scholarly journals Ranking the Russian Regions by the Technological Development of Retail Trade

2019 ◽  
Vol 8 (2) ◽  
pp. 4087-4094
Keyword(s):  
Best Practices ◽  
Best Practice ◽  
Technological Development ◽  
Retail Trade ◽  
Russian Regions ◽  
Online Trading ◽  
The Republic ◽  
North Ossetia ◽  
Regions Of Russia

The purpose of the study is to rank the Russian regions by the technological development of retail trade. The components of the technological development of retail trade are justified in the article; a method for calculating particular and general indicators of the technological development of retail trade in the region is proposed; the Russian regions are ranked based on the proposed indicators, the regions are grouped by the level of technological development of retail trade; and the regions representing "best practice", as well as the regions that require the improvement of trading technologies are revealed. The ranking outcomes indicated that trading technologies in the regions of Russia were developed unevenly and insufficiently in most regions. The online trading development is the most relevant area of the technological development of retail trade in the Russian regions. Out of the leaders in the ranking, the Tomsk and Novosibirsk regions demonstrate the best practices of the technological development of retail trade, which can be used in other regions of Russia. The regions of Russia that require the improvement of trading technologies primarily include the Republic of Dagestan, the Chechen Republic, the Republic of Sakha (Yakutia), the Republic of Buryatia, the Karachay-Cherkess Republic, the Republic of Kalmykia, the Republic of North Ossetia-Alania, the Sakhalin region, and the Kabardino-Balkar Republic. Besides, Sevastopol and the Republic of Ingushetia are the problem regions.

scholarly journals Social Development Forecast for Russian Regions

2018 ◽  
Vol 22 (6) ◽  
pp. 132-152
Author(s):  
L. G. Cherednichenko ◽  
R. V. Gubarev ◽  
E. I. Dzyuba ◽  
F. S. Fayzullin
Keyword(s):  
Neural Network ◽  
Social Development ◽  
Russian Federation ◽  
Objective Assessment ◽  
Russian Regions ◽  
Republic Of Bashkortostan ◽  
The Social ◽  
The Russian Federation ◽  
The Republic ◽  
Regions Of Russia

The objective of the article is to offer a proprietary technology for assessment and forecasting of social development of Russian regions. The methodological basis of the study is neural network technology (a Bayesian ensemble of dynamic neural networks of different configurations is formed) that ensure high accuracy of the forecast. The authors developed a methodology for assessing the social potential of the Russian regions. They have also designed a system of private indicators characterising the level of social development of Russian regions. The indicators have been divided into five groups: 1) population (life expectancy); 2) standard of living of the population; 3) education; 4) health care (morbidity); 5) research and innovation. The private indicators have been made comparable by normalizing their values by means of “Pattern” method. This method allows the objective assessment of the interregional “gaps” in the country across the entire system of social indicators. The social development index of the subjects of the Russian Federation has been calculated. Based on neural network technologies (Kohonen self-organizing maps) clustering of regions of Russia regarding social development has been conducted. The forecast of the social development of the Russian regions has been made. Due to the forecast, it has been established that in the leading region of the Russian Federation (Moscow) in 2017-2019 the decrease is expected in the index of social development in comparison with 2014-2016. In another leading region of the Russian Federation (St. Petersburg) the decline in comparison with 2016 is expected in the medium term. At the same time, for the Republic of Bashkortostan in 2017-2019, just a slight decrease in the level of social development is forecasted. However, it is expected that the Republic will still lag significantly behind the leading regions of Russia by social development. The example of the Republic of Bashkortostan helped to discover that the lag in social development can be explained by the “gap” in research and innovations. The authors have concluded that it is necessary to improve the effectiveness of social policy at the regional level. Thus, it is necessary not only to increase financing of the social sphere of the subjects of the Russian Federation, but also to ensure proper control of budget spending. The developed methodology can be an effective tool for forecasting and managing social development of the Russian regions by the relevant ministries and departments.

scholarly journals Out-Group Trust of the Russians in Multicultural Regions of Russia: the Role of Values and Intercultural Contacts

2021 ◽  
Vol 12 (4) ◽  
pp. 71-92
Author(s):  
V.N. Galyapina
Keyword(s):  
Negative Relationship ◽  
Well Being ◽  
Intercultural Relations ◽  
Negative Effects ◽  
Openness To Change ◽  
Religious Context ◽  
The Republic ◽  
Group Trust ◽  
North Ossetia ◽  
Regions Of Russia

Objectives. The purpose of this study is to identify the relationship of values and intercultural contacts with intergroup trust among the Russian ethnic minority in two multicultural regions of Russia — the Republic of North Ossetia-Alania (RNO-A), the Kabardino-Balkarian Republic (KBR). Background. The study of out-group trust is important for multicultural societies. Out-trust contributes to the harmonization of intercultural relations, overcoming unstable social interactions and leads to important public benefits, including personal and social well-being. However, in Russia, trust was studied among the ethnic majority and in the context of acculturation problems. Study design. We conducted a socio-psychological survey. Data collection took place in towns and villages of North Ossetia-A and KBR, where the Russians live compactly. We used the “snowball” method. Respondents received blank questionnaires, completed them and returned them to the researcher. Participants. The sample included 593 Russian respondents. In RSO-A, the sample included 291 re¬spondents (29% of men, average age M=44,6); in KBR the sample included 302 respondents (36% of men, average age M=42,7). Measurements. We used Personal Values Questionnaire — Revised (Schwartz), the Yamagishi scale of trust, the scale of intercultural friendship contacts from the Mutual Intercultural Relations in Plural Societies project (MIRIPS). Results. The results showed that in RNO-A, Openness to change values, Conservation values were positively associated, and Self-Enhancement values were negatively related to out-group trust through intercultural contacts only. Intensive intercultural contacts of Russians also moderated the positive relationship between Openness to change values and out-group trust. In KBR, Self-Enhancement values had direct and indirect (through intercultural contacts) negative effects on out-group trust only. Intercultural contacts also moderated the negative relationship between Self-Enhancement values and out-group trust. Conclusions. In general, the results showed that the characteristics of the sociocultural context determine the significance of different values for out-group trust. In the situation of favorable intercultural relations and in “the close” religious context (RNO-A), if the Russians interact intensively with the dominant ethnic group representatives, then their values focused on the self-direction thought and action, openness to the world increase out-group trust. In “the distant” religious context in the situation of interethnic tension (KBR), if the Russians interact intensively with dominant ethnic groups representatives, then their values of achievement, power, “preserving their own face” reduce out-group trust.

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.

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.

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.

Designing a differentiated strategy of innovation development of Russia's regions: Methodological issues

2020 ◽  
Vol 18 (11) ◽  
pp. 2022-2048
Author(s):  
I.M. Golova ◽  
A.F. Sukhovei
Keyword(s):  
Technological Development ◽  
Innovation Strategy ◽  
Strategy Development ◽  
Innovative Development ◽  
Russian Regions ◽  
Regional Innovation ◽  
Mathematical Methods ◽  
Assessment Techniques ◽  
Original Region ◽  
Distinguishing Features

Subject. This article discusses the development of a differentiated strategy of innovative development taking into account the distinguishing features of Russia's regions. Objectives. The article aims to improve the effectiveness of innovative development strategies for Russian regions, which vary in the level of science, technology, and innovation capacities. Methods. For the study, we used statistical, and economic and mathematical methods, normalization principle, the methods of comparative, and expert and sociological analyses, foresight techniques, and original region assessment techniques. Results. The article presents certain criteria for differentiation of Russia's regions, taking into account the level of development of scientific and technical activities, and it proposes three modifications of the regional innovation strategy, corresponding to the main types of Russian regions by scientific and technological development. Conclusions. A differentiated approach to a regional innovation strategy development can improve the efficiency and targeting of government innovation policies by making better use of available resources.

Some new and interesting mosses (Bryophyta) from Republic of North Ossetia — Alania

2015 ◽  
Vol 49 ◽  
pp. 322-327
Author(s):  
G. Ya. Doroshina ◽  
I. A. Nikolajev ◽  
Yu. V. Lavrinenko
Keyword(s):  
Rare Species ◽  
The Republic ◽  
First Time ◽  
North Ossetia

Fissidens gracilifolius, Leptodontium flexifolium, Lindbergia dagestanica, Tortella bambergeri are recorded for the first time in the Republic of North Osetia — Alania. Rare species for the Republic are discussed: Fabronia ciliaris, F. pusilla, Lindbergia grandiretis, Tortula modica, Weissia wimmeriana, Zygodon rupestris.

scholarly journals Fluctuating Asymmetry and Developmental Instability, a Guide to Best Practice

Symmetry ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 9
Author(s):  
John H. Graham
Keyword(s):  
Measurement Error ◽  
Best Practices ◽  
Environmental Stress ◽  
Fluctuating Asymmetry ◽  
Best Practice ◽  
Developmental Instability ◽  
The Past ◽  
Size Scaling ◽  
Research Designs

Best practices in studies of developmental instability, as measured by fluctuating asymmetry, have developed over the past 60 years. Unfortunately, they are haphazardly applied in many of the papers submitted for review. Most often, research designs suffer from lack of randomization, inadequate replication, poor attention to size scaling, lack of attention to measurement error, and unrecognized mixtures of additive and multiplicative errors. Here, I summarize a set of best practices, especially in studies that examine the effects of environmental stress on fluctuating asymmetry.

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