SHS Web Conf.
Volume 35, 20173rd International Conference on Industrial Engineering (ICIE-2017)
|Number of page(s)||7|
|Section||Sustainable Development of Industrial Enterprises|
|Published online||26 June 2017|
Assessment and analysis of energy infrastructural potential of Russian regions
1 South Ural state University, Chelyabinsk, Russia
2 «Gazenergosbyt», Chelyabinsk, Russia
* Corresponding author: email@example.com
The paper is devoted to the questions of assessment and analysis of the energyinfrastructural potential of Russian regions. The characteristics of energy infrastructure in a region play an important role in the evaluation of investment attractiveness of potential places for industrial investment. This paper describes the author's methodical approach to the assessment and analysis of the energy-infrastructural potential of the regions by plotting energy-infrastructural maps and by building a matrix of the regions. It allows distinguishing similar territorial entities based on the indicators of energy infrastructure with the aim of increasing the efficiency of the selection procedure for potential places for industrial investment. The developed method was tested on the example of assessment and analysis of characteristics of Russian region’s energy infrastructure. That resulted in the construction of rating of the regions by the level of energy-infrastructural potential and generating of energy-infrastructural maps. The obtained results have theoretical and practical importance and can be used in the development of activities in the field of energy efficiency in the regional context and in the analysis of the energy-infrastructural capacity of potential locations for industrial investments.
Key words: energy-infrastructural potential / investment attractiveness / the ratio of regions / the coefficient of energy tariffs / the coefficient of technological connection / industrial investment / the region’s economy / energy infrastructure / energy tariffs / technological connection.
© Owned by 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.
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