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


  • Anna Chechel Donetsk State University of Management, Ukraine
  • Sergei Konoplyov Harvard Kennedy School, United States



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


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.

Author Biographies

Anna Chechel, Donetsk State University of Management

Associate Professor

Sergei Konoplyov, Harvard Kennedy School

PhD, Director, Executive Education Programs at Harvard University


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.



How to Cite

Chechel, A., & Konoplyov, S. (2014). Approaches for estimating the degree of depression of a territory (a region). Skhid, (6(126), 180–185.