| Title | Clusters in Transition to Circular Economy: Evaluation of Relation |
|---|---|
| ID_Doc | 500 |
| Authors | Razminiene, K; Vinogradova, I; Tvaronaviciene, M |
| Title | Clusters in Transition to Circular Economy: Evaluation of Relation |
| Year | 2021 |
| Published | Acta Montanistica Slovaca, 26, 3 |
| Abstract | Researchers tend to develop cluster studies when the ways of turning to the circular economy are considered. Clusters are viewed as a network where different institutions, enterprises, and research centres are connected to share their knowledge and resources for better results of their performance. Efficient use of resources can be achieved in such networks through involvement in the circular economy. Clusters with their resources and knowledge as contributors in transition to a circular economy are analysed in this paper. The paper aims at literature analysis where clusters and circular economy are overviewed. The links between these two notions are traced, and the relation of clusters in transition to a circular economy is verified through the application of several multi criteria decision-making and mathematics-based information analysis methods. Scientific literature analysis works for the identification of the main concepts and definition of the object. The qualitative and quantitative analysis employs multi-criteria decision making (MCDM) methods (SAW, TOPSIS) and regression analysis. A tool that enables verification of relation between clusters and transition to the circular economy was employed using these methods. The findings suggest that the tool used in the research can be applied when the relation of clusters and transition to a circular economy is being traced. The paper suggests experts' selection through their work experience with clusters and/or circular economy and their evaluation for certain clusters in transition to a circular economy set of criteria. The zero values of some indicators were eliminated by mathematically recalculating the weights so that distortion of the results after the application of MCDM methods is avoided. The results of MCDM methods application in regression analysis show that there is a possible relationship between clusters and transition to a circular economy. |
| https://doi.org/10.46544/ams.v26i3.06 |
Similar Articles
| ID | Score | Article |
|---|---|---|
293
|
Razminiene, K Circular economy in clusters' performance evaluation(2019)Equilibrium-Quarterly Journal Of Economics And Economic Policy, 14, 3 | |
| 2668
|
Razminiene, K; Vinogradova-Zinkevi; Tvaronaviciene, M Tracing Relationship between Cluster's Performance and Transition to the Circular Economy(2021)Sustainability, 13, 24 | |
| 961
|
Grzeskowiak, A; Peternek, P A Multivariate Approach to Evaluation of Advancement to Circular Economy in European Union Countries(2020) | |
| 2090
|
Gonçalves, PVD; Campos, LMS A systemic review for measuring circular economy with multi-criteria methods(2022)Environmental Science And Pollution Research, 29, 21 | |
| 420
|
Razminiene, K; Tvaronaviciene, M Detecting The Linkages Between Clusters And Circular Economy(2018)Terra Economicus, 16, 4 | |
| 1354
|
Lahane, S; Prajapati, H; Kant, R Emergence of circular economy research: a systematic literature review(2021)Management Of Environmental Quality, 32, 3 | |
| 20139
|
Franco, NG; Almeida, MFL; Calili, RF A strategic measurement framework to monitor and evaluate circularity performance in organizations from a transition perspective(2021) | |
| 1459
|
Oliveira, PSPC; Ferreira, FAF; Dabic, M; Ferreira, JJM; Ferreira, NCMQF Analyzing the causal dynamics of circular-economy drivers in SMES using interpretive structural modeling(2024) | |
| 1731
|
Guarnieri, P; Silva, LCE; Haleem, F; Bianchini, A; Rossi, J; Wæhrens, BV; Farooq, S; Reyes, E; Reis, ALN; Vieira, BD How Can We Measure the Prioritization of Strategies for Transitioning to a Circular Economy at Macro Level? A New Approach(2023)Sustainability, 15, 1 | |
| 28208
|
Carreira, RJ; Ferreira, JV; Ramos, AL The Consumer's Role in the Transition to the Circular Economy: A State of the Art Based on a SLR with Bibliometric Analysis(2023)Sustainability, 15.0, 20 |