scholarly journals Economic growth vs. eco-efficiency of Russian industrial regions

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.

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.


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.


2016 ◽  
Vol 4 (6) ◽  
pp. 63-67 ◽  
Author(s):  
Левкина ◽  
Nataliya Levkina

The article presents the results of the analysis of technological modes` productivity in the economy of the Urals Federal District. The use of evaluation of contribution to per capita GDP industrial (relict and fourth) technological modes and specified data on the gross regional product has allowed to establish that the spread of new postindustrial technological modes in the economy of different regions of the Urals Federal District is uneven. In Kurgan region the postindustrial technological modes are not widespread. The contribution of new modes in per capita GRP in Chelyabinsk region in 2014 reached 115865,55 rubles (29.99% of per capita GRP), in Sverdlovsk region — 251945,45 rubles (48,21% of per capita GRP), in Tyumen region as a whole — 1705575,89 rubles (86,31% of per capita GRP), in Tyumen region except for Khanty-Mansi and Yamal-Nenets Autonomous Areas — 439298,25 rubles (61,88% of per capita GRP). The contribution of new modes in per capita GRP in Khanty-Mansi Autonomous Area in 2014 reached 2124572,44 rubles (88,70% of per capita GRP), in Yamal-Nenets Autonomous Area — 3789418,62 rubles (93,09% of per capita GRP). The system of new technological modes uses 3-19% of the resources of the Urals Federal District`s regions.


2020 ◽  
Vol 19 (2) ◽  
pp. 325-340
Author(s):  
S.A. Samusenko ◽  
G.I. Popod'ko ◽  
T.S. Zimnyakova

Subject. This article discusses the causes of weak economic growth of resource regions and institutional and infrastructural constraints hampering their advancement. Objectives. The article aims to test the hypothesis of a resource trap for Russia's commodity regions. Methods. The results of survey of the heads of enterprises of the Krasnoyarsk Krai are the basis data for consideration. To organize the data, we used mathematical techniques. Results. The study shows that there is an inverse negative relationship between the growth rate and the share of primary industries in the gross regional product of Russia's commodity regions. Conclusions. The main obstacles hindering economic growth are concentrated in the field of network interaction of the participants of the innovation process. The results of the study can be used to improve the policy of innovative development of commodity regions.


2020 ◽  
Vol 17 (6) ◽  
pp. 43-53
Author(s):  
S. N. Medvedeva ◽  
V. P. Pavlyuk

Purpose of research. Tourism is the most important object in the system of modern economic relations. Its main goal is to create an environment conducive to meeting the needs of tourists, which ensure a steady flow of funds. In turn, the economic subsystem solves the problem of creating a competitive tourism industry – the most important determinant of economic growth. Therefore, the study of the competitiveness of the tourism industry market in ensuring sustainable economic growth of the state and increasing the well-being of the population is an extremely relevant direction in a market economy.At the moment, many international, domestic methods are used to assess the level of competitiveness (competitive opportunities). Methodological support for a comprehensive assessment of the competitiveness of tourism industry enterprises based on economic and mathematical models requires further development. An algorithm for assessing regional competitiveness is given on the example of building an econometric model, and testing it for its practical significance.The purpose of our study is to identify the factors affecting the increase in the level of competitiveness of the tourism potential of the Sevastopol region to ensure a sustainable influx of tourists.Materials and methods. The study of the level of increasing competitiveness based on the use of economic and mathematical modeling in the regional aspect is carried out. The «Gretl» software package was used as a statistical tool for the study. The study of the level of competitiveness in the field of the tourism industry in the Sevastopol region is carried out on the basis of a sample of 50 enterprises of the tourism industry, determined by the rating of the volume of gross revenues received per year. To model the share of the gross value added of the tourism industry in the gross regional product at the regional level, we considered the annual financial and economic data of the activities of travel companies, as well as the macroeconomic indicators of the Sevastopol region from 2015-2019. The processing of economic and financial indicators characterizing the micro- and macroeconomics, identification and interpretation of the model is made using computer technologies, in particular the Gretl software package.Results. According to the results of the study, the nature of the relationship between the share of the gross value added of the tourism industry in the gross regional product and the consumer price index, the growth rate of retail turnover, the growth rate of public catering turnover, and the quantity of registered crimes was revealed. Economic and mathematical modeling was carried out using various approaches to constructing the equations of the general model by the least squares method, with fixed or random effects.Conclusion. The article discusses the modeling of competitive advantages in the tourism industry, which makes it possible to determine the significant parameters of independent variables, and it was also proposed that the model with fixed effects is the most adequate for predicting the tourism potential of the Sevastopol region.It should be noted that it is almost impossible to achieve an increase in competitiveness by chance. Therefore, a set of methods and techniques is needed that form an innovative competitiveness management system. The implementation of such a system is directly related to the analysis and assessment of the whole variety of conditions and factors for the functioning of the subjects of the tourism industry.


2020 ◽  
Vol 152 ◽  
pp. 112-123
Author(s):  
Oleg S. Sukharev ◽  

The purpose of the study is to determine the existing growth models of the countries of the Eurasian Union by GDP expenditures and sectors (manufacturing, transactional raw materials). The research methodology is a macroeconomic analysis of the dynamics of the main indicator of economic development — gross domestic product. The research method is a structural analysis that allows you to get a structural formula for calculating the contribution of each component of GDP to the growth rate, as well as a comparative analysis of the dynamics models of the countries in question — Armenia, Belarus, Kazakhstan, Kyrgyzstan, Russia. The result of the study is the obtained structural relationships that make it possible to measure the influence of the investment structure on the growth rate, the criteria describing economic growth with a corresponding change in the country's national wealth, as well as the identification of models of economic dynamics by the countries of the Eurasian Union. It is indicative that the transaction sector dominates in Kazakhstan and Russia, while in other countries a mixed model is found, or industrial growth as in Belarus. According to the components of GDP and expenditures of the country, either a mixed or a consumer model is found (Kyrgyzstan, Russia), however, the contribution of government spending to the growth rate is provided only in Kazakhstan. It was also revealed that the reaction to the crisis of 2009 and 2015 was fundamentally different for the countries of the Eurasian Union. The search for the factor conditions of such a prevailing dynamics, as well as the influence of union economic relations on the formation of a growth model in each country, requires an expansion of research and an analytical perspective


2021 ◽  
Vol 17 (1) ◽  
pp. 114-129
Author(s):  
Mikhail V. Ershov ◽  
Anna S. Tanasova ◽  
Elena Yu. Sokolova

World economy shows a high level of uncertainty. There are considerable risks of economic slowdown and stock market collapse. For many years, the Russian economy has been dependent on external factors. Recently, when anti-Russian sanctions are imposed, it is particularly important to find internal sources of growth, including domestic demand as the most significant factor. However, environment for the development of the Russian economy remains unfavourable due to high interest rates, volatile exchange rate, increasing tax rates, and ambiguous economic policy. Based on the analysis of regional statistics (including some regions of the Central Federal District), we confirmed the weak relationship between investments and gross regional product (GRP) revealed by other scientists. This may be the result of poor investment efficiency and its low multiplier effect. In this situation, the right choice of sectors with high multipliers and investment efficiency creates the potential for increasing domestic demand. Simultaneously, mechanisms for the expansion of resources ensuring regional economic growth play an important role. In this regard, we developed approaches aimed at the creation of conditions for the expansion of regional financial resources to support economic activity, domestic demand and economy in general, considering a social aspect of these processes. Some of the proposed mechanisms stimulate the participation of banks in financing economic processes, federal or regional bond issuance (the Bank of Russia would be the main buyer), etc. These proposals consider the experience of other countries in stimulating economic growth, including at the regional level. Financial regulators and relevant regional agencies can use the research results for developing economic policies.


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.


10.12737/5223 ◽  
2014 ◽  
Vol 2 (3) ◽  
pp. 15-21
Author(s):  
Басовская ◽  
Elena Basovskaya

The new technique designed to assess sustainability of economic development of regions is based on applying diagnostics of system sustainability failure. Degree of sustainability is assessed by dispersion of economic growth rates. Risks of instability in economic development dynamics is assessed by an index, reflecting relative variations in economic growth rates. The author examines economic development dynamics of Ural Federal District as a whole and also of Kurgan, Sverdlovsk, Tyumen and Chelyabinsk regions, based on data for the period of 2000–2012. As is found out, the said regions differ in terms of periods of sustainable and unstable development and degrees of economic growth instability. It is also found, that Tyumen and Sverdlovsk regions are more stable in term of economic development than Kurgan and Chelyabinsk regions. As for economic development of Ural Federal District as a whole, it is comparable in terms of sustainability with that of the national economy. As correlation analysis shows, indicators of unstable economic development affect substantially the level of investments in regional economy. Economic growth instability has an adverse effect on the level of investments in regional economy.


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