Statistic Analysis of Industrial Potential in the Russian Federation: A Regional Aspect

Abstract

At present the priority direction of the economy of the Russian Federation in conditions of import substitution is the development of its own industrial production. In developed countries, it accounts for a third of GDP. However, at the present stage of industrial development there are some challenges, including: volatility, reduction of the most important indicators of the efficiency of production, the slow improvement in the structure of industrial production and exports, quite high physical and moral deterioration of fixed assets, high cost of resources, etc. Today the policy of industrial development is based on a number of programs, the main objective of which is the increasing of the share of competitive domestic products on the domestic and global markets through the development of existing and creation of new industries. In the new economic conditions, when the industrial complex of Russia and its regions have to overcome the consequences of the economic crisis, the problem of the search of additional possibilities to ensure the sustainability of industrial enterprises and the complex as a whole on the basis of the effective use of the potential and resource components, is very actual. The solution to this problem is based on a comprehensive study of the industrial potential, emerging at different levels of the federal socio-economic system, construction of potential management systems adequate to the new market conditions and macro-economic benchmarks, as well as industrial policy at the regional level. The goal of this study is statistical evaluation of the industrial potential of regions of the Russian Federation. Achieving this goal involves the following tasks: -to consider approaches to the concept "industrial potential of the region"; - to implement a multi-dimensional classification of regions in terms of industrial development using the methods of cluster analysis; -to identified statistically significant factors influencing the level of industrial development in the regions using multivariate analysis methods; - to build multifactor regression models that allow to set a quantitative expression of relationships and dependencies of basic indicators of industrial production in view of their stochastic nature.

DOI: 10.5901/mjss.2015.v6n6s3p384