Multi-criteria decision analysis of Circular Economy performance in the Baltic States: a comparative evaluation
DOI: https://doi.org/10.3846/jbem.2025.24717Abstract
This study embarks on a comparative evaluation of Circular Economy (CE) performance in the Baltic States (Latvia, Lithuania, and Estonia) using a robust multi-criteria decision-making (MCDM) framework. Drawing on 22 key indicators, the research applies the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to systematically rank the country-level CE implementation across five thematic dimensions: production and consumption, waste management, secondary raw materials, competitiveness and innovation, and global sustainability. The results reveal that Latvia ranks highest, followed by Lithuania and Estonia, underscoring significant differences in waste management efficiency, investment in CE sectors, and material self-sufficiency. The main contribution of this paper lies in the development of a comprehensive, quantitative benchmarking framework that integrates multiple CE indicators and MCDM methods to assess national performance in a data-driven manner. The methodology developed here can serve as a replicable model for CE assessment in other regional or national contexts.
Keywords:
Circular Economy, Baltic States, EUROSTAT, MCDM, TOPSIS, sustainability indicatorsHow to Cite
Share
License
Copyright (c) 2025 The Author(s). Published by Vilnius Gediminas Technical University.
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
References
Ahmadov, T., Gerstlberger, W., & Prause, G. K. (2022). Fiscal incentives for circular economy: Insights from the Baltic States. In V. Prokop, J. Stejskal, J. Horbach, & W. Gerstlberger (Eds.), Business models for the circular economy: A European perspective (pp. 219–239). Springer. https://doi.org/10.1007/978-3-031-08313-6_9
Alberich, J. P., Pansera, M., & Hartley, S. (2023). Understanding the EU’s circular economy policies through futures of circularity. Journal of Cleaner Production, 385, Article 135723. https://doi.org/10.1016/j.jclepro.2022.135723
Alevizos, V., Georgousis, I., & Kapodistria, A. (2023). Toward climate neutrality: A comprehensive overview of sustainable operations management, optimization, and wastewater treatment methods. Pollutants, 3(4), 521–543. https://doi.org/10.3390/pollutants3040036
Anselmi, D., D’Adamo, I., Gastaldi, M., & Lombardi, G. V. (2024). A comparison of economic, environmental and social performance of European countries: A sustainable development goal index. Environment, Development and Sustainability, 26(8), 20653–20677. https://doi.org/10.1007/s10668-023-03496-3
Arion, F. H., Aleksanyan, V., Markosyan, D., & Arion, I. D. (2023). Circular pathways to sustainable development: Understanding the links between circular economy indicators, economic growth, social well-being, and environmental performance in EU-27. Sustainability, 15(24), Article 16883. https://doi.org/10.3390/su152416883
Barišauskaitė, G., & Mikalauskienė, A. (2025). Economic and environmental factors determining carbon dioxide emissions in Lithuania. Transformations and Sustainability, 1(1), 1–11. https://doi.org/10.63775/t67saw86
Bathaei, A., Mardani, A., Baležentis, T., Awang, S. R., Streimikienė, D., Fei, G. C., & Zakuan, N. (2019). Application of fuzzy analytical network process (ANP) and VIKOR for the assessment of green agility critical success factors in dairy companies. Symmetry, 11(2), Article 250. https://doi.org/10.3390/sym11020250
Bathaei, A., & Štreimikienė, D. (2023a). Renewable energy and sustainable agriculture: Review of indicators. Sustainability, 15(19), Article 14307. https://doi.org/10.3390/su151914307
Bathaei, A., & Štreimikienė, D. (2023b). A systematic review of agricultural sustainability indicators. Agriculture, 13(2), Article 241. https://doi.org/10.3390/agriculture13020241
Bathaei, A., Bahramimianrood, B., & Awang, S. R. (2025). Blockchain-enabled circular economy: Rethinking waste management in global manufacturing. Transformations and Sustainability, 1(2), 118–131. https://doi.org/10.63775/1xwx6s13
Candan, G., & Cengiz Toklu, M. (2022). A comparative analysis of the circular economy performances for European Union countries. International Journal of Sustainable Development & World Ecology, 29(7), 653–664. https://doi.org/10.1080/13504509.2022.2084794
Cerchione, R., Morelli, M., Passaro, R., & Quinto, I. (2024). A critical analysis of the integration of life cycle methods and quantitative methods for sustainability assessment. Corporate Social Responsibility and Environmental Management, 23(2), 1508–1544. https://doi.org/10.1002/csr.3010
Chiang, W.-L., Zheng, L., Sheng, Y., Angelopoulos, A. N., Li, T., Li, D., Zhu, B., Zhang, H., Jordan, M., Gonzalez, J. E., & Stoica, I. (2024). Chatbot arena: An open platform for evaluating LLMs by human preference. ICML’24: Procedings of the 41st International Conference on Machine Learning, Article 331. ACM Digital Library.
Chioatto, E., & Sospiro, P. (2023). Transition from waste management to circular economy: The European Union roadmap. Environment, Development and Sustainability, 25, 249–276. https://doi.org/10.1007/s10668-021-02050-3
Coelho, E. (2022). Eurostat Database. In Encyclopedia of quality of life and well-being research (pp. 1–2). Springer. https://doi.org/10.1007/978-3-319-69909-7_944-2
Dey, P. K., Malesios, C., Chowdhury, S., Saha, K., Budhwar, P., & De, D. (2022). Adoption of circular economy practices in small and medium-sized enterprises: Evidence from Europe. International Journal of Production Economics, 248, Article 108496. https://doi.org/10.1016/j.ijpe.2022.108496
Gatto, A. (2023). Quantifying management efficiency of energy recovery from waste for the circular economy transition in Europe. Journal of Cleaner Production, 414, Article 136948. https://doi.org/10.1016/j.jclepro.2023.136948
Grybaitė, V., & Burinskienė, A. (2024). Assessment of Circular Economy development in the EU countries based on SAW method. Sustainability, 16(21), Article 9582. https://doi.org/10.3390/su16219582
Grybaitė, V., Stankevičienė, J., Lapinskienė, G., & Podvezko, A. (2022). Comparison of the environment of EU countries for sharing economy state by modern multiple criteria methods. Amfiteatru Economic, 24(59), 194–213. https://doi.org/10.24818/EA/2022/59/194
Gyani, J., Ahmed, A., & Haq, M. A. (2022). MCDM and various prioritization methods in AHP for CSS: A comprehensive review. IEEE Access, 10, 33492–33511. https://doi.org/10.1109/ACCESS.2022.3161742
Hoang, A. T., Varbanov, P. S., Nižetić, S., Sirohi, R., Pandey, A., Luque, R., Ng, K. H., & Pham, V. V. (2022). Perspective review on Municipal Solid Waste-to-energy route: Characteristics, management strategy, and role in circular economy. Journal of Cleaner Production, 359, Article 131897. https://doi.org/10.1016/j.jclepro.2022.131897
Kalpakchiev, T., Jacobs, B., Fraundorfer, M., Martin-Ortega, J., & Cordell, D. (2025). Creating an alternative governance for phosphorus circularity through framings that strengthen intersectoral policy coherence in the EU: Constraints and implementation possibilities. Sustainability, 17(4), Article 1478. https://doi.org/10.3390/su17041478
Karpavicius, T., & Balezentis, T. (2025). From energy islands to EU grid: Baltic progress through the lens of the Energy Trilemma Index during 2000–2023. Transformations and Sustainability, 1(1), 63–86. https://doi.org/10.63775/6j499032
Kaya, S. K., Ayçin, E., & Pamucar, D. (2023). Evaluation of social factors within the circular economy concept for European countries. Central European Journal of Operations Research, 31(1), 73–108. https://doi.org/10.1007/s10100-022-00800-w
Krisciukaitiene, I., & Bathaei, A. (2025). Developing a tailored sustainable supply chain framework for dairy SMEs in Lithuania using Best-Worst Method. Transformations and Sustainability, 1(1), 43–62. https://doi.org/10.63775/sv982x31
Lankauskienė, R., Simonaitytė, V., Gedminaitė-Raudonė, Ž., & Johnson, J. (2022). Addressing the European green deal with smart specialization strategies in the Baltic Sea region. Sustainability, 14(19), Article 11912. https://doi.org/10.3390/su141911912
Lehmann, C., Cruz-Jesus, F., Oliveira, T., & Damásio, B. (2022). Leveraging the circular economy: Investment and innovation as drivers. Journal of Cleaner Production, 360, Article 132146. https://doi.org/10.1016/j.jclepro.2022.132146
Lenzen, M., Geschke, A., West, J., Fry, J., Malik, A., Giljum, S., Milà i Canals, L., Piñero, P., Lutter, S., Wiedmann, T., Li, M., Sevenster, M., Potočnik, J., Teixeira, I., Voore, V. M., Nansai, K., & Schandl, H. (2022). Implementing the material footprint to measure progress towards Sustainable Development Goals 8 and 12. Nature Sustainability, 5, 157–166. https://doi.org/10.1038/s41893-021-00811-6
Mazur-Wierzbicka, E. (2021). Circular economy: Advancement of European Union countries. Environmental Sciences Europe, 33, Article 111. https://doi.org/10.1186/s12302-021-00549-0
Melles, G., Wölfel, C., Krzywinski, J., & Opeskin, L. (2022). Expert and diffuse design of a sustainable circular economy in two German circular roadmap projects. Social Sciences, 11(9), Article 408. https://doi.org/10.3390/socsci11090408
Mockus, A. (2025). Performance evaluation of exchange-traded funds in the US. Transformations and Sustainability, 1(2), 132–149. https://doi.org/10.63775/ypw2q026
Modic, D., Johnson, A., & Vučkovič, M. (2021). Towards measuring innovation for circular economy using patent data. In S. Jakobson, T. Lauvås, F. Quatraro, E. Rasmussen, & M. Steinmo (Eds.), Research handbook of innovation for a Circular Economy (pp. 265–276). Edward Elgar Publishing. https://doi.org/10.4337/9781800373099.00032
Mohammed, M., Shafiq, N., Elmansoury, A., Al-Mekhlafi, A.-B. A., Rached, E. F., Zawawi, N. A., Haruna, A., Rafindadi, A. D., & Ibrahim, M. B. (2021). Modeling of 3R (reduce, reuse and recycle) for sustainable construction waste reduction: A partial least squares structural equation modeling (PLS-SEM). Sustainability, 13(19), Article 10660. https://doi.org/10.3390/su131910660
Nafei, A., Azizi, S. P., Edalatpanah, S. A., & Huang, C.-Y. (2024). Smart TOPSIS: A neural network-driven TOPSIS with neutrosophic triplets for green supplier selection in sustainable manufacturing. Expert Systems with Applications, 255, Article 124744. https://doi.org/10.1016/j.eswa.2024.124744
Nowak, M. J., Mitrea, A., Lukstiņa, G., Petrişor, A.-I., Kovács, K. F., Simeonova, V., Yanchev, P., Jürgenson, E., Põdra, K., Řezáč, V., Mikalauskaitė, K., Pranevičienė, B., Ladzianska, Z., & Baloga, M. (2023). Spatial planning systems in Central and Eastern European countries: Review and comparison of selected issues. Springer. https://doi.org/10.1007/978-3-031-42722-0
Panchal, R., Singh, A., & Diwan, H. (2021). Does circular economy performance lead to sustainable development? – A systematic literature review. Journal of Environmental Management, 293, Article 112811. https://doi.org/10.1016/j.jenvman.2021.112811
Polat, E. G., Yücesan, M., & Gül, M. (2023). A comparative framework for criticality assessment of strategic raw materials in Turkey. Resources Policy, 82, Article 103511. https://doi.org/10.1016/j.resourpol.2023.103511
Rađenović, Ž. J., & Rajić, M. N. (2024). Assessing Circular Economy performances of selected countries using Mcdm methods: Promethee vs. CoCoSo. In U. Tanveer, S. Ishaq, T. Huy, & T. Hoang (Eds.), Navigating the circular age of a sustainable digital revolution (pp. 59–90). IGI Global. https://doi.org/10.4018/979-8-3693-2827-9.ch003
Rai, S. S., Rai, S., & Singh, N. K. (2021). Organizational resilience and social-economic sustainability: COVID-19 perspective. Environment, Development and Sustainability, 23, 12006–12023. https://doi.org/10.1007/s10668-020-01154-6
Rashid, S., & Malik, S. (2023). Transition from a linear to a Circular Economy. In S. A., Bandh, F. A. Malla, & A. T. Hoang (Eds.), Renewable energy in Circular Economy (pp. 1–20). Springer. https://doi.org/10.1007/978-3-031-42220-1_1
Reis, D. C., De Domenico, A. T., Lopes, L., & Almeida, M. (2023). Strategies and actions for achieving carbon neutrality in Portuguese residential buildings by 2050. Sustainability, 15(21), Article 15626. https://doi.org/10.3390/su152115626
Rene, E. R., Sethurajan, M., Ponnusamy, V. K., Kumar, G., Dung, T. N. B., Brindhadevi, K., & Pugazhendhi, A. (2021). Electronic waste generation, recycling and resource recovery: Technological perspectives and trends. Journal of Hazardous Materials, 416, Article 125664. https://doi.org/10.1016/j.jhazmat.2021.125664
Rincón-Moreno, J., Ormazábal, M., Álvarez, M., & Jaca, C. (2021). Advancing circular economy performance indicators and their application in Spanish companies. Journal of Cleaner Production, 279, Article 123605. https://doi.org/10.1016/j.jclepro.2020.123605
Rizos, V., & Bryhn, J. (2022). Implementation of circular economy approaches in the electrical and electronic equipment (EEE) sector: Barriers, enablers and policy insights. Journal of Cleaner Production, 338, Article 130617. https://doi.org/10.1016/j.jclepro.2022.130617
Silva, L. S., Najjar, M. K., Stolz, C. M., Haddad, A. N., Amario, M., & Boer, D. T. (2024). Multiple dimensions of energy efficiency of recycled concrete: A systematic review. Energies, 17(15), Article 3809. https://doi.org/10.3390/en17153809
Sousa, M., Almeida, M. F., & Calili, R. (2021). Multiple criteria decision making for the achievement of the UN sustainable development goals: A systematic literature review and a research agenda. Sustainability, 13(8), Article 4129. https://doi.org/10.3390/su13084129
Strapchuk, O., Koniordos, M., Strapchuk, S., & Nitsenko, V. (2025). Sustainable business models in the digital transformation of higher education: Evidence from Ukraine. Transformations and Sustainability, 1(2), 87–99. https://doi.org/10.63775/hsfgga88
Streimikienė, D., & Bathaei, A. (2025). Evaluating and ranking quality education for sustainable development in the Baltic States: A multi-criteria decision-making approach using Eurostat data. Transformations and Sustainability, 1(1), 12–29. https://doi.org/10.63775/vq29r460
Streimikis, J. (2025). Comparative assessment of circular economy performance in the Baltic States using MCDM methods. Transformations and Sustainability, 1(1), 30-42. https://doi.org/10.63775/pcxj8p61
Streimikis, J., Bathaei, A., & Štreimikienė, D. (2024a). Sustainability assessment of the agriculture sector using best worst method: Case study of Baltic states. Sustainable Development, 32(5), 5611–5626. https://doi.org/10.1002/sd.2993
Streimikis, J., Štreimikienė, D., Bathaei, A., & Bahramimianrood, B. (2024b). Green supplier selection using advanced multi-criteria decision-making tools. Information, 15(9), Article 548. https://doi.org/10.3390/info15090548
Štreimikienė, D., Bathaei, A., & Streimikis, J. (2024). MCDM approaches for supplier selection in sustainable supply chain management. Sustainability, 16(23), Article 10446. https://doi.org/10.3390/su162310446
Topliceanu, L., Puiu, P. G., Drob, C., & Topliceanu, V. V. (2022). Analysis regarding the implementation of the circular economy in Romania. Sustainability, 15(1), Article 333. https://doi.org/10.3390/su15010333
Uddin, M. S., Mahmud, K., Mitra, B., Hridoy, A.-E. E., Rahman, S. M., Shafiullah, M., Alam, M. S., Hossain, M. I., & Sujauddin, M. (2023). Coupling nexus and circular economy to decouple carbon emissions from economic growth. Sustainability, 15(3), Article 1748. https://doi.org/10.3390/su15031748
Ūsas, J., Balezentis, T., & Streimikiene, D. (2025). Development and integrated assessment of the circular economy in the European Union: The outranking approach. Journal of Enterprise Information Management, 38(1), 243–260. https://doi.org/10.1108/JEIM-11-2020-0440
Wang, Y., He, Y., & Gao, X. (2025). Synergizing renewable energy and circular economy strategies: Pioneering pathways to environmental sustainability. Sustainability, 17(5), Article 1801. https://doi.org/10.3390/su17051801
Yildizbasi, A., & Arioz, Y. (2022). Green supplier selection in new era for sustainability: A novel method for integrating big data analytics and a hybrid fuzzy multi-criteria decision making. Soft Computing, 26, 253–270. https://doi.org/10.1007/s00500-021-06477-8
Zappala, G. (2023). Adaptation, beliefs, and impacts: Essays on the economics of climate [Doctoral dissertation, Université Panthéon-Sorbonne-Paris I]. https://theses.hal.science/tel-04777447/file/ZAPPALA_diffusion.pdf
Zhang, Y., & Dilanchiev, A. (2022). Economic recovery, industrial structure and natural resource utilization efficiency in China: Effect on green economic recovery. Resources Policy, 79, Article 102958. https://doi.org/10.1016/j.resourpol.2022.102958
Zhao, D.-Y., Ma, Y.-Y., & Lin, H.-L. (2022). Using the entropy and TOPSIS models to evaluate sustainable development of Islands: A case in China. Sustainability, 14(6), Article 3707. https://doi.org/10.3390/su14063707
View article in other formats
Published
Issue
Section
Copyright
Copyright (c) 2025 The Author(s). Published by Vilnius Gediminas Technical University.
License
This work is licensed under a Creative Commons Attribution 4.0 International License.