Clustering methodology of the Russian Federation regions with account of sectoral structure of GRP

The methodology to identify similar groups of Russian regions is presented, each of which has its own model of productive capacity, which determines the dependence of the GRP from the fixed assets and number of employees. It is carried out to test the hypothesis that the parameters of the functions describing the production potential of the regions included in the different groups, different by reason of the sectoral structure of GRP. The procedure for constructing the auxiliary integral indicators based on component analysis is offered, it is reflected the specialization of regions. Developed and tested on data for the period 2009–2013 algorithm of forming a similar group of regions. It is revealed the presence of a greater sensitivity to changes in GRP value of fixed assets for the group of regions with a specialization in mining and mixed type specialty than for groups of regions specializing in manufacturing and agriculture. At the same time, last two groups of regions and the group of regions with emerging economies are more sensitive to changes in the number of employees. The developed methodology is an element of forecasting procedures and planning options for sustainable socio-economic development of regions of the Russian Federation.