E3S Web Conf.
Volume 315, 2021VIth International Innovative Mining Symposium
|Number of page(s)||5|
|Section||Mining Regions’ Sustainable Development|
|Published online||28 October 2021|
Coal cluster as a structural factor in the development of Kuzbass
1 Institute of Economics and Industrial Engineering of the Siberian Branch of the Russian Academy of Sciences, 630090 Novosibirsk, 17 Acad. Lavrentyev Av., Russian Federation
2 T.F. Gorbachev Kuzbass State Technical University, 650000 Kemerovo, 28 Vesennyaya st., Russian Federation
3 Kemerovo State University, 650000 Kemerovo, 6 Krasnaya st., Russian Federation
* Corresponding author: email@example.com
The article contains the results of the analysis of dynamics and structural transformations of employment and production of gross value added (GVA), carried out by the authors on the material of Kuzbass. The study was carried out using the shift-share analysis for 2007–2018. We can state that the employment dynamics, which was negative during this period, was determined primarily by regional factors. The dynamics of GVA was influenced by national (positive) and regional (negative) factors. The contribution of structural shifts to the growth of GVA over the past decade was negative and insignificant, and the decline in the number of employed occurred with a scarcely changed employment pattern. The coal cluster remains the core of the Kuzbass economy and retains the status of its most efficient sector – there are no obvious candidates for the role of a new leader. Meanwhile, the high dependence of the coal industry on external macroeconomic conditions, fluctuations in world markets, makes the strategic outlook of the entire region's economy vulnerable and unstable. Therefore, it is important to find and implement such model of the socio-economic transformation of Kuzbass, which will help protect and ensure the stability of the region for decades to come.
© The Authors, published by EDP Sciences, 2021
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.