ON THE MAIN STRATEGIC DIRECTIONS FOR THE PLACEMENT OF CORN GRAINS AND SPECIALIZATION OF PRODUCTION IN RUSSIAN REGIONS

2020 ◽  
pp. 88-96
Author(s):  
V.G. Bykov ◽  
A.G. Semkin
Keyword(s):  
Russian Regions ◽  
Corn Grains

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.

Is there a regional culture in Russia? Opportunities of using a sociocultural approach in economics

2020 ◽  
pp. 108-126 ◽  
Author(s):  
V. A. Bryzgalin ◽  
Е. N. Nikishina
Keyword(s):  
Far East ◽  
Cross Cultural ◽  
Regional Culture ◽  
Russian Regions ◽  
Geographical Patterns ◽  
Cross Cultural Differences ◽  
The Far East ◽  
Sociocultural Approach ◽  
Critical Issues ◽  
Russian Universities

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.

Social Capital and the Demand for Regulation in Russia

2014 ◽  
pp. 77-98 ◽  
Author(s):  
R. Menyashev
Keyword(s):  
Social Capital ◽  
Civil Society ◽  
Government Regulation ◽  
Russian Regions ◽  
Strong State ◽  
Popular View

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.

Investment climate and government turnover in russian regions

2014 ◽  
pp. 88-117 ◽  
Author(s):  
G. Syunyaev ◽  
L. Polishchuk
Keyword(s):  
Economic Development ◽  
Theoretical Model ◽  
Private Sector ◽  
Authoritarian Regimes ◽  
Russian Regions ◽  
Investment Climate ◽  
Regional Data ◽  
Endogenous Property Rights ◽  
The Impact

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.

Regional banking system in Russia: Trends and factors of spatial distribution

2017 ◽  
pp. 123-141 ◽  
Author(s):  
S. Ageeva ◽  
A. Mishura
Keyword(s):  
Spatial Distribution ◽  
Commercial Banks ◽  
Banking System ◽  
Federal District ◽  
Russian Regions ◽  
Siberian Federal District ◽  
Federal Districts ◽  
Banking Business ◽  
Banking Institutions

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.

Impact of regulatory framework rigidity on poverty in the regions of Russia

2020 ◽  
pp. 62-79
Author(s):  
P. N. Pavlov
Keyword(s):  
Economic Activity ◽  
Regional Level ◽  
Institutional Factors ◽  
Federal Regulations ◽  
Russian Regions ◽  
Poverty Dynamics ◽  
Regulatory Burden ◽  
Sectoral Structure ◽  
The Impact ◽  
Regions Of Russia

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.

Convergence of regional population density in Russia over 120 years

2020 ◽  
pp. 133-158
Author(s):  
K. A. Kholodilin ◽  
Y. I. Yanzhimaeva
Keyword(s):  
Population Density ◽  
Spatial Dependence ◽  
Population Distribution ◽  
Regional Level ◽  
Capital City ◽  
County Level ◽  
Spatial Effects ◽  
Russian Regions ◽  
Regional Population ◽  
Regional Population Density

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.

Retrospective analysis of the resilience of Russian regions as socio-economic systems

2019 ◽  
pp. 46-64 ◽  
Author(s):  
Vladimir V. Klimanov ◽  
Sofiya М. Kazakova ◽  
Anna A. Mikhaylova
Keyword(s):  
Panel Data ◽  
Economic Systems ◽  
Financial Indicators ◽  
Russian Regions ◽  
Integral Index ◽  
Negative Effects ◽  
Economic Resilience ◽  
Correlation Dependence ◽  
The Impact ◽  
The Relationship

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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