scholarly journals Cluster-based econometric analysis to study the heterogeneity of Russian regions

2022 ◽  
Vol 22 (4) ◽  
Author(s):  
Leonid Serkov ◽  
Mikhail Petrov ◽  
Konstantin Kozhov
2019 ◽  
Vol 7 ◽  
Author(s):  
Rogneda Groznykh ◽  
Elena Ignatieva ◽  
Oleg Mariev ◽  
Alla Serkova

Infrastructure is one of the main determinants of consistent and sustainable development in different countries and regions. Considering the Russian Federation, where there are 85 regions, not counting the federal cities, the problem of regional development and factors that can promote it, is currently of high importance. Different levels of regional development lead to higher economic differentiation between regions and cause serious damage to the Russian economy. Our main hypothesis suggests that a higher level of infrastructure development in a region positively affects economic development in the areas. Therefore, the main aim of our research is to estimate the impact of infrastructure on economic development in Russian regions using econometric analysis. In addition, cluster analysis was implemented to reveal the difference in infrastructural development levels in the regions. To provide a precise estimation, a database was constructed on Russian regions for the period of 2012 to 2016. The main method used in the research is econometric analysis and cluster analysis by using k-means method based on three main indicators: social, industrial and financial. The results of the analysis reveal 5 different clusters with highly differentiated levels of infrastructural development. Econometric analysis has shown that the most significant infrastructural factors are industrial factors and social factors. The results of the research could be taken into consideration as recommendations for development in order to improve government policy towards less developed Russian regions.


2015 ◽  
pp. 94-108 ◽  
Author(s):  
K. Krinichansky

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.


2015 ◽  
pp. 78-93 ◽  
Author(s):  
A. Tabakh ◽  
D. Andreeva

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.


2018 ◽  
pp. 71-91 ◽  
Author(s):  
I. L. Lyubimov ◽  
M. V. Lysyuk ◽  
M. A. Gvozdeva

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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