scholarly journals Managing the Gross Regional Product Structure in the Territorial Subjects of the Southern Federal District

2018 ◽  
Vol 8 (2) ◽  
pp. 18-29
Author(s):  
V. V. Gamukin
Keyword(s):  
Regional Economy ◽  
High Sensitivity ◽  
Federal District ◽  
Gross Regional Product ◽  
Index Method ◽  
Level Of Economic Development ◽  
Federal Districts ◽  
Structure Index ◽  
Regional Product ◽  
The Impact

The condition of national economy is substantially determined by the level of economic development of certain regions in the country. Adaptive capability of separate regional economy of external and internal risk damping depends on features of its structure which forms inertially under the impact of managerial influence from the authorities depending on three main managerial objectives of forming the structure of regional economy: bringing the structure of regional economy to a uniform state, individualization of this structure or strategy assuming integration of regions with the differing structure to macroregions. In the article the hypothesis of the assessment possibility of managerial impact by means of the indicators characterizing rapprochement or a discrepancy of the gross regional product (GRP) structure within one federal district is considered. The research of the structure of the given indicator at the subjects of the Southern Federal District for the period 2005–2015 is conducted using an index method, including calculation of the Szalai index and the index of structure offered by the author. It did not reveal a significant effect on change of the structure of GRP subjects in the analysed period. It provides with the possibility to speak about weakness or lack of purposeful managerial impact on this indicator from the district level of the power. In the federal district obvious tendencies to more balanced participation of regions in creation of total amount of GRP are not revealed. Due to the universality and high sensitivity of the received results, the formulated algorithm of calculation of the structure index, is acceptable for convergence determination of the structure of regional economies on the basis of the GRP structure indicator and can be applied in other federal districts of Russia. 

scholarly journals The regions of Russia: specifics of socio-economic development

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Tat’yana Pozdnyakova
Keyword(s):  
Economic Development ◽  
Russian Federation ◽  
Federal District ◽  
Federal State ◽  
Gross Regional Product ◽  
Socio Economic Development ◽  
Federal Districts ◽  
The Russian Federation ◽  
Per Capita ◽  
Regional Product

The Federal District, as the highest link in the economic zoning of the Russian Federation, is the most important element of the national economic system, which largely determines the features of its functioning. The article provides an overview of the internal differences of the federal districts of the Russian Federation in terms of gross regional product. This indicator is one of the most important indicators of the specificity of the socio-economic development of the regions, and also, to a certain extent, reflects the possibility of their balanced functioning. Based on the official data presented on the website of the Federal State Statistics Service, the federal districts of Russia were ranked according to the indicator under study and their typology was presented. Within the framework of this typology, groups are identified that reflect the differences between the constituent entities of the Russian Federation in the distribution of gross regional product per capita in federal districts with its value above or below the average Russian level, respectively. Within each federal district, entities with maximum and minimum values of gross regional product per capita were identified. On this basis, an intra-district imbalance coefficient is calculated, reflecting the degree of the gap in the levels of socio-economic development of the constituent entities of the Russian Federation within the corresponding federal district. A brief description of the federal districts belonging to two different types is given in terms of the balance of their socio-economic development. The general trend of dependence of the coefficient of intra-district imbalance on the level of regional development is shown. There are some features that need to be taken into account when formulating development programmes and strategies at the federal district gape.

The Impact of Innovation, Labour and Capital in Gross Regional Product As an Indicator of Sustainable Development: the Regions of the Central Federal District and Tula Region

2018 ◽  
Vol 6 (5) ◽  
pp. 4-9 ◽  
Author(s):  
Р. Жуков ◽  
R. Zhukov ◽  
В. Поляков ◽  
V. Polyakov ◽  
М. Васина ◽  
...  
Keyword(s):  
Sustainable Development ◽  
Statistical Data ◽  
Federal District ◽  
Critical Values ◽  
Gross Regional Product ◽  
Permissible Limits ◽  
Central Federal District ◽  
Regional Product ◽  
Multiplicative Models ◽  
The Impact

The influence of the innovative component of the economy, labor and capital on the gross regional product in the regions of the Central Federal district, including the Tula region, is estimated. The dynamics of changes in coefficients of multiplicative models in the form of Cobb-Douglas, constructed using statistical data of Rosstat for 2007–2016, is studied. The critical values of the factors at which the volume of gross regional product can go beyond the permissible limits of a given trajectory constructed using the method proposed by the authors are determined.

scholarly journals Using the Legacy of the 2018 FIFA World Cup in the Constituent Entities of the Volga Federal District

REGIONOLOGY ◽  
2020 ◽  
Vol 28 (2) ◽  
pp. 261-278
Author(s):  
Olga E. Valkova ◽  
Vyacheslav M. Kitsis
Keyword(s):  
Federal District ◽  
Tourism Industry ◽  
Gross Regional Product ◽  
World Cup ◽  
Statistical Research ◽  
Fifa World Cup ◽  
The World ◽  
First Results ◽  
Regional Product ◽  
The Impact

Introduction. One of the most important issues facing the host cities of the 2018 FIFA World Cup in Russia is the efficient use of the championship’s legacy in the future. In this regard, the purpose of the study is to consider the first results (economic indicators) and territorial features of using the legacy created during the preparation for and holding of the World Cup in the host cities in the Volga Federal District. Materials and Methods. The main provisions of the article are based on materials from periodicals, Internet sources, and statistical data. When implementing the article, statistical research methods were used to identify the territorial features of the impact of the 2018 FIFA World Cup on the gross regional product of the host regions. Comparison of regions was carried out using indicators of the development of the tourism industry such as the size of tourist flow, creation of new jobs, commissioning of new service enterprises, etc. Results. The influence of the expenses associated with organizing and holding the 2018 FIFA World Cup on the economy of the country as a whole, as well as on the gross regional product in those regions of the Russian Federation where the matches were held, has been studied. The authors have concluded that assessment of the effectiveness of using the World Cup legacy should be based on two indicators: the ratio of the effect obtained to the annual gross regional product and the share of tourism in the effect. The authors have examined the existing experience of using the World Cup legacy in four constituent entities of the Volga Federal District that hosted the World Cup matches and have identified the problems facing the tourism industry in these regions. Discussion and Conclusion. The legacy of the 2018 FIFA World Cup is of great importance for the development of tourism, since tourism infrastructure is an important factor in attracting tourists and will be in demand for a long time to come. The results of the study can contribute to the development of regional programs for the use of the legacy of the 2018 FIFA World Cup

scholarly journals Investment attractiveness of Republic of Crimea and its assessment

2020 ◽  
Vol 5 (4) ◽  
pp. 113-121
Author(s):  
I. N. Primyshev ◽  
Keyword(s):  
Economic Activity ◽  
Regional Economy ◽  
Swot Analysis ◽  
Federal District ◽  
Industrial Complex ◽  
Gross Regional Product ◽  
Strategic Development ◽  
The Russian Federation ◽  
The Republic ◽  
Regional Product

In the article, the author calculated the value of the investment attractiveness index for the subjects of the Russian Federation that are part of the southern Federal district. A SWOT analysis of the investment attractiveness of the Republic of Crimea is conducted. Measures aimed at implementing the investment development of the Republic of Crimea are proposed. The analysis of the structure of the gross regional product by type of economic activity is carried out. It is revealed that the largest share in the structure of the regional economy falls on the industrial complex of the Republic of Crimea. The main tasks and measures for the strategic development of the industrial complex of the Republic of Crimea are defined. Assessing the investment attractiveness of the region is of interest to authorities, investors and local business communities

scholarly journals MORBIDITY WITH TEMPORARY LOSS OF WORK CAPACITY IN WORKING POPULATION: FEDERAL AND REGIONAL INDICES AND TRENDS OVER 2005 - 2014

2019 ◽  
Vol 96 (11) ◽  
pp. 1054-1059 ◽  
Author(s):  
Natalia A. Lebedeva-Nesevrya ◽  
V. G. Kostarev ◽  
N. V. Nikiforova ◽  
M. Yu. Tsinker
Keyword(s):  
Incidence Rate ◽  
Age Groups ◽  
Federal District ◽  
Work Capacity ◽  
Working Population ◽  
Managerial Decisions ◽  
Perm Krai ◽  
Federal Districts ◽  
High Incidence Rate ◽  
Regional Product

The article presents data on morbidity with temporary loss of work capacity (MTLWC) among working population in the whole of the Russian Federation and federal districts throughout the period from 2005 to 2014. According to official statistics, common number of losses of working days is shown to decline with a rate of about 1.1-1.3% per year mainly due to a reduction in the number of cases of diseases. The Urals and Privolzhsky Federal Districts are characterized by highest rates both of the incidence rate and the number of days of MTLWC. For the example, the Perm Krai (Privolzhsky Federal District) as a region with a typical MTLWC structure was shown to represent greatest losses of working days in the age groups of 25-29 and 50-54 years of workers of both genders. The consistent high incidence rate of injuries, poisoning and other effects of external influences in working men under the age of 24 years is of particular concern. The situation testifies the need to create targeted programs to prevent diseases in young workers, who in subsequent years will form the bulk of the country’s productive forces. At the regional level MTLWC is established to account for an annual loss of about 1.3-1.5% of the gross regional product. The adoption of effective managerial decisions to reduce MTLWC is shown to allow solve not only medical and demographic, but also economic problems in certain regions and the country as a whole.

scholarly journals POPULATION INCOME DYNAMICS AND ECONOMIC GROWTH IN THE NORTH CAUCASIAN FEDERAL DISTRICT

Kavkaz-forum ◽  
2021 ◽  
pp. 113-123
Author(s):  
М.Р. КУЛОВА ◽  
Е.Ю. ИВАНОВА ◽  
Т.Ю. ИТАРОВА
Keyword(s):  
Economic Growth ◽  
Household Income ◽  
Correlation Coefficients ◽  
Strong Relationship ◽  
Federal District ◽  
Gross Regional Product ◽  
North Caucasus ◽  
Significant Discrepancy ◽  
The North ◽  
Regional Product

В статье рассматриваются особенности взаимосвязи, инертность и изменчивость динамики доходов населения и показателей валового регионального продукта в субъектах Северо-Кавказского федерального округа. В условиях стагнации российской экономики в последние годы проблема роста валового регионального продукта и доходов населения в депрессивных регионах Северного Кавказа приобретает особую значимость. Проведенный авторами корреляционный анализ доходов населения и валового регионального продукта за 2000-2018 гг. методом Пирсона выявил, что, в отличие от российских регионов в целом с их достаточно сильной связью между валовым региональным продуктом и доходами населения, в регионах Северного Кавказа наблюдалось очень значительное расхождение в коэффициентах корреляции. В частности, в Северной Осетии в течение 2011-2015 гг. экономический рост и доходы населения находились в состоянии слабой зависимости, а уже в 2015-2018 гг. эта связка стала почти идеальной, когда коэффициент корреляции достиг 0,99. Резкие скачки в тесноте связей ВРП и доходов населения имели место в Дагестане, Карачаево-Черкессии, в то время как относительно стабильная динамика коэффициентов корреляции ВРП с доходами была характерна для Ингушетии. В Кабардино-Балкарии и Ставропольском крае, где были отмечены низкие и отрицательные значения коэффициентов корреляции, в динамике доходов населения и экономическим ростом проявилась либо слабая связь, либо обратная связь, когда увеличение одной переменной приводит к уменьшению другой. В целом, разнонаправленность динамики показателей валового регионального продукта и доходов населения в регионах СКФО отражает неэффективность экономической политики и необходимость более дифференцированного подхода к отдельным территориям макрорегиона. The article discusses the features of the relationship, inertia and variability of the dynamics of household income and gross regional product indicators in the subjects of the North Caucasian Federal District. In the context of the stagnation of the Russian economy in recent years, the problem of the growth of GRP and income of the population in the depressed regions of the North Caucasus is of particular importance. The authors' correlation analysis of the population's income and the gross regional product for 2000-2018 according to Pearson method revealed that, in contrast to the Russian regions as a whole with their rather strong relationship between the gross regional product and the population's income, there was a very significant discrepancy in the correlation coefficients in the regions of the North Caucasus. In particular, in North Ossetia, during 2011-2015, economic growth and income of the population were in a state of weakened mutual dependence, and already in 2015-2018, this link became almost perfect, when the correlation coefficient reached 0.99. Sharp changes in the close relationship between GRP and income of the population occurred in Dagestan, Karachay-Cherkessia, while the relatively stable dynamics of the correlation coefficients of GRP with income was characteristic of Ingushetia. In Kabardino-Balkaria and Stavropol Krai, where low and negative values of correlation coefficients were noted, the dynamics of household income and economic growth showed either a weak relationship or an inverse relationship, when an increase in one variable leads to a decrease in the other. In general, the divergence of the dynamics of the gross regional product and income indicators in the regions of the NCFD reflects the inefficiency of economic policy and the need for a more differentiated approach to individual territories of the macroregion.

scholarly journals INFLUENCE OF THE FOREIGN SECTOR ON THE LEVEL OF ECONOMY DEVELOPMENT OF THE BORDER NORTHERN REGIONS

2020 ◽  
Vol 70 (4/2020) ◽  
pp. 85-94
Author(s):  
M. V. Moroshkina ◽  
Keyword(s):  
Geographical Location ◽  
Federal District ◽  
Location Factor ◽  
The North ◽  
Northern Regions ◽  
Article Analysis ◽  
Federal Districts ◽  
And Performance ◽  
National Economies ◽  
The Impact

The northern and border regions are remote from the main economic centers of the country. Geographical location is not only a limitation, but also a competitive advantage, which is determined by proximity to economically developed national economies and greater opportunities for interaction. The main goal of the study is to assess the impact of the geographical factor on development dynamics. The object of the study is the border northern regions of the NWFD, Russia and Finland. The study uses a set of methods and tools to analyze the dynamics of the development of territories with a border and northern location. Within the framework of this article, analysis is carried out on the basis of statistical methods of research. Analytical work is based on the information base of Rosstat and data from Internet sources. As part of the study, the level of Russian-Finnish relations in the investment component vector is determined. An assessment of foreign investment in the context of federal districts was made, which made it possible to distinguish the influence of the geographical location factor. Indicators of labor productivity in the national and foreign sectors in the regions of the North-Western Federal District have been determined. The dependence of the productivity indicator on the geographical location of the territory was investigated.The conclusions of the Territory, having a geographical position favorable for foreign economic activity, are not able to fully take advantage of its competitive advantages. The study identified a low level of dependence between geographical location and performance. The results will help to shape the directions of increasing this indicator and can be used in strategic and program documents.

scholarly journals ASSESSMENT OF THE SOCIO-ECONOMIC POTENTIAL OF THE SIBERIAN FEDERAL DISTRICT’ REGIONS

2018 ◽  
Vol 2018 (2) ◽  
pp. 114-121
Author(s):  
Г. Литвинцева ◽  
G. Litvintseva ◽  
А. Лисицин ◽  
A. Lisitsin
Keyword(s):  
Development Strategy ◽  
Regional Economy ◽  
Federal District ◽  
Economic Potential ◽  
Siberian Federal District ◽  
Territorial Development ◽  
Index Method ◽  
Important Indicator ◽  
Novosibirsk Region ◽  
The Republic

<p>For the regional economy and for the economy of a country as a whole it is necessary to correctly assess the economic potential of their territories. Errors or inaccuracies committed in this case can lead not just to inefficient spending of budgetary funds, but also to the wrong choice of the development strategy, which can result in a loss of competitiveness of the economy of the region and its cities and affect the development of the national economy as a whole. The purpose of this work is to provide a comparative assessment of the economic potential of the Novosibirsk region and other regions of the Si berian Federal District. The study examined the socio-economic potential of the region as an important indicator of territorial development. Its estimation is based on the index method and the cluster approach. Six groups of development indices of the regions of the Siberian Federal District were selected. Were used a method for standardizing indicators using variance and hierarchical methods of clustering. Clusters of the Siberian Federal District have been identified. A comparative analysis of the potential of the Novosibirsk region and regions from other clusters is carried out. Comparison of the Novosibirsk region with its neighbors, representatives of other, significantly different clusters – the Omsk region and the Republic of Altai – allows us to conclude that the Novosibirsk region exceeds the neighboring regions in terms of its economic potential. In the regional economy, the production, infrastructure and labor components of the potential are the most developed (and, therefore, most promising for use as locomotives of regional development). The remaining components are relatively behind, which makes it necessary to draw attention to them from the authorities and management. The results of the study can be used to improve regional economic p olicy.</p>

scholarly journals Alternative factor analysis of the science intensity of the invested capital in the Baikal region

2018 ◽  
Vol 212 ◽  
pp. 08015
Author(s):  
Evgeny Filatov
Keyword(s):  
Factor Analysis ◽  
Russian Federation ◽  
Economic Activity ◽  
Baikal Region ◽  
Gross Regional Product ◽  
Scientific Center ◽  
The Russian Federation ◽  
Regional Product ◽  
The Impact ◽  
Science Intensity

Factor analysis is the basic tool when conducting a comprehensive analysis of economic activity. In the factor analysis, the major attention is given to the research of internal reasons that form the specificity of the phenomenon under study and identification of generalized factors standing behind relevant specific indicators. The article deals with the analysis of the science intensity of the invested capital in the Baikal region of the Russian Federation. Science intensity is an important parameter for determining the efficiency of the economic activity. The author introduced into scientific circulation the following indicators: the science intensity of the invested capital, the science intensity of the gross regional product and the investment return of the gross regional product. The paper reveals the influence of factors affecting the change in the science intensity of the invested capital in the Baikal region of the Russian Federation, and provides methodological approaches to its calculation. The article presents the author’s analytical and systematized statistical material for the analysis of the key indicators revealing the impact of the invested capital in the Baikal region of the Russian Federation on the change of the science intensity. The research has been carried out in the framework of the scientific project of the Irkutsk Scientific Center of the Siberian Branch of the Russian Academy of Sciences No. XI.174.1.4 “Activation of the internal development potential of regions of the resource specialization (on the example of the Baikal region)”.

scholarly journals CORRELATION-REGRESSION ANALYSIS AS A TOOL FOR PREDICTING THE IMPACT OF THE FUNCTIONING OF THE SOCIO-ECONOMIC CLUSTER IN THE HOUSING SECTOR ON THE REGIONAL ECONOMY

2020 ◽  
Vol 3 (33) ◽  
pp. 57-65
Author(s):  
L.B. Leonova ◽  
Keyword(s):  
Regression Analysis ◽  
Mathematical Models ◽  
Performance Indicator ◽  
Housing Sector ◽  
Gross Regional Product ◽  
Cluster Policy ◽  
Final Consumption ◽  
Fixed Assets ◽  
Regional Product ◽  
The Impact

At present, when the country has successfully implemented a cluster policy since 2010, which contributes to increasing the competitiveness of both regions and individual industries, the impact of industry clusters on the main economic indicator is an extremely relevant and important issue. Of course, basically, when we talk about clustering, we are talking primarily about industrial network structures. However, given the need for social transformations in the country and improving the quality of life of the population, it is necessary to know how the development of the socioeconomic cluster in the housing and utilities sector will affect the level of economic development of the region and the country as a whole. The article discusses the possibility of using correlation-regression analysis to predict the gross regional product (GRP) depending on the factors that are significantly influenced by the housing and utilities sector. These factors, in our opinion, include “The volume of shipped goods of our own production, works and services performed on our own by type of activity”, “The volume of work performed in the type of economic activity“ Construction ”,“ Investments in fixed assets ”,“ Final consumption ”, etc. The calculations were carried out for the Sverdlovsk region. To predict the GRP indicator, the authors used two-factor models. The obtained mathematical models confirm the significant impact of all considered factors on the performance indicator. As a result of the calculations, it can be noted that the gross regional product increases by an average of 102 million rubles. excluding the indicator of the volume of own production only due to the volume of construction and installation work. The gross regional product decreases by an average of 94,560 million rubles. excluding the indicator of investments in fixed assets due to the indicator "final consumption of the Sverdlovsk region" and increases by 5.56 million rubles. through investments in fixed assets of the Sverdlovsk region. Thus, the most significant factor influencing the region's GRP is the “Final consumption in the Sverdlovsk region” factor, which means that the proposed mathematical models will be able to adequately assess the impact on the region’s GRP of the activity of the socio-economic cluster in the housing sector, since the population's expenditures on Housing and utility services of the Sverdlovsk region make up about 28-35% of all consumed services and affect the final consumption of the region's population, especially in the context of constantly growing tariffs in this area.

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