TELECOMMUNICATION NETWORKS AS A BASE FOR BRIDGING THE DIGITAL DIVIDE BETWEEN RUSSIAN FEDERATION REGIONS

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.


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.


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.


2021 ◽  
Vol 19 (2) ◽  
pp. 227-245
Author(s):  
Tat'yana M. POZDNYAKOVA

Subject. This article deals with the issues related to the economic advancement of the subjects of the Far Eastern Federal District of the Russian Federation. Objectives. The article aims to identify trends in the economic advancement of the subjects of the District on the basis of changes in gross regional product and analysis of the investment component. Methods. For the study, I analyzed the Russian Federal State Statistics Service data. Results. The article classifies the subjects of the Far Eastern Federal District by volume and dynamics of gross regional product for 2001–2017. It identifies possible changes in the economic situation of the Far Eastern Federal District entities, taking into account the calculated investment ratio. Conclusions and Relevance. The volume of investments has a significant impact on the production of the gross regional product of the Russian Federation. Therefore, there may be changes in the placement of forces in the economic space of the Russian Far East. The results of the study can be taken into account to develop and adjust State programmes and development strategies of the Russian Far East.


2018 ◽  
Vol 212 ◽  
pp. 08017 ◽  
Author(s):  
Evgeny Filatov

Each effective indicator depends on numerous and various factors. The more detailed is the study of the influence of factors on the magnitude of the effective indicator, the more accurate are the results of the analysis and the evaluation of the quality of the subject of the research work. Hence, in the analysis of economic activity, an important methodological issue is the study and measurement of the influence of factors on the magnitude of the economic indicators studied. The article deals with the analysis of the investment intensity of the gross regional product of the Baikal region of the Russian Federation. The author has introduced into scientific circulation the following indicators: the investment intensity of the gross regional product, the science intensity of the gross regional product and the science return of the invested capital. The paper reveals the influence of the factors affecting the investment intensity of the gross regional product in the Baikal region of the Russian Federation and provides methodological approaches to its calculation. Also, the article presents the author’s analytical and systematized statistical material for the analysis of the key indicators revealing the impact on the investment intensity of the gross regional product in the Baikal region of the Russian Federation. The paper is produced in the framework of the scientific project 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 ◽  
Vol 112 ◽  
pp. 00032
Author(s):  
Alexander Kugaevsky ◽  
Anastasiia Dolgunova

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.


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