SIMULATION OF INDUSTRIAL POLICY PARAMETERS PROVIDED DISPARITIES
Background. Existing problems in the Russian economy, compounded by external sanctions, as well as problems of fuel and energy complex of the country will require the development of new conceptual approaches to industrial growth. With limited budgetary resources and the uneven regional development it is essential to mobilize all possible resources, including large holding structures. However, the uneven development of industries and territories requires the solution of the problem of formalizing the model field the most significant factors affecting the promotion of the establishment of industrial facilities in the regions of the depressive type. The aim of the article is to study the hypothesis of the model need a new concept of formation of industrial policy depressive region, taking into account the investment interests of the large companies with the necessary resource potential for the creation of industrial structures and the alignment of reproductive-effective industry-industrial-type structures. Materials and methods. In the article the possibility of modeling rassmtrivaetsya invariants interbranch flow of capital within the parameters of business reducing transport and energy costs. Used SFM («Specific-factors model»), which allows the presence of a third non-mobile (except "land" and "Capital"), a significant factor, in which the Heckscher-Ohlin theory of flow of capital are not observed. As the statistical material data Rosneft used to justify the investment project in the republic of Chechnya. Results. Calculations for conditions VIC "Rosneft" provided in this region, have shown that increasing the availability of energy networks by 15 % and reduction of electricity cost by 20 % will reduce business costs by 11 %, indicating that the investment attractiveness of raising projects to develop processing industries in Chechnya. Conclusions. Thus, these data support the hypothesis of a significant influence of several factors to reduce business costs and increase the investment attractiveness of projects for regions with developed transportation and energy infrastructure. The simulation results show the effectiveness of this approach and can be recommended for inclusion in the number of elements of industrial policy.