4 research outputs found
Economic Growth as an Essential Factor for Reducing the Energy Intensity of the Gross Regional Product
Creating regional programs for energy efficient development, policymakers rely on the targets of the Federal Energy Strategy, planning to reduce the energy intensity of gross regional product (GRP) by 40 % or more until 2035. Therefore, it is necessary to examine the validity of the set targets, as well as the limitations occur in the process of GRP energy intensity reduction. Based on the model calculations, the study investigates the possibilities and limitations of reducing GRP energy intensity in the Russian Federation in the period 2018 β 2035 on the example of the Samara region. The interrelated economic and energy models of the Samara region allowed calculating and testing the scenarios of regional energy efficient development. The analysis considered the targets of state energy saving and energy efficiency programmes, declared in the draft Energy Strategy of the Russian Federation until 2035. The research established that economic growth is essential for reducing GRP energy intensity. The increase in economic growth means its greater contribution to GRP energy intensity reduction. Economic growth reduces the energy intensity of GRP due to several reasons. They include savings from the increase in the production of goods and services; advanced growth of GRP economy compared to the growth of capital-intensive fuel and energy industry; growing lag between the amount of energy-consuming equipment of the population and the value of GRP. The example of the Samara region demonstrates that it is possible to reduce GRP energy intensity by 40 % in the period 2018β2035 only with an average annual economic growth of at least 5 %, including the implementation of all industrial energy saving and energy efficiency programmes stated in the Energy Strategy. The same conclusions are valid for the Russian economy in general. If the average annual development rate of the Russian economy is below 4 %-5 %, it will be impossible to reach the main target of the Energy Strategy of the Russian Federation until 2035, which is the reduction of energy intensity of the gross domestic product (GDP) in 2035 by 34 % compared to 2015. Public authorities can use the study results when developing strategic planning documents.Π Π°Π·ΡΠ°Π±ΠΎΡΡΠΈΠΊΠΈ ΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ
ΡΡΡΠ°ΡΠ΅Π³ΠΈΠΉ ΠΏΡΠΈ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΠΈ ΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ
ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌ ΡΠ½Π΅ΡΠ³ΠΎΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΠ³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΎΡΠΈΠ΅Π½ΡΠΈΡΡΡΡΡΡ Π½Π° ΡΠ΅Π»Π΅Π²ΡΠ΅ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΠΈ ΡΠ΅Π΄Π΅ΡΠ°Π»ΡΠ½ΠΎΠΉ ΡΠ½Π΅ΡΠ³Π΅ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΡΡΠ°ΡΠ΅Π³ΠΈΠΈ, ΠΏΠ»Π°Π½ΠΈΡΡΡ ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΠ΅ ΡΠ½Π΅ΡΠ³ΠΎΠ΅ΠΌΠΊΠΎΡΡΠΈ Π²Π°Π»ΠΎΠ²ΠΎΠ³ΠΎ ΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΏΡΠΎΠ΄ΡΠΊΡΠ° (ΠΠ Π) Π½Π° 40 % ΠΈ Π±ΠΎΠ»Π΅Π΅ Π΄ΠΎ 2035 Π³. ΠΠΎΠ·Π½ΠΈΠΊΠ°ΡΡ Π²ΠΎΠΏΡΠΎΡΡ, Π½Π°ΡΠΊΠΎΠ»ΡΠΊΠΎ ΠΎΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½Ρ ΡΡΠΈ ΡΠ΅Π»Π΅Π²ΡΠ΅ ΠΎΡΠΈΠ΅Π½ΡΠΈΡΡ ΠΈ ΠΊΠ°ΠΊΠΈΠ΅ ΠΎΠ³ΡΠ°Π½ΠΈΡΠ΅Π½ΠΈΡ Π²ΠΎΠ·Π½ΠΈΠΊΠ°ΡΡ Π½Π° ΠΏΡΡΠΈ ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΡ ΡΠ½Π΅ΡΠ³ΠΎΠ΅ΠΌΠΊΠΎΡΡΠΈ ΠΠ Π. Π ΡΡΠ°ΡΡΠ΅ Π½Π° Π±Π°Π·Π΅ ΠΌΠΎΠ΄Π΅Π»ΡΠ½ΡΡ
ΡΠ°ΡΡΠ΅ΡΠΎΠ² ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½Ρ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ ΠΈ ΠΎΠ³ΡΠ°Π½ΠΈΡΠ΅Π½ΠΈΡ ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΡ ΡΠ½Π΅ΡΠ³ΠΎΠ΅ΠΌΠΊΠΎΡΡΠΈ Π²Π°Π»ΠΎΠ²ΠΎΠ³ΠΎ ΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΏΡΠΎΠ΄ΡΠΊΡΠ° (ΠΠ Π) ΡΡΠ±ΡΠ΅ΠΊΡΠ° Π ΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ Π€Π΅Π΄Π΅ΡΠ°ΡΠΈΠΈ Π½Π° Π³ΠΎΡΠΈΠ·ΠΎΠ½ΡΠ΅ 2018β2035 Π³Π³. Π½Π° ΠΏΡΠΈΠΌΠ΅ΡΠ΅ Π‘Π°ΠΌΠ°ΡΡΠΊΠΎΠΉ ΠΎΠ±Π»Π°ΡΡΠΈ. Π Π°ΡΡΠ΅ΡΡ ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΠ»ΠΈΡΡ Π½Π° Π²Π·Π°ΠΈΠΌΠΎΡΠ²ΡΠ·Π°Π½Π½ΡΡ
ΠΌΠΎΠ΄Π΅Π»ΡΡ
ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ ΠΈ ΡΠ½Π΅ΡΠ³Π΅ΡΠΈΠΊΠΈ Π‘Π°ΠΌΠ°ΡΡΠΊΠΎΠΉ ΠΎΠ±Π»Π°ΡΡΠΈ, Π½Π° ΠΊΠΎΡΠΎΡΡΡ
ΠΎΡΡΠ°Π±Π°ΡΡΠ²Π°Π»ΠΈΡΡ ΡΡΠ΅Π½Π°ΡΠΈΠΈ ΡΠ½Π΅ΡΠ³ΠΎΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΠ³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠ΅Π³ΠΈΠΎΠ½Π° Ρ ΡΡΠ΅ΡΠΎΠΌ ΡΠ΅Π»Π΅Π²ΡΡ
ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΡΡ
ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌ ΠΏΠΎ ΡΠ½Π΅ΡΠ³ΠΎΡΠ±Π΅ΡΠ΅ΠΆΠ΅Π½ΠΈΡ ΠΈ ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΡ ΡΠ½Π΅ΡΠ³ΠΎΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ, Π΄Π΅ΠΊΠ»Π°ΡΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
Π² ΠΏΡΠΎΠ΅ΠΊΡΠ΅ ΠΠ½Π΅ΡΠ³Π΅ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΡΡΠ°ΡΠ΅Π³ΠΈΠΈ Π ΠΎΡΡΠΈΠΈ Π½Π° ΠΏΠ΅ΡΠΈΠΎΠ΄ Π΄ΠΎ 2035 Π³. Π ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ ΡΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΎ, ΡΡΠΎ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΠΉ ΡΠΎΡΡ ΡΠ²Π»ΡΠ΅ΡΡΡ Π²Π°ΠΆΠ½Π΅ΠΉΡΠΈΠΌ ΡΡΠ»ΠΎΠ²ΠΈΠ΅ΠΌ ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΡ ΡΠ΄Π΅Π»ΡΠ½ΠΎΠΉ ΡΠ½Π΅ΡΠ³ΠΎΠ΅ΠΌΠΊΠΎΡΡΠΈ ΠΠ Π, ΠΏΡΠΈΡΠ΅ΠΌ ΡΠ΅ΠΌ Π²ΡΡΠ΅ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΠΉ ΡΠΎΡΡ, ΡΠ΅ΠΌ Π±ΠΎΠ»ΡΡΠ΅ Π΅Π³ΠΎ Π²ΠΊΠ»Π°Π΄ Π² ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΠ΅ ΡΠ΄Π΅Π»ΡΠ½ΠΎΠΉ ΡΠ½Π΅ΡΠ³ΠΎΠ΅ΠΌΠΊΠΎΡΡΠΈ ΠΠ Π. ΠΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΡΠΎ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΠΉ ΡΠΎΡΡ ΡΠ½ΠΈΠΆΠ°Π΅Ρ ΡΠ΄Π΅Π»ΡΠ½ΡΡ ΡΠ½Π΅ΡΠ³ΠΎΠ΅ΠΌΠΊΠΎΡΡΡ ΠΠ Π Π·Π° ΡΡΠ΅Ρ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΈ ΠΎΡ ΡΠ°ΡΡΡΡΠ΅Π³ΠΎ ΠΌΠ°ΡΡΡΠ°Π±Π° ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π° ΡΠΎΠ²Π°ΡΠΎΠ² ΠΈ ΡΡΠ»ΡΠ³, ΠΎΠΏΠ΅ΡΠ΅ΠΆΠ°ΡΡΠ΅Π³ΠΎ ΡΠΎΡΡΠ° ΠΠ Π ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ ΠΏΠΎ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ Ρ ΡΠΎΡΡΠΎΠΌ ΠΊΠ°ΠΏΠΈΡΠ°Π»ΠΎΠ΅ΠΌΠΊΠΈΡ
ΠΎΡΡΠ°ΡΠ»Π΅ΠΉ Π’ΠΠ, Π½Π°ΡΠ°ΡΡΠ°ΡΡΠ΅Π³ΠΎ ΠΎΡΡΡΠ°Π²Π°Π½ΠΈΡ ΠΎΠ±ΡΠ΅ΠΌΠ° ΡΠ½Π΅ΡΠ³ΠΎΠΏΠΎΡΡΠ΅Π±Π»ΡΡΡΠ΅Π³ΠΎ ΠΈΠΌΡΡΠ΅ΡΡΠ²Π° Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΠΎΡ ΠΎΠ±ΡΠ΅ΠΌΠ° ΠΠ Π. ΠΠ° ΠΏΡΠΈΠΌΠ΅ΡΠ΅ Π‘Π°ΠΌΠ°ΡΡΠΊΠΎΠΉ ΠΎΠ±Π»Π°ΡΡΠΈ ΠΏΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΡΠΎ ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΠ΅ ΡΠ½Π΅ΡΠ³ΠΎΠ΅ΠΌΠΊΠΎΡΡΠΈ ΠΠ Π Π½Π° 40 % Π½Π° Π³ΠΎΡΠΈΠ·ΠΎΠ½ΡΠ΅ 2018β2035 Π³Π³. ΠΎΡΡΡΠ΅ΡΡΠ²ΠΈΠΌΠΎ ΡΠΎΠ»ΡΠΊΠΎ ΠΏΡΠΈ ΡΡΠ΅Π΄Π½Π΅Π³ΠΎΠ΄ΠΎΠ²ΠΎΠΌ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠΌ ΡΠΎΡΡΠ΅ Π½Π΅ ΠΌΠ΅Π½Π΅Π΅ 5 % Π΄Π°ΠΆΠ΅ ΠΏΡΠΈ Π°Π±ΡΠΎΠ»ΡΡΠ½ΠΎΠΌ Π²ΡΠΏΠΎΠ»Π½Π΅Π½ΠΈΠΈ Π²ΡΠ΅Ρ
ΠΎΡΡΠ°ΡΠ»Π΅Π²ΡΡ
ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌ ΠΏΠΎ ΡΠ½Π΅ΡΠ³ΠΎΡΠ±Π΅ΡΠ΅ΠΆΠ΅Π½ΠΈΡ ΠΈ ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΡ ΡΠ½Π΅ΡΠ³Π΅ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ, Π·Π°ΡΠ²Π»Π΅Π½Π½ΡΡ
Π² ΠΠ½Π΅ΡΠ³Π΅ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΡΡΠ°ΡΠ΅Π³ΠΈΠΈ. ΠΠ½Π°Π»ΠΎΠ³ΠΈΡΠ½ΡΠ΅ Π²ΡΠ²ΠΎΠ΄Ρ ΡΠΏΡΠ°Π²Π΅Π΄Π»ΠΈΠ²Ρ ΠΈ Π΄Π»Ρ ΡΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ Π² ΡΠ΅Π»ΠΎΠΌ. ΠΡΠ»ΠΈ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠ° Π ΠΎΡΡΠΈΠΈ Π±ΡΠ΄Π΅Ρ ΡΠ°Π·Π²ΠΈΠ²Π°ΡΡΡΡ ΡΡΠ΅Π΄Π½Π΅Π³ΠΎΠ΄ΠΎΠ²ΡΠΌΠΈ ΡΠ΅ΠΌΠΏΠ°ΠΌΠΈ Π½ΠΈΠΆΠ΅ 4β5 %, ΡΠΎ ΠΎΡΠ½ΠΎΠ²Π½ΠΎΠΉ ΡΠ΅Π»Π΅Π²ΠΎΠΉ ΠΈΠ½Π΄ΠΈΠΊΠ°ΡΠΎΡ ΠΠ½Π΅ΡΠ³Π΅ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΡΡΠ°ΡΠ΅Π³ΠΈΠΈ Π ΠΎΡΡΠΈΠΈ Π½Π° ΠΏΠ΅ΡΠΈΠΎΠ΄ Π΄ΠΎ 2035 Π³. β ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΠ΅ ΡΠ½Π΅ΡΠ³ΠΎΠ΅ΠΌΠΊΠΎΡΡΠΈ ΠΠΠ ΠΊ 2035 Π³. Π½Π° 34 % ΠΎΡΠ½ΠΎΡΠΈΡΠ΅Π»ΡΠ½ΠΎ 2015 Π³. Π±ΡΠ΄Π΅Ρ ΠΏΡΠΈΠ½ΡΠΈΠΏΠΈΠ°Π»ΡΠ½ΠΎ Π½Π΅Π΄ΠΎΡΡΠΈΠΆΠΈΠΌΠΎ. Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΌΠΎΠ³ΡΡ Π±ΡΡΡ ΠΏΠΎΠ»Π΅Π·Π½Ρ ΠΎΡΠ³Π°Π½Π°ΠΌ Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΠΎΠΉ Π²Π»Π°ΡΡΠΈ ΠΏΡΠΈ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ΅ Π΄ΠΎΠΊΡΠΌΠ΅Π½ΡΠΎΠ² ΡΡΡΠ°ΡΠ΅Π³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΏΠ»Π°Π½ΠΈΡΠΎΠ²Π°Π½ΠΈΡ.The article has been prepared in the framework of the state order of the Ministry of Education and Science of the Russian Federation β 26.4131.2017/PCh, the project βDevelopment of methods and information technologies of macroeconomic modelling and strategic planning of energy efficient development of energy industry of the territorial subject of the Russian Federationβ.Π‘ΡΠ°ΡΡΡ ΠΏΠΎΠ΄Π³ΠΎΡΠΎΠ²Π»Π΅Π½Π° Π² ΡΠ°ΠΌΠΊΠ°Ρ
Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎ Π·Π°Π΄Π°Π½ΠΈΡ ΠΠΈΠ½ΠΈΡΡΠ΅ΡΡΡΠ²Π° ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΡ ΠΈ Π½Π°ΡΠΊΠΈ Π Π€ β 26.4131.2017/ΠΠ§, ΠΏΡΠΎΠ΅ΠΊΡ Β«Π Π°Π·ΡΠ°Π±ΠΎΡΠΊΠ° ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² ΠΈ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΡΡ
ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ ΠΌΠ°ΠΊΡΠΎΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΈ ΡΡΡΠ°ΡΠ΅Π³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΏΠ»Π°Π½ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠ½Π΅ΡΠ³ΠΎΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΠ³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ Π’ΠΠ ΡΡΠ±ΡΠ΅ΠΊΡΠ° Π ΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ Π€Π΅Π΄Π΅ΡΠ°ΡΠΈΠΈΒ»
Modelling of regulatory factor and managerial impact assessment in the regional economy sectors: a case-study of the Kaliningrad region (Russia)
This article discusses the methodology of developing tools for assessing regulatory factors and managerial impacts on the regional economy and individual sectors and businesses. The potential of projection models is investigated, including balance models, convergence of regional and sectoral projection and compiling reliable and representative data sets capable of describing the current economic situation. An attempt was made to develop a series of models for several regional economies; to that end, the modelling of managerial and regulatory impact assessment was used in combination with the well-known value chain approach. In the interests of effective public administration, one of the requirements is to create sectoral model formats compatible with the regional projection models. Results of pilot modelling managerial and regulatory impacts on Kaliningrad regionβs economies are presented through examples of agribusiness, transport, industry, tourism and recreation. Implementation of regulatory impact modelling in the framework of the suggested approach is proved for other regions. The main advantage of the developed models for the regional management is their ability to reduce uncertainty in decision-making due to obtaining estimates of the impact of the decisions on the changing situation and the conditions for the development of sectors and industries
Strategic planning of energy-efficient development of a region of the Russian federation
When developing regional strategies, the effectiveness of energy solutions must be linked to the overall economic efficiency of regional development, since the targets for energy-efficient development may conflict with the objectives of the regional economy as a whole. In the article, the task of energy-efficient development of a region of the Russian Federation is reduced to the search for the agreed scenarios of the development of fuel and energy complex (FEC) and the regional economy. These scenarios allow achieving a maximum approximation to the stated goals for the set of energy and economic indicators. I have developed a model of the FEC of a region as a dynamic CGE-model. It is developed as a part of the general model of the socio-economic activity of a region. This model represents the interrelated processes of production, processing, transportation and the use of all types of fuel and energy resources in a region. I propose the forecasting methodology of balanced development of the economy and fuel and energy complex. This methodology provides iterative harmonization of forecasts for consumption and production of energy based on regional fuel and energy balance (FEB). At the same time, the FEB developed within the framework of the FEC model is a part of the overall product-sector balance of the economy, which plays the role of the βbalance of balancesβ. It allows to simulate the interaction of FEC and the rest of the economy through inter-balance relations. Based on the developed methods and models, I have implemented the information technology of situation forecasting and strategic planning in the form of forecasting and analytical tool. This tool simulates the scenarios of energy-efficient development of the economy of the Samara region. As an example, the article presents the assessment of energy efficiency for an option of Samara region development according to the target scenario of Russia's Energy Strategy for the period up to 2035. Β© 2018 Economy of Region. All rights reserved.Π Π°Π·ΡΠ°Π±ΠΎΡΠ°Π½Π° Π΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠ°Ρ ΠΌΠ½ΠΎΠ³ΠΎΠΎΡΡΠ°ΡΠ»Π΅Π²Π°Ρ ΠΌΠΎΠ΄Π΅Π»Ρ ΡΠΎΠΏΠ»ΠΈΠ²Π½ΠΎ-ΡΠ½Π΅ΡΠ³Π΅ΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ° Π² ΡΠΎΡΡΠ°Π²Π΅ ΠΎΠ±ΡΠ΅ΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎ-ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ Π΄Π΅ΡΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ ΡΠ΅Π³ΠΈΠΎΠ½Π°, ΠΊΠΎΡΠΎΡΠ°Ρ ΡΠΎΡΠΌΠΈΡΡΠ΅Ρ Π²Π·Π°ΠΈΠΌΠΎΡΠ²ΡΠ·Π°Π½Π½ΡΠ΅ ΠΏΡΠΎΡΠ΅ΡΡΡ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π°, ΠΏΠ΅ΡΠ΅ΡΠ°Π±ΠΎΡΠΊΠΈ, ΡΡΠ°Π½ΡΠΏΠΎΡΡΠΈΡΠΎΠ²ΠΊΠΈ ΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ Π²ΡΠ΅Ρ
Π²ΠΈΠ΄ΠΎΠ² ΡΠΎΠΏΠ»ΠΈΠ²Π½ΠΎ-ΡΠ½Π΅ΡΠ³Π΅ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠ΅ΡΡΡΡΠΎΠ² Π² ΡΠ΅Π³ΠΈΠΎΠ½Π΅. ΠΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π° ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΡ ΠΏΡΠΎΠ³Π½ΠΎΠ·ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠ±Π°Π»Π°Π½ΡΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ ΠΈ ΡΠΎΠΏΠ»ΠΈΠ²Π½ΠΎ-ΡΠ½Π΅ΡΠ³Π΅ΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ°. ΠΡΠΈΠ²Π΅Π΄Π΅Π½Π° ΠΎΡΠ΅Π½ΠΊΠ° ΡΠ½Π΅ΡΠ³ΠΎΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΠ³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ Π‘Π°ΠΌΠ°ΡΡΠΊΠΎΠΉ ΠΎΠ±Π»Π°ΡΡΠΈ.The article has been prepared in the framework of the state order of the Ministry of Education and Science of the Russian Federation No 26.4131.2017/PCh, Project Development of methods and information technologies of macroeconomic modelling and strategi