Methodological Bases of Advanced Geo-ecological Problems Resolving in Neo-industrial Clusters
Maxim Tyulenev, Yury Lesin, Svetlana Vik, Sergey Zhironkin
Available Online October 2016.
- https://doi.org/10.2991/coal-16.2016.63How to use a DOI?
- Geo-ecology; industrial clusters; Kuzbass; neo-industrialization; economic instruments; social well-being
- The importance of geo-ecological studies is confirmed by an insufficient readiness of methodological approaches and conceptual bases of research of geo-ecological factors of innovative development of industrial clusters at the market transformation stage of the Russian economy, the analysis of regularities, factors and mechanisms of state regulation of "ex-ternal effects" of economic growth. Along with it, the impossibil-ity of direct borrowing of ready forms and institutes of govern-ment regulation of geo-ecological factors of innovative develop-ment in industrial clusters used abroad increases the importance of carrying out similar researches in Russia. So, technological and economic potential of Kuzbass – the most agglomerated industrial cluster of Western Siberia, Russia - should be used for investment in researching of transition to green economy and environment-saving mining, metallurgy and organic chemistry. The most perspective way of initiating geo-ecological develop-ment of industrial clusters is its neo-industrialization. It means modernization of raw-material industries on the new technologi-cal bases.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Maxim Tyulenev AU - Yury Lesin AU - Svetlana Vik AU - Sergey Zhironkin PY - 2016/10 DA - 2016/10 TI - Methodological Bases of Advanced Geo-ecological Problems Resolving in Neo-industrial Clusters BT - Proceedings of the 8th Russian-Chinese Symposium “Coal in the 21st Century: Mining, Processing, Safety" PB - Atlantis Press SP - 332 EP - 335 SN - 2352-5401 UR - https://doi.org/10.2991/coal-16.2016.63 DO - https://doi.org/10.2991/coal-16.2016.63 ID - Tyulenev2016/10 ER -