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Tracing Relationship between Cluster’s Performance and Transition to the Circular Economy

Author

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  • Kristina Razminienė

    (Department of Economics Engineering, Vilnius Gediminas Technical University, Saulėtekis av. 11, 10223 Vilnius, Lithuania)

  • Irina Vinogradova-Zinkevič

    (Department of Information Technologies, Vilnius Gediminas Technical University, Saulėtekis av. 11, 10223 Vilnius, Lithuania)

  • Manuela Tvaronavičienė

    (Department of Business Technologies and Entrepreneurship, Vilnius Gediminas Technical University, Saulėtekis av. 11, 10223 Vilnius, Lithuania)

Abstract

Clusters are defined as geographically close groups of organizations that work together to gain a competitive advantage. Clusters’ shared activities involve knowledge sharing, a common pool of resources, innovations, and cooperation. From a more advanced perspective, clusters can work in industrial symbiosis sharing resources, energy, water, and other products. Tendencies of recent research indicate the growing interest in shifting to an efficient use of resources and sustainable development through the circular economy (CE). Clusters can work as enablers of CE to achieve a competitive advantage. The purpose of this study is to trace the relationships between cluster performance and shifting to the CE indicators. Correlation analysis was used as a method to indicate the relationships between pairs of clusters’ performance and shifting to the CE indicators. The limitations of the research refer to the selection of the indicators as both concepts gain insights, although still debatable. The results show that 16 out of 25 cluster performance indicators were identified that have strong or moderate relationships among pairs while shifting to the CE indicators. These indicators are recommended to be included in observation, benchmarking, or evaluation of the clusters’ activities. They can be significant in monitoring the development of shifting to the CE or in combinations with other research areas.

Suggested Citation

  • Kristina Razminienė & Irina Vinogradova-Zinkevič & Manuela Tvaronavičienė, 2021. "Tracing Relationship between Cluster’s Performance and Transition to the Circular Economy," Sustainability, MDPI, vol. 13(24), pages 1-15, December.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:24:p:13933-:d:704255
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    References listed on IDEAS

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    Cited by:

    1. Vasyl HYK & Oleh VYSOCHAN & Olha VYSOCHAN, 2022. "Analysis of the relationship between the state of cluster development and sustainable growth: evidence from European countries," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 13, pages 246-262, December.
    2. Lovisa Harfeldt-Berg & Sarah Broberg & Karin Ericsson, 2022. "The Importance of Individual Actor Characteristics and Contextual Aspects for Promoting Industrial Symbiosis Networks," Sustainability, MDPI, vol. 14(9), pages 1-21, April.
    3. Marina Y. Sheresheva & Lilia A. Valitova & Elena R. Sharko & Ekaterina V. Buzulukova, 2022. "Application of Social Network Analysis to Visualization and Description of Industrial Clusters: A Case of the Textile Industry," JRFM, MDPI, vol. 15(3), pages 1-17, March.
    4. Lis, Anna Maria & Mackiewicz, Marta, 2023. "The implementation of green transformation through clusters," Ecological Economics, Elsevier, vol. 209(C).
    5. Iveta Šimberová & Antonín Korauš & David Schüller & Lenka Širáňová & Jarmila Straková & Jan Váchal, 2022. "Threats and Opportunities in Digital Transformation in SMEs from the Perspective of Sustainability: A Case Study in the Czech Republic," Sustainability, MDPI, vol. 14(6), pages 1-17, March.

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