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.

Acknowledgements:
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: nsirotina117@mail.ru,
A.V. Kopoteva1, Cand. Sci. (Eng.), Assistant Professor, e-mail: kopoteva_av@mail.ru,
A.V. Zatonskiy1, Dr. Sci. (Eng.), Professor, Head of Chair, e-mail: zxenon@narod.ru,
1 Perm National Polytechnic Research University, Berezniki branch, 618404, Berezniki, Russia.

 

For contacts:

N.A. Sirotina, e-mail: nsirotina117@mail.ru.

Bibliography:

1. Zhirov D. V. Solid mineral reserves and resources—a framework for the balanced social and economic development in the Euro-Arctic zone of the Russian Federation. Sever i rynok: formirovanie ekonomicheskogo poryadka. 2019, no 1 (63), pp. 36—49. [In Russ].

2. Shpurov I. V. Relevance and status of the new draft classification of solid mineral reserves and resources of the Russian Federation. Nedropol'zovanie XXI vek. 2019, no 2, pp. 62—62. [In Russ].

3. Aleksandrov O. V. Expansion of the common mineral reserves and resources in the federal subjects of the Russian Federation. Razvedka i okhrana nedr. 2017, no 4, pp. 39—42. [In Russ].

4. Redmond T., Nasir M. A. Role of natural resource abundance, international trade and financial development in the economic development of selected countries. Resources Policy. 2020. Vol. 66. Pр. 65—78.

5. Berezovskiy V. S. Comparison of efficiency of Russia’s electric network companies using the data envelope analysis (DEA). Novoe v rossiyskoy elektroenergetike. 2018, no 8, pp. 58—67. [In Russ].

6. Ratner S. V. Dynamic problems of ecological and economic efficiency evaluation of regions based on reference models of the data envelope analysis. Upravlenie bol'shimi sistemami: sbornik trudov. 2017, no 67, pp. 81—106. [In Russ].

7. Chaabouni S. China's regional tourism efficiency. A two-stage double bootstrap data envelopment analysis. Journal of Destination Marketing & Management. 2019. Vol. 11. Pp. 183—191.

8. Zhong Y., Zhao J. The optimal model of oilfield development investment based on Data Envelopment Analysis. Petroleum. 2016. Vol. 2. No 3. Pp. 307—312.

9. Kochanov A. A., Lyasin D. N. Expert appraisal of asymmetrical cryption algorithms by the Saaty method. NovaInfo.Ru. 2017. vol. 1, no 60, pp. 41—46. [In Russ].

10. Solomakhin A. N. Optimization of the development program for the regional agribusiness industry using the analytic hierarchy process of Saaty. Sistemy upravleniya i informatsionnye tekhnologii. 2007, no 1—2 (27), pp. 279—282. [In Russ].

11. Fedorova N. V., Mokhov V.A., Antonenko E. M., Shaforost D. A., Kolomiytseva A. M., Utisheva S. A., Ushakov F. I. Selection of energy industry strategy given a few energy sources using the analytic hierarchy process of Saaty. Okruzhayushchaya sreda i ustoychivoe razvitie regionov: ekologicheskie vyzovy XXI veka. Trudy III mezhdunarodnoy konferentsii [Environment and Sustainable Development: 21st Century Ecology Challenges. III International Conference Proceedings], Kazan, 2017, pp. 616—620. [In Russ].

12. Shabbir R., Ahmad S. S. Water resource vulnerability assessment in Rawalpindi and Islamabad, Pakistan using Analytic Hierarchy Process (AHP). Journal of King Saud University — Science. 2016. Vol. 28. No 4. Pp. 293—299.

13. Doyle M. R. Mapping urban underground potential in Dakar, Senegal: From the analytic hierarchy process to self-organizing maps. Underground Space. 2019. DOI: 10.1016/j.undsp.2019.04.004

14. Kindler J., Tyszewski S., Zielinski P. Water Resources Allocation with Imprecise Demand Estimates. IFAC Proceedings Volumes. 1984. Vol. 17. No 2. Pp. 3139—3144.

15. Biswas A., De A. K. A Fuzzy Goal Programming Approach for Solid Waste Management Under Multiple Uncertainties. Procedia Environmental Sciences. 2016. Vol. 35. Pp. 245—256.

16. Shchepetova V.A. Ecological and economic problems of mineral mining in the Penza Region. Obrazovanie i nauka v sovremennom mire. 2018, no 8. pp. 262—267. [In Russ].

17. Ageev V. G. Integrated use of natural resources: Ecological and economic problems and possible solutions. Nauchnyy vestnik NIIGD Respirator. 2018, no 1, pp. 89—103. [In Russ].

18. Samus T., Lang B. Assessing the natural resource use and the resource efficiency potential of the Desertec concept. Solar Energy. 2013. Vol. 87. Pр. 176—183.

19. Novoselova I. Yu. Economic mechanisms of ecological conflict prevention in a region. Ekonomika. Nalogi. Pravo. 2019, no 5, pp. 70—81. [In Russ].

20. Matveev V. V. Prediction of production outputs of fuel and power mineral resources in modern geoeconomics. Perspektivnye tekhnologii proektnogo menedzhmenta v regional'noy i otraslevoy industrii. Materialy I Vserossiyskoy nauchno-prakticheskoy konferentsii [Advanced Project Management Technologies in the Regional and Sectorial Industry. I Russian Conference and Workshop Proceedings], Orel, 2019, pp. 299—304. [In Russ].

21. Namazi М., Mohammadi Е. Natural resource dependence and economic growth: A TOPSIS/DEA analysis of innovation efficiency. Resources Policy. 2018. Vol. 59. Pр. 544—552.

22. Amiri H., Samadian F. Natural resource abundance, institutional quality and manufacturing development: Evidence from resource-rich countries. Resources Policy. 2019. Vol. 62. Pр. 520—560.

23. Sklyarova G. F., Arkhipova Yu.A. Mineral resources of the Khabarovsk Territory as a subject of the Russian Far East Federal District and their geo-economic appraisal. Gornyi Zhurnal. 2018, no 10, pp. 13—18. [In Russ].

24. Gulom F. I. Economic significance of minerals and mining constraints in Afghanistan. Vestnik tadzhikskogo natsional'nogo universiteta. Obrazovanie i nauka v sovremennom mire. 2017, no 2/2, pp. 100—105. [In Russ].

25. Potravnaya E. V. Ethnologic monitoring of natural management projects. Ekologiya ekonomika. informatika. Sistemnyy analiz i modelirovanie ekonomicheskikh i ekologicheskikh sistem. 2019, no 4, pp. 39—44. [In Russ].

26. Shcherbina E. V. Importance of natural environment in regional planning: Features of desert terrain in Syria. Ekologiya urbanizirovannykh territoriy. 2019, no 3, pp. 107—113. [In Russ].

27. Shchiptsov V. V. Mineral resource capacity of the Arctic areas in the Republic of Karelia. Trudy Karel'skogo nauchnogo tsentra Rossiyskoy akademii nauk. 2018, no 2, pp. 3—33. [In Russ].

28. Rashid Khan H., Zaman К., Usman В. Financial management of natural resource market: Long-run and inter-temporal (forecast) relationship. Resources Policy. 2019. Vol. 63. Pр. 165—178.

29. Chernyy S. A., Kopoteva A. V., Gureev K. A. Effect of economic strength on competitiveness of a company. Aktual'nye problemy ekonomiki. 2014, no 3 (153), pp. 238—247. [In Russ].

30. Yanchenko T. V., Zatonskiy A. V. Optimization of ranking of partial criteria for regional social resource appraisal. Ekonomika i menedzhment sistem upravleniya. 2013, vol. 10, no 4, pp. 99—104. [In Russ].

Our partners

Подписка на рассылку

Раз в месяц Вы будете получать информацию о новом номере журнала, новых книгах издательства, а также о конференциях, форумах и других профессиональных мероприятиях.