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Resource rent as the key factor of energy and economic policy. / Filimonova, Irina V.; Eder, Leontiy V.; Provornaya, Irina V. et al.

In: International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM, Vol. 18, No. 5.3, 01.01.2018, p. 695-702.

Research output: Contribution to journalConference articlepeer-review

Harvard

Filimonova, IV, Eder, LV, Provornaya, IV, Nemov, VY & Mishenin, MV 2018, 'Resource rent as the key factor of energy and economic policy', International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM, vol. 18, no. 5.3, pp. 695-702. https://doi.org/10.5593/sgem2018/5.3/S28.089

APA

Filimonova, I. V., Eder, L. V., Provornaya, I. V., Nemov, V. Y., & Mishenin, M. V. (2018). Resource rent as the key factor of energy and economic policy. International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM, 18(5.3), 695-702. https://doi.org/10.5593/sgem2018/5.3/S28.089

Vancouver

Filimonova IV, Eder LV, Provornaya IV, Nemov VY, Mishenin MV. Resource rent as the key factor of energy and economic policy. International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM. 2018 Jan 1;18(5.3):695-702. doi: 10.5593/sgem2018/5.3/S28.089

Author

Filimonova, Irina V. ; Eder, Leontiy V. ; Provornaya, Irina V. et al. / Resource rent as the key factor of energy and economic policy. In: International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM. 2018 ; Vol. 18, No. 5.3. pp. 695-702.

BibTeX

@article{6544109c5469418a928a9f91365f3ebc,
title = "Resource rent as the key factor of energy and economic policy",
abstract = "The paper is devoted to a comprehensive study of the impact of rent received from energy resources on the economies of individual countries as a factor for the development of a balanced energy dialogue with the countries of the European Union. The research methodology consists of a three-stage sequential algorithm. The first stage is to calculate the absolute and relative profitability of extraction of energy resources. The second stage of the algorithm consists in clustering countries in terms of the level of dependence of the economy on rent from energy resources. The third stage of the algorithm is to determine the relationship between the degree of risk and the profitability of energy resources. The analysis made it possible to identify the inverse relationship between the level of extraction of energy resources and the level of economic development. As a rule, in countries with a low diversified economy, a larger amount of rent from energy resources is generated. It is established that a higher level of energy resources in the country does not affect the formation of a higher amount of rent. It has been proven that the greatest revenue per ton of production is observed in countries that are not among leaders in technological development of the economy and extraction. Thus, the level of reserves is not a key factor in the formation of rent. Moreover the global trend of the dependence of the economy on rent from energy resources has the cyclical nature and in recent years this dependence has been steadily decreasing.",
keywords = "Clustering, Economic development, Energy resources, Rent, Reserves",
author = "Filimonova, {Irina V.} and Eder, {Leontiy V.} and Provornaya, {Irina V.} and Nemov, {Vasily Yu} and Mishenin, {Mikhail V.}",
note = "Publisher Copyright: {\textcopyright} SGEM2018.; 18th International Multidisciplinary Scientific Geoconference, SGEM 2018 ; Conference date: 02-07-2018 Through 08-07-2018",
year = "2018",
month = jan,
day = "1",
doi = "10.5593/sgem2018/5.3/S28.089",
language = "English",
volume = "18",
pages = "695--702",
journal = "International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM",
issn = "1314-2704",
publisher = "International Multidisciplinary Scientific Geoconference",
number = "5.3",

}

RIS

TY - JOUR

T1 - Resource rent as the key factor of energy and economic policy

AU - Filimonova, Irina V.

AU - Eder, Leontiy V.

AU - Provornaya, Irina V.

AU - Nemov, Vasily Yu

AU - Mishenin, Mikhail V.

N1 - Publisher Copyright: © SGEM2018.

PY - 2018/1/1

Y1 - 2018/1/1

N2 - The paper is devoted to a comprehensive study of the impact of rent received from energy resources on the economies of individual countries as a factor for the development of a balanced energy dialogue with the countries of the European Union. The research methodology consists of a three-stage sequential algorithm. The first stage is to calculate the absolute and relative profitability of extraction of energy resources. The second stage of the algorithm consists in clustering countries in terms of the level of dependence of the economy on rent from energy resources. The third stage of the algorithm is to determine the relationship between the degree of risk and the profitability of energy resources. The analysis made it possible to identify the inverse relationship between the level of extraction of energy resources and the level of economic development. As a rule, in countries with a low diversified economy, a larger amount of rent from energy resources is generated. It is established that a higher level of energy resources in the country does not affect the formation of a higher amount of rent. It has been proven that the greatest revenue per ton of production is observed in countries that are not among leaders in technological development of the economy and extraction. Thus, the level of reserves is not a key factor in the formation of rent. Moreover the global trend of the dependence of the economy on rent from energy resources has the cyclical nature and in recent years this dependence has been steadily decreasing.

AB - The paper is devoted to a comprehensive study of the impact of rent received from energy resources on the economies of individual countries as a factor for the development of a balanced energy dialogue with the countries of the European Union. The research methodology consists of a three-stage sequential algorithm. The first stage is to calculate the absolute and relative profitability of extraction of energy resources. The second stage of the algorithm consists in clustering countries in terms of the level of dependence of the economy on rent from energy resources. The third stage of the algorithm is to determine the relationship between the degree of risk and the profitability of energy resources. The analysis made it possible to identify the inverse relationship between the level of extraction of energy resources and the level of economic development. As a rule, in countries with a low diversified economy, a larger amount of rent from energy resources is generated. It is established that a higher level of energy resources in the country does not affect the formation of a higher amount of rent. It has been proven that the greatest revenue per ton of production is observed in countries that are not among leaders in technological development of the economy and extraction. Thus, the level of reserves is not a key factor in the formation of rent. Moreover the global trend of the dependence of the economy on rent from energy resources has the cyclical nature and in recent years this dependence has been steadily decreasing.

KW - Clustering

KW - Economic development

KW - Energy resources

KW - Rent

KW - Reserves

UR - http://www.scopus.com/inward/record.url?scp=85058889037&partnerID=8YFLogxK

U2 - 10.5593/sgem2018/5.3/S28.089

DO - 10.5593/sgem2018/5.3/S28.089

M3 - Conference article

AN - SCOPUS:85058889037

VL - 18

SP - 695

EP - 702

JO - International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM

JF - International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM

SN - 1314-2704

IS - 5.3

T2 - 18th International Multidisciplinary Scientific Geoconference, SGEM 2018

Y2 - 2 July 2018 through 8 July 2018

ER -

ID: 17912886