| Issue |
E3S Web Conf.
Volume 21, 2017
IInd International Innovative Mining Symposium (Devoted to Russian Federation Year of Environment)
|
|
|---|---|---|
| Article Number | 04005 | |
| Number of page(s) | 8 | |
| Section | Mining Regions’ Sustainable Development | |
| DOI | https://doi.org/10.1051/e3sconf/20172104005 | |
| Published online | 10 November 2017 | |
The Regional-Matrix Approach to the Training of Highly Qualified Personnel for the Sustainable Development of the Mining Region
1 T.F. Gorbachev Kuzbass State Technical University, 650000, 28 Vesennyaya St., Kemerovo, Russia
2 National Research Tomsk State University, 634050 36 Lenina st., Tomsk, Russia
* Corresponding author: zhee.eti@kuzstu.ru
The state, regional and industry approaches to the problem of personnel training for building an innovative knowledge economy at all levels that ensures sustainable development of the region are analyzed in the article using the cases of the Kemerovo region and the coal industry. A new regional-matrix approach to the training of highly qualified personnel is proposed, which allows to link the training systems with the regional economic matrix “natural resources - cognitive resources” developed by the author. A special feature of the new approach is the consideration of objective conditions and contradictions of regional systems of personnel training, which have formed as part of economic systems of regions differ-entiated in the matrix. The methodology of the research is based on the statement about the interconnectivity of general and local knowledge, from which the understanding of the need for a combination of regional, indus-try and state approaches to personnel training is derived. A new form of representing such a combination is the proposed approach, which is based on matrix analysis. The results of the research can be implemented in the practice of modernization of professional education of workers in the coal industry of the natural resources extractive region.
© The Authors, published by EDP Sciences, 2017
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. (http://creativecommons.org/licenses/by/4.0/).
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