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Cluster presence and economic performance: a new look based on European data

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  • Christian Ketels
  • Sergiy Protsiv

Abstract

This paper takes a fresh empirical look at how cluster presence matters for economic performance. It analyses a new data set developed for the European Cluster Observatory to assess the impact of clusters on industry-level wages and regional prosperity. It is found that industry-level wages are associated with industry- and surrounding-cluster agglomeration levels to a similar degree. For regional prosperity, cluster portfolio strength is found to matter, while the specific mix of clusters is insignificant once business environment conditions are accounted for. The data show a meaningful relationship between clusters and economic outcomes, independent of other locational qualities.

Suggested Citation

  • Christian Ketels & Sergiy Protsiv, 2021. "Cluster presence and economic performance: a new look based on European data," Regional Studies, Taylor & Francis Journals, vol. 55(2), pages 208-220, February.
    • Handle: RePEc:taf:regstd:v:55:y:2021:i:2:p:208-220
    DOI: 10.1080/00343404.2020.1792435
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    Cited by:

    1. James Wilson & Emily Wise & Madeline Smith, 2022. "Evidencing the benefits of cluster policies: towards a generalised framework of effects," Policy Sciences, Springer;Society of Policy Sciences, vol. 55(2), pages 369-391, June.
    2. Fried, Travis & Goodchild, Anne, 2023. "E-commerce and logistics sprawl: A spatial exploration of last-mile logistics platforms," Journal of Transport Geography, Elsevier, vol. 112(C).
    3. Reinhold Kosfeld & Timo Mitze, 2023. "Research and development intensive clusters and regional competitiveness," Growth and Change, Wiley Blackwell, vol. 54(4), pages 885-911, December.
    4. Xie, Xiaoyu & Wang, Chunjuan, 2024. "Productive services agglomeration: An accelerator of manufacturing servitization output?," Finance Research Letters, Elsevier, vol. 62(PB).
    5. Ye Liu & Yiyun Wu & Xiwei Zhu, 2024. "Industrial clusters and carbon emission reduction: evidence from China," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 73(2), pages 557-597, August.
    6. Venera Timiryanova & Dina Krasnoselskaya & Natalia Kuzminykh, 2022. "Applying the Multilevel Approach in Estimation of Income Population Differences," Stats, MDPI, vol. 6(1), pages 1-32, December.

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