155/ksbd.1384169
  57. Shamsi, M., Zakerinejad, M., & Zareifard, M. R. (2025). Optimal, reliable, and sustainable technology selection for mining overburden waste utilization using green & climate-smart mining (GCSM): A hybrid fuzzy multi-criteria decision-making tool. Journal of Environmental Chemical Engineering, 13(3), 116118. https://doi.org/10.1016/j.jece.2025.116118
  58. Sharma, S. K., Mahapatra, S. S., & Parappagoudar, M. B. (2016). Benchmarking of product recovery alternatives in reverse logistics. Benchmarking: An International Journal, 23(2), 406-424. https://doi.org/10.1108/BIJ-01-2014-0002
  59. Sharma, N., Kumar, R., Vihari, N. S., Arora, M., & Saini, J. R. (2025). Prioritizing smart city themes for multi-national enterprises and United Nations Sustainable Development Goals. Sustainability, 17(10), 4251. https://doi.org/10.3390/su17104251
  60. Seikh, M. R., & Chatterjee, P. (2025). Sustainable strategies for electric vehicle adoption: A confidence level-based interval-valued spherical fuzzy MEREC-VIKOR approach. Information Sciences, 699, 121814. https://doi.org/10.1016/j.ins.2024.121814
  61. Soltani, A., & Imani, M. A. (2024). Overcoming implementation barriers to renewable energy in developing nations: A case study of Iran using MCDM techniques and Monte Carlo simulation. Results in Engineering, 24, 103213. https://doi.org/10.1016/j.rineng.2024.103213
  62. Stanujkic, D., Popovic, G., Zavadskas, E. K., Karabasevic, D., & Binkyte-Veliene, A. (2020). Assessment of progress towards achieving Sustainable Development Goals of the “Agenda 2030” by using the CoCoSo and the Shannon Entropy methods: The case of the EU Countries. Sustainability, 12(14), 5717. https://doi.org/10.3390/su12145717
  63. Toslak, M., Aktürk, B., & Ulutaş, A. (2022). MEREC ve WEDBA yöntemleri ile bir lojistik firmasının yıllara göre performansının değerlendirilmesi. Avrupa Bilim ve Teknoloji Dergisi, (33), 363-372. https://doi.org/10.31590/ejosat.1041106
  64. Toslak, M., Ulutaş, A., Üre, S., & Stević, Ž. (2023). Selection of peanut butter machine by the integrated PSI-SV-MARCOS method. International Journal of Knowledge-based and Intelligent Engineering Systems, 27(1), 73-86. https://doi.org/10.3233/KES-230044
  65. Ulutaş, A., Stanujkic, D., Karabasevic, D., Popovic, G., & Novaković, S. (2022). Pallet truck selection with MEREC and WISP-S methods. Strategic Management-International Journal of Strategic Management and Decision Support Systems in Strategic Management, 27(4). https://doi.org/10.5937/StraMan2200013U%20
  66. United Nations (2015). Transforming our world: The 2030 agenda for sustainable development. https://sdgs.un.org/2030agenda
  67. United Nations (1987). Report of the world commission on environment and development: Our common future. UN.
  68. Wang, Q., Cheng, T., Lu, Y., Liu, H., Zhang, R., & Huang, J. (2024). Underground mine safety and health: A hybrid MEREC–CoCoSo system for the selection of best sensor. Sensors, 24(4), 1285. https://doi.org/10.3390/s24041285
  69. Wang, Y. (2025). Comprehensive analysis of application of Multi-Criteria Decision-Making Methods with TreeSoft Set for teaching quality improvement of College English learning process. Neutrosophic Sets and Systems, 82, 562-577.
  70. Wątróbski, J. (2025). New multi-criteria approach to sustainable development assessment. Computational Science – ICCS 2025 Workshops, Singapore, 15910, 221-234. https://doi.org/10.1007/978-3-031-97567-7_18 World Commission on Environment and Development (1987). Our Common Future, Oxford University Press, Oxford.
  71. Yalçın, G. C., Limon, E. G., Kara, K., Limon, O., Gürol, P., Deveci, M., & Tomášková, H. (2025). A Hybrid decision support system for transport policy selection: A case study on Russia's Northern Sea Route in Artic region. Socio-Economic Planning Sciences, 102171. https://doi.org/10.1016/j.seps.2025.102171
  72. Yeni, O. (2014). Sürdürülebilirlik ve sürdürülebilir kalkinma: Bir yazin taramasi. Gazi Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 16(3), 181-208.
  73. Yenilmezel, S., & Ertuğrul, İ. (2023). Laptop selection with MEREC based WASPAS method. Business Economics and Management Research Journal, 6(1), 18-27. https://doi.org/10.58308/bemarej.1207859
  74. Zhang, R., Puška, A., Stević, Ž., & Zavadskas, E. K. (2025). A Novel Interval Type-2 Fuzzy MCDM Model for Evaluation of Suitable Systems of Renewable Sources from Financial and Sustainable Aspect. Economic Computation and Economic Cybernetics Studies and Research, 59(2),329-346. https://doi.org/10.24818/18423264/59.2.25.20