E3S Web Conf.
Volume 105, 2019IVth International Innovative Mining Symposium
|Number of page(s)||5|
|Section||Innovations in Mining Machinery|
|Published online||21 June 2019|
Automated Toolkit for Encouraging a Producer to Use Innovative Technologies in Environmentally Oriented Economic Development of Mining Regions
Kemerovo Institute (branch) of Plekhanov Russian University of Economics, Kemerovo, Russia
2 T.F. Gorbachev Kuzbass State Technical University, Kemerovo, Russia
3 University of Applied Sciences Upper Austria, Hagenberg, Austria Softwarepark 11, 4232
4 University of Eastern Finland, Department of Environmental and Biological Sciences, 70700 Kuopio
The automated toolkit for assessing environmental and investment attractiveness of a mining region and the results of its application are discussed in the article. This toolkit includes the optimization mathematical model, the algorithms for the interaction between a regional control center and a producer within the territory, as well as the automated software package for their analysis. The use of the optimization mathematical model makes it possible to take into account the maximum economic potential of a producer, which determines, respectively, a mining region’s environment pollution potential. Accounting for environmental risks will allow the control center or other decision makers to identify not only the optimal pattern of eco-economic interaction in the region, but also reflect changes in the environmental and investment climate as a combination of economic potential and involved risks. The model and the algorithms of interaction between a regional control center and a producer, as well as the results of their numerical analysis given in this paper, allow considering this toolkit as an effective decision support tool aimed at improving environmental and investment attractiveness of a mining region by encouraging a producer to use the best available technologies and conserve the natural environment.
© 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 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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