SHS Web Conf.
Volume 141, 2022IV International Scientific and Practical Conference “Modern Management Trends and Digital Economy: from Regional Development to Global Economic Growth” (MTDE 2022)
|Number of page(s)||10|
|Section||Digital Technologies in the Management of Socio-Economic Systems|
|Published online||24 June 2022|
New landmarks for the digital economy: on the relationship between economic complexity and material well-being
Central Economics and Mathematics Institute of the Russian Academy of Sciences, Moscow, Russia
* Corresponding author: firstname.lastname@example.org
The results are obtained that develop the instrumental basis of the digital economy and the methodology for choosing priority areas of diversification. Estimates of the economic complexity of 80 Russian regions and 82 sectors of the economy were obtained. It is shown that regions with developed sectors of the extractive industry have relatively low estimates of economic complexity. According to the data of 2019, the regions are divided into two groups with high and low estimates of economic complexity. For each group, a significant relationship between estimates of the economic complexity of the regions and indicators of per capita income was revealed. The increment of the average per capita income as a result of the increase in the economic complexity of the region is estimated. Information about the impact of economic complexity on well-being is one of the possible forms of digital support for strategic decision-making. It can be used to set priorities in the implementation of regional development projects aimed at increasing the number of jobs in the region and increasing material well-being.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.