Tracing Relationship between Cluster’s Performance and Transition to the Circular Economy
| Autor: | Manuela Tvaronaviciene, Irina Vinogradova-Zinkevič, Kristina Razminienė |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
sustainable development
competitiveness Environmental effects of industries and plants Renewable Energy Sustainability and the Environment circular economy Geography Planning and Development TJ807-830 cluster correlation indicators relationships Management Monitoring Policy and Law TD194-195 Renewable energy sources Environmental sciences GE1-350 |
| Zdroj: | Sustainability, Vol 13, Iss 13933, p 13933 (2021) Sustainability; Volume 13; Issue 24; Pages: 13933 |
| ISSN: | 2071-1050 |
| DOI: | 10.3390/su132413933 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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