scholarly journals Evaluation of the development unevenness of the Russian Federation regions by socio-economic resource components

2019 ◽  
Vol 16 (4) ◽  
pp. 54-72 ◽  
Author(s):  
V. E. Goncharenko ◽  
V. F. Korobova

In the state strategy of the economic security of the Russian Federation the increased differentiation of regions and municipalities on the level and pace of socio-economic develop-ment is indicated as the main challenges, as well as the insufficient funding of industrial production, a weak innovation activity, lagging behind in the development and implementation of new and emerging technologies, increasing differentiation of the population by the income level, lack of labour resources, reduced quality and accessibility of education, health care and, as a result, the decline in the quality of the human capital.The purpose of this paper is to develop a system of integral indicators of resource components of socio-economic potential of the regions of the Russian Federation based on a legitimate, credible and accessible statistical data for the evaluation of their development unevenness. Materials and methods. Resource potential of the region is being considered as a collection of six groups of socio-economic indicators: fixed funds, financial and investment resource, labour resource, science and innovation resources, information resource and social resource. Each group includes indicators that are directly related to the possibilities of production of goods and services. In accordance with the methodological approaches of the resource capabilities evaluation of the region on the basis of integral indicators the principles of completeness, adequacy, accessibility, universality and formalization of the indicators are used. Evaluation of a group of indicators and all indicators of groups as a whole is made according to the values of integral indicators of reduction or exaggeration in comparison with the reference values of the resource components. Various indicators in the group have a different level of im-pact on the gross regional product that is taken into account in assessing their weight indicators. Time series values of the resource components in each group correlate with the time series values of the gross regional product, the coefficients values of pair correlation are used to recalculate them into weighting coefficients. Formulas for evaluating the individual indicators in the group are developed, integral indicators of the group of resource components and integral indicators of the resource potential of the region as a whole.Results. Given the significant differentiation of regions of Russia according to various objective factors, it is considered appropriate to compare regions within Federal Districts. For the Central Federal District, the Moscow region is taken as the benchmark for comparison, and relative levels of reduction in the resource components of other regions are calculated relative to the level of indicators of its resource potential. Analysis of the data shows that the highest level of resource reduction components of the Ivanovo region is observed in the resource group of science and innovation – 77.1 %, resources of the fixed funds, financial-investment and labour resources are equal the value of this indicator – from 42.3% to 45.4 %. The integrated indicator of relative resource reduction components in the Ivanovo area totaled 41.9 %.Conclusion. Using statistical data for the Ivanovo and Yaroslavl regions as examples, calculations of integral indicators are carried out, which demonstrate the possibility of assessing the regional development unevenness by their resource component of socio-economic development.

Author(s):  
Н.А. ЧИСТОВА ◽  
А.С. БОРОДИН ◽  
А.Е. КУЧЕРЯВЫЙ

Статья посвящена анализу возможностей сетей связи для сокращения цифрового разрыва между регионами Российской Федерации. Основным результатом статьи является установление взаимосвязи валового регионального продукта и доли занятых в сфере информатизации и связи в общем числе занятых во всех отраслях. Результаты статьи могут быть использованы заинтересованными министерствами и ведомствами при реализации программы цифровой экономики, научными и проектными организациями при планировании и проектировании сетей связи, а также университетами в учебном процессе. The article is devoted to the analysis of the capabilities of telecommunication networks with ultralow latency to reduce the digital divide between the regions of the Russian Federation. The main result of the article is to establish the relationship between the gross regional product and the share of people employed in the field of informatization and communications in the total number of people employed in all industries. The results of the article can be used by interested ministries and departments in the implementation of the digital economy program, scientific and design organizations in the planning and design of communication networks, as well as by universities in the educational process.


2018 ◽  
Vol 212 ◽  
pp. 08015
Author(s):  
Evgeny Filatov

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)”.


2021 ◽  
Author(s):  
Konstantin Pozdnyakov

The purpose of the monography is to elaborate the concept of the development of inter-regional investment cooperation by identifying the trends and features of its impact on the economic growth potential of the macro-region. The monography consists of the introduction, three chapters, conclusion and applications, as well as a list of references. The first chapter substantiates theoretical approaches to the essence, conditions and factors of regional development and the content of interregional investment cooperation in the current socio-economic conditions, analyzes the features of institutional design and the mechanisms for regulating regional cooperation for economic growth and development purposes, taking into account the Russian and foreign experience on the example of the European Union. The second chapter, basing on the economic analysis, identifies the trends in the development of the regions of the Central Federal District of the Russian Federation in terms of emerging macro-regions. A model has been proposed to assess the extent of the region’s economy’s involvement in inter-regional relations, which would allow to determine the dependence of variables such as interregional exchange, investment and gross regional product. Using mathematical modeling tools, the impact of these factors on the growth of the gross regional product of the Central Federal District of Russia, as well as its two regions — Moscow and Belgorod region — was evaluated. The third chapter identifies the prospects for the development of interregional investment cooperation in the Central Black Earth macro-region of the Central Federal District of the Russian Federation. The concept of developing inter-regional investment cooperation in the macro-region within the framework of the creation of a network of territories ahead of socioeconomic development (PSEDA) has been developed. The mechanism of inter-regional investment cooperation in the framework of the creation and development of the territories ahead of socio-economic development (PSEDA) has been adapted in order to form the points of economic growth in the macro-region. The main text of the monography is laid out on 234 pages and is illustrated with 21 drawings and 40 tables. The monography contains 4 applications. The references list includes 144 units.


2020 ◽  
pp. 7-14
Author(s):  
Tatyana Yu. Vasileva

The question of balanced redistribution of tax revenues generated in the territory of a subject of the Russian Federation is becoming more urgent. Their value depends largely on the tax burden on the regional economy, which in turn is determined not only by the system of taxes and fees currently in force, but by the sectoral structure of the economy as well. It is against this background that the peculiarities of sectoral taxation are studied on the example of such a subsidized subject of the Russian Federation as the Chuvash Republic, which is the purpose of the study. Such research methods as analytical, comparative methods of study, the grouping method, graphic images are applied. The dynamics and structure of tax revenues and gross regional product based on types of economic activity are examined and compared. It is revealed that the first place in terms of the share in the gross regional product in the Chuvash Republic is taken by manufacturing, the second place falls on trade, the third – to agriculture. At the same time in 2018–2019, manufacturing enterprises provided 47% of all tax payments of the Chuvash Republic, the second most important was trade activity (12.7% of all payments in 2019), construction accounted for 7.3% of all tax payments. Due to the fact that the tax burden on the regional economy is a criterion for assessing the impact of taxation on the socio-economic development of the region taking into account the regional tax policy and its sectoral structure, the authors present calculation of the level of actual tax burden as the ratio of mobilized tax payments to gross regional product by major types of economic activities in the Chuvash Republic. As the calculations showed, activities such as manufacturing, mining and construction bear a significant tax burden. Agriculture provided only 0.4% of received tax payments in general for Chuvashia for all activities and carries the lowest tax burden due to the peculiarities of taxation in this industry. Thus, the tax burden is extremely unevenly distributed by the types of economic activity.


2020 ◽  
Vol 34 (2) ◽  
pp. 77-84
Author(s):  
Z.T. Abusufyanova ◽  

Problems of illegal export of funds abroad are relevant for Russia. Offenses related to the non-return of exported foreign currency earnings to the country, transfers of foreign currency abroad under fictitious contracts for the supply of goods, smuggling of cash currency and other forms of illegal export of funds pose a real threat to the country's economic security. The article considers the main areas of currency control carried out by customs authorities, analyzes the activities of customs authorities in the implementation of currency control for the period from 2014 to 2018. When writing the work, the following research methods were used: expert assessments, analysis, synthesis, system analysis, statistical analysis, formal legal, comparative legal methods. Based on the analysis of statistical data of the Federal Customs Service of the Russian Federation, the opinions of scientists and experts in the field of customs, conclusions are drawn about the most common violations of the currency legislation of the Russian Federation identified by customs authorities.


2021 ◽  
pp. 42-47
Author(s):  
М.М. Низамутдинов ◽  
В.В. Орешников ◽  
А.Р. Атнабаева

Статья посвящена вопросам прогнозирования развития субъектов Российской Федерации. Рассмотрен прогноз динамики валового регионального продукта Республики Башкортостан на средне- и долгосрочную перспективы, а также ряд взаимосвязанных параметров. Проведен анализ показателей в текущих и сопоставимых ценах, их динамики и соотношения. Выявлен ряд противоречий, указывающих на наличие рассогласованности представленных значений. Раскрыты отдельные противоречия другим документам стратегического планирования. Результаты могут быть использованы для повышения эффективности управления региональным развитием. The article is devoted to the issues of forecasting the development of the subjects of the Russian Federation. The forecast of the dynamics of the gross regional product of the Republic of Bashkortostan for the medium - and long-term prospects, as well as a number of interrelated parameters, is considered. The analysis of indicators in current and comparable prices, their dynamics and correlation is carried out. A number of contradictions are revealed, indicating the presence of inconsistency of the presented values. Some contradictions with other strategic planning documents are revealed. The results can be used to improve the efficiency of regional development management.


2021 ◽  
Vol 270 ◽  
pp. 01033
Author(s):  
Elena Piskun ◽  
Vladimir Khokhlov ◽  
Lidiya Guryanova

Energy safety problems arise and require solutions at the macro and meso levels. Energy security contributes to the extensive and intensive development of industry and services, the creation of comfortable living conditions for the population of the region. At the same time, there is a problem of quantitative assessment of the energy security of the region. The purpose of this study is to find an indicator reflecting the state of regional energy security and its impact on the economy. The proposed methodology makes it possible to determine: the supply of fuel and energy resources, taking into account the availability of the resource and the level of its consumption; the level of energy security based on changes in the provision of energy resources, linked to fluctuations in the gross regional product. According to the studies carried out according to the developed methodology and based on the statistical data of the city of Sevastopol, the level of energy security of the region is positive, despite the negative values of the provision of energy resources (except for 2020). At the same time, the gross regional product shows growth. It can be assumed that subsequent periods of the city’s functioning will be characterized by economic growth. Further research by the authors will be aimed at predicting both the energy and economic security of the region.


2018 ◽  
pp. 60-68 ◽  
Author(s):  
A. S. Belevsky ◽  
A. A. Zaitsev

According to official statistics, over 1.5 million people have BA in the Russian Federation. Direct costs associated with the treatment of BA in the Russian Federation amount to 8.5 billion rubles. The socioeconomic burden of BA put on society, along with temporary and permanent disability, is caused by not only direct, but also indirect costs, as well as costs associated with payments for temporary disability, which leads to a decrease in GDP and GRP (internal gross regional product). The pharmacoeconomic comparison of two alternative drug technologies in the studied groups showed a reasonable opportunity to transfer patients to the drugs that have alternatives produced within the country, confirming that the cost per efficiency unit in using Formisonide-Native and SalticasoneNative is lower than that of drugs produced by a foreign pharmaceutical company (Symbicort Turbuhaler and Seretide Multidisk)


Author(s):  
Elena S. Vylkova ◽  
◽  
Natalia G. Victorova ◽  
Vladimir N. Naumov ◽  
Natalia V. Pokrovskaia ◽  
...  

The relevance of tax clustering is due to the need for a competent scientifically grounded definition of territories that are drivers of economic growth. The aim of the study was to identify, on the basis of econometric methods, clusters of the regions of the Russian Federation by a set of indicators reflecting their tax status, tax administration, informatization of the tax environment. The Russian regions were grouped into clusters by a set of tax indicators based on official statistical data for 2018 using SPSS, Rstudio, Anaconda Navigator software. As a result of the anomalous values, five federal subjects were excluded from the analysis: Moscow, Sevastopol, Ingushetia, Khanty-Mansi and Yamalo-Nenets Autonomous Okrugs. Econometric analysis made it possible to conclude that there are three clusters of regions according to the analyzed parameters: 1) the least functionally proportional (7 regions), which have the lowest tax intensity of the gross regional product, the highest debt intensity of the gross regional product and the highest level of tax debt of the employed population, companies, and individual entrepreneurs; 2) medium functionally proportional (50 regions) with the lowest efficiency of tax administration, the highest coefficient of tax collection, the lowest level of taxation of the employed population and individual entrepreneurs (but not companies), the lowest level of tax debt of all analyzed subjects, and the lowest additional tax charges and sanctions for violation of tax legislation from tax audits, 3) the most comprehensively successful (22 regions), which are characterized by the highest tax intensity of the gross regional product and the highest level of tax revenues generated by the employed population, companies, and individual entrepreneurs. The regions of this cluster have the most effective taxation of value added and financial results of organizations. Among the regions of the third group, the leaders in terms of digital indicators are: Tyumen Oblast, Murmansk Oblast, Republic of Tatarstan, Leningrad Oblast. The study can develop in the following promising directions: 1) inclusion in the cluster analysis of indicators, not typical for the characteristics of the tax environment, that most fully reflect the influence of external diverse factors on the tax state of the regions; 2) extrapolation of the results to assess the tax status of the territories of other states; 3) the need to improve the tax clustering method based on artificial intelligence technology.


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