Моделирование производственной функции промышленного сектора экономики Пермского края
. In transition to a new high-tech way of economy, the technological and resource readiness of national and regional economic systems to build into a new model of functioning becomes essential. For that reason, the key objective of the study was to identify the factors that have the greatest impact on the development of the economy of the Perm Territory, assess the degree of influence of each of them and analyze the origin of the situation. The main tasks accomplished in the research process were: main socio-economic indicators of the Perm Territory for the period from 2005 to 2016 and the factors that influence their change were analyzed; with the help of econometric modeling, the existence of the relationship between the output of products, availability of fixed assets and the size of a payroll budget was proved, and consequently the statistically significant production function of the Perm Territory was constructed and the main indicators of the effectiveness of resource use in the production process were determined. As a methodological tool we used system, logical and statistical methods to analyze official information about national and regional socio-economic systems; economic-mathematical modeling was used to build the production function; and correlative regression analysis –to assess the reliability of the production function. The main findings of the study include the decline in certain socio-economic indicators for the Perm Territory, in particular the population, the number of employed, foreign trade turnover, etc. At the same time, labor productivity growth and high depreciation of fixed assets were revealed. Calculated with the production function, the efficiency of resource use confirmed the conclusion that the value of the aggregate product created in the production process is most influenced by the consumption of labor resources in the Perm Territory, which indicates the orientation of the labor market of Perm Territory to the predominant policy of exploiting labor resources. Applied value of the results of the work is aligned with the possibility of using the production function for further research, for example, forecasting the indicators for the socio-economic development of the region.