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Approaches to Identifying, Measuring and Predicting Cluster Effects

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Listed:
  • A. A. Pankratov

    (Moscow State University)

  • R. A. Musaev

    (Moscow State University)

  • S. V. Badina

    (Plekhanov Russian University of Economics)

Abstract

— The article discusses modern approaches to measuring, evaluating and predicting cluster effects, proposes their classification, taking into account directly the effects of the activity of cluster formations, as well as effects outside the cluster formations—potential cluster effects. It offers an integral definition of the concept of “cluster effect,” the relationship of cluster effects with agglomeration effects is considered, and a methodology for assessing the potential of the socioeconomic environment of a region for the formation of clusters has been developed and tested.

Suggested Citation

  • A. A. Pankratov & R. A. Musaev & S. V. Badina, 2021. "Approaches to Identifying, Measuring and Predicting Cluster Effects," Studies on Russian Economic Development, Springer, vol. 32(3), pages 312-317, May.
    • Handle: RePEc:spr:sorede:v:32:y:2021:i:3:d:10.1134_s1075700721030114
    DOI: 10.1134/S1075700721030114
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    References listed on IDEAS

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    6. Stepan Zemtsov & Vera Barinova & Alexey Pankratov & Evgeniy Kutsenko, 2016. "Potential High-Tech Сlusters in Russian Regions: From Current Policy to New Growth Areas," Foresight-Russia Форсайт, CyberLeninka;Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский университет «Высшая школа экономики», vol. 10(3 (eng)), pages 34-52.
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