Approach to improving the effectiveness of managing the economic development of the regions of Russia on the example of the Chelyabinsk region

Introduction. Resumptive indicator “Gross Regional Product” (GRP) is a measure of the region’s economic development and, together with indicators of the other regions, forms “Gross Domestic Product”, which determines the country's economic development. In the article, we consider a model of increasing GRP by the boost of enterprises’ development. Aim. To design a mechanism dedicated to increase the efficiency of the regional economy by linking measures directed to develop regional enterprises with priorities of the Regional Development Strategy. For this, a model to aggregate financial reports of the enterprises into macroeconomic indicators of the region was developed. Materials and methods. We use simulation models of macroeconomic indicators of the region in conjunction with financial indicators of the enterprises. The analytical form of the mathematical model allows to pose and solve the inverse task of calculating the necessary values of the control parameters required to achieve the target level of GRP growth. To process the financial statistics of enterprises, a big data processing method is used. Results. The model, constructed in a matrix form, links the growth of GRP, financial reports of regional enterprises, and estimations of the increase in efficiency of the main financial and economic indicators. Using the example of the Chelyabinsk region, we calculated possible contribution to GRP with conservative assessments of improving the efficiency of regional enterprises. The developed model made it possible to assess the possibility of achievement of the target indicators of the regional development strategy. Conclusion. This approach allows to combine macro- and microeconomic approaches and to model a region as a multi-level system. The proposed model is typical and can be used to analyze and accelerate the development of any other region of the country.