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Теоретико-методические основы идентификации потенциальных кластеров в региональной экономке

Теоретико-методические основы идентификации потенциальных кластеров в региональной экономке

Abstract

Рассматривается методический подход к идентификации потенциальных кластеров в региональной экономике. В этой методике используются элементы методических подходов к выявлению кластеров М. Портера в американской (в 1990 году) и канадской (в 1997 году) экономических системах, однако предложенная нами методика по ряду компонентов существенно от них отличается и поэтому содержит элементы научной новизны. Представленная методика апробирована в экономике регионов Центрального Черноземья России. В частности, для Белгородской области выявлены 36 видов экономической деятельности, на базе которых возможно формирование кластеров. Определены пять потенциальных кластеров, в которых задействовано 26,7% от общей численности занятых в экономике области: агропромышленный, добывающей, металлургической промышленностей, по производству машин и оборудования и строительный кластеры. Использование предложенной методики позволит более эффективно проводить кластерную политику в регионах.

The paper proposes method for identifying potential clusters in the regional economy. The method is based on the approach to the identification of clusters by M. Porter in U.S. (in 1990) and Canada (in 1997) economies. The presented method has been tested in the economy of the Central Black Soil regions of Russia. In particular, in Belgorod region we identified 36 types of economic activity, which could be integrated in clusters. It was Identified five potential clusters, which involved 26.7% of the total regional employment: agriculture, mining, metallurgy, production of machinery and equipment and building clusters. Using the proposed method will be useful for effective cluster policy in regions.

Keywords

іДЕНТИФіКАЦіЯ ПОТЕНЦіЙНИХ РЕГіОНАЛЬНИХ КЛАСТЕРіВ,РЕГіОНАЛЬНА ЕКОНОМіКА,ГЕОГРАФіЧНА КОНЦЕНТРАЦіЯ,ИДЕНТИФИКАЦИЯ ПОТЕНЦИАЛЬНЫХ РЕГИОНАЛЬНЫХ КЛАСТЕРОВ,РЕГИОНАЛЬНАЯ ЭКОНОМИКА,ГЕОГРАФИЧЕСКАЯ КОНЦЕНТРАЦИЯ,IDENTIFICATION OF POTENTIAL REGIONAL CLUSTERS,REGIONAL ECONOMICS,GEOGRAPHIC CONCENTRATION

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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