Approaches for estimating the degree of depression of a territory (a region)

Anna Chechel, Sergei Konoplyov


This study focuses on the definition of regions in post-industrial areas (Old Industrial Cities) and the method of cluster analysis as the technique for estimating the degree of depression of a coal region.

At times of global economic crisis, it makes sense to study the economic experience of depressed regions, dominated by mono product economies, in order to assess ways to overcome the consequences of the crisis.


post-industrial coal area; the degree of depression; cluster analysis; indicators of development areas


Bandman M. K., Burmatova O. P., Vorobiova V. V., Ionova V. D., Klistorin V. I., Kriger V. E., Malinoskaya M. A., Malov Y. V., Suspitsin S. A. (1988), Structure and Content of Typical Conditions of the Regional Mesomodel, Territorial Production Complexes: Pre-Planning Research, Chapter 2, Nauka, Sibirean Branch, Novosibirsk, pp. 35-48.

Marshalova A. S., Guzner S. S. (2002), Experience of Implementation of Regional Projects in Social Region: Problems of Planning and Managemen, Novosibirsk, pp. 235-363.

Sitro K.A., Yagolnitser М. А. (2002), The Role of Mineral Stock Sector in Russian Economy, ECO, 7, P. 89.

Tatarkin A. I., Tatarkin D. A. (2009), International Financial Crisis and the Possibilities of Real Sector of Russian Economy, Economy and Taxe, 3, pp. 77-96.

Tsvetkova S. N. (2008), Coal Mining Region in Post-Restructuration Period, Region: Economy and Social Science, 3, p. 26.

GOST Style Citations

ISSN 1728-9343 (Print)

ISSN 2411-3093 (Online)