Correlation Between Income Level and Processes of Digitalization in Russian Federation

DOI

10.2991/aebmr.k.200730.109How to use a DOI?

Keywords

labor resources, human resources, income, subsistence level

Abstract

The article studies the indicators of income, in particular, the value of the subsistence minimum and the proportion of the population with incomes below this value. Attention is paid to the analysis of the population with incomes below average regional income. The regions with the largest share of the population with incomes below the subsistence minimum are identified. The author analyzes distribution of the population by the size of the ratio of income and the subsistence minimum in the different regions of the Russian Federation. In the article discusses the main factors of the low level of income and dynamics of the population of the Russian Federation with monetary incomes below the subsistence minimum. The substantiation of the important role of the level of differentiation of people’s income for the processes of economical development and digitalization in the economy of the Russian Federation is given. The author concludes that low level of income is one of the factors of deterring of modern economy, because existing situation gives no stimulus for investing in the sphere of modern industrial sector and using of digital technologies in different sectors of economy especially in the regions of the country. The conclusion is made about the necessity of modernization of economy in order to increases the productivity of labor force in the regions of the country.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - A.S. Shevyakin
PY  - 2020
DA  - 2020/08/01
TI  - Correlation Between Income Level and Processes of Digitalization in Russian Federation
BT  - Proceedings of the Russian Conference on Digital Economy and Knowledge Management (RuDEcK 2020)
PB  - Atlantis Press
SP  - 596
EP  - 600
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.200730.109
DO  - 10.2991/aebmr.k.200730.109
ID  - Shevyakin2020
ER  -