Clusters Analyses in Regional Statistics

12 Pages Posted: 12 Jun 2007

See all articles by Mariana-Elena Voineagu Balu

Mariana-Elena Voineagu Balu

Spiru Haret University

Felix Furtuna

Bucharest Academy of Economic Studies

Date Written: November 1, 2006


The concept of cluster is related to the spatial density of the economic organizations suggesting that there are some specialized industrial activities with a high degree of geographic concentration. Interdependent relations are developed among economic organizations included in the cluster, that lead to an increased labour productivity, enhancing their competitiveness on the market and the competitiveness of the area where they operate.

The statistical cluster analysis uses the method of minimum dispersion of hierarchical tree method, in order to obtain the information necessary to small and medium organizations and the regeneration of some declining areas or industries.

Territorial profile economic analyses can use the cluster analysis in order to make hierarchical classifications, according to performance, strategies.

The hierarchical tree methods consist in identifying certain hierarchies used to take into consideration the units. According to their organization mode, clusters can be: vertically integrated, horizontally integrated, emerging clusters.

Keywords: cluster, cluster analysis, vertically integrated clusters, horizontally integrated clusters, emerging clusters, minimum dispersion method of hierarchical tree classification

JEL Classification: C10

Suggested Citation

Balu, Mariana-Elena Voineagu and Furtuna, Felix, Clusters Analyses in Regional Statistics (November 1, 2006). Available at SSRN: or

Mariana-Elena Voineagu Balu (Contact Author)

Spiru Haret University ( email )

Splaiul Independentei no. 313
Sector 6

Felix Furtuna

Bucharest Academy of Economic Studies ( email )

6, Romana Square, District 1
Bucharest, 010374

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