scholarly journals Phenomenon of Structural-Technological Proximity and Knowledge Spillovers between Russian Regions

2020 ◽  
Vol 16 ◽  
pp. 1254-1271
Author(s):  
Galina A. Untura ◽  
Maria A. Kaneva ◽  
Olga N. Moroshkina
Keyword(s):  
Economic Growth ◽  
Russian Federation ◽  
Knowledge Spillovers ◽  
Knowledge Spillover ◽  
Spatial Proximity ◽  
Russian Regions ◽  
Economic Activities ◽  
Novosibirsk Region ◽  
The Russian Federation ◽  
The Impact

International theoretical and empirical studies have shown that regional development and economic growth largely depend on spatial and non-spatial proximity of regions, which generates knowledge spillovers. We developed a methodological approach to measuring and visualising spatial and structural-technological proximity affecting regional knowledge spillovers. Moreover, we tested the techniques of the cartographic visualisation of the proximity of Russian regions. Further, we analysed foreign and domestic approaches to studying spatial and non-spatial proximity and obtained new results. We described the stages constituting a methodology for the quantitative assessment of different types of regional proximity. Additionally, we proposed a method for constructing a typology of regions based on the coefficients of the non-spatial proximity matrix, calculated according to the indicator “gross value added” for 15 sectors of the Russian National Classifier of Economic Activities (OKVED) for Russian regions. Using the data for the Novosibirsk region in 2005 and 2016, we applied methodological techniques for measuring and visualising geographical and structural-technological proximity (STB) of a region in relation to other constituent entities of the Russian Federation. The Novosibirsk region is located in the middle of the country and has a diversified structure of economic activities and science. For this particular region, there has been an increase in the likelihood of the emergence of knowledge spillover channels with various European regions of Russia and some regions of the Urals and the Far East. Proximity matrices can be used in econometric studies to test hypotheses about the impact of different forms of proximity on regional economic growth. Recommendations to enhance knowledge spillover coincide with the proposals to support the areas of innovative development stated in The Strategy of Spatial Development of the Russian Federation for the period until 2025.

scholarly journals Spatial-territorial factors of economic growth in the Russian Federation

R-Economy ◽  
2021 ◽  
Vol 7 (1) ◽  
pp. 42-51
Author(s):  
Rustem R. Akhunov ◽  
◽  
Azat V. Yangirov ◽  
Keyword(s):  
Economic Growth ◽  
Russian Federation ◽  
Growth Rates ◽  
Value Added ◽  
Retail Trade ◽  
Economic Research ◽  
Russian Regions ◽  
Economic Activities ◽  
National Economic ◽  
The Russian Federation

Relevance. In contemporary economic research, the study of the diversity of factors of national economic growth is gaining more and more significance, particularly with regard to the so-called 'spatial-territorial factors'. In contrast to the existing concepts of regional and spatial economy, the approach described in this paper is based on the hypothesis that it is possible to accelerate national economic growth. It can be done by stimulating extended economic reproduction on the subnational level, that is, on the level of relatively independent and self-contained spatial and administrative units such as regions of the Russian Federation, municipalities, agglomerations, etc. Research objective. The study aims to propose a decomposition of the economic growth rates in Russia by territorial units and to describe the spatial-territorial factors of national economic growth. Data and methods. To characterize the spatial-territorial factors, we used indices of the physical volume of gross regional product (GRP) and gross value added (GVA) in types of economic activities in Russian regions in percentage to the previous year for the period of 2013-2018. The types of economic activities were specified according to the Russian Classifier of Economic Activities of 2007 (OKVED) (Statistical Classification of Economic Activities in the European Community - NACE Rev. 1.1 (2013-2016)) and OKVED-2 (NACE Rev.2 (2017-2018)). Results. We estimated the contributions of Russian regions to national economic growth by analyzing the data on the key types of economic activities in a 6-year period (2013-2018). We also identified the regions which accounted for the largest losses in economic growth, on the one hand, and those which, on the other hand, acted as drivers of the country's economic development. Conclusion. There is a small number of regions lagging in terms of GRP and their influence on the national rates of economic growth is also insignificant. The general rates of GRP decline in a region are determined, first and foremost, by the sluggish growth in those types of economic activities that have the largest share in GRP. The number and share of the regions which demonstrate extended economic reproduction, that is, deliver at least 2% growth a year, are also quite small. These regions make up slightly more than 19% of the country's GRP. The largest group of regions comprises those regions that do not go beyond the simple reproduction (their growth rates are less than 2% a year), while their share in the country's GRP exceeds 74%. The so-called ‘heavyweights’ - regions accounting for the largest share in the country's total GRP - have the strongest effect on the national rates of economic growth, hindering it. It is the economic structure of these regions that has the biggest influence on the country's performance in such types of economic activities as wholesale and retail trade and maintenance and repair of motor vehicles. Sadly, it is in these sectors that the 'heavyweights' demonstrate the largest losses in GVA. As a result, these sectors suffer the most, which is bound to be reflected in the country's overall economic growth.

ASSESSMENT OF THE BUDGETARY POLICY IN THE FIELD OF EQUALIZING BUDGETARY PROVISION IN RUSSIA

2021 ◽  
Vol 2 (3) ◽  
pp. 75-82
Author(s):  
O. R. TEGETAEVA ◽  
◽  
L. V. BASIEVA ◽  
A. A. BALIKOEVA ◽  
◽  
...  
Keyword(s):  
Economic Growth ◽  
Russian Federation ◽  
Financial Resources ◽  
Budgetary Policy ◽  
Theoretical Approaches ◽  
The Russian Federation ◽  
Regional Budgets ◽  
The Impact

The article highlights theoretical approaches to defining the concepts of budgetary provision of the budgets of the constituent entities of the Russian Federation. In this regard, an analysis of changes in the levels of subsidization of regional budgets is carried out, taking into account changes in the methods of distributing subsidies to regions, an assessment is made of the impact of changes in the management of public financial resources on the economic growth of regions.

Chukchi-Speaking Communities in Three Russian Regions

Sibirica ◽  
2019 ◽  
Vol 18 (2) ◽  
pp. 78-124
Author(s):  
Maria Pupynina ◽  
Yuri Koryakov
Keyword(s):  
Russian Federation ◽  
Language Shift ◽  
Russian Regions ◽  
Economic Activities ◽  
Local Authorities ◽  
The Russian Federation

The Chukchi-speaking population is distributed within three regions of the Russian Federation—Chukotka, Kamchatka, and Yakutia. Because of the lack of regular transportation between these regions and different attitudes toward the Chukchi from the local authorities, Chukchi-speaking communities in these regions have become isolated from one another and have been developing independently. This article observes the dynamics of language shift in all Chukchi-speaking areas through the analysis of the data of the Russian Censuses (1897–2015), literature sources, and personal observations. The figures in this article illustrate the distribution of Chukchi-speaking communities within their historical and modern homeland, Chukchi vernacular zones, the participation in traditional economic activities, and contacts with other languages.

scholarly journals Decomposition of Regional Development Shifts

2019 ◽  
Vol 9 (2) ◽  
pp. 3552-3557
Keyword(s):  
Regional Development ◽  
Russian Federation ◽  
Socioeconomic Development ◽  
Russian Regions ◽  
Economic Activities ◽  
Regional Effect ◽  
Federal Level ◽  
Industry Effect ◽  
The Russian Federation ◽  
National Industry

No breakthrough in the economic development of the Russian Federation could be achieved without the maximum utilisation of the inner regional potential. This implies high relevance of studies concerning the aspects of influence produced by internal and external factors on regional development, as well as analyses of the existing conditions at the macroeconomic level that support or hinder the engagement of inner regional reserves and opportunities in the regions' socioeconomic development. This would make the basis for a more comprehensive view of the regional system and its inherent properties, helping to identify ways to manage regional development. Objectives. Analysis and decomposition of developmental shifts in the Russian regions and their classification based on internal and external influences. Methods. The primary research method is the shift-share analysis method. The methods of logical and statistical analysis, particularly, correlation analysis, are also used. Results. The driver effects of shifts are calculated at the national, industry, and regional levels for 80 regions of the Russian Federation and the period comprising two time points, 2012 and 2017. The regional and industry effects are analysed by the types of economic activities. It is established that, firstly, the regional effect is negative for most regions and, secondly, the industry effect (in combination with the national effect) acts to smooth out the negative regional effect. Conclusions. A conclusion is made that positive shifts can be achieved both in strong and weak regional economies. Generally, the shifts in Russian regions are mostly influenced specifically by the internal regional conditions, which are mostly adverse, suggesting high importance of regional effects. The research highlights the significance of industry policies at the federal level, primarily in economic activities such as agriculture and manufacturing, and the need for improvement of regional policies implemented at the federal level to raise the number of self-developing regions.

scholarly journals Methodological Approaches to Assessing the Impact of Information Technologies on Economic Growth in the Regions of Russia

2020 ◽  
pp. 23-34
Author(s):  
Elena Petrova ◽  
Petr Bondarenko ◽  
Alla Shipileva
Keyword(s):  
Economic Growth ◽  
Correlation Analysis ◽  
Canonical Correlation Analysis ◽  
Russian Federation ◽  
Canonical Correlation ◽  
Methodological Approach ◽  
Assessment Tools ◽  
Broadband Internet ◽  
The Russian Federation ◽  
The Impact

In this work, the authors propose a methodological approach to study the impact of using NBICtechnologies on the economic growth of the regions of the Russian Federation. The authors show that among NBIC-technologies they are ICT that have the greatest impact on economic growth. The assessment tools are integrated empirical analysis methods. At the first stage, a cluster analysis was carried out using the k-means method according to the per-capita GRP, the level of population income and the level of ICT use, under which three groups of Russian regions were distinguished, characterized by low, medium and high dynamics of economic growth. At the second stage, a canonical correlation analysis was carried out and analytical expressions of the interconnections of economic growth indicators and a set of indicators characterizing the development and use of ICT in the regions of the Russian Federation were obtained. The study proves the relationship between ICT and economic growth in the regions of the Russian Federation. The greatest influence is exerted by indicators such as the number of mobile cell phones and broadband Internet subscribers. The canonical correlation analysis for the selected groups of regions did not give positive results, the results for the first cluster, which is characterized by low dynamics of economic growth, turned out to be statistically significant. Most likely, this is due to the fact that in this group using ICT gives the greatest effect. However, the substantiation of this hypothesis requires the expansion of the statistical base of the study, both in time and in terms of expanding the composition of indicators that reflect not only economic, but also social aspects of the processes under study.

scholarly journals Modern Approaches to Ensuring the Receipt of Corporate Income Tax in the Regional Budget

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Tatyana Shchukina ◽  
Lkhama Rabdanova
Keyword(s):  
Russian Federation ◽  
Income Tax ◽  
Corporate Income Tax ◽  
Negative Consequences ◽  
Economic Activities ◽  
Tax Revenues ◽  
Income Sources ◽  
Regional Budget ◽  
The Russian Federation ◽  
The Impact

The article considers the main factors that influence the dynamics of corporate income tax receipts in the regional budget. Thus, changes in federal and regional legislation, the expansion of the tax base, and the improvement of the administration of income sources have the greatest impact. The performance of tax revenues of the consolidated budget of the Trans-Baikal Territory is analyzed, and the share of this tax in the total amount of tax revenues of the budget in 2017-2020 is shown. It is noted that the underestimation of the corporate income tax in 2020 is associated with the negative consequences of the impact of the spread of the new coronavirus infection on the region's economy, which led to a slowdown in the work of certain industries and to a significant decrease in economic activities of the region. The ways of increasing the receipts of corporate income tax in the budget of the subject of the Russian Federation are shown, namely through strengthening the interdepartmental interaction of the regional state authorities with the local offices of the Federal Tax Service of the Russian Federation, the ability to independently decide on the provision of appropriate tax benefits in the territory of the region, reduced rates, other preferences for corporate income tax or refusal of it, and others.

scholarly journals Long-term economic growth and investment: features of the relationship between the North and the Arctic of the Russian Federation

2021 ◽  
Vol 112 ◽  
pp. 00032
Author(s):  
Alexander Kugaevsky ◽  
Anastasiia Dolgunova
Keyword(s):  
Economic Growth ◽  
Russian Federation ◽  
Growth Models ◽  
Raw Material ◽  
The Arctic ◽  
The North ◽  
The Russian Federation ◽  
Regional Product ◽  
The Impact ◽  
The Relationship

For the North and the Arctic constituent entities of the Russian Federation, the mechanism for the impact of investments on economic growth is quite specific due to special conditions of investment activities in the North. Investment processes in the northern territories are characterized by “extension” or increased duration of investment cycles, instability, but at the same time inertia. The results of the study reveal that “northerness”, as well as the raw material orientation of the economy, make it difficult to determine the relationship between such indicators as “fixed investment” and “gross regional product”, therefore, for these territories there is often no clear and statistically significant connection. The investment growth models in the strategic planning of the socio-economic development of these regions should be applied with due diligence and broad understanding of all the features and factors of economic growth in the North.

scholarly journals 3.3. ANALYSIS OF FACTORS OF FERTILITY OF POPULATION IN THE REGIONS OF THE RUSSIAN FEDERATION BY THE MODEL OF MODELING

2021 ◽  
pp. 48-55
Author(s):  
А.Б. Берендеева ◽  
О.В. Сизова
Keyword(s):  
Russian Federation ◽  
Birth Rate ◽  
Economic Factors ◽  
Russian Regions ◽  
Total Birth ◽  
Total Birth Rate ◽  
Main Tendency ◽  
The Russian Federation ◽  
The Impact ◽  
Socio Economic Factors

Рассмотрена динамика суммарного коэффициента рождаемости в Российской Федерации и факторы рождаемости. Выделено пять групп регионов РФ по уровню суммарного коэффициента рождаемости. На примере пяти регионов-лидеров и пяти регионов-антилидеров проанализировано воздействие на по-казатель рождаемости девяти социально-экономических факторов. Рассмотрена динамика ко-эффициента рождаемости и выявлена основная тен-денция изменения данного показателя. С помощью корреляционно-регрессионного анализа выявлены факторы, оказывающие определяющее воздействие на рождаемость в РФ. Выделены группы факторов по степени влияния на рождаемость населения. The dynamics of the total fertility rate in Russia and fertility factors are considered. Five groups of Russian regions were identified by the level of the total birth rate. Using the example of 5 leading regions and 5 anti-leader regions, we analyzed the impact on the birth rate of 9 socio-economic factors. The dynamics of the birth rate is examined and the main tendency for this indicator to change. Using correlation and re-gression analysis, factors were identified that have a decisive effect on fertility in Russia. Groups of factors are identified by the degree of influence on the birth rate of the population.

scholarly journals УГРОЗЫ ЭКОНОМИЧЕСКОЙ БЕЗОПАСНОСТИ РОССИИ И ПУТИ ИХ СНИЖЕНИЯ

2019 ◽  
Author(s):  
T. Uskova
Keyword(s):  
Economic Growth ◽  
Russian Federation ◽  
Industrial Sector ◽  
Economic Security ◽  
Innovation Activity ◽  
Russian Economy ◽  
The Russian Federation ◽  
The Impact

В статье дан анализ влияния ключевых угроз, влияние которых существенно снижает экономическую безопасность Российской Федерации. Сделан вывод о том, среди ключевых угроз безопасности экономики России низкие темпы экономического роста, продолжающаяся примитивизация структуры, высокая зависимость от энергосырьевого сектора, технологическая отсталость индустриального сектора, недостаток инвестиций, низкая инновационная активность. In this article, we analyze the impact of key threats which significantly reduce the economic security of the Russian Federation. We come to the conclusion that key threats to the security of the Russian economy include low rates of economic growth, ongoing simplification of the structure, high dependence on the energyresource sector, technological backwardness of the industrial sector, lack of investments, low innovation activity.

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