scholarly journals Clustering Russian Federation Regions According to the Level of Socio-Economic Development with the Use of Machine Learning Methods

Author(s):  
Karolina Ketova ◽  
Ekaterina Kasatkina ◽  
Diana Vavilova
2019 ◽  
pp. 62-68
Author(s):  
I.A. Kirichenko ◽  
R.R. Gumerov

The article analyzes some new requirements to the methodology of medium-term forecasting of socio-economic development of the Russian Federation in the framework of the «big challenges» model. The main «big challenges» of the global and Russian economy are identified, the main requirements for the medium-term forecasting of socio-economic development of the Russian Federation in the transition to the model of «big challenges» are considered.


2020 ◽  
Vol 1 (12) ◽  
pp. 74-78
Author(s):  
A. A. BISULTANOVA ◽  

The author touched upon topical issues of inter-budget alignment, budget provision of regions with financial resources, focusing on factors that directly affect the stability of the budget system, as well as highlighting problems in the budget sphere that require urgent attention from the authorities. It is concluded that the level of interregional differentiation continues to increase, and the modern mechanism of budget equalization requires urgent amendments and adjustments. It is emphasized that the main goals of socio-economic development of the Russian Federation related to the transition to an innovative type of development, changes in the structure of the national economy, set out in strategic documents and messages of the President of the Russian Federation and declared since 2009, are not being implemented, and the effectiveness of state economic policy and Federal budget expenditures for its implementation remains low. This indicates the need to review the current system.


Sign in / Sign up

Export Citation Format

Share Document