MODELING THE DEVELOPMENT OF THE REGIONAL ECONOMY: STATIC AND DYNAMIC APPROACH

The article is devoted to the design and construction of the macroeconomic static model, in which the economy is considered as an integral unstructured unit to the input of which the resources come, and the output is the result of the functioning of the economy in the form of the gross regional product. Resources are considered to be arguments, and gross output - a function. Modelling performed using production functions as an example of the Volga Federal District of the Russian Federation. To construct the models, we selected macro-economic indicators such as gross regional product, the value of fixed assets, the population, the labor force employed in the economy, the number of economically active population. Models are built in current and constant prices, taking into account (and without) technical progress. As an alternative to the macro models for the region economy via the production functions the article considers simulation models, highlights the main advantages and disadvantages of the method, analyzes the existing approaches and the constructed models, compares the results and draws conclusions about the applicability of simulation models. On the basis of this study there are assumptions about the future usage of simulation modeling and macroeconomic static models for forecasting of socio-economic development of the region. During crisis and unstable economic development management decisions are characterized by high dynamism, complexity, multi-dimensionality and the presence of overlapping flows of control actions. Clarity, efficiency, completeness, consistency and scientific validity of decisions taken at the regional level is the key to development of the territory. In this regard, the study of socio-economic development of the region becomes especially important.