TIME DESCRIPTION OF ECONOMIC REFORMS

This article is devoted to the study of economic and geographical approaches to cluster identification at the regional level. Most modern research on the identification of regional clusters is aimed at studying economic aspects, almost completely ignoring geospatial factors. The aim of the research is to analyze economic and geographical approaches to the identification of clusters at the regional level, taking into account the problem of variability of area units. The subject of the research is the study of approaches to the identification of clusters at the regional level. The study used such methods as: comparative, statistical, descriptive, systemic, analysis and synthesis. Research hypothesis. Identifying methodological limitations of cluster identification methods at the regional level in the context of economic and geographical approaches will allow a more comprehensive consideration of the cluster potential of the territory, determine the confidence interval and identify cluster structures at different levels of aggregation. The statement of basic materials. This article considers economic and economic-geographical methodological approaches to the identification of regional clusters (model of intersectoral balance, multi-sector analysis, localization and specialization coefficients, Ellison-Glaser index, Duranton-Overman method of the smallest distances, Propulsive indicators, etc.); the classification of methods of identification of regional clusters which take into account aggregation of territories is given; the technique of primary estimation of cluster potential of the territory and typology of industries on a parity of regional and branch conditions of development is offered; the index of spatial clustering is analyzed. The originality and practical significance of the research is due to the geospatial factors of clustering (MAUP) in the identification of regional clusters, which allows to determine the geographical boundaries and the unique clustering threshold for clusters at different levels of aggregation. Analysis of economic and geographical approaches to the identification of regional clusters taking into account the geospatial aspects of clustering allows to determine the degree of concentration / dispersion at certain intervals of distances with justification of clustering thresholds at different levels of aggregation. Conclusions and perspectives of further research. The economic-geographical approach to the identification of regional clusters, in contrast to the economic one, takes into account the MAUP factor, which allows to use it at different levels of aggregation and to determine geographical boundaries and a unique clustering threshold. However, further research is needed on methods for identifying regional clusters in order to develop an integrated approach that will take into account as many factors as possible and allow the most accurate identification of potential cluster formations.

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