Determining and evaluating the level of socio-economic risks for Russia to respond to ‘Grand Challenges’

2021 ◽  
Vol 17 (3) ◽  
pp. 443-469
Author(s):  
Nataliya V. KUZNETSOVA ◽  
Ekaterina V. KOCHEVA ◽  
Nikolai A. MATEV

Subject. The modern economic development strongly depend on a powerful regulator, such as grand challenges, which have become a critical barrier, requirement, level that should be attained. Considering the grand challenges, the country set up goals and tasks for the coming period and adjusts operations of economic agents. Therefore, it is necessary to assess the gap between the absolute and current market potential with reference to qualitative and quantitative indicators. The study is called to assess whether Russia is prepared for the existing and arising grand challenges. We also determine risk mitigation methods and the probability of negative scenarios. Objectives. We determine and evaluate the level of socio-economic risks for Russia to respond to the grand challenges. We also pinpoint key directions for the Russian regions to continue their socio-economic development in order to promote their further economic growth. Methods. The study presents the economic-mathematical modeling of the nexus among factors that determine socio-economic risks of the GRP dynamics to find their mitigation methods. In the study, the logit-model with dummy variables that attribute the regions to certain clusters. Results. We analyzed and classified risks of the Russian regions by 10 integral indicators. The article shows homogeneous regional zones exposed to similar socio-economic development risks. We also carry out the multivariate classification of the Russian regions by the risks assessed. As the findings show, the Russian regions strongly differ by socio-economic risks. The article spotlights priorities of the socio-economic development of the constituent entities of the Russian Federation. Conclusions and Relevance. As their key development vector, the Russian regions need to overcome the technological gap, mitigate the S&T potential risk and a drop in the innovative activity of the economy.

2014 ◽  
pp. 86-105
Author(s):  
M. Shabanova

The author discusses the importance of studying socio-structural factors of socio-economic development through a broader application of the economic approach. The resources of status positions of economic agents are in the spotlight. A possible platform for interdisciplinary interactions is proposed which allows to increase the contribution of both economics and sociology in improving governance at all levels.


Author(s):  
N.N. Balashova ◽  
◽  
D.A. Korobeynikov ◽  
S.A. Popova ◽  
◽  
...  

Typologization of rural areas, taking into account differences in population density and level of socio-economic development, is necessary to identify “growth points” and strategic sustainability benchmarks. The method of integrated assessment of the level of socio-economic development of rural territories is proposed, according to which the grouping of Russian regions is carried out. Applying data on rural population density to the results of calculations allowed us to identify 12 typological groups, in the context of which unified recommendations on sustainable development of territories should be formed.


Author(s):  
O.V. Mamatelashvili ◽  
◽  
Ts.T Khisamova ◽  

The article presents a scientific consideration of the development of regulation of economic security in the field of land and property relations through the prism of lease relations in the use of covered areas. The main problems in the field of land relations are revealed, which can be addressed by scientific research, including on the further development of methods for calculating the rental rate, which should be an integral characteristic that includes various parameters. The authors concluded that the rent rate should be differentiated taking into account various characteristics reflecting the quality of land resources, their natural fertility, geographical location, the level of economic efficiency of the type of activity planned on a specific land plot. Taken together, the listed characteristics make up the investment attractiveness of land resources. The article defines the principles of economic policy on which the system of ensuring economic security in the field of land and property relations should be built, taking into account the specific features and the level of socio-economic development of the regions. It is noted that opportunities for a balanced and sustainable development of territories are determined not only by the available resource potential, competitive advantages in the level of development, but also by the presence of institutional mechanisms for enhancing business activity of business, including in the land and property sphere. Currently, the most common form of land transactions are transactions for the acquisition of rights to lease state and municipal land. This form of land use is a type of rental relationship in the national economy. The important role of harmonization and establishment of a balance of economic interests of public law entities as land owners and tenants as economic agents is noted. The mechanism for the formation of rent on the basis of the agreed interests of the subjects of rental relations is one of the main institutional tools for land management in the region, on which the efficiency and rationality of their use, sustainable socio-economic development of territories and the state as a whole depend. The key principle of the formation of land payments should be the principle of economic justification of its value.


Author(s):  
В.С. КУКСЕВИЧ

В статье проводится изучение сущности социально-экономического развития. На основе анализа проблем и ограничений экономики России и ее регионов, связанных с международными и экономическими санкциями, сформулированы приоритеты социально-экономического развития российских регионов.


2020 ◽  
Vol 17 (6) ◽  
pp. 31-43
Author(s):  
E. I. Dubravskaya

Purpose of the study. The possibilities for the implementation of national and regional strategic objectives depend on the compliance of the measures taken with the chosen development path. The set of measures includes managerial decisions in the field of labor market regulation and concerning the legalization of informal employment. To make managerial decisions on the regulation of the labor market at the regional level, an objective statistical assessment of the relationship between informal employment and indicators of socio-economic development is required.The information basis for the regulation of informal employment should be quantitatively assessed stable regularities of the relationship between the parameters of informal employment and the structural and dynamic characteristics of economic growth and development. To identify and evaluate these statistical patterns, based on data from the Federal State Statistics Service in a regional context, a system of statistical indicators has been developed and significant factors of informal employment and socio-economic development have been identified. Given the heterogeneity of the constituent entities of the Russian Federation in terms of the scale and structure of informal employment, the distribution of regions into homogeneous groups is required. The article describes the approaches to the classification of Russian regions, taking into account the level of socio-economic development and the structure of informal employment.Materials and methods. The article examines an approach to the distribution of regions into homogeneous groups using the methods of cluster analysis based on a group of indicators characterizing those employed in the informal sector, which is based on the assumption that the indicators of informal employment are causally related to indicators of socio-economic development.Results. Five groups of regions are obtained, homogeneous in terms of the structural characteristics of informal employment and generalized factors of socio-economic development. For the purposes of further interpretation, the selected groups are assessed and ranked relative to the average Russian level of socio-economic development: low level (8 regions), below average (26 regions), average (41 regions), above average (8 regions), high level (2 regions) ...Conclusion. The resulting classification of Russian regions is a transitional stage to the construction of an econometric model of the relationship between informal employment and indicators of socio-economic development. Further analysis will allow us to assess which indicators have the greatest multiplier effect on the regional economy and to obtain a quantitative assessment of this impact on its growth.


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