51 research outputs found
ΠΠ± ΠΈΠ·ΠΌΠ΅ΡΠ΅Π½ΠΈΠΈ ΠΊΠ°ΡΠ΅ΡΡΠ²Π° ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠΎΡΡΠ°
With the exhaustion of extensive factors, the quality of economic growth becomes the most important criterion and a condition for the consistent furthering economic development and social progress in Russia. The diversity and multidimensional nature of the quality of growth implies the need to consider it from different perspectives: both as a result of a target development directions and as a prerequisite for current and future progress. At the same time, individual characteristics, included in the expanded concept of quality of growth as an essential element of sustainable development, are competitive, for example, inclusive development and growth dynamics. This study addresses characteristics of the quality of economic growth, mainly from its macroeconomic perspective: stability, efficiency, flexibility, progressiveness, social orientation, reducing differentiation. The author analyzed those characteristic-based indicators, and factors aimed at achieving those socio-economic goals. It is considered how these characteristics evolved at individual stages of economic development. Based on statistical calculations, it is concluded that there has been a slowdown in the quality of growth since the 2009 crisis, in contrast to the previous decade. The author indicates the factors of economic growth and improvement of its quality in the medium term, as well as the possibility of combining the requirements of inclusive growth and accelerating economic development.ΠΠΎ ΠΌΠ΅ΡΠ΅ ΠΈΡΡΠ΅ΡΠΏΠ°Π½ΠΈΡ ΡΠΊΡΡΠ΅Π½ΡΠΈΠ²Π½ΡΡ
ΡΠ°ΠΊΡΠΎΡΠΎΠ² ΠΊΠ°ΡΠ΅ΡΡΠ²ΠΎ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠΎΡΡΠ° ΡΡΠ°Π½ΠΎΠ²ΠΈΡΡΡ Π²Π°ΠΆΠ½Π΅ΠΉΡΠΈΠΌ ΠΊΡΠΈΡΠ΅ΡΠΈΠ΅ΠΌ ΠΈ ΡΡΠ»ΠΎΠ²ΠΈΠ΅ΠΌ Π΄Π°Π»ΡΠ½Π΅ΠΉΡΠ΅Π³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ Π ΠΎΡΡΠΈΠΈ ΠΈ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΏΡΠΎΠ³ΡΠ΅ΡΡΠ°. ΠΠ½ΠΎΠ³ΠΎΠΏΠ»Π°Π½ΠΎΠ²ΠΎΡΡΡ ΠΈ ΠΌΠ½ΠΎΠ³ΠΎΠ°ΡΠΏΠ΅ΠΊΡΠ½ΠΎΡΡΡ ΠΊΠ°ΡΠ΅ΡΡΠ²Π° ΡΠΎΡΡΠ° ΠΏΡΠ΅Π΄ΠΏΠΎΠ»Π°Π³Π°ΡΡ Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎΡΡΡ Π΅Π³ΠΎ ΡΠ°ΡΡΠΌΠΎΡΡΠ΅Π½ΠΈΡ Ρ ΡΠ°Π·Π½ΡΡ
ΠΏΠΎΠ·ΠΈΡΠΈΠΉ: ΠΈ ΠΊΠ°ΠΊ ΡΠ΅Π·ΡΠ»ΡΡΠ°Ρ ΡΠ΅Π»Π΅Π²ΠΎΠ³ΠΎ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΡΠ°Π·Π²ΠΈΡΠΈΡ, ΠΈ ΠΊΠ°ΠΊ ΡΡΠ»ΠΎΠ²ΠΈΠ΅ Π΄Π»Ρ ΡΠ΅ΠΊΡΡΠ΅Π³ΠΎ ΠΈ Π±ΡΠ΄ΡΡΠ΅Π³ΠΎ ΠΏΡΠΎΠ³ΡΠ΅ΡΡΠ°. ΠΡΠΈ ΡΡΠΎΠΌ ΠΎΡΠ΄Π΅Π»ΡΠ½ΡΠ΅ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠΈ, Π²ΠΊΠ»ΡΡΠ°Π΅ΠΌΡΠ΅ Π² ΡΠ°ΡΡΠΈΡΠ΅Π½Π½ΠΎΠ΅ ΠΏΠΎΠ½ΡΡΠΈΠ΅ ΠΊΠ°ΡΠ΅ΡΡΠ²Π° ΡΠΎΡΡΠ° ΠΊΠ°ΠΊ Π²Π°ΠΆΠ½ΠΎΠ³ΠΎ ΡΡΠ»ΠΎΠ²ΠΈΡ ΡΡΡΠΎΠΉΡΠΈΠ²ΠΎΠ³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ, ΡΠ²Π»ΡΡΡΡΡ ΠΊΠΎΠ½ΠΊΡΡΠΈΡΡΡΡΠΈΠΌΠΈ, Π½Π°ΠΏΡΠΈΠΌΠ΅Ρ ΠΈΠ½ΠΊΠ»ΡΠ·ΠΈΠ²Π½ΠΎΡΡΡ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΈ Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠ° ΡΠΎΡΡΠ°. Π Π½Π°ΡΡΠΎΡΡΠ΅ΠΌ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΈ ΡΠ°ΡΠΊΡΡΠ²Π°ΡΡΡΡ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠΈ ΠΊΠ°ΡΠ΅ΡΡΠ²Π° ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠΎΡΡΠ°, ΠΎΡΠ²Π΅ΡΠ°ΡΡΠΈΠ΅ ΠΏΡΠ΅ΠΈΠΌΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎ ΠΌΠ°ΠΊΡΠΎΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠΌΡ Π΅Π³ΠΎ ΠΏΠΎΠ½ΠΈΠΌΠ°Π½ΠΈΡ: ΡΡΡΠΎΠΉΡΠΈΠ²ΠΎΡΡΡ, ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΡ, Π³ΠΈΠ±ΠΊΠΎΡΡΡ, ΠΏΡΠΎΠ³ΡΠ΅ΡΡΠΈΠ²Π½ΠΎΡΡΡ, ΡΠΎΡΠΈΠ°Π»ΡΠ½Π°Ρ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½Π½ΠΎΡΡΡ, ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΠ΅ Π΄ΠΈΡΡΠ΅ΡΠ΅Π½ΡΠΈΠ°ΡΠΈΠΈ. ΠΠ²ΡΠΎΡΠΎΠΌ ΠΏΡΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Ρ ΠΈΠ½Π΄ΠΈΠΊΠ°ΡΠΎΡΡ, ΠΎΡΠ½ΠΎΠ²Π°Π½Π½ΡΠ΅ Π½Π° ΡΡΠΈΡ
Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠ°Ρ
, ΠΈ ΡΠ°ΠΊΡΠΎΡΡ, Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½Π½ΡΠ΅ Π½Π° ΡΠ΅Π°Π»ΠΈΠ·Π°ΡΠΈΡ ΡΡΠΈΡ
ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎ-ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
Π·Π°Π΄Π°Ρ. Π Π°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°Π΅ΡΡΡ, ΠΊΠ°ΠΊ ΡΠΊΠ»Π°Π΄ΡΠ²Π°Π»ΠΈΡΡ ΡΡΠΈ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠΈ Π½Π° ΠΎΡΠ΄Π΅Π»ΡΠ½ΡΡ
ΡΡΠ°ΠΏΠ°Ρ
ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ. ΠΠ° ΠΎΡΠ½ΠΎΠ²Π΅ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠ°ΡΡΠ΅ΡΠΎΠ² Π΄Π΅Π»Π°Π΅ΡΡΡ Π²ΡΠ²ΠΎΠ΄ ΠΎ Π·Π°ΠΌΠ΅Π΄Π»Π΅Π½ΠΈΠΈ ΡΠ΅ΠΌΠΏΠΎΠ² ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΡ ΠΊΠ°ΡΠ΅ΡΡΠ²Π° ΡΠΎΡΡΠ° Π² ΠΏΠ΅ΡΠΈΠΎΠ΄ ΠΏΠΎΡΠ»Π΅ ΠΊΡΠΈΠ·ΠΈΡΠ° 2009 Π³. Π² ΠΎΡΠ»ΠΈΡΠΈΠ΅ ΠΎΡ ΠΏΡΠ΅Π΄ΡΠ΄ΡΡΠ΅Π³ΠΎ Π΄Π΅ΡΡΡΠΈΠ»Π΅ΡΠΈΡ. ΠΠ±ΠΎΡΠ½ΠΎΠ²ΡΠ²Π°ΡΡΡΡ ΡΠ°ΠΊΡΠΎΡΡ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠΎΡΡΠ° ΠΈ ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΡ Π΅Π³ΠΎ ΠΊΠ°ΡΠ΅ΡΡΠ²Π° Π² ΡΡΠ΅Π΄Π½Π΅ΡΡΠΎΡΠ½ΠΎΠΉ ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Π΅, Π° ΡΠ°ΠΊΠΆΠ΅ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ ΡΠΎΠ²ΠΌΠ΅ΡΠ΅Π½ΠΈΡ ΡΡΠ΅Π±ΠΎΠ²Π°Π½ΠΈΠΉ ΠΈΠ½ΠΊΠ»ΡΠ·ΠΈΠ²Π½ΠΎΠ³ΠΎ ΡΠΎΡΡΠ° ΠΈ ΡΡΠΊΠΎΡΠ΅Π½ΠΈΡ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ
Potentials and Limitations of "Input-Output" Analysis (To the 60th Anniversary of Statistical Work in the Field of Intersectoral Research in the CIS Countries)
The article reveals the possibilities of using the Russian system of input-output tables and intersectoral models for analytical and forecasting purposes and substantiate managerial decisions in the fild of economic policy. It is shown how the input-output method's capabilities were implemented at three stages of the development of intersectoral research in Russia, taking into account the specifis of the problems being solved and the development of the statistical base. The primary attention authors paid to the current stage of developing the method and its use directions. A characteristic is given of the constraints objectively inherent in this method and the input-output tables' information system (IOT). The authors' position regarding their signifiance is expressed. A new direction in using data from the IOT system is considered β the analysis of the fial product's cost as accumulated value-added, which implies a full use of the analytical potential of modern input-output tables. Proposals are given for improving the intersectoral toolkit based on taking into account the links between production, the need for investment and the state of the production and technical base
ΠΠΠ’ΠΠΠΠ§ΠΠ‘ΠΠΠ ΠΠΠΠ ΠΠ‘Π« ΠΠ ΠΠ’ΠΠΠ‘Π ΠΠ§ΠΠΠ ΠΠ¦ΠΠΠΠ Π ΠΠ ΠΠΠΠΠΠ ΠΠΠΠ ΠΠΠΠΠΠΠΠΠ§ΠΠ‘ΠΠΠ₯ ΠΠΠΠΠΠΠ’ΠΠΠΠ
Current economic analysis, planning of budget revenues, supporting medium-term forecasts and economic policy measures require not only quarterly macroeconomic statistics that is widely used now but also retrospective and current data with a shorter step length. The article summarizes the techniques and practical experience of specialists from the Ministry of Economic Development of Russia in the reconstruction for these purposes of monthly series of macroeconomic indicators based on official statistics using quarterly accounts and higher-frequency indicators, as well as methods for their short-term estimation and forecasting. Disaggregation techniques for the time-series of high-frequency indicators, proposed by specialists in this field were used to reconstruct the monthly series of GDP components for the production account at prices of 2011. Issues concerning disaggregation technique are discussed in the article. The author proposes a method for restoring monthly series of GDP components at current prices, calculated using production account and income account. The actual trends of monthly changes in the main indicators, excluding the seasonal factor, are analyzed from the view of their susceptibility to the crisis phenomena of 2014-2017. This article presents main methods of short-term forecasting of macroeconomic indicators with account to their relationship map with the final demand and the growth of potential GDP. It is demonstrated that both approaches are linked by the representation of the Β«gapΒ» through the cyclic component and other factors.Π’Π΅ΠΊΡΡΠΈΠΉ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΠΉ Π°Π½Π°Π»ΠΈΠ·, ΠΏΠ»Π°Π½ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ Π±ΡΠ΄ΠΆΠ΅ΡΠ½ΡΡ
Π΄ΠΎΡ
ΠΎΠ΄ΠΎΠ², ΠΎΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΠ΅ ΡΡΠ΅Π΄Π½Π΅ΡΡΠΎΡΠ½ΡΡ
ΠΏΡΠΎΠ³Π½ΠΎΠ·ΠΎΠ² ΠΈ ΠΌΠ΅Ρ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΏΠΎΠ»ΠΈΡΠΈΠΊΠΈ ΠΏΡΠ΅Π΄ΠΏΠΎΠ»Π°Π³Π°ΡΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΌΠ°ΠΊΡΠΎΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΡΠ°ΡΠΈΡΡΠΈΠΊΠΈ Π½Π΅ ΡΠΎΠ»ΡΠΊΠΎ Π² ΠΊΠ²Π°ΡΡΠ°Π»ΡΠ½ΠΎΠΌ ΡΠΎΡΠΌΠ°ΡΠ΅, ΡΠΈΡΠΎΠΊΠΎ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Π½ΠΎΠΌ Π² Π½Π°ΡΡΠΎΡΡΠ΅Π΅ Π²ΡΠ΅ΠΌΡ, Π½ΠΎ ΠΈ Ρ Π±ΠΎΠ»Π΅Π΅ ΠΊΠΎΡΠΎΡΠΊΠΈΠΌ ΡΠ°Π³ΠΎΠΌ ΡΠ΅ΡΡΠΎΡΠΏΠ΅ΠΊΡΠΈΠ²Π½ΠΎΠ³ΠΎ ΠΈ ΡΠ΅ΠΊΡΡΠ΅Π³ΠΎ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ΠΈΡ. Π ΡΡΠ°ΡΡΠ΅ ΠΎΠ±ΠΎΠ±ΡΠ°Π΅ΡΡΡ ΠΌΠ΅ΡΠΎΠ΄ΠΈΡΠ΅ΡΠΊΠΈΠΉ ΠΈ ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈΠΉ ΠΎΠΏΡΡ ΡΠΏΠ΅ΡΠΈΠ°Π»ΠΈΡΡΠΎΠ² ΠΠΈΠ½ΡΠΊΠΎΠ½ΠΎΠΌΡΠ°Π·Π²ΠΈΡΠΈΡ Π ΠΎΡΡΠΈΠΈ ΠΏΠΎ ΡΠ΅ΠΊΠΎΠ½ΡΡΡΡΠΊΡΠΈΠΈ Π΄Π»Ρ ΡΡΠΈΡ
ΡΠ΅Π»Π΅ΠΉ ΠΌΠ΅ΡΡΡΠ½ΡΡ
ΡΡΠ΄ΠΎΠ² ΠΌΠ°ΠΊΡΠΎΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ Π΄Π°Π½Π½ΡΡ
ΠΎΡΠΈΡΠΈΠ°Π»ΡΠ½ΠΎΠΉ ΡΡΠ°ΡΠΈΡΡΠΈΠΊΠΈ Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΠΊΠ²Π°ΡΡΠ°Π»ΡΠ½ΡΡ
ΡΡΠ΅ΡΠΎΠ² ΠΈ Π±ΠΎΠ»Π΅Π΅ Π²ΡΡΠΎΠΊΠΎΡΠ°ΡΡΠΎΡΠ½ΡΡ
ΠΈΠ½Π΄ΠΈΠΊΠ°ΡΠΎΡΠΎΠ², Π° ΡΠ°ΠΊΠΆΠ΅ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² ΠΈΡ
ΠΊΡΠ°ΡΠΊΠΎΡΡΠΎΡΠ½ΠΎΠΉ ΠΎΡΠ΅Π½ΠΊΠΈ ΠΈ ΠΏΡΠΎΠ³Π½ΠΎΠ·ΠΈΡΠΎΠ²Π°Π½ΠΈΡ. ΠΠ»Ρ ΡΠ΅ΠΊΠΎΠ½ΡΡΡΡΠΊΡΠΈΠΈ ΠΌΠ΅ΡΡΡΠ½ΡΡ
ΡΡΠ΄ΠΎΠ² ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½ΡΠΎΠ² Π²Π°Π»ΠΎΠ²ΠΎΠ³ΠΎ Π²Π½ΡΡΡΠ΅Π½Π½Π΅Π³ΠΎ ΠΏΡΠΎΠ΄ΡΠΊΡΠ° (ΠΠΠ) ΠΏΠΎ ΡΡΠ΅ΡΡ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π° Π² ΡΠ΅Π½Π°Ρ
2011 Π³. ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½Ρ ΠΌΠ΅ΡΠΎΠ΄Ρ Π΄Π΅Π·Π°Π³ΡΠ΅Π³Π°ΡΠΈΠΈ ΡΡΠ΄ΠΎΠ² ΠΏΠΎ Π²ΡΡΠΎΠΊΠΎΡΠ°ΡΡΠΎΡΠ½ΡΠΌ ΠΈΠ½Π΄ΠΈΠΊΠ°ΡΠΎΡΠ°ΠΌ, ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π½ΡΠ΅ ΡΠΏΠ΅ΡΠΈΠ°Π»ΠΈΡΡΠ°ΠΌΠΈ Π² ΡΡΠΎΠΉ ΠΎΠ±Π»Π°ΡΡΠΈ. ΠΠ±ΡΡΠΆΠ΄Π°ΡΡΡΡ Π²ΠΎΠ·Π½ΠΈΠΊΠ°ΡΡΠΈΠ΅ Π² ΠΏΡΠΎΡΠ΅ΡΡΠ΅ Π΄Π΅Π·Π°Π³ΡΠ΅Π³Π°ΡΠΈΠΈ ΠΌΠ΅ΡΠΎΠ΄ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΏΡΠΎΠ±Π»Π΅ΠΌΡ. ΠΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½ ΠΌΠ΅ΡΠΎΠ΄ Π²ΠΎΡΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΈΡ ΠΌΠ΅ΡΡΡΠ½ΡΡ
ΡΡΠ΄ΠΎΠ² ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½ΡΠΎΠ² ΠΠΠ Π² ΡΠ΅ΠΊΡΡΠΈΡ
ΡΠ΅Π½Π°Ρ
, ΡΠ°ΡΡΡΠΈΡΡΠ²Π°Π΅ΠΌΠΎΠ³ΠΎ ΠΏΠΎΡΡΠ΅Π΄ΡΡΠ²ΠΎΠΌ ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΡ ΡΡΠ΅ΡΠ° ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π° ΠΈ ΡΡΠ΅ΡΠ° ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ Π΄ΠΎΡ
ΠΎΠ΄ΠΎΠ². ΠΡΡΠ»Π΅Π΄ΡΡΡΡΡ ΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΡΠ΅Π½Π΄Π΅Π½ΡΠΈΠΈ ΠΏΠΎΠΌΠ΅ΡΡΡΠ½ΠΎΠ³ΠΎ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΡ ΠΎΡΠ½ΠΎΠ²Π½ΡΡ
ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ Ρ ΠΈΡΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅ΠΌ ΡΠ΅Π·ΠΎΠ½Π½ΠΎΠ³ΠΎ ΡΠ°ΠΊΡΠΎΡΠ° Ρ ΠΏΠΎΠ·ΠΈΡΠΈΠΉ ΠΈΡ
ΡΡΠ²ΡΡΠ²ΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ ΠΊ ΠΊΡΠΈΠ·ΠΈΡΠ½ΡΠΌ ΡΠ²Π»Π΅Π½ΠΈΡΠΌ 2014-2017 Π³Π³. ΠΡΠΈΠ²ΠΎΠ΄ΡΡΡΡ ΠΎΡΠ½ΠΎΠ²Π½ΡΠ΅ ΠΌΠ΅ΡΠΎΠ΄Ρ ΠΊΡΠ°ΡΠΊΠΎΡΡΠΎΡΠ½ΠΎΠ³ΠΎ ΠΏΡΠΎΠ³Π½ΠΎΠ·ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΌΠ°ΠΊΡΠΎΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ Ρ ΡΡΠ΅ΡΠΎΠΌ ΡΡ
Π΅ΠΌΡ ΠΈΡ
Π²Π·Π°ΠΈΠΌΠΎΡΠ²ΡΠ·Π΅ΠΉ ΠΊΠ°ΠΊ ΡΠΎ ΡΡΠΎΡΠΎΠ½Ρ ΠΊΠΎΠ½Π΅ΡΠ½ΠΎΠ³ΠΎ ΡΠΏΡΠΎΡΠ°, ΡΠ°ΠΊ ΠΈ ΡΠΎ ΡΡΠΎΡΠΎΠ½Ρ ΡΠΎΡΡΠ° ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΠΠ. ΠΠΎΠΊΠ°Π·ΡΠ²Π°Π΅ΡΡΡ, ΡΡΠΎ ΠΎΠ±Π° ΠΏΠΎΠ΄Ρ
ΠΎΠ΄Π° ΡΠ²ΡΠ·ΡΠ²Π°ΡΡΡΡ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ΠΈΠ΅ΠΌ Β«ΡΠ°Π·ΡΡΠ²Π°Β» ΡΠ΅ΡΠ΅Π· ΡΠΈΠΊΠ»ΠΈΡΠ΅ΡΠΊΡΡ ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½ΡΡ ΠΈ ΠΏΡΠΎΡΠΈΠ΅ ΡΠ°ΠΊΡΠΎΡΡ
ΠΠΠΠΠΠΠΠΠ Π‘Π’Π Π£ΠΠ’Π£Π Π« ΠΠΠΠ¨ΠΠΠ Π’ΠΠ ΠΠΠΠΠ Π Π₯ΠΠ ΠΠΠ’ΠΠ ΠΠ‘Π’ΠΠΠ Π’ΠΠ ΠΠΠΠ«Π₯ Π‘ΠΠ―ΠΠΠ Π ΠΠ‘Π‘ΠΠ Π‘ ΠΠΠ Π’ΠΠΠ ΠΠΠ ΠΠ ΠΠΠΠ‘ Π ΠΠΠ ΠΠΠ 2013-2016 ΠΠΠΠΠ
This article presents the research of Russian foreign trade in 2013-2016 using several relevant analytical groupings and indicators reflecting geography and structure of exports and imports of goods, trade balance, dependence on imports, export-oriented nature of the Russian economy and also the development potential of the mutual trade with its-partners in the EAEU. For the analysis the authors used data from the Federal Customs Service, which was regrouped in accordance with the Russian Classification of Products by Economic Activities to correspond with the production statistics and combined in 40 groups of industrial and agricultural exports and imports products. Geographical dimension in the context of these types of products is presented by two groups of countries: one group - Russia and the EAEU-members (EAEU-4) broken down by each country and another group - that includes Β«other courtiers of the worldΒ».The article consists of two parts. The first part contains general characteristics of the external and internal conditions, which determined the directions for changes in the Russian foreign trade in 2014-2016. It also presents the estimations and conclusions received following the analysis of changes of the Russian trade balance with the EAEU-4 group of countries and other countries of the world, by types of products, dependence of the Russian economy on imports and export-oriented nature of different economic sectors. The second part is devoted to the analysis of the Russian trade with each country of EAEU-4. The authors itemized the aspects of Russian trade with each of the EAEU-4 countries and described the complementarity of their economies. The importance of trade with each country in meeting the Russian demand for imports of different types of products and the development of Russian industries is assessed. The conclusions on the possibility of a fuller use of the integration potential of foreign trade connections between Russia and its EAEU-partners are provided.The article contains table materials that include specific data on structural, dynamic and comparative analysis of Russian foreign trade during its adaptation to radical change in prices on the world energy market and to other external factors. These table materials can be widely used in different directions of macroeconomic research, including the estimates of integration effects within the EAEU.Π ΡΡΠ°ΡΡΠ΅ ΠΏΡΠΈΠ²Π΅Π΄Π΅Π½Ρ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π°Π²ΡΠΎΡΠ°ΠΌΠΈ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΈΠ²Π½ΠΎΡΡΠΈ Π²Π½Π΅ΡΠ½Π΅ΠΉ ΡΠΎΡΠ³ΠΎΠ²Π»ΠΈ Π ΠΎΡΡΠΈΠΈ Π·Π° ΠΏΠ΅ΡΠΈΠΎΠ΄ 20132016 Π³Π³. Ρ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ΠΌΒ ΡΡΠ΄Π° Π²Π°ΠΆΠ½ΡΡ
Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠΈΡ
Π³ΡΡΠΏΠΏΠΈΡΠΎΠ²ΠΎΠΊ ΠΈ ΠΈΠ½Π΄ΠΈΠΊΠ°ΡΠΎΡΠΎΠ², ΠΎΡΡΠ°ΠΆΠ°ΡΡΠΈΡ
Π³Π΅ΠΎΠ³ΡΠ°ΡΠΈΡ ΠΈ ΡΡΡΡΠΊΡΡΡΡΒ ΡΠΊΡΠΏΠΎΡΡΠ° ΠΈ ΠΈΠΌΠΏΠΎΡΡΠ° ΡΠΎΠ²Π°ΡΠΎΠ², ΡΠΎΡΠ³ΠΎΠ²ΠΎΠ³ΠΎ ΡΠ°Π»ΡΠ΄ΠΎ, ΠΈΠΌΠΏΠΎΡΡΠΎΠ΅ΠΌΠΊΠΎΡΡΠΈ ΠΈ ΡΠΊΡΠΏΠΎΡΡΠΎΠΎΡΠΈΠ΅Π½ΡΠΈΡΠΎΠ²Π°Π½Π½ΠΎΡΡΠΈ ΡΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ, Π° ΡΠ°ΠΊΠΆΠ΅ ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π»Π° ΡΠ°Π·Π²ΠΈΡΠΈΡ Π΅Π΅ ΡΠΎΡΠ³ΠΎΠ²Π»ΠΈ Ρ ΠΏΠ°ΡΡΠ½Π΅ΡΠ°ΠΌΠΈ ΠΏΠΎ ΠΠ²ΡΠ°Π·ΠΈΠΉΡΠΊΠΎΠΌΡ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠΌΡ ΡΠΎΡΠ·Ρ (ΠΠΠΠ‘). ΠΡΠ»ΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½Ρ Π΄Π°Π½Π½ΡΠ΅ Π€Π’Π‘ Π ΠΎΡΡΠΈΠΈ, ΠΏΠ΅ΡΠ΅Π³ΡΡΠΏΠΏΠΈΡΠΎΠ²Π°Π½Π½ΡΠ΅ Π² ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΠΈΠΈ Ρ ΠΏΠΎΠ·ΠΈΡΠΈΡΠΌΠΈ ΠΠΠΠ Π΄Π»Ρ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΡ ΡΠΎΠ³Π»Π°ΡΠΎΠ²Π°Π½Π½ΠΎΡΡΠΈ ΡΠΎ ΡΡΠ°ΡΠΈΡΡΠΈΠΊΠΎΠΉ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎ ΡΠ΅ΠΊΡΠΎΡΠ° ΠΈ ΠΎΠ±ΡΠ΅Π΄ΠΈΠ½Π΅Π½Π½ΡΠ΅ Π² 40 Π³ΡΡΠΏΠΏ ΠΏΡΠΎΠΌΡΡΠ»Π΅Π½Π½ΡΡ
ΠΈ ΡΠ΅Π»ΡΡΠΊΠΎΡ
ΠΎΠ·ΡΠΉΡΡΠ²Π΅Π½Π½ΡΡ
Π²ΠΈΠ΄ΠΎΠ² ΠΏΡΠΎΠ΄ΡΠΊΡΠΈΠΈ ΡΠΊΡΠΏΠΎΡΡΠ° ΠΈ ΠΈΠΌΠΏΠΎΡΡΠ°. ΠΠ΅ΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΠΉ Π°ΡΠΏΠ΅ΠΊΡ Π² ΡΠ°Π·ΡΠ΅Π·Π΅ ΡΡΠΈΡ
Π²ΠΈΠ΄ΠΎΠ² ΠΏΡΠΎΠ΄ΡΠΊΡΠΈΠΈ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ Π΄Π²ΡΠΌΡ Π³ΡΡΠΏΠΏΠ°ΠΌΠΈ ΡΡΡΠ°Π½: Π³ΡΡΠΏΠΏΠ° ΡΡΡΠ°Π½ - ΠΏΠ°ΡΡΠ½Π΅ΡΠΎΠ² Π ΠΎΡΡΠΈΠΈ ΠΏΠΎ ΠΠΠΠ‘ (ΠΠΠΠ‘-4) Ρ Π²ΡΠ΄Π΅Π»Π΅Π½ΠΈΠ΅ΠΌ Π΄Π°Π½Π½ΡΡ
ΠΏΠΎ ΠΊΠ°ΠΆΠ΄ΠΎΠΉ ΡΡΡΠ°Π½Π΅ ΠΈ Π³ΡΡΠΏΠΏΠ° Β«Π΄ΡΡΠ³ΠΈΠ΅ ΡΡΡΠ°Π½Ρ ΠΌΠΈΡΠ°Β» (ΠΠ‘Π).Π ΠΏΠ΅ΡΠ²ΠΎΠΌΒ ΡΠ°Π·Π΄Π΅Π»Π΅ ΡΡΠ°ΡΡΠΈ Π΄Π°Π½Π° ΠΎΠ±ΡΠ°Ρ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠ° ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ Π²ΠΎ Π²Π½Π΅ΡΠ½Π΅ΠΉ ΡΠΎΡΠ³ΠΎΠ²Π»Π΅ Π ΠΎΡΡΠΈΠΈ Π·Π° 2014-2016 Π³Π³. ΠΈ ΡΠ°ΠΊΡΠΎΡΠΎΠ², ΠΎΠΏΡΠ΅Π΄Π΅Π»ΠΈΠ²ΡΠΈΡ
Π΅Π΅ Π½ΠΎΠ²ΡΠ΅ Π²Π½Π΅ΡΠ½ΠΈΠ΅ ΠΈ Π²Π½ΡΡΡΠ΅Π½Π½ΠΈΠ΅ ΡΡΠ»ΠΎΠ²ΠΈΡ. ΠΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Ρ ΠΎΡΠ΅Π½ΠΊΠΈ ΠΈ Π²ΡΠ²ΠΎΠ΄Ρ, ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΡΠ΅ ΠΏΡΠΈ Π°Π½Π°Π»ΠΈΠ·Π΅ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ ΡΠΎΡΠ³ΠΎΠ²ΠΎΠ³ΠΎ ΡΠ°Π»ΡΠ΄ΠΎ Π ΠΎΡΡΠΈΠΈ ΠΏΠΎ Π²ΠΈΠ΄Π°ΠΌ ΠΏΡΠΎΠ΄ΡΠΊΡΠΈΠΈ Ρ Π³ΡΡΠΏΠΏΠΎΠΉ ΡΡΡΠ°Π½ ΠΠΠΠ‘-4 ΠΈ ΠΠ‘Π, ΠΈΠΌΠΏΠΎΡΡΠΎΠ΅ΠΌΠΊΠΎΡΡΠΈ ΡΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ ΠΈ ΡΠΊΡΠΏΠΎΡΡΠΎΠΎΡΠΈΠ΅Π½ΡΠΈΡΠΎΠ²Π°Π½Π½ΠΎΡΡΠΈ Π΅Π΅ ΠΎΡΡΠ°ΡΠ»Π΅ΠΉ. ΠΡΠΎΡΠ°Ρ ΡΠ°ΡΡΡ ΡΡΠ°ΡΡΠΈ ΠΏΠΎΡΠ²ΡΡΠ΅Π½Π° ΠΈΠ·Π»ΠΎΠΆΠ΅Π½ΠΈΡ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠ² Π°Π½Π°Π»ΠΈΠ·Π° ΡΠΎΡΠ³ΠΎΠ²Π»ΠΈ Π ΠΎΡΡΠΈΠΈ Ρ ΠΊΠ°ΠΆΠ΄ΠΎΠΉ ΠΈΠ· ΡΡΡΠ°Π½ ΠΠΠΠ‘-4. ΠΡ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΠΎΠ²Π°Π½Ρ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠΈ Π²ΠΈΠ΄ΠΎΠ²ΠΎΠΉ ΡΡΡΡΠΊΡΡΡΡ ΡΠΎΡΠ³ΠΎΠ²Π»ΠΈ Π ΠΎΡΡΠΈΠΈ Ρ ΠΊΠ°ΠΆΠ΄ΠΎΠΉ ΠΈΠ· ΡΡΡΠ°Π½ ΠΠΠΠ‘-4, ΠΊΠΎΠ½ΠΊΡΠ΅ΡΠΈΠ·ΠΈΡΠΎΠ²Π°Π½ ΡΠ΅Π·ΠΈΡ ΠΎ Π²Π·Π°ΠΈΠΌΠ½ΠΎΠΉ Π΄ΠΎΠΏΠΎΠ»Π½ΡΠ΅ΠΌΠΎΡΡΠΈ ΠΈΡ
ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊ. ΠΡΠΈΠ²Π΅Π΄Π΅Π½Ρ ΠΎΡΠ΅Π½ΠΊΠΈ ΡΠΎΠ»ΠΈ ΡΠΎΡΠ³ΠΎΠ²Π»ΠΈ Ρ ΠΊΠ°ΠΆΠ΄ΠΎΠΉ ΡΡΡΠ°Π½ΠΎΠΉ Π² ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΠΈ ΠΏΠΎΡΡΠ΅Π±Π½ΠΎΡΡΠ΅ΠΉ Π ΠΎΡΡΠΈΠΈ Π² ΠΈΠΌΠΏΠΎΡΡΠ΅ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
Π²ΠΈΠ΄ΠΎΠ² ΠΏΡΠΎΠ΄ΡΠΊΡΠΈΠΈ ΠΈ ΡΠ°Π·Π²ΠΈΡΠΈΠΈ ΡΠΎΡΡΠΈΠΉΡΠΊΠΈΡ
ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²; ΠΎΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½Ρ Π²ΡΠ²ΠΎΠ΄Ρ ΠΎ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ Π±ΠΎΠ»Π΅Π΅ ΠΏΠΎΠ»Π½ΠΎΠ³ΠΎ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ ΠΈΠ½ΡΠ΅Π³ΡΠ°ΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π»Π° Π²Π½Π΅ΡΠ½Π΅ΡΠΎΡΠ³ΠΎΠ²ΡΡ
ΡΠ²ΡΠ·Π΅ΠΉ ΠΌΠ΅ΠΆΠ΄Ρ Π ΠΎΡΡΠΈΠ΅ΠΉ ΠΈ ΡΡΡΠ°Π½Π°ΠΌΠΈ-ΠΏΠ°ΡΡΠ½Π΅ΡΠ°ΠΌΠΈ ΠΏΠΎ ΠΠΠΠ‘.ΠΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΡΡ Π²ΡΠΏΠΎΠ»Π½Π΅Π½Π½ΠΎΠ³ΠΎ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠ²Π»ΡΠ΅ΡΡΡ Π²ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅ Π² Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠΈΠΉ ΠΎΠ±ΠΎΡΠΎΡ ΠΎΠ±ΡΠΈΡΠ½ΠΎΠ³ΠΎ ΡΠ°Π±Π»ΠΈΡΠ½ΠΎΠ³ΠΎ ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π»Π° Ρ Π΄Π°Π½Π½ΡΠΌΠΈ ΡΡΡΡΠΊΡΡΡΠ½ΠΎΠ³ΠΎ, Π΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ, ΡΠΎΠΏΠΎΡΡΠ°Π²ΠΈΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠ°, ΠΏΡΠΈΡ
ΠΎΠ΄ΡΡΠΈΠΌΠΈΡΡ Π½Π° ΠΏΠ΅ΡΠΈΠΎΠ΄ Π°Π΄Π°ΠΏΡΠ°ΡΠΈΠΈΒ Π²Π½Π΅ΡΠ½Π΅ΠΉ ΡΠΎΡΠ³ΠΎΠ²Π»ΠΈ Π ΠΎΡΡΠΈΠΈ ΠΊ ΡΠ°Π΄ΠΈΠΊΠ°Π»ΡΠ½ΠΎΠΌΡ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΡ ΡΠ΅Π½ Π½Π° ΠΌΠΈΡΠΎΠ²ΠΎΠΌ ΡΠ½Π΅ΡΠ³Π΅ΡΠΈΡΠ΅ΡΠΊΠΎΠΌ ΡΡΠ½ΠΊΠ΅ ΠΈ Π΄ΡΡΠ³ΠΈΠΌ Π²Π½Π΅ΡΠ½ΠΈΠΌ ΡΠ°ΠΊΡΠΎΡΠ°ΠΌ. ΠΠΎΡΠ»Π΅Π΄Π½ΠΈΠ΅, ΠΏΠΎ ΠΌΠ½Π΅Π½ΠΈΡ Π°Π²ΡΠΎΡΠΎΠ², ΠΌΠΎΠ³ΡΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΡΡΡ ΠΏΠΎ ΡΠΈΡΠΎΠΊΠΎΠΌΡ ΡΠΏΠ΅ΠΊΡΡΡ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΠΉ ΠΌΠ°ΠΊΡΠΎΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ, Π²ΠΊΠ»ΡΡΠ°Ρ ΠΎΡΠ΅Π½ΠΊΠΈ ΠΈΠ½ΡΠ΅Π³ΡΠ°ΡΠΈΠΎΠ½Π½ΡΡ
ΡΡΡΠ΅ΠΊΡΠΎΠ² ΠΠΠΠ‘
ΠΠ°ΡΠ΅ΡΡΠ²ΠΎ ΠΈ ΡΠ°ΠΊΡΠΎΡΡ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ: Π²ΠΎΠΏΡΠΎΡΡ ΠΎΡΠ΅Π½ΠΊΠΈ ΠΈ Π°Π½Π°Π»ΠΈΠ·Π°
With the exhaustion of the extensive factors of economic growth and the shift of development goals towards the quality of life, the quality of growth becomes the main condition for the further development of the countryβs economy and social progress. This article addresses the multifaceted concept of the quality of economic growth and its content not only on the part of growth characteristics as dynamism, stability, consistency, efficiency, and progressiveness but also results of social development and inclusiveness of growth, as well as their determining factors. The interconnection, mutual support, and competitiveness of selected components of growth and its factors, including dynamism and growth inclusiveness are reviewed. The authors focus on the importance of understanding inclusiveness as creating equal, non-discriminatory conditions for the development of all population groups and economic entities, and not just the even distribution of development results. It is noted that the quality of growth is relevant as a link between current growth and sustainable development in the long term. It is essential to consider the quality of growth not only as a result of development but as a factor and condition for further progress, which is not yet fully reflected in the modern systems of development indices used by international organizations. A system of indicators of the quality of economic development should be developed according to the expansion of the concept of quality of growth. Using the advancement of the theory of endogenous growth makes it possible to assess the role of individual factors in economic growth. Along with fixed asset investments, the leading role in modern conditions is taken on by the quality of human capital, in the formation of which participate education, healthcare, science, and culture, while education, taking into account its vital role in the emergence of a new (VI) technological paradigm, deals with raising and nurturing the creative generation of young people who will shape the new order. The contribution of these industries to the long-term growth of the economy significantly exceeds their development costs. Considerable attention is paid to the study of factors determining the quality of education in general, especially at the regional level. It is noted that amidst the development of modern technologies responsible for the transfer of data and knowledge, as well as standardization and regulation of the processes of providing services, it is necessary to maintain the content of education services, their focus on the shaping of a creative personality and transferring creative work skills. Only this will ensure the countryβs participation and its benefits in the creation of a new technological structure.The article examines factors that most affect the level and quality of education, and touch upon differentiation of regions according to these indicators. Among them: the state of the material and technical base, personnel availability and qualifications, terms for the provision of services, and others. The authors delve into the influence of region resource provision factors, remoteness from labour force centers of gravity and emerging research centers, as well as national particularities and historical background of the regions. The data on the βpersonnel migrationβ of young people of educational and post-educational age are presented. Relevant conclusions are made about some depletion of this resource in several remote regions. The efforts of the regions and the redistribution of funds through the federal budget, as well as business eff orts, are not enough to reduce the regional differentiation in education quality. This requires tailored solutions allowing to use the potential of young people from remote regions and regions not affected by scientific centralization, as an important human development factor. The paper considers directions for solving this problem.Π ΡΡΠ»ΠΎΠ²ΠΈΡΡ
ΠΈΡΡΠ΅ΡΠΏΠ°Π½ΠΈΡ ΡΠΊΡΡΠ΅Π½ΡΠΈΠ²Π½ΡΡ
ΡΠ°ΠΊΡΠΎΡΠΎΠ² ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠΎΡΡΠ° ΠΈ ΡΠΌΠ΅ΡΠ΅Π½ΠΈΡ ΡΠ΅Π»Π΅ΠΉ ΡΠ°Π·Π²ΠΈΡΠΈΡ Π² ΡΡΠΎΡΠΎΠ½Ρ ΠΊΠ°ΡΠ΅ΡΡΠ²Π° ΠΆΠΈΠ·Π½ΠΈ ΠΊΠ°ΡΠ΅ΡΡΠ²ΠΎ ΡΠΎΡΡΠ° ΡΡΠ°Π½ΠΎΠ²ΠΈΡΡΡ Π³Π»Π°Π²Π½ΡΠΌ ΡΡΠ»ΠΎΠ²ΠΈΠ΅ΠΌ Π΄Π°Π»ΡΠ½Π΅ΠΉΡΠ΅Π³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ ΡΡΡΠ°Π½Ρ ΠΈ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΏΡΠΎΠ³ΡΠ΅ΡΡΠ°. Π ΡΡΠ°ΡΡΠ΅ ΠΈΡΡΠ»Π΅Π΄ΡΠ΅ΡΡΡ ΠΌΠ½ΠΎΠ³ΠΎΠ°ΡΠΏΠ΅ΠΊΡΠ½ΠΎΠ΅ ΠΏΠΎΠ½ΡΡΠΈΠ΅ ΠΊΠ°ΡΠ΅ΡΡΠ²Π° ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠΎΡΡΠ° ΠΈ Π΅Π³ΠΎ ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΠ΅ Π½Π΅ ΡΠΎΠ»ΡΠΊΠΎ ΡΠΎ ΡΡΠΎΡΠΎΠ½Ρ ΡΠ°ΠΊΠΈΡ
Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊ ΡΠΎΡΡΠ°, ΠΊΠ°ΠΊ Π΄ΠΈΠ½Π°ΠΌΠΈΡΠ½ΠΎΡΡΡ, ΡΡΡΠΎΠΉΡΠΈΠ²ΠΎΡΡΡ, ΡΠΎΡΡΠΎΡΡΠ΅Π»ΡΠ½ΠΎΡΡΡ, ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΡ ΠΈ ΠΏΡΠΎΠ³ΡΠ΅ΡΡΠΈΠ²Π½ΠΎΡΡΡ, Π½ΠΎ ΠΈ ΡΠΎ ΡΡΠΎΡΠΎΠ½Ρ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠ² ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΈ ΠΈΠ½ΠΊΠ»ΡΠ·ΠΈΠ²Π½ΠΎΡΡΠΈ ΡΠΎΡΡΠ°, Π° ΡΠ°ΠΊΠΆΠ΅ ΡΠ°ΠΊΡΠΎΡΠΎΠ², ΠΈΡ
ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΡΡΠΈΡ
. Π Π°ΡΠΊΡΡΠ²Π°Π΅ΡΡΡ Π²Π·Π°ΠΈΠΌΠΎΡΠ²ΡΠ·Ρ, Π²Π·Π°ΠΈΠΌΠΎΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΠ° ΠΈ ΠΊΠΎΠ½ΠΊΡΡΠ΅Π½ΡΠ½ΠΎΡΡΡ ΠΎΡΠ΄Π΅Π»ΡΠ½ΡΡ
ΡΠΎΡΡΠ°Π²Π»ΡΡΡΠΈΡ
ΡΠΎΡΡΠ° ΠΈ Π΅Π³ΠΎ ΡΠ°ΠΊΡΠΎΡΠΎΠ², Π² ΡΠΎΠΌ ΡΠΈΡΠ»Π΅ Π΄ΠΈΠ½Π°ΠΌΠΈΡΠ½ΠΎΡΡΠΈ ΠΈ ΠΈΠ½ΠΊΠ»ΡΠ·ΠΈΠ²Π½ΠΎΡΡΠΈ ΡΠΎΡΡΠ°. Π£ΠΊΠ°Π·ΡΠ²Π°Π΅ΡΡΡ Π½Π° Π²Π°ΠΆΠ½ΠΎΡΡΡ ΠΏΠΎΠ½ΠΈΠΌΠ°Π½ΠΈΡ ΠΈΠ½ΠΊΠ»ΡΠ·ΠΈΠ²Π½ΠΎΡΡΠΈ ΠΊΠ°ΠΊ ΡΠΎΠ·Π΄Π°Π½ΠΈΡ ΡΠ°Π²Π½ΡΡ
, Π½Π΅Π΄ΠΈΡΠΊΡΠΈΠΌΠΈΠ½Π°ΡΠΈΠΎΠ½Π½ΡΡ
ΡΡΠ»ΠΎΠ²ΠΈΠΉ Π΄Π»Ρ ΡΠ°Π·Π²ΠΈΡΠΈΡ Π²ΡΠ΅Ρ
Π³ΡΡΠΏΠΏ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΠΈ ΡΡΠ±ΡΠ΅ΠΊΡΠΎΠ² ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ, Π° Π½Π΅ ΡΠΎΠ»ΡΠΊΠΎ ΡΠ°Π²Π½ΠΎΠΌΠ΅ΡΠ½ΠΎΠ³ΠΎ ΡΠ°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½ΠΈΡ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠ² ΡΠ°Π·Π²ΠΈΡΠΈΡ. ΠΡΠΌΠ΅ΡΠ°Π΅ΡΡΡ Π·Π½Π°ΡΠ΅Π½ΠΈΠ΅ ΠΊΠ°ΡΠ΅ΡΡΠ²Π° ΡΠΎΡΡΠ° ΠΊΠ°ΠΊ ΡΠ²ΡΠ·ΡΡΡΠ΅Π³ΠΎ Π·Π²Π΅Π½Π° ΡΠ΅ΠΊΡΡΠ΅Π³ΠΎ ΡΠΎΡΡΠ° ΠΈ ΡΡΡΠΎΠΉΡΠΈΠ²ΠΎΠ³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ Π² Π΄ΠΎΠ»Π³ΠΎΡΡΠΎΡΠ½ΠΎΠΉ ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Π΅. ΠΡΠΈ ΡΡΠΎΠΌ Π²Π°ΠΆΠ½ΠΎ ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°ΡΡ ΠΊΠ°ΡΠ΅ΡΡΠ²ΠΎ ΡΠΎΡΡΠ° Π½Π΅ ΡΠΎΠ»ΡΠΊΠΎ ΠΊΠ°ΠΊ ΡΠ΅Π·ΡΠ»ΡΡΠ°Ρ ΡΠ°Π·Π²ΠΈΡΠΈΡ, Π½ΠΎ ΠΈ ΠΊΠ°ΠΊ ΡΠ°ΠΊΡΠΎΡ ΠΈ ΡΡΠ»ΠΎΠ²ΠΈΠ΅ Π΄Π°Π»ΡΠ½Π΅ΠΉΡΠ΅Π³ΠΎ ΠΏΡΠΎΠ³ΡΠ΅ΡΡΠ°, ΡΡΠΎ ΠΏΠΎΠΊΠ° Π½Π΅ Π²ΠΏΠΎΠ»Π½Π΅ ΠΎΡΡΠ°ΠΆΠ°Π΅ΡΡΡ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΠΌΠΈ ΡΠΈΡΡΠ΅ΠΌΠ°ΠΌΠΈ ΠΈΠ½Π΄Π΅ΠΊΡΠΎΠ² ΡΠ°Π·Π²ΠΈΡΠΈΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΠ΅ΠΌΡΠΌΠΈ ΠΌΠ΅ΠΆΠ΄ΡΠ½Π°ΡΠΎΠ΄Π½ΡΠΌΠΈ ΠΎΡΠ³Π°Π½ΠΈΠ·Π°ΡΠΈΡΠΌΠΈ. Π‘ΠΎΠΎΡΠ²Π΅ΡΡΡΠ²Π΅Π½Π½ΠΎ ΡΠ°ΡΡΠΈΡΠ΅Π½ΠΈΡ ΠΏΠΎΠ½ΡΡΠΈΡ ΠΊΠ°ΡΠ΅ΡΡΠ²Π° ΡΠΎΡΡΠ° Π΄ΠΎΠ»ΠΆΠ½Π° ΡΠ°Π·Π²ΠΈΠ²Π°ΡΡΡΡ ΡΠΈΡΡΠ΅ΠΌΠ° ΠΈΠ½Π΄ΠΈΠΊΠ°ΡΠΎΡΠΎΠ² ΠΊΠ°ΡΠ΅ΡΡΠ²Π° ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ. ΠΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ Π΄ΠΎΡΡΠΈΠΆΠ΅Π½ΠΈΠΉ ΡΠ΅ΠΎΡΠΈΠΈ ΡΠ½Π΄ΠΎΠ³Π΅Π½Π½ΠΎΠ³ΠΎ ΡΠΎΡΡΠ° ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ ΠΎΡΠ΅Π½ΠΈΡΡ Π²ΠΊΠ»Π°Π΄ ΠΎΡΠ΄Π΅Π»ΡΠ½ΡΡ
ΡΠ°ΠΊΡΠΎΡΠΎΠ² Π² ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΠΉ ΡΠΎΡΡ. ΠΠΎΠΊΠ°Π·ΡΠ²Π°Π΅ΡΡΡ, ΡΡΠΎ Π½Π°ΡΡΠ΄Ρ Ρ ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΡΠΌΠΈ Π² ΠΎΡΠ½ΠΎΠ²Π½ΠΎΠΉ ΠΊΠ°ΠΏΠΈΡΠ°Π» Π²Π΅Π΄ΡΡΡΡ ΡΠΎΠ»Ρ Π² ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
ΡΡΠ»ΠΎΠ²ΠΈΡΡ
ΠΏΡΠΈΠΎΠ±ΡΠ΅ΡΠ°Π΅Ρ ΠΊΠ°ΡΠ΅ΡΡΠ²ΠΎ ΡΠ΅Π»ΠΎΠ²Π΅ΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΊΠ°ΠΏΠΈΡΠ°Π»Π°, Π² ΡΠΎΠ·Π΄Π°Π½ΠΈΠΈ ΠΊΠΎΡΠΎΡΠΎΠ³ΠΎ ΡΡΠ°ΡΡΠ²ΡΡΡ ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΠ΅, Π·Π΄ΡΠ°Π²ΠΎΠΎΡ
ΡΠ°Π½Π΅Π½ΠΈΠ΅, Π½Π°ΡΠΊΠ° ΠΈ ΠΊΡΠ»ΡΡΡΡΠ°, ΠΏΡΠΈ ΡΡΠΎΠΌ Π²Π΅Π΄ΡΡΠ΅Π΅ Π·Π½Π°ΡΠ΅Π½ΠΈΠ΅ Π² ΠΏΠ΅ΡΠΈΠΎΠ΄ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π½ΠΎΠ²ΠΎΠ³ΠΎ (VI) ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠΊΠ»Π°Π΄Π° ΠΏΡΠΈΠΎΠ±ΡΠ΅ΡΠ°Π΅Ρ ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΠ΅, Ρ ΡΡΠ΅ΡΠΎΠΌ Π²ΠΎΡΠΏΠΈΡΠ°Π½ΠΈΡ ΡΠ²ΠΎΡΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΏΠΎΠΊΠΎΠ»Π΅Π½ΠΈΡ ΠΌΠΎΠ»ΠΎΠ΄Π΅ΠΆΠΈ, ΠΊΠΎΡΠΎΡΠ°Ρ Π±ΡΠ΄Π΅Ρ ΡΠΎΠ·Π΄Π°Π²Π°ΡΡ ΡΡΠΎΡ ΡΠΊΠ»Π°Π΄. ΠΠΊΠ»Π°Π΄ ΡΡΠΈΡ
ΠΎΡΡΠ°ΡΠ»Π΅ΠΉ Π² Π΄ΠΎΠ»Π³ΠΎΡΡΠΎΡΠ½ΡΠΉ ΡΠΎΡΡ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ Π·Π½Π°ΡΠΈΡΠ΅Π»ΡΠ½ΠΎ ΠΏΡΠ΅Π²ΡΡΠ°Π΅Ρ Π·Π°ΡΡΠ°ΡΡ Π½Π° ΠΈΡ
ΡΠ°Π·Π²ΠΈΡΠΈΠ΅. ΠΠΎΠ»ΡΡΠΎΠ΅ Π²Π½ΠΈΠΌΠ°Π½ΠΈΠ΅ Π² ΡΡΠ°ΡΡΠ΅ ΡΠ΄Π΅Π»ΡΠ΅ΡΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠ°ΠΊΡΠΎΡΠΎΠ², ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΡΡΠΈΡ
ΠΊΠ°ΡΠ΅ΡΡΠ²ΠΎ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠ² ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΡ Π² ΡΠ΅Π»ΠΎΠΌ, ΠΈ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎ, Π² ΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠΌ ΡΠ°Π·ΡΠ΅Π·Π΅. ΠΡΠΌΠ΅ΡΠ°Π΅ΡΡΡ, ΡΡΠΎ Π² ΡΡΠ»ΠΎΠ²ΠΈΡΡ
ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ ΠΏΠ΅ΡΠ΅Π΄Π°ΡΠΈ Π΄Π°Π½Π½ΡΡ
ΠΈ Π·Π½Π°Π½ΠΈΠΉ, Π° ΡΠ°ΠΊΠΆΠ΅ ΡΡΠ°Π½Π΄Π°ΡΡΠΈΠ·Π°ΡΠΈΠΈ ΠΈ ΡΠ΅Π³Π»Π°ΠΌΠ΅Π½ΡΠ°ΡΠΈΠΈ ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ² ΠΏΡΠ΅Π΄ΠΎΡΡΠ°Π²Π»Π΅Π½ΠΈΡ ΡΡΠ»ΡΠ³ Π²Π°ΠΆΠ½ΠΎ ΡΠΎΡ
ΡΠ°Π½ΡΡΡ ΡΠΎΠ΄Π΅ΡΠΆΠ°ΡΠ΅Π»ΡΠ½ΡΡ ΡΡΠΎΡΠΎΠ½Ρ ΡΡΠ»ΡΠ³ ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΡ, Π½Π°ΡΠ΅Π»Π΅Π½Π½ΠΎΡΡΠΈ ΠΈΡ
Π½Π° ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΡΠ²ΠΎΡΡΠ΅ΡΠΊΠΎΠΉ Π»ΠΈΡΠ½ΠΎΡΡΠΈ ΠΈ ΠΏΠ΅ΡΠ΅Π΄Π°ΡΡ Π½Π°Π²ΡΠΊΠΎΠ² ΡΠ²ΠΎΡΡΠ΅ΡΠΊΠΎΠΉ ΡΠ°Π±ΠΎΡΡ. Π’ΠΎΠ»ΡΠΊΠΎ ΡΡΠΎ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠΈΡ ΡΡΠ°ΡΡΠΈΠ΅ ΠΈ ΠΏΡΠ΅ΠΈΠΌΡΡΠ΅ΡΡΠ²Π° Π΄Π»Ρ ΡΡΡΠ°Π½Ρ Π² ΡΠΎΠ·Π΄Π°Π½ΠΈΠΈ Π½ΠΎΠ²ΠΎΠ³ΠΎ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠΊΠ»Π°Π΄Π°.ΠΡΡΠ»Π΅Π΄ΡΡΡΡΡ ΡΠ°ΠΊΡΠΎΡΡ, Π² Π½Π°ΠΈΠ±ΠΎΠ»ΡΡΠ΅ΠΉ ΡΡΠ΅ΠΏΠ΅Π½ΠΈ Π²Π»ΠΈΡΡΡΠΈΠ΅ Π½Π° ΡΡΠΎΠ²Π΅Π½Ρ ΠΈ ΠΊΠ°ΡΠ΅ΡΡΠ²ΠΎ ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΡ, Π° ΡΠ°ΠΊΠΆΠ΅ Π΄ΠΈΡΡΠ΅ΡΠ΅Π½ΡΠΈΠ°ΡΠΈΡ ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠ² ΠΏΠΎ ΡΡΠΈΠΌ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΡΠΌ, Π² ΡΠΎΠΌ ΡΠΈΡΠ»Π΅: ΡΠΎΡΡΠΎΡΠ½ΠΈΠ΅ ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π»ΡΠ½ΠΎ-ΡΠ΅Ρ
Π½ΠΈΡΠ΅ΡΠΊΠΎΠΉ Π±Π°Π·Ρ, Π½Π°Π»ΠΈΡΠΈΠ΅ ΠΈ ΠΊΠ²Π°Π»ΠΈΡΠΈΠΊΠ°ΡΠΈΡ ΠΊΠ°Π΄ΡΠΎΠ², ΡΡΠ»ΠΎΠ²ΠΈΡ ΠΏΡΠ΅Π΄ΠΎΡΡΠ°Π²Π»Π΅Π½ΠΈΡ ΡΡΠ»ΡΠ³ ΠΈ Π΄ΡΡΠ³ΠΈΠ΅. ΠΠ·ΡΡΠ°Π΅ΡΡΡ Π²Π»ΠΈΡΠ½ΠΈΠ΅ ΡΠ°ΠΊΡΠΎΡΠΎΠ² ΡΠ΅ΡΡΡΡΠ½ΠΎΠΉ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½Π½ΠΎΡΡΠΈ ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠ², ΡΠ΄Π°Π»Π΅Π½Π½ΠΎΡΡΠΈ ΠΎΡ ΡΠ΅Π½ΡΡΠΎΠ² ΠΏΡΠΈΡΡΠΆΠ΅Π½ΠΈΡ ΠΊΠ°Π΄ΡΠΎΠ² ΠΈ ΡΠΎΡΠΌΠΈΡΡΡΡΠΈΡ
ΡΡ Π½Π°ΡΡΠ½ΡΡ
ΡΠ΅Π½ΡΡΠΎΠ², Π½Π°ΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎ-ΠΈΡΡΠΎΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠ΅ΠΉ ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠ². ΠΡΠΈΠ²ΠΎΠ΄ΡΡΡΡ Π΄Π°Π½Π½ΡΠ΅ ΠΏΠΎ Β«ΠΊΠ°Π΄ΡΠΎΠ²ΠΎΠΉ ΠΌΠΈΠ³ΡΠ°ΡΠΈΠΈΒ» ΠΌΠΎΠ»ΠΎΠ΄Π΅ΠΆΠΈ ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°ΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎ ΠΈ ΠΏΠΎΡΡΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°ΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎ Π²ΠΎΠ·ΡΠ°ΡΡΠ° ΠΈ Π΄Π΅Π»Π°ΡΡΡΡ ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΡΡΡΠΈΠ΅ Π²ΡΠ²ΠΎΠ΄Ρ ΠΎ Π½Π΅ΠΊΠΎΡΠΎΡΠΎΠΌ ΠΈΡΡΠΎΡΠ΅Π½ΠΈΠΈ ΡΡΠΎΠ³ΠΎ ΡΠ΅ΡΡΡΡΠ° Π² ΡΡΠ΄Π΅ ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠ². ΠΡΠΌΠ΅ΡΠ°Π΅ΡΡΡ, ΡΡΠΎ Π΄Π»Ρ ΡΠΌΠ΅Π½ΡΡΠ΅Π½ΠΈΡ Π΄ΠΈΡΡΠ΅ΡΠ΅Π½ΡΠΈΠ°ΡΠΈΠΈ ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠ² ΠΏΠΎ ΠΊΠ°ΡΠ΅ΡΡΠ²Ρ ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΡ Π½Π΅Π΄ΠΎΡΡΠ°ΡΠΎΡΠ½ΠΎ ΡΡΠΈΠ»ΠΈΠΉ ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠ² ΠΈ ΠΏΠ΅ΡΠ΅ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ ΡΡΠ΅Π΄ΡΡΠ² ΡΠ΅ΡΠ΅Π· ΡΠ΅Π΄Π΅ΡΠ°Π»ΡΠ½ΡΠΉ Π±ΡΠ΄ΠΆΠ΅Ρ, Π° ΡΠ°ΠΊΠΆΠ΅ ΡΡΠΈΠ»ΠΈΠΉ Π±ΠΈΠ·Π½Π΅ΡΠ°. ΠΠ΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΡ Π½Π΅ΡΡΠ°Π½Π΄Π°ΡΡΠ½ΡΠ΅ ΡΠ΅ΡΠ΅Π½ΠΈΡ, ΠΊΠΎΡΠΎΡΡΠ΅ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΡ ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π» ΠΌΠΎΠ»ΠΎΠ΄Π΅ΠΆΠΈ Π² ΠΎΡΠ΄Π°Π»Π΅Π½Π½ΡΡ
ΠΈ Π½Π΅Π·Π°ΡΡΠΎΠ½ΡΡΡΡ
Π½Π°ΡΡΠ½ΠΎΠΉ ΡΠ΅Π½ΡΡΠ°Π»ΠΈΠ·Π°ΡΠΈΠ΅ΠΉ ΡΠ΅Π³ΠΈΠΎΠ½Π°Ρ
, ΠΊΠ°ΠΊ Π²Π°ΠΆΠ½ΡΠΉ ΡΠ΅Π»ΠΎΠ²Π΅ΡΠ΅ΡΠΊΠΈΠΉ ΡΠ°ΠΊΡΠΎΡ ΡΠ°Π·Π²ΠΈΡΠΈΡ. Π Π°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°ΡΡΡΡ Π½Π΅ΠΊΠΎΡΠΎΡΡΠ΅ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΡΠ΅ΡΠ΅Π½ΠΈΡ ΡΡΠΎΠΉ ΠΏΡΠΎΠ±Π»Π΅ΠΌΡ
ΠΠ‘Π‘ΠΠΠΠΠΠΠΠΠ ΠΠΠΠΠΠΠΠ§ΠΠ‘ΠΠΠ ΠΠΠΠΠΠΠΠ Π ΠΠΠΠ‘ΠΠΠΠΠΠΠ Π€ΠΠΠ’ΠΠ ΠΠ Π ΠΠ‘Π’Π
The study of economic dynamics and growth factors that form potential and real GDP is an essential condition for justifying theΒ ways for the Russian economy to surpass the worldβs average growth rate. This suggests the use of reliable and representative statisticsΒ and models that include both general economic variables and factors, and factors specific for the Russian economy in its current state.Β The authors outline problems of constructing a factor model corresponding to the specifics of the Russian economy and assessingΒ the impact of factors on economic growth, primarily on the dynamics of the potential GDP. The composition of the potential GDPΒ growth factors is substantiated. The role of conjuncture factors in supporting the growth is determined, for the most part due to internalΒ causes. An accounting method for the innovation factor based on evaluation of the innovation fund and its contribution to economicΒ growth is proposed. The article shows that at the turn of the 2000s and 2010s, and to a greater extent - after 2012, when the economyΒ entered the last cyclical crisis, the structure of economic growth factors has been significantly changing.Β The article describes characteristics of the rebound from cyclical recession, which is currently being recorded. This creates conditionsΒ for a new cyclical upturn, which can be supported by the corresponding economic policy. The choice of economic growth factors inΒ mid-term perspective is argued.ΠΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ ΠΈ ΡΠ°ΠΊΡΠΎΡΠΎΠ² ΡΠΎΡΡΠ°, ΡΠΎΡΠΌΠΈΡΡΡΡΠΈΡ
ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π»ΡΠ½ΡΠΉ ΠΈ ΡΠ΅Π°Π»ΡΠ½ΡΠΉ ΠΠΠ, ΡΠ²Π»ΡΠ΅ΡΡΡ Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΡΠΌ ΡΡΠ»ΠΎΠ²ΠΈΠ΅ΠΌ Π΄Π»Ρ ΠΎΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΡ ΠΏΡΡΠ΅ΠΉ Π²ΡΡ
ΠΎΠ΄Π° ΡΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ Π½Π° ΡΠ΅ΠΌΠΏΡ ΡΠΎΡΡΠ°, ΠΏΡΠ΅Π²ΡΡΠ°ΡΡΠΈΠ΅ ΡΡΠ΅Π΄Π½Π΅ΠΌΠΈΡΠΎΠ²ΡΠ΅. ΠΡΠΎΒ ΠΏΡΠ΅Π΄ΠΏΠΎΠ»Π°Π³Π°Π΅Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ Π΄ΠΎΡΡΠΎΠ²Π΅ΡΠ½ΠΎΠΉ ΠΈ ΡΠ΅ΠΏΡΠ΅Π·Π΅Π½ΡΠ°ΡΠΈΠ²Π½ΠΎΠΉ ΡΡΠ°ΡΠΈΡΡΠΈΠΊΠΈ ΠΈ ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ, Π²ΠΊΠ»ΡΡΠ°ΡΡΠΈΡ
ΠΊΠ°ΠΊ ΠΎΠ±ΡΠ΅ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΠ΅Β ΠΏΠ΅ΡΠ΅ΠΌΠ΅Π½Π½ΡΠ΅ ΠΈ ΡΠ°ΠΊΡΠΎΡΡ, ΡΠ°ΠΊ ΠΈ ΡΠΏΠ΅ΡΠΈΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ Π΄Π»Ρ ΡΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ ΡΠ°ΠΊΡΠΎΡΡ ΠΈ ΡΡΠ»ΠΎΠ²ΠΈΡ Π½Π° ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΠΌ ΡΡΠ°ΠΏΠ΅ Π΅Π΅ ΡΠ°Π·Π²ΠΈΡΠΈΡ.Β ΠΠ²ΡΠΎΡΠ°ΠΌΠΈ ΠΈΠ·Π»Π°Π³Π°ΡΡΡΡ ΠΏΡΠΎΠ±Π»Π΅ΠΌΡ ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΡ ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΡΡΡΠ΅ΠΉ ΡΠΏΠ΅ΡΠΈΡΠΈΠΊΠ΅ ΡΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ ΡΠ°ΠΊΡΠΎΡΠ½ΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΈ ΠΎΡΠ΅Π½ΠΊΠΈΒ Π²Π»ΠΈΡΠ½ΠΈΡ ΡΠ°ΠΊΡΠΎΡΠΎΠ² Π½Π° ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΠΉ ΡΠΎΡΡ, ΠΏΡΠ΅ΠΆΠ΄Π΅ Π²ΡΠ΅Π³ΠΎ Π½Π° Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΡ ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΠΠ. ΠΠ±ΠΎΡΠ½ΠΎΠ²ΡΠ²Π°Π΅ΡΡΡ ΡΠΎΡΡΠ°Π² ΡΠ°ΠΊΡΠΎΡΠΎΠ²,Β ΡΠΎΡΠΌΠΈΡΡΡΡΠΈΡ
ΡΠΎΡΡ ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΠΠ. ΠΡΡΠ²Π»ΡΠ΅ΡΡΡ ΡΠΎΠ»Ρ ΠΊΠΎΠ½ΡΡΠ½ΠΊΡΡΡΠ½ΡΡ
ΡΠ°ΠΊΡΠΎΡΠΎΠ² Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΠ΅ ΡΠΎΡΡΠ°, ΠΎΠ±ΡΡΠ»ΠΎΠ²Π»Π΅Π½Π½ΠΎΠ³ΠΎ ΠΏΡΠ΅ΠΆΠ΄Π΅Β Π²ΡΠ΅Π³ΠΎ Π²Π½ΡΡΡΠ΅Π½Π½ΠΈΠΌΠΈ ΠΏΡΠΈΡΠΈΠ½Π°ΠΌΠΈ. ΠΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½ ΠΌΠ΅ΡΠΎΠ΄ ΡΡΠ΅ΡΠ° ΠΈΠ½Π½ΠΎΠ²Π°ΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ ΡΠ°ΠΊΡΠΎΡΠ° Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΠΎΡΠ΅Π½ΠΊΠΈ ΠΈΠ½Π½ΠΎΠ²Π°ΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ ΡΠΎΠ½Π΄Π° ΠΈ Π΅Π³ΠΎΒ Π²ΠΊΠ»Π°Π΄Π° Π² ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΠΉ ΡΠΎΡΡ. ΠΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΡΠΎ ΡΡΡΡΠΊΡΡΡΠ° ΡΠ°ΠΊΡΠΎΡΠΎΠ² ΡΠΎΡΡΠ° Π·Π°ΠΌΠ΅ΡΠ½ΠΎ ΠΌΠ΅Π½ΡΠ΅ΡΡΡ Π½Π° ΡΡΠ±Π΅ΠΆΠ΅ 2000-Ρ
ΠΈ 2010-Ρ
Π³ΠΎΠ΄ΠΎΠ², ΠΈΒ Π±ΠΎΠ»Π΅Π΅ ΡΠΎΡΠ½ΠΎ - ΠΏΠΎΡΠ»Π΅ 2012 Π³., ΠΊΠΎΠ³Π΄Π° ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠ° Π²ΡΡΡΠΏΠΈΠ»Π° Π² ΠΏΠΎΡΠ»Π΅Π΄Π½ΠΈΠΉ ΡΠΈΠΊΠ»ΠΈΡΠ΅ΡΠΊΠΈΠΉ ΠΊΡΠΈΠ·ΠΈΡ.Β Π ΡΡΠ°ΡΡΠ΅ Π΄Π°Π΅ΡΡΡ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠ° ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠ΅ΠΉ Π²ΡΡ
ΠΎΠ΄Π° ΠΈΠ· ΡΠΈΠΊΠ»ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠΏΠ°Π΄Π°, ΡΠΈΠΊΡΠΈΡΡΠ΅ΠΌΠΎΠ³ΠΎ Π² Π½Π°ΡΡΠΎΡΡΠ΅Π΅ Π²ΡΠ΅ΠΌΡ, ΡΡΠΎ ΡΠΎΠ·Π΄Π°Π΅Ρ ΡΡΠ»ΠΎΠ²ΠΈΡ Π΄Π»Ρ Π½ΠΎΠ²ΠΎΠ³ΠΎ ΡΠΈΠΊΠ»ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΏΠΎΠ΄ΡΠ΅ΠΌΠ°, ΠΊΠΎΡΠΎΡΡΠΉ ΠΌΠΎΠΆΠ΅Ρ Π±ΡΡΡ ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠ°Π½ ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΡΡΡΠ΅ΠΉ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΏΠΎΠ»ΠΈΡΠΈΠΊΠΎΠΉ.Β ΠΡΠ³ΡΠΌΠ΅Π½ΡΠΈΡΡΠ΅ΡΡΡ Π²ΡΠ±ΠΎΡ ΡΠ°ΠΊΡΠΎΡΠΎΠ² ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠΎΡΡΠ° Π² ΡΡΠ΅Π΄Π½Π΅ΡΡΠΎΡΠ½ΠΎΠΉ ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Π΅
Π ΠΠΠΠ ΠΠ‘Π£ Π ΠΠΠ‘Π’Π ΠΠΠΠΠ ΠΠΠΠΠΠΠ’ΠΠ ΠΠ Π‘Π’ΠΠΠΠΠ ΠΠΠ’ΠΠΠ ΠΠ¦ΠΠ Π‘Π’Π ΠΠ ΠΠΠΠ‘
In this article the authors explain the need to improve monitoring instruments for the integration processes within the EAEU. They also argue that in order to better the information support of managerial decisions it is very important to develop methodological principles and methodical provision for evaluating economic effects of integration processes in the EAEU member-states. In this regard the authors review three aspects of cooperation among the EAEU countries (foreign trade, exchange of services and exchange of capital) and assesses the adequacy of the indicators that are used today to reflect the degree of integration of a single EAEU member-country with a group of EAEU partners on a quantitative example of Russiaβs external economic relations in 2013-2015.It is necessary to expand the system of indicators aimed mostly at multi-aspect reflection of inter-country exchange of services at the expanse of the following indicators: the amount of accumulated capital in the countriesβ economies as a result of mutual direct investment; the assessment of the relative degree of integration - using the reference method; the magnitude of real shifts in the degree of integration- using the physical volume indices of indicators. The authors propose approaches to its formation and justify the demand in additional information and statistical support. Methodological proposals for the new indicators are illustrated with experimental calculations for Russia.The choice of the GDP as the denominator in the formula for calculating the integration index (by any of the three integration directions) is proved to be valid. The article presents several suggestions on other possible approaches to generating the denominator for the formula with which the strength of integration relationships is estimated. There are examples illustrating differences in assessments depending on the methodological approach - the choice of a particular indicator of economic performance (used in assessing the degree of integration) and insights regarding if there has been a positive shift in the degree of integration or there was none. The authors emphasize the debatable nature of the question of preferring one approach to another in estimating the degree of integration of the EAEU member-states.Π ΡΡΠ°ΡΡΠ΅ Π°ΡΠ³ΡΠΌΠ΅Π½ΡΠΈΡΡΡΡΡΡ Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎΡΡΡ ΡΠΎΠ²Π΅ΡΡΠ΅Π½ΡΡΠ²ΠΎΠ²Π°Π½ΠΈΡ ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠ°ΡΠΈΡ ΠΌΠΎΠ½ΠΈΡΠΎΡΠΈΠ½Π³Π° ΠΈΠ½ΡΠ΅Π³ΡΠ°ΡΠΈΠΎΠ½Π½ΡΡ
ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ² Π² ΡΠ°ΠΌΠΊΠ°Ρ
ΠΠΠΠ‘, Π°ΠΊΡΡΠ°Π»ΡΠ½ΠΎΡΡΡ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΡΠΈΠ½ΡΠΈΠΏΠΎΠ² ΠΈ ΠΌΠ΅ΡΠΎΠ΄ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΡ ΠΎΡΠ΅Π½ΠΎΠΊ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΡΡΠ΅ΠΊΡΠΎΠ² ΠΈΠ½ΡΠ΅Π³ΡΠ°ΡΠΈΠΎΠ½Π½ΡΡ
ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ² Π² ΡΠ΅Π»ΡΡ
ΡΠ»ΡΡΡΠ΅Π½ΠΈΡ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΡ ΡΠΏΡΠ°Π²Π»Π΅Π½ΡΠ΅ΡΠΊΠΈΡ
ΡΠ΅ΡΠ΅Π½ΠΈΠΉ. ΠΠ²ΡΠΎΡΠ°ΠΌΠΈ ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°ΡΡΡΡ ΡΡΠΈ Π°ΡΠΏΠ΅ΠΊΡΠ° Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΡ ΡΡΡΠ°Π½ ΠΠΠΠ‘: Π²Π½Π΅ΡΠ½ΡΡ ΡΠΎΡΠ³ΠΎΠ²Π»Ρ, ΠΎΠ±ΠΌΠ΅Π½ ΡΡΠ»ΡΠ³Π°ΠΌΠΈ ΠΈ ΠΎΠ±ΠΌΠ΅Π½ ΠΊΠ°ΠΏΠΈΡΠ°Π»ΠΎΠΌ ΠΈ ΠΎΡΠ΅Π½ΠΈΠ²Π°Π΅ΡΡΡ Π΄ΠΎΡΡΠ°ΡΠΎΡΠ½ΠΎΡΡΡ ΡΠΎΡΡΠ°Π²Π° ΠΈΠ½Π΄ΠΈΠΊΠ°ΡΠΎΡΠΎΠ², ΠΏΡΠΈΠΌΠ΅Π½ΡΠ΅ΠΌΡΡ
ΡΠ΅Π³ΠΎΠ΄Π½Ρ Π΄Π»Ρ ΠΎΡΡΠ°ΠΆΠ΅Π½ΠΈΡ ΡΡΠ΅ΠΏΠ΅Π½ΠΈ ΠΈΠ½ΡΠ΅Π³ΡΠ°ΡΠΈΠΈ ΠΎΡΠ΄Π΅Π»ΡΠ½ΠΎ Π²Π·ΡΡΠΎΠΉ ΡΡΡΠ°Π½Ρ ΠΠΠΠ‘ Ρ Π³ΡΡΠΏΠΏΠΎΠΉ ΠΏΠ°ΡΡΠ½Π΅ΡΠΎΠ² ΠΏΠΎ ΠΠΠΠ‘ Π½Π° ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎΠΌ ΠΏΡΠΈΠΌΠ΅ΡΠ΅ Π²Π½Π΅ΡΠ½Π΅ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠ²ΡΠ·Π΅ΠΉ Π ΠΎΡΡΠΈΠΈ Π² 2013-2015 Π³Π³.Π Π°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°Π΅ΡΡΡ Π²Π΅ΡΡΠΈΡ ΡΠ°ΡΡΠΈΡΠ΅Π½Π½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ, ΠΏΡΠ΅Π΄Π½Π°Π·Π½Π°ΡΠ΅Π½Π½ΠΎΠΉ Π³Π»Π°Π²Π½ΡΠΌ ΠΎΠ±ΡΠ°Π·ΠΎΠΌ Π΄Π»Ρ ΠΌΠ½ΠΎΠ³ΠΎΠ°ΡΠΏΠ΅ΠΊΡΠ½ΠΎΠ³ΠΎ ΠΎΡΡΠ°ΠΆΠ΅Π½ΠΈΡ ΠΌΠ΅ΠΆΡΡΡΠ°Π½ΠΎΠ²ΠΎΠ³ΠΎ ΠΎΠ±ΠΌΠ΅Π½Π° ΡΡΠ»ΡΠ³Π°ΠΌΠΈ, Π·Π° ΡΡΠ΅Ρ ΡΠ°ΠΊΠΈΡ
ΠΈΠ½Π΄ΠΈΠΊΠ°ΡΠΎΡΠΎΠ², ΠΊΠ°ΠΊ ΡΠ°Π·ΠΌΠ΅Ρ Π½Π°ΠΊΠΎΠΏΠ»Π΅Π½Π½ΠΎΠ³ΠΎ ΠΊΠ°ΠΏΠΈΡΠ°Π»Π° Π² ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠ°Ρ
ΡΡΡΠ°Π½ Π² ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ΅ ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠΉ Π²Π·Π°ΠΈΠΌΠ½ΠΎΠ³ΠΎ ΠΏΡΡΠΌΠΎΠ³ΠΎ ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ, ΠΎΡΠ΅Π½ΠΊΠ° ΠΎΡΠ½ΠΎΡΠΈΡΠ΅Π»ΡΠ½ΠΎΠΉ ΡΡΠ΅ΠΏΠ΅Π½ΠΈ ΠΈΠ½ΡΠ΅Π³ΡΠ°ΡΠΈΠΈ (Ρ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ΠΌ ΡΡΠ°Π»ΠΎΠ½Π½ΠΎΠ³ΠΎ ΠΌΠ΅ΡΠΎΠ΄Π°) ΠΈ Π²Π΅Π»ΠΈΡΠΈΠ½Π° ΡΠ΅Π°Π»ΡΠ½ΡΡ
ΡΠ΄Π²ΠΈΠ³ΠΎΠ² Π² ΡΡΠ΅ΠΏΠ΅Π½ΠΈ ΠΈΠ½ΡΠ΅Π³ΡΠ°ΡΠΈΠΈ (Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΠΈΠ½Π΄Π΅ΠΊΡΠΎΠ² ΡΠΈΠ·ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΎΠ±ΡΠ΅ΠΌΠ° ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ). ΠΡΠ΅Π΄Π»Π°Π³Π°ΡΡΡΡ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄Ρ ΠΊ ΠΈΡ
ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΡ ΠΈ ΠΎΠ±ΠΎΡΠ½ΠΎΠ²ΡΠ²Π°ΡΡΡΡ ΠΏΠΎΡΡΠ΅Π±Π½ΠΎΡΡΠΈ Π² Π΄ΠΎΠΏΠΎΠ»Π½ΠΈΡΠ΅Π»ΡΠ½ΠΎΠΌ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΠΎ-ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΎΠΌ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΠΈ. ΠΠ΅ΡΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½ΠΈΡ ΠΏΠΎ Π½ΠΎΠ²ΡΠΌ ΠΈΠ½Π΄ΠΈΠΊΠ°ΡΠΎΡΠ°ΠΌ ΠΈΠ»Π»ΡΡΡΡΠΈΡΡΡΡΡΡ ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ°Π»ΡΠ½ΡΠΌΠΈ ΡΠ°ΡΡΠ΅ΡΠ°ΠΌΠΈ ΠΏΠΎ Π ΠΎΡΡΠΈΠΈ.ΠΠ²ΡΠΎΡΠ°ΠΌΠΈ ΠΏΠΎΠ΄ΡΠ²Π΅ΡΠΆΠ΄Π°Π΅ΡΡΡ ΠΎΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½Π½ΠΎΡΡΡ Π²ΡΠ±ΠΎΡΠ° ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Ρ ΠΠΠ Π² Π·Π½Π°ΠΌΠ΅Π½Π°ΡΠ΅Π»Π΅ ΡΠΎΡΠΌΡΠ»Ρ, ΠΏΠΎ ΠΊΠΎΡΠΎΡΠΎΠΉ ΡΠ°ΡΡΡΠΈΡΡΠ²Π°Π΅ΡΡΡ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅Ρ ΠΈΠ½ΡΠ΅Π³ΡΠ°ΡΠΈΠΈ (ΠΏΠΎ Π»ΡΠ±ΠΎΠΌΡ ΠΈΠ· ΡΡΠ΅Ρ
ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°Π΅ΠΌΡΡ
Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΠΉ ΠΈΠ½ΡΠ΅Π³ΡΠ°ΡΠΈΠΈ). ΠΡΡΠΊΠ°Π·ΡΠ²Π°Π΅ΡΡΡ ΡΡΠ΄ ΡΠΎΠΎΠ±ΡΠ°ΠΆΠ΅Π½ΠΈΠΉ ΠΏΠΎ Π΄ΡΡΠ³ΠΈΠΌ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΡΠΌ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄Π°ΠΌ ΠΊ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π·Π½Π°ΠΌΠ΅Π½Π°ΡΠ΅Π»Ρ ΡΠΎΡΠΌΡΠ»Ρ, Π² ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΠΈΠΈ Ρ ΠΊΠΎΡΠΎΡΠΎΠΉ ΡΠ°ΡΡΡΠΈΡΡΠ²Π°Π΅ΡΡΡ ΡΠ΅ΡΠ½ΠΎΡΠ° ΠΈΠ½ΡΠ΅Π³ΡΠ°ΡΠΈΠΎΠ½Π½ΡΡ
ΡΠ²ΡΠ·Π΅ΠΉ. ΠΡΠΈΠ²ΠΎΠ΄ΡΡΡΡ ΠΏΡΠΈΠΌΠ΅ΡΡ, ΠΈΠ»Π»ΡΡΡΡΠΈΡΡΡΡΠΈΠ΅ ΡΠ°Π·Π»ΠΈΡΠΈΡ Π² ΠΎΡΠ΅Π½ΠΊΠ°Ρ
Π² Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΠΈ ΠΎΡ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄Π° - Π²ΡΠ±ΠΎΡΠ° ΡΠΎΠ³ΠΎ ΠΈΠ»ΠΈ ΠΈΠ½ΠΎΠ³ΠΎ ΠΎΠ±ΠΎΠ±ΡΠ°ΡΡΠ΅Π³ΠΎ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Ρ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΈΠ²Π½ΠΎΡΡΠΈ (ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΠ΅ΠΌΠΎΠ³ΠΎ Π² ΠΎΡΠ΅Π½ΠΊΠ΅ ΡΡΠ΅ΠΏΠ΅Π½ΠΈ ΠΈΠ½ΡΠ΅Π³ΡΠ°ΡΠΈΠΈ), Π΄Π΅Π»Π°ΡΡΡΡ ΡΠΎΠ΄Π΅ΡΠΆΠ°ΡΠ΅Π»ΡΠ½ΡΠ΅ Π²ΡΠ²ΠΎΠ΄Ρ - Π΅ΡΡΡ ΠΏΠΎΠ»ΠΎΠΆΠΈΡΠ΅Π»ΡΠ½ΡΠΉ ΡΠ΄Π²ΠΈΠ³ Π² ΡΡΠ΅ΠΏΠ΅Π½ΠΈ ΠΈΠ½ΡΠ΅Π³ΡΠ°ΡΠΈΠΈ ΠΈΠ»ΠΈ Π΅Π³ΠΎ Π½Π΅Ρ. ΠΠΎΠ΄ΡΠ΅ΡΠΊΠΈΠ²Π°Π΅ΡΡΡ Π΄ΠΈΡΠΊΡΡΡΠΈΠΎΠ½Π½ΠΎΡΡΡ Π²ΠΎΠΏΡΠΎΡΠ° ΠΎ ΠΏΡΠ΅Π΄ΠΏΠΎΡΡΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ ΡΠΎΠ³ΠΎ ΠΈΠ»ΠΈ ΠΈΠ½ΠΎΠ³ΠΎ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄Π° Π² ΡΠ°ΡΡΠ΅ΡΠ°Ρ
ΡΡΠ΅ΠΏΠ΅Π½ΠΈ ΠΈΠ½ΡΠ΅Π³ΡΠ°ΡΠΈΠΈ ΡΡΡΠ°Π½ ΠΠΠΠ‘
Life-history innovation to climate change:Can single-brooded migrant birds become multiple breeders?
When climatic conditions change and become outside the range experienced in the past, species may show life-history innovations allowing them to adapt in new ways. We report such an innovation for pied flycatchers Ficedula hypoleuca. Decades of breeding biological studies on pied flycatchers have rarely reported multiple breeding in this long-distance migrant. In two populations, we found 12 recent incidents of females with second broods, all produced by extremely early laying females in warm springs. As such early first broods are a recent phenomenon, because laying dates have gradually advanced over time, this innovation now allows individual females to enhance their reproductive success considerably. If laying dates continue advancing, potentially more females may become multiple breeders and selection for early (and multiple) breeding phenotypes increases, which may accelerate adaptation to climatic change
Neutron stars in globular clusters: formation and observational manifestations
Population synthesis is used to model the number of neutron stars in globular
clusters that are observed as LMXBs and millisecond PSRs. The dynamical
interaction between binary and single stars in a GC are assumed to take place
with a permanently replenished "background" of single stars whose density
distribution keeps track with the cluster evolution as a whole and evolution of
single stars. We use the hypothesis (Podsiadlowski et al) that NS forming in
binary systems from components with initial masses \sim 8-12 M_\odot during the
electron-capture collapse of the degenerate O-Ne-Mg core do not acquire a high
space velocities (kicks). The remaining NSs (i.e. from single stars with M>8
M_\odot or binary comonents with M>12 M_\odot) are assumed to be born with high
kicks, as found from obsrevations of single pulsars (Hobbs et al. 2005). Under
this assumption, a sizeable fraction of NSs remain in GCs (about 1000 NSs in a
GC with a mass of 5\times 10^5 M_\odot). The number of ms PSRs formed in the
cluster via accretion spin-up in binaries is then about 10, which is consistent
with observations. Our modelling reproduces the observed shape of the X-ray
luminosity function for accreting NSs in binaries with normal and degenerate
components and the distribution of spin periods of ms PSRs in GCs under the
assumption of accretion-driven magnetic field decay of NSs up to a bottom value
of 10^8 G. The number of LMXBs and ms PSRs dynamically expelling from GCs is
also calculated.Comment: LATEX, 21 pages, 8 gif figures, Astronomy Letters, in pres
- β¦