E3S Web Conf.
Volume 110, 2019International Science Conference SPbWOSCE-2018 “Business Technologies for Sustainable Urban Development”
|Number of page(s)||11|
|Section||Environmental Management and Economics|
|Published online||09 August 2019|
Decomposition of industry structural shifts and reconstruction research based on share analysis
Southwest State University, 94, 50 Let Oktyabrya str., 305004 Kursk, Russia
* Corresponding author: firstname.lastname@example.org
The current stage of economic development is characterized by the need to adjust the structural proportions of the development of individual industries. Particular attention should be paid to priority sectors, in particular, industries in the manufacturing sector, the ones changing the development trajectory from the raw material concept to the innovation model. The research also highlighted high-income and low-income activities, as well as the industry differentiation in terms of the level of concentration and labour resources, the dynamics of changes in structural proportions was investigated. The goal of the article is to decompose structural changes in sectors of the economy in certain regions of the Russian Federation by elements of employment, output and residual component. On the basis of a modified structural share analysis, decomposition of the structural elements of economic development was carried out on the basis of an analysis of structural proportions. As a result, the authors determined the relationship between economic growth and structural shifts for individual components. Approbation of the research conducted on the example of the regions of the Russian Federation. The calculation of shifts in the industry due to changes in the share of employment by type of activity and due to changes in the structure of output has been carried out. A mapping of changes in the structural proportions of the regional economy was also carried out, and changes in the structural proportions in individual sectors of the industrial and non-industrial sectors were analyzed on the basis of selected components.
© The Authors, published by EDP Sciences, 2019
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.