Theoretical and Methodological Approaches to the Identification of Regional Clusters in the Context of Economic and Geographical Researc

Authors

  • S.A. Demyanov Polessky State University, Pinsk, Republic of Belarus

Keywords:

regional cluster, identification, cluster initiative, spatial clustering, factor analysis

Abstract

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.

Author Biography

S.A. Demyanov, Polessky State University, Pinsk, Republic of Belarus

Senior Lecturer at the Department of Marketing and International Management

References

Gehlke, C.E., Biehl, Katherine (March 1934). «Certain effects of grouping upon the size of the correlation coefficient in census tract material». Journal of the American Statistical Association. 29 (185A): 169-170.

Sturgeon, T.J. What really goes on in Silicon Valley? Spatial clustering and dispersal in modular production networks // Journal of Economic Geography. 2003. Vol. 3(2). P. 199–225.

Методические материалы по разработке и реализации программ развития инновационных территориальных кластеров и региональной кластерной политике / В.Л. Абашкин, Е.С. Куценко, П.Б. Рудник и др.; науч. ред. Л. М. Гохберг, А. Н. Клепач, П. Б. Рудник и др.; Минэкономразвития России, Нац. исслед. ун-т «Высшая школа экономики». – М. : НИУ ВШЭ, 2016. – 208 с.

Караева, Ф.Е. Формирование, идентификация и управление конкурентоспособностью регионального промышленного кластера : дисс. … д.э.н.: 08.00.05 / Ф.Е. Караева. Спб.: РГБ, 2014. – 323 с.

Изард, У. Методы регионального анализа: введение в науку о регионах / У. Изард. – М.: Прогресс, 1966. – 660 с.

Feser, E. J., Bergman, E. M. National industry cluster templates: A framework for applied regional cluster analysis // Regional Studies. 2000. – Vol. 34, №1. – P. 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. – 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 / M. E. Porter // Harvard Business Review. – 1998. – November–December. – P. 77-90.

Bergman, E.M. and Feser EJ. Industrial and Regional Clusters: Concepts and Comparative Applications, Regional Research Institute, WVU. 1999. Режим доступа: http://www.rri.wvu.edu/WebBook/Bergman-Feser/contents.htm. Дата доступа: 10.09.2020.

Feser, E. Old and New Theories of Industry Clusters, in Steiner, M. (ed) Clusters and Regional Specialization, Pion Limited, London. – 1998. – P. 18-40.

Feser, E.J., Bergman, E.M. National industry cluster templates: A framework for applied regional cluster analysis // Regional Studies. 2000. – Vol. 34, № 1. – P. 1–19.

Ковалева, Т.Ю. Алгоритм идентификации и оценки кластеров в экономике региона / Т.Ю. Ковалева // Вестник Пермского университета, 2011. – Вып. 4. – С. 30–39.

References

Gehlke C.E.; Biehl, Katherine (March 1934). «Certain effects of grouping upon the size of the correlation coefficient in census tract material». Journal of the American Statistical Association. 29 (185A): 169-170.

Sturgeon T.J. What really goes on in Silicon Valley? Spatial clustering and dispersal in modular production networks. Journal of Economic Geography. 2003. Vol. 3(2). pp. 199–225.

Abashkin V.L., Kutsenko Ye.S., Rudnik P.B.; nauch. red. L.M. Gokhberg, A.N. Klepach, P.B. Rudnik Metodicheskiye materialy po razrabotke i realizatsii programm razvitiya innovatsionnykh territorial'nykh klasterov i regional'noy klasternoy politike Minekonomrazvitiya Rossii, Nats. issled. un-t «Vysshaya shkola ekonomiki». M.: NIU VSHE, 2016, 208 p.

Karayeva F.Ye. Formirovaniye, identifikatsiya i upravleniye konkurentosposobnost'yu regional'nogo promyshlennogo klastera [Formation, identification and management of the competitiveness of a regional industrial cluster]. Abstract of Doctor´s degree dissertation. Spb.: RGB, 2014. 323 p. (In Russian)

Izard U. Metody regional'nogo analiza: vvedeniye v nauku o regionakh [Regional Analysis Methods: An Introduction to Regional Science]. M.: Progress, 1966, 660 p. (In Russian)

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.

Kovaleva T.Yu. Algoritm identifikatsii i otsenki klasterov v ekonomike regiona [Algorithm for identification and assessment of clusters in the regional economy] Vestnik Permskogo universiteta [Bulletin of Perm State University]. 2011, no. 4, pp. 30–39. (In Russian)

Published

2020-12-24

How to Cite

Демьянов, С. (2020). Theoretical and Methodological Approaches to the Identification of Regional Clusters in the Context of Economic and Geographical Researc. Economy and Banks, (2), 66-76. Retrieved from https://ojs.polessu.by/EB/article/view/1445

Issue

Section

Issues of regional economy