scholarly journals GREEN FINANCING AS A CONDITION FOR SUSTAINABLE ECONOMIC GROWTH

2020 ◽  
Vol 8 (5) ◽  
pp. 01-11
Author(s):  
Nadezhda Semenova ◽  
Olga Eremina ◽  
Marina Skvortsova

Purpose of the study: The purpose of the study is to assess the current state of green financing in the Russian Federation and the extent of its impact on economic growth in the country. Methodology: The main research methods utilized were the regression and cluster analysis and principal component analysis (PCA). Cluster analysis implies dividing the set of studied objects and features into groups or clusters that are homogeneous in some way. We used it to determine regional differentiation of subjects from the Russian Federation according to the level of green financing. The clustering of subjects was performed using the ward method. This method is aimed at combining closely located clusters. Regression analysis was used to build an econometric model for assessing the degree of influence of green Finance on economic growth. Main Findings: The authors proved that stimulating green financing in Russia requires the following: creating a regulatory framework and roadmap for the development of green financing, active state participation in financing green projects, creating a “green bond market,” and a specialized banking institution. Application of the study: In this article, the authors assessed the impact of green financing on Russia’s economic growth. As part of the study, the authors analyzed the dynamics of green financing in the Russian Federation from 2000–2018, developed an integrated indicator for sustainable economic growth based on three components of sustainable development (economic, social, and environmental), and estimated the impact of environmental investments on the integral indicator of sustainable economic growth. Novelty/Originality of the study: The proposed methodology for calculating the integrated indicator of sustainable economic development allowed us to assess sustainable development, taking into account economic, social, and environmental indicators. Such an approach has several advantages over the current methods: it is universal, indicators are available, and calculations are clear.

2021 ◽  
Vol 2 (3) ◽  
pp. 75-82
Author(s):  
O. R. TEGETAEVA ◽  
◽  
L. V. BASIEVA ◽  
A. A. BALIKOEVA ◽  
◽  
...  

The article highlights theoretical approaches to defining the concepts of budgetary provision of the budgets of the constituent entities of the Russian Federation. In this regard, an analysis of changes in the levels of subsidization of regional budgets is carried out, taking into account changes in the methods of distributing subsidies to regions, an assessment is made of the impact of changes in the management of public financial resources on the economic growth of regions.


Author(s):  
Marat Rashitovich Safiullin ◽  
Azat Rafikovich Sharapov ◽  
Leonid Alekseevich Elshin

Prospects for the development of national economy in the context of integration of blockchain technologies into the system of economic processes testify necessitate elaboration of the methods and algorithms for formalized assessment of their impact upon the key parameters of socioeconomic dynamics. If within scientific-and-expert space, one may occasionally come across the works dedicated to separate aspects of this scientific methodological problem, the questions of the impact of blockchain technologies upon individual economic sectors are yet to be explored within the information-analytical and scientific space. The methods of empirical research of the impact of blockchain technologies upon the parameters of economic development currently did not find their consolidated solution, and are of fragmentary nature. This research is an attempt to strengthen the positions of formalized approaches towards examination of the articulated scientific and practical problem. The subject of this research is the economic relations of economic agents pertaining to implementation of blockchain technologies in the economic activity and formation of the new business models. The object is the types of economic activity of the national economy of the Russian Federation and their sensitivity to the diffusion of blockchain technologies. The article offers an algorithm for studying the dynamics of gross value added of the economic sectors of the Russian Federation through the prism of possible transformation of the key parameters of functionality of the financial and real sectors of the economy as a result of diffusion of blockchain technologies. Leaning on the advanced hypotheses, the author builds co-integration models for the indicated types of economic activity, which reveal the contribution of exogenous factors that are being adjusted under the pressure of infiltration of the distributed data storage technologies into the economic environment to the degree of incremental value added. This allows conducting cluster analysis of the economic sectors under review in accordance of their sensitivity to institutional changes caused by integration of the blockchain technologies into the economic environment.


2021 ◽  
Vol 4 (4) ◽  
pp. 19-26
Author(s):  
M. O. PASHIGOREV ◽  

The article examines the validity of investment decisions based on the study of the analysis and assess-ment of the significance of the impact of ESG factors on the sustainable development of companies. It also examines the effectiveness of the investment decisions made based on the assessment and analysis of indi-cators of reports on sustainable development of economic entities of the Russian Federation.


2019 ◽  
Vol 105 ◽  
pp. 04020
Author(s):  
Irina Kudryashova ◽  
Kirill Korsakov

The article is devoted to solving the problem of environmental pollution, which is one of the main negative factors of economic development in the coal-mining regions of the Russian Federation. The study of theoretical and practical approaches to the formation and implementation of the mechanism of greening at the level of subjects of the Russian Federation and their municipalities, the comparison of the definitions of “greening of the economy” and “greening of the regional economy”, “greening of production (enterprise)” in a multi-level context, taking into account the differentiation of the scale and instruments of environmental policy. A multi-level and multi-criteria approach to the study of the process of greening, the formation of ecological and economic mechanism of functioning of coal-mining regions, taking into account the processes of localization and globalization. It is proved that greening is the most important factor in ensuring the transition to sustainable development of coal-mining regions, and economic growth involves an inextricable combination of economic and environmental management.


Author(s):  
Elena Petrova ◽  
Petr Bondarenko ◽  
Alla Shipileva

In this work, the authors propose a methodological approach to study the impact of using NBICtechnologies on the economic growth of the regions of the Russian Federation. The authors show that among NBIC-technologies they are ICT that have the greatest impact on economic growth. The assessment tools are integrated empirical analysis methods. At the first stage, a cluster analysis was carried out using the k-means method according to the per-capita GRP, the level of population income and the level of ICT use, under which three groups of Russian regions were distinguished, characterized by low, medium and high dynamics of economic growth. At the second stage, a canonical correlation analysis was carried out and analytical expressions of the interconnections of economic growth indicators and a set of indicators characterizing the development and use of ICT in the regions of the Russian Federation were obtained. The study proves the relationship between ICT and economic growth in the regions of the Russian Federation. The greatest influence is exerted by indicators such as the number of mobile cell phones and broadband Internet subscribers. The canonical correlation analysis for the selected groups of regions did not give positive results, the results for the first cluster, which is characterized by low dynamics of economic growth, turned out to be statistically significant. Most likely, this is due to the fact that in this group using ICT gives the greatest effect. However, the substantiation of this hypothesis requires the expansion of the statistical base of the study, both in time and in terms of expanding the composition of indicators that reflect not only economic, but also social aspects of the processes under study.


2021 ◽  
Vol 16 (4) ◽  
pp. 80-97
Author(s):  
Andrei Sakharov ◽  

The purpose of this article is to check Russia’s strategic planning system and anti-crisis measures against the United Nations 2030 Agenda for Sustainable Development by monitoring the documents for policy objectives directly or indirectly corresponding to the targets of the sustainable development goals (SDG); comparing the indicators present in the Russian documents with those in the 2030 Agenda; assessing the impact of anti-crisis measures on the sustainable development outlook in the country; and tracing the changes present in the latest socio-economic development initiatives of the Russian government. The scope of the study in terms of the number of documents analyzed was determined in accordance with the provisions of Article 11 of the Federal Law No. 172-FZ On Strategic Planning in the Russian Federation, and includes a vast array of federal strategies, sectoral strategic planning documents, national and federal projects, state programmes, the 2020 Presidential Decree No. 474 On the National Development Goals of the Russian Federation for the Period Until 2030 and its auxiliary documents, as well as other ad hoc anti-crisis planning instruments, such as the 2020 Nationwide Action Plan. The results of the analysis make it possible to trace the paradigm shift in Russia’s decision-making toward incorporating more elements of the sustainability discourse characteristic of the 2030 Agenda and other multilateral arrangements, particularly in regard to climate change and environment, taking place in 2020–21.


The paper discusses the impact of the competition level on the sustainable development of a regional market in order to manage competitive and industrial policies. The authors proposed to calculate the impact of the competition level on the economic affordability of food products to the population according to the Herfindahl-Hirschman index. For this purpose, the paper determines the correlation coefficients between the Herfindahl-Hirschman index and indicators affecting the economic availability of milk for the population of the Russian Federation. According to the data for 2010-2016, the market of milk and dairy products of the region of the Russian Federation (by the example of the Republic of Tatarstan) was analyzed. On the basis of the approach proposed, a regression model was obtained depending on the level of competition on the share of population expenditures on milk and dairy products. The proposed tool can be applied in any territory, what determines its universality.


Author(s):  
Zolotareva Olga

This article presents the results of a cluster analysis of the regions of the Russian Federation in terms of the main parameters of socio-economic. The major objective of the article is to develop a method for the division of the Russian regions into clusters in order to improve the quality of the policymaking process. The authors studied and analyzed the domestic and foreign (Eurostat) methodology for assessing the socio-economic development of territories. The major results of the study are the determination of the main parameters of territorial differentiation and identification of the key indicators that affect the socio-economic development of Russian regions. The authors have carried out a classification of the constituent entities of the Russian Federation not in terms of territorial location and geographical features, but in terms of the specifics and key parameters of the socio-economic situation into 4 clusters. The results of the cluster analysis allow specifying specific areas, where state control and interference is needed in order to ease the economic and social inequity in Russia and cease social unrest.


2019 ◽  
Vol 13 (2) ◽  
pp. 97-110
Author(s):  
R. V. Fattakhov ◽  
M. M. Nizamutdinov ◽  
V. V. Oreshnikov

Introduction. The regions of Russia are not only heterogeneous in terms of the current state but also differ in the prevailing trends in the key parameters of their future development. Some of them, possessing significant economic potential, risk losing stability due to ongoing social processes and vice versa. The purpose of the study is to assess the sustainable development of the Russian Federation regions, to identify typical regions, including implementation of the main priority of the Spatial Development Strategy of Russia until 2025 — to uncover the socio-economic potential of the territories and their sustainable development through economic specialisation regions.Methods. In the framework of solving the problem of choosing typical regions of Russia according to the level of sustainability of socio-economic development, we formed a database of indicators for the period from 2010 to 2016. The 8th indicators describe the financial and economic component of development, the social component — by the 14th indicators, the environmental one — by the 3rd indicators. The ranking of regions was carried out in three stages — the consideration of particular indicators, their unification into groups and the study of generalised values. For the identification of typical regions, we applied the clustering method.Results. Approbation of the approach showed that the high position of the region in one of the considered areas of analysis does not always correlate with the level in other indicators. The magnitude of the dispersion in general increases with the transition from the leading regions to the outside regions. Cluster analysis revealed four groups of regions. The first cluster is characterised by the predominance of the economic component. The second cluster is characterised by the absence of a significant imbalance between the directions. The third cluster is characterised by better dynamics of financial and economic indicators against the background of relatively good positions in the social and environmental spheres. The fourth cluster is represented by subjects of the Russian Federation, in which there are significant results in the field of improving the environmental component. Based on the cluster analysis, typical regions were selected — the Republic of Ingushetia, the Samara Region, the Republic of Tatarstan and the Vladimir Region, respectively.Discussion. The obtained results can be applied when making a forecast of the socio-economic development of the regions of the Russian Federation and indicators of their sustainability in the medium term.


2015 ◽  
Vol 4 (1) ◽  
pp. 32-36
Author(s):  
Макиева ◽  
E. Makieva

This article deals with interrelations of concepts of sustainable development, green economy, and economic growth. The author provides a description of the most important features inherent in green economy, assesses opportunities for investments into clean technologies and the natural infrastructure of the Russian Federation, reveals a need for transformation of the global economy, stimulation of its greening.


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