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Article
Author(s)
Oleg Sukharev
Full-Text PDF XML 554 Views
DOI:10.17265/1537-1514/2021.02.002
Affiliation(s)
Russian Academy of Sciences, Moscow, Russia
ABSTRACT
The current economic crisis
has become a force majeure circumstance in the development of the world system
and has shown a completely new source-generator of crisis dynamics—self-restraints
affecting the characteristics of the demand of macroeconomic dynamics. This
raises the problem of not only eliminating the crisis, but also entering a new
growth trajectory. The research is devoted to the analysis of the Russian
economy structural dynamics with the identification of its characteristics, the
main determinants in order to make a conclusion about the influence of economic
structure elements on economic growth, which leaves the main goal. And also,
the purpose of the study was to assess the “COVID crisis” and the parameters of
the pre-crisis dynamics, which reflected the troubles in maintaining economic
growth in Russia. The research methodology is based on the use of structural
analysis, which identifies the components of GDP by expenditure, income, and sectors,
determining their contribution to economic growth. Thus, it is possible to
identify the model of the of economic growth structure. The impact of the
sectoral structure on economic dynamics is assessed for three sectors—manufacturing, raw
materials and transaction and separately for two sectors—transactional and
non-transactional. The research results in identifying the picture of the
Russian economy structural dynamics. The main conclusion is that the formation
of a new model of economic growth in Russia is possible only through structural
changes and appropriate structural policies that ensure the movement of
resources between sectors, in particular, manufacturing, raw materials and
transaction. In addition, based on panel data on the Russian economy,
econometric models are constructed that show the relationship between the level
of inequality, poverty, and gross domestic product, confirming the need for
economic policies aimed not only at applying targeted assistance to the
population in reducing poverty, but also reducing inequality as a measure that
stimulates economic growth. Thus, the study solves the problem of measuring the
structure of growth with the identification of the contribution of this
structure to the growth rate, which provides long-term data on the possibility
of maintaining economic dynamics at a particular rate.
KEYWORDS
economic sectors, Gini coefficient, gross domestic product, financial and non-financial investments, inequality, poverty, regression models
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