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.
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Notes
The agglomeration effect is understood as the growth of economic efficiency due to the geographical concentration of economic activity [15].
Herfindahl-Hirschman Monopolization Index.
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This article was prepared with the financial support of the Russian Foundation for Basic Research (project no. 19-310-90081).
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Pankratov, A.A., Musaev, R.A. & Badina, S.V. Approaches to Identifying, Measuring and Predicting Cluster Effects. Stud. Russ. Econ. Dev. 32, 312–317 (2021). https://doi.org/10.1134/S1075700721030114
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DOI: https://doi.org/10.1134/S1075700721030114