Theoretical and Methodological Approaches to the Identification of Regional Clusters in the Context of Economic and Geographical Researc
Keywords:
regional cluster, identification, cluster initiative, spatial clustering, factor analysisAbstract
This article is devoted to the identification of regional clusters based on the synthesis of economic and economic-geographical approaches. The problem of identifying regional clusters, taking into account the spatial factor, has been poorly studied in modern economic research; an unsolved problem is the problem of the variability of the units of the area of cluster structures. Revealing the methodological limitations of various approaches to the identification of regional clusters made it possible to build an algorithm for applying these methods with minimizing these limitations. The use of the MAUP methodology in identifying industrial concentration and agglomeration of industry makes it possible to determine a unique clustering threshold, taking into account the level of aggregation of territories. The article proposes a classification of methods for identifying regional clusters, taking into account the spatial factor MAUP. The proposed economic-geographical method for identifying regional clusters includes factor analysis of industry in the sectoral context. The interpretation of the results of the analysis of national, regional and sectoral factors in changes in the values of variables is considered. The author proposes a typology of industries based on the ratio of RS and IM indicators and an algorithm for constructing a map of cluster components. The text describes the method developed by the author for assessing spatial clustering and determining a unique clustering threshold for different levels of aggregation of territories, which allows us to determine the geographical boundaries of clusters.
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Feser, E. J., Bergman, E. M. National industry cluster templates: A framework for applied regional cluster analysis. Regional Studies. 2000, vol. 34, no1, pp. 1-19.
Openshaw S. The modifiable areal unit problem. Concepts and Techniques in Modern Geography. 1984, vol. 38.
Rey Sergio J., Mattheis Danial J. Identifying Regional Industrial Clusters in California. Volume I, Department of Geography, San Diego State University, 200 p.
Duranton Gilles; Overman, Henry G. (2005): Testing for Localization Using Micro-Geographic Data. In: Review of Economic Studies 72, pp. 1077–1106.
Krugman P. Development, geography and economic theory. Cambridge: MIT Press, 1995, 127 p.
Porter, M.E. Clusters and the New Economics of Competition . Harvard Business Review, 1998. November–December, pp. 77-90.
Bergman E.M. and Feser EJ. Industrial and Regional Clusters: Concepts and Comparative Applications, Regional Research Institute, WVU. 1999. Available at: http://www.rri.wvu.edu/WebBook/Bergman-Feser/contents.htm. (accessed: 10.09.2020).
Feser E. Old and New Theories of Industry Clusters, in Steiner, M. (ed.) Clusters and Regional Specialization, Pion Limited, London. 1998, pp. 18-40.
Feser E. J., Bergman, E. M. National industry cluster templates: A framework for applied regional cluster analysis. Regional Studies. 2000, vol. 34, no1, pp. 1-19.
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