DIGITAL PRODUCTION AND TECHNOLOGICAL DEVELOPMENT OF REGIONAL ECONOMIC SYSTEMS

2020 ◽  
Vol 3 (11) ◽  
pp. 86-92
Author(s):  
O. A. DONICHEV ◽  
◽  
S. A. GRACHEV ◽  
M. L. BYKOVA ◽  
◽  
...  

The article is devoted to the analysis of aspects of industrial and technological development of regions in the conditions of digitalization. The purpose of the study is to try to determine the conditions and assess the economic growth of regions depending on the state of digitalization of the industrial and economic entities located in them. The research methodology is based on the use of statistical, comparative, and economic-mathematical analysis methods to establish the existing dependencies. A significant relationship has been established between the state of digitalization of the region and the growth rates of the gross regional product in them. The suggested approach can be applied by representatives of government authorities, scientists, and businesses to continue the analysis.

Kavkaz-forum ◽  
2021 ◽  
pp. 113-123
Author(s):  
М.Р. КУЛОВА ◽  
Е.Ю. ИВАНОВА ◽  
Т.Ю. ИТАРОВА

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.


2019 ◽  
pp. 108-115
Author(s):  
S. A. Bakhodurova

The essence and indicators of a concept of sustainable development of economy have been considered. Dynamics of an indicator of social and economic development of the region (gross regional product) has been analyzed and the stability indicator has been сalculated. Macroeconomic aspects of unstable development of economy have been revealed through imbalances of inflows and outflows in the two-sector, closed and opened economic systems. The reasons and consequences of disproportions of an economic system have been identified. Measures and directions of state policy in the field of stimulating the development of small and medium-sized businesses, creating a favorable business environment, stimulating export-oriented production, improving migration policies, which will reduce these imbalances, have been proposed. Accounting of regularity of macroeconomic interrelations will allow you to assess a situation of economic systems, and studying of the existing imbalances will promote creation of the mechanism of their regulation.


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.


TEM Journal ◽  
2020 ◽  
pp. 1550-1561
Author(s):  
Anatoliy Mokiy ◽  
Olha Ilyash ◽  
Yuriy Pynda ◽  
Mariia Pikh ◽  
Vitalii Tyurin

The proposed modelling of the construction sector and its impact on the economic system of Ukraine based on fuzzy logic methods allowed to optimize the value of industry components due to changes in gross regional product. High adaptability of the used models confirms probability to make a choice of the best strategy of development of the state taking into account the construction potential in particular regions in Ukraine. The scientific value of the research lies in the use of dynamic models of the system to study the relationships of the elements of the micro and mezolevel subsystems. The forecast models reflect the value of the state regulatory policy in developing strategic priorities for economic growth.


2021 ◽  
Vol 296 ◽  
pp. 06017
Author(s):  
Galina P. Litvintseva ◽  
Ilya N. Karelin

Digital transformation of society which influenced all spheres of people’s life can promote sustainability of economy, especially on the growth stage of its lifecycle. The research characterizes sustainability of economy as sustainability of economic growth in regions of Russia, which is estimated by variation ratio of growth rates of physical volume of gross regional product in 85 regions during 2011–2019. Positive connection between regional subindices of people’s quality of life and the ESG ranking of Russian regions is revealed. It was discovered that increase of people’s digital wealth positively influenced on sustainability of growth rates of gross regional product during 2015–2018. The risk of unemployment rate increase which is frequently mentioned in publications was not confirmed, namely the share of unemployed with higher education and without it as a part of relevant labor force negatively correlates with digital indices. Digitalization of social sphere and services positively influence on divorcement rate and tumor illness frequency while its decrease could result in growth of economic crimes share. However people’s digital wealth could influence on decrease of share of government and municipal servicemen in regions labor force. It is advisable to count these ambiguous processes when perfecting national and regional development programs.


2021 ◽  
Vol 258 ◽  
pp. 06016
Author(s):  
Daria Benz

The article focuses on issues of economic growth, and eco-efficiency in Russian industrial regions on the example of the Urals Federal District. The study is based on the concept of existing tensions between economic development, and eco-efficiency. The author claims that within this concept an optimum could be found. The purpose of the study is to determine the most optimal industrial growth rate within the Urals Federal District. Industrial production representing 50% of the sectoral gross value added structure is the key factor of economic growth in the researched regions. This basic hypothesis of the study is confirmed by a relatively strong correlation between industrial growth rate and Gross Regional Product growth rate in Sverdlovsk region, Tyumen region, and Chelyabinsk region. As part of the study the author made use of correlation analysis, which confirmed the basic hypothesis of the research, and paired regression analysis, where industrial production growth rate is used as a regressor to build paired regression models. Economic growth is estimated via Gross Regional Product growth rate. For every sector, where the basic hypothesis is confirmed, there is a graphical model illustrating dependence of economic growth (E1), and eco-efficiency (E2) on industrial growth rate. The study discovers optimal industrial growth rate providing development of eco-efficiency in the researched regions. The results of the study can be applied both by scientists or government structures in strategies of regional development taking into account eco-efficiency.


2019 ◽  
Vol 2 (3) ◽  
pp. 513-527
Author(s):  
Bengi Akbulut

Critical perspectives on economic growth have laid bare the fragility of the assumed link between material growth and socio-ecological wellbeing. The appeal of economic growth, however, goes beyond the economic sphere. As a societal goal, growth is often mobilized to pre-empt and/or co-opt opposition around issues of social justice and redistribution. Not only does the constitution of growth as a collective goal serve to unite the internally fragmented sphere of the social and brush aside (class-based) distributional conflicts, but it also enables the distribution of material concessions to subordinate classes for eliciting their consent. The degrowth proposal should thus more broadly tackle the material and discoursive ways in which growth enables the reproduction of contemporary political-economic systems. This paper argues that the notion of growth functions as a powerful ideal that shapes state–society relationships and social-collective imaginations. It demonstrates this by discussing the making of state in Turkey through a Gramscian perspective, where the notion of economic growth is deeply imprinted in the broader practices of the state to legitimize its existence and dominates the social imaginary in a way that cannot be easily dismissed. Against this backdrop, the possibility of not only effectuating, but also imagining and desiring degrowth would call for a radical reconfiguration of state–society relationships. Within this context, the Kurdish Freedom Movement’s project of Democratic Economy emerges as an alternative, both to the nation-state paradigm and to the imperative of economic growth.


2019 ◽  
Vol 8 (5) ◽  
Author(s):  
Rezeda M. Kundakchyan ◽  
Tina M. Vakhitova ◽  
Landysh A. Gadelshina ◽  
Liliya F. Garifova ◽  
Liliya F. Zulfakarova

The problem of economic growth has always been central to the discussions not only of professional economists, but also of politicians and public figures. This issue is of particular urgency for Russia in the period of geopolitical turbulence, which is strengthened by the tendencies of protectionism in international trade. In addition, there is a different dynamics of economic growth, its quality, both in the sectoral and regional sections. In this regard, the analysis of the influence of the main factors contributing to economic growth, qualitative change in the structure of gross domestic product (GDP), gross regional product (GRP), has a significant applied value. Priorities of innovative quality of growth that require large-scale investments are stated in Strategy-2020 and in “Strategy of Social and Economic Development of the Republic of Tatarstan until 2030”.Without assessing the role of the investment resource, it is impossible to determine the strategies for the country's social and economic development, to develop and implement general state, sectoral and regional programs. One approach that makes it possible to quantify the degree of influence of such key factors of economic growth as investments and incomes of the population, including the average monthly wage, is based on the use of econometric models and economic interpretation of the coefficients of the models obtained


Author(s):  
Lidiia Savchenko ◽  
◽  
Myroslava Semeryagina ◽  
Iryna Shevchenko

A transport system can be defined as a complex system characterized by a random value of transport demand, variable weather and climatic factors, a set of characteristics of transport infrastructure, and a complex system of interconnections. One of the key modes of transport providing freight transport both in domestic and international traffic is road. Its mobility and the ability to deliver cargo from door to door is a unique competitive advantage over other modes of transport. To create an effective logistics infrastructure that meets the demand for domestic freight transport, first of all, information is needed on the needs for transport between regions of the country. Thus, it is necessary to look for mathematical approaches to modeling freight flows, combining their practical implementation using widely used software products (for example, MS Excel). The purpose of the paper is to build effective multifactor regression models of demand for input and output transportation of goods by road for each region of Ukraine according to publicly available statistical data of the State Statistics Service of Ukraine. The modern approach to modeling cargo flows requires fast processing of a large amount of statistical data. In addition, the method should be as universal as possible and capable of quick and simple changes under conditions of a change in statistical data. From this point of view, the most acceptable option can be considered to be the modeling of freight traffic using regression models based on correlation and regression analysis. In general, the task is to find the dependence of the demand for transportation on the factors that influence it. Such factors in the existing models are connected with various macroeconomic indicators, as well as the distance of delivery. The data of regional statistics of the State Statistics Service of Ukraine and data of the “Lardi-Trans” website as the most widely used by freight carriers and shippers were taken as the initial data for modeling. A list of factors has been found that significantly influence the demand for freight transport by road between regions of Ukraine. A rating of influencing factors has been compiled, among which are the gross regional product, regional volumes of foreign trade in goods (imports) and gross regional product per one inhabitant of the region. The absolute values of the correlation coefficients are in the range 0.351-0.974. The lowest correlation coefficient is between the transportation distance and the demand for delivery, which proves a negligible relationship between the volume of regional transportation and the distance of delivery. Multivariate regression models with thirteen, five and two factors of influence on demand are built. Accuracy parameter values are acceptable for all model variants. The normalized R-squared of the obtained models does not fall below 84%, and the average approximation error does not rise above 1.6%, which is an excellent performance of the models.


Author(s):  
L. N. Orlova ◽  
V. V. Kuznetsov

The current technological development provides a foundation for fast growth of well-being in industrialized countries and at the same time causes global economic misbalance. Growing production and consumption lead to wasteful use of resources and increasing contamination of air, water and soil. In order to meet basic needs we cause damage to the environment. The article investigates the issues of strategic survival of society in conditions of natural resources deficit. The concept of sustainable development adopted and accepted in the whole world is, unfortunately just a concept in many spheres and it requires development and introduction of economic mechanisms of rational use of resources of all types. The continuously increasing speed of changes has become a principle factor of economic growth. But the economic approach is a pivot of the concept of sustainable development. The authors proved that only observance of balance between economic, social and ecological interests of business entities and their harmonization at the expense of innovation, which were used in economic, social and ecological life of society, could result in sustainable development of economic systems.


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