METHODOLOGICAL TOOLS FOR ASSESSING THE LEVEL OF SUSTAINABILITY OF RUSSIAN REGIONS

Author(s):  
Misak S. Arzumanyan
Keyword(s):  
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.


2020 ◽  
pp. 108-126 ◽  
Author(s):  
V. A. Bryzgalin ◽  
Е. N. Nikishina

The paper investigates cross-cultural differences across Russian regions using the methodology of G. Hofstede. First, it discusses the most common approaches in measuring culture and the application of the Hofstede methodology in subnational studies. It identifies the critical issues in measuring culture at the regional level and suggests several strategies to address them. Secondly, the paper introduces subregional data on individualism and uncertainty avoidance using a survey of students across 27 Russian universities. The data allow to establish geographical patterns of individualism in Russia. It is demonstrated that collectivism is most prevalent in the Volga region, while individualism characteristic becomes stronger towards the Far East. The findings are robust to the inclusion of various controls and different specifications of the regression model. Finally, the paper provides a discussion about the potential of applying the sociocultural approach in economics.


2014 ◽  
pp. 77-98 ◽  
Author(s):  
R. Menyashev

There is a popular view in Russian studies arguing that underdevelopment of Russian civil society is partly responsible for the failure of liberal idea in Russia. Fragmented society sees no alternative to massive government regulation, that is why support of strong state is so high. If this logic is true, the differences in civicness across urban societies should show up in liberal parties support. This paper estimates this effect using social capital framework and drawing upon the data from Russian regions.


2014 ◽  
pp. 88-117 ◽  
Author(s):  
G. Syunyaev ◽  
L. Polishchuk

We study the impact of Russian regional governors’ rotation and their affiliation with private sector firms for the quality of investment climate in Russian regions. A theoretical model presented in the paper predicts that these factors taken together improve “endogenous” property rights under authoritarian regimes. This conclusion is confirmed empirically by using Russian regional data for 2002—2010; early in that period gubernatorial elections had been canceled and replaced by federal government’s appointments. This is an indication that under certain conditions government rotation is beneficial for economic development even when democracy is suppressed.


2017 ◽  
pp. 123-141 ◽  
Author(s):  
S. Ageeva ◽  
A. Mishura

We examine the spatial distribution of banks in Russian regions to identify the factors that affect changing territorial architecture of the banking system. The object of the study is dynamics of the number of commercial banks and their branches in 1991-2016. Besides the well-known tendency of concentration of the banking business in Moscow and reducing the number of banks in other regions we analyzed situation in the federal districts taking as an example the Siberian Federal District. This approach allowed us to formulate hypotheses about the causes of differences in the availability of banking institutions in Russian regions.


2020 ◽  
pp. 62-79
Author(s):  
P. N. Pavlov

The paper analyzes the impact of the federal regulatory burden on poverty dynamics in Russia. The paper provides regional level indices of the federal regulatory burden on the economy in 2008—2018 which take into account sectoral structure of regions’ output and the level of regulatory rigidity of federal regulations governing certain types of economic activity. Estimates of empirical specifications of poverty theoretical model with the inclusion of macroeconomic and institutional factors shows that limiting the scope of the rulemaking activity of government bodies and weakening of new regulations rigidity contributes to a statistically significant reduction in the level of poverty in Russian regions. Cancellation of 10% of accumulated federal level requirements through the “regulatory guillotine” administrative reform may take out of poverty about 1.1—1.4 million people.


2020 ◽  
pp. 133-158
Author(s):  
K. A. Kholodilin ◽  
Y. I. Yanzhimaeva

A relative uniformity of population distribution on the territory of the country is of importance from socio-economic and strategic perspectives. It is especially important in the case of Russia with its densely populated West and underpopulated East. This paper considers changes in population density in Russian regions, which occurred between 1897 and 2017. It explores whether there was convergence in population density and what factors influenced it. For this purpose, it uses the data both at county and regional levels, which are brought to common borders for comparability purposes. Further, the models of unconditional and conditional β-convergence are estimated, taking into account the spatial dependence. The paper concludes that the population density equalization took place in 1897-2017 at the county level and in 1926—1970 at the regional level. In addition, the population density increase is shown to be influenced not only by spatial effects, but also by political and geographical factors such as climate, number of GULAG camps, and the distance from the capital city.


2019 ◽  
pp. 46-64 ◽  
Author(s):  
Vladimir V. Klimanov ◽  
Sofiya М. Kazakova ◽  
Anna A. Mikhaylova

The article examines the impact of various socio-economic and financial indicators on the resilience of Russian regions. For each region, the integral index of resilience is calculated, and its correlation dependence with the selected indicators is revealed. The study confirms the relationship between fiscal resilience and socio-economic resilience of the regions. The analysis of panel data for 75 regions from 2007 to 2016 shows that there are significant differences in the dynamics of indicators in different periods. In particular, the degree of exposure to the negative effects of the crises of 2008—2009 and 2014—2015 in non-resilient regions is higher than in resilient ones.


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