SPATIAL ANALYSIS OF STRUCTURAL SHIFTS DYNAMICS IN ECONOMIES OF RUSSIAN REGIONS FROM 2004 TO 2019

2021 ◽  
pp. 54-79
Author(s):  
L.V. Melnikova
Keyword(s):  
Spatial Analysis ◽  
Russian Regions ◽  
Structural Shifts

scholarly journals Spatial Analysis of Life Expectancy in Russian Regions

2016 ◽  
Vol 4 (48) ◽  
pp. 112-128 ◽  
Author(s):  
Anna Zhukova ◽  
◽  
Andrey Silaev ◽  
Marina Silaeva ◽  
◽  
...  
Keyword(s):  
Spatial Analysis ◽  
Life Expectancy ◽  
Russian Regions

scholarly journals Asymmetry of Structural Development Economy of Russian Regions

2020 ◽  
Vol 20 (4) ◽  
pp. 384-390
Author(s):  
Oleg Yu. Krasilnikov ◽  
Keyword(s):  
Automobile Industry ◽  
Positive Impact ◽  
Economic Structure ◽  
Electric Power Industry ◽  
Point Of View ◽  
Economic Systems ◽  
Structural Development ◽  
Russian Regions ◽  
The Asymmetry ◽  
Structural Shifts

Introduction. The article examines the asymmetry of the development of the economic structure of Russian regions. It is caused by unevenness, multidirection, differences in qualitative and quantitative characteristics, and a temporary dichotomy of structural shifts in terms of the spatial structure of the country’s economy. Theoretical analysis. The author considers the concepts of symmetry and asymmetry of the economic structure of the region, as well as structural shifts in the regional economy. Various approaches of the asymmetry of the territorial economic structure measuring are studied, in particular, the method of deviation from standard parameters and the balance method. A comparative analysis of the asymmetry of the economic structure of Saratov and Samara regions is carried out. The author notes the development of the automobile industry in Samara and the electric power industry in the Saratov region that goes beyond symmetry. At the same time, these imbalances can have a positive impact, complementing each other in the process of cooperation of regional economic structures. Results. From the point of view of the theory of comparative advantages, it is concluded that asymmetric structural shifts within regions can lead to an increase in structural symmetry in interregional economic systems. At the same time, there is a synergetic interaction of the structure of the economy of different regions, which leads to an increase in productivity and efficiency of the national economy as a whole.

scholarly journals Spatial choreography of the coronavirus

2020 ◽  
Vol 4 (2) ◽  
pp. 123-152
Author(s):  
Irina E. Kalabikhina ◽  
Alexander N. Panin
Keyword(s):  
Spatial Analysis ◽  
Spatial Differentiation ◽  
Federal District ◽  
Russian Regions ◽  
Information Platform ◽  
Geographical Data ◽  
Social Distancing ◽  
Central Federal District ◽  
Restrictive Measures ◽  
Operational Statistics

This paper offers spatial analysis of the coronavirus spread, testing and implementation of restrictive measures in the framework of social distancing within countries and Russian regions. The geography of the spread of the disease in the municipalities of the Central Federal District is presented, the speed and direction of the shift of the «center» of disease concentration are estimated. The paper uses geographical data, operational statistics on morbidity, deaths from COVID-19 and tests, official documents on restrictive measures within the framework of social distancing (on 10 April 2020). The mapping is performed on the ArcGIS geo-information platform. Some interpretations of spatial differentiation of traceable indicators are proposed.

scholarly journals STRUCTURAL AND DYNAMIC APPROACH TO ANALYZING THE ENERGY INTENSITY OF RUSSIAN REGIONS' GRP OVER THE PERIOD 2005-2014

2020 ◽  
Vol 5 (12) ◽  
pp. 43-59
Author(s):  
Bogachkova L. Yu. ◽  
Khurshudyan Sh. G.
Keyword(s):  
Energy Efficiency ◽  
Energy Intensity ◽  
Statistical Data ◽  
Electricity Consumption ◽  
Russian Regions ◽  
Energy Strategy ◽  
Dynamic Approach ◽  
Growth Technology ◽  
Research Show ◽  
Structural Shifts

Today, the Russian system of accounting energy consumption indicators is being actively developed, the special attention being paid to collecting verified statistical data and methodological grounding of energy efficiency monitoring in the regions. The present paper outlines the approach to estimating structural factor's effect on energy intensity of Russian regions. The approach consists in grouping Russian regions by types of their energy-economic development; studying dynamic characteristics of each group; estimating the intensity of GRP structural shifts; and analyzing statistical interdependence of structural shifts' intensity and energy intensity dynamics across the regions. The paper deals with the first stage of implementation of Energy Strategy of Russia for the Period up to 2030 (over 2005-2014 years). The dynamics of energy efficiency has been investigated using the case of electricity consumption. The results obtained in the present research show the slight impact of structural factor on energy intensity dynamics in the Russian regions, which complies with the earlier obtained results. Thus, over the period 2005-2014 the energy intensity dynamics in the Russian regions could be substantially affected by economic growth, technology modifications and other factors requiring detailed studies.

Financial Systems and economic Development in the Russian Regions: A Comparative Analysis

2015 ◽  
pp. 94-108 ◽  
Author(s):  
K. Krinichansky
Keyword(s):  
Economic Development ◽  
Comparative Analysis ◽  
Financial Development ◽  
Public Debt ◽  
Fixed Capital ◽  
Russian Regions ◽  
Growth Mechanisms ◽  
Financial Systems ◽  
Debt Market ◽  
Regions Of Russia

The paper identifies and assesses the closeness of the connection between incremental indicators of the financial development in the regions of Russia with the incremental regional GDP and the investment in fixed capital. It is shown that the positioning of the region as an independent participant of public debt market matters: the regional GDP and investment in fixed capital grow more rapidly in the regions which are regularly borrowing on the sub-federal bonds market. The paper also demonstrates that the poorly developed financial system in some regions have caused the imperfection of the growth mechanisms since the economy is not able to use the financial system’s functions.

Debt Strategies of Russian Regions

2015 ◽  
pp. 78-93 ◽  
Author(s):  
A. Tabakh ◽  
D. Andreeva
Keyword(s):  
Management Practices ◽  
Debt Management ◽  
Russian Regions ◽  
Key Drivers ◽  
Municipal Debt ◽  
Debt Policy

The article considers debt management practices by Russian regions and municipalities, within a framework set by federal budgetary legislation and practices of state-controlled banks. Key drivers of regional and municipal debt policy are analyzed, and Russian regions are stratified by their debt policy. Current recession is likely to produce higher level of regional debt and changes in its structure, lowering reliance on market funding and decreasing variations in pursued debt policy.

Atlas of economic complexity, Russian regional pages

2018 ◽  
pp. 71-91 ◽  
Author(s):  
I. L. Lyubimov ◽  
M. V. Lysyuk ◽  
M. A. Gvozdeva
Keyword(s):  
Value Added ◽  
Growth Strategy ◽  
Gdp Per Capita ◽  
Export Diversification ◽  
Russian Regions ◽  
Economic Complexity ◽  
Diversification Strategies ◽  
Central Regions ◽  
Per Capita ◽  
Regions Of Russia

Well-established results indicate that export diversification might be a better growth strategy for an emerging economy as long as its GDP per capita level is smaller than an empirically defined threshold. As average incomes in Russian regions are likely to be far below the threshold, it might be important to estimate their diversification potential. The paper discusses the Atlas of economic complexity for Russian regions created to visualize regional export baskets, to estimate their complexity and evaluate regional export potential. The paper’s results are consistent with previous findings: the complexity of export is substantially higher and diversification potential is larger in western and central regions of Russia. Their export potential might become larger if western and central regions, first, try to join global value added chains and second, cooperate and develop joint diversification strategies. Northern and eastern regions are by contrast much less complex and their diversification potential is small.

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