Abstract
Purpose The purpose of the article is to identify the strategic parameters of industrial clustering in regions and to evaluate such parameters in terms of the region’s economic and social development. Design/Methodology/Approach Industrial clustering in regions meets various problems, the identification, and elimination of which should become the basis of cluster policy at both the regional and the national levels. At the same time, the strategic aspects of industrial clustering in regions have not been sufficiently explored. The authors’ study has found that various views and approaches to effective industrial clustering in regions need to be carefully examined and systematized. Findings In the article, it has been shown that the strategic parameters of industrial clustering in regions include the following: the region enterprises investment attractiveness level, the level of the region enterprises innovative activity, the total R&D investments in the region, the level of support for entrepreneurship in the region, the region industrial population size and the level of clusters support. The methodology assessing the strategic parameters of industrial clustering is proposed, using which makes it possible to rank regions in terms of cluster support and to emphasize the relationship of industrial clustering and economic and social situation in regions. Originality/Value The use of the proposed methodology assessing the strategic parameters of industrial clustering in regions could allow public authorities to evaluate the quality of regional management and to improve the tools of cluster support in regions. The assessing results can be used to identify the problems of industrial clustering in regions and to carry out targeted activities to cluster support and development.
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Patrusheva, E.G., Raikhlina, A.V., Tumanov, D.V., Karasev, A.P. (2022). The Problems of Industrial Clustering in Region Strategy Development. In: Popkova, E.G. (eds) Business 4.0 as a Subject of the Digital Economy. Advances in Science, Technology & Innovation. Springer, Cham. https://doi.org/10.1007/978-3-030-90324-4_63
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