Contribution of mining industry to natural resource capacity of a region

Economic prosperity of any region depends, first of all, on the availability and efficient use of natural resources. Quantitatively, economic exuberance is expressed in money terms, different in form and value per regions, which makes their comparison difficult. In this article, the natural resource capacity of a region is constructed as a weighted sum of developed regional natural resources in physical terms. The case studies of three regions in Russia are presented: Perm, Stavropol and Altai Krai. Each region possesses distinct natural resources. The information sources were the official federal and regional statistics. The calculations involved norming of data to eliminate the influence of unit measures. Each natural resource was assumed as a partial criterion, and their weighted sum was considered as a generalized integrated criterion of the natural resource capacity of a region. The weight of a partial criterion was determined as an inverse value of its rank (significance) in the selected system of criteria by minimizing the sum of squared deviations between the current and previous values of the integrated criterion. The minimization procedure was implemented in MS Excel by brute-force search of variously arranged partial criteria using the Fisher–Yates shuffle. The studies find that the resultant optimal rankings of partial criteria agree with their weights from the official statistics in all three test regions. This means that the method of estimating regional natural resource capacity is correct and applicable in further research.

Keywords: mining industry, minerals, natural resources, natural resource capacity, estimation, optimization, ranking, integrated criterion.
For citation:

Sirotina N. А., Kopoteva А. V., Zatonskiy А. V. Contribution of mining industry to natural resource capacity of a region. MIAB. Mining Inf. Anal. Bull. 2020;(8):163-178. [In Russ]. DOI: 10.25018/0236-1493-2020-8-0-163-178.

Issue number: 8
Year: 2020
Page number: 163-178
ISBN: 0236-1493
UDK: 553.04; 004.9
DOI: 10.25018/0236-1493-2020-8-0-163-178
Article receipt date: 22.01.2020
Date of review receipt: 14.04.2020
Date of the editorial board′s decision on the article′s publishing: 20.07.2020
About authors:

N.A. Sirotina1, Senior Lecturer, e-mail:,
A.V. Kopoteva1, Cand. Sci. (Eng.), Assistant Professor, e-mail:,
A.V. Zatonskiy1, Dr. Sci. (Eng.), Professor, Head of Chair, e-mail:,
1 Perm National Polytechnic Research University, Berezniki branch, 618404, Berezniki, Russia.


For contacts:

N.A. Sirotina, e-mail:


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