Quantitative Assessment of Arctic Geoeconomic Space Development

Abstract The article presents a method for quantifying the development of the Arctic geoeconomic space by different countries. The Arctic reserves are estimated at 10-15% of the world’s reserves as two main studies – USGS (2008) and Wood Mackenzie and Fug Robertson (2006) – show. The resources are m...

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Published in:IOP Conference Series: Earth and Environmental Science
Main Authors: Kikkas, K N, Didenko, N I, Krasnozhenova, E E, Smolskaia, N B
Format: Article in Journal/Newspaper
Language:unknown
Published: IOP Publishing 2020
Subjects:
Online Access:http://dx.doi.org/10.1088/1755-1315/539/1/012073
https://iopscience.iop.org/article/10.1088/1755-1315/539/1/012073/pdf
https://iopscience.iop.org/article/10.1088/1755-1315/539/1/012073
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spelling crioppubl:10.1088/1755-1315/539/1/012073 2024-06-02T08:00:31+00:00 Quantitative Assessment of Arctic Geoeconomic Space Development Kikkas, K N Didenko, N I Krasnozhenova, E E Smolskaia, N B 2020 http://dx.doi.org/10.1088/1755-1315/539/1/012073 https://iopscience.iop.org/article/10.1088/1755-1315/539/1/012073/pdf https://iopscience.iop.org/article/10.1088/1755-1315/539/1/012073 unknown IOP Publishing http://creativecommons.org/licenses/by/3.0/ https://iopscience.iop.org/info/page/text-and-data-mining IOP Conference Series: Earth and Environmental Science volume 539, issue 1, page 012073 ISSN 1755-1307 1755-1315 journal-article 2020 crioppubl https://doi.org/10.1088/1755-1315/539/1/012073 2024-05-07T14:04:00Z Abstract The article presents a method for quantifying the development of the Arctic geoeconomic space by different countries. The Arctic reserves are estimated at 10-15% of the world’s reserves as two main studies – USGS (2008) and Wood Mackenzie and Fug Robertson (2006) – show. The resources are mainly concentrated on the shelf (about 85%), with 80% of the resources being gas resources. Of the five states bordering the Arctic, Russia has more than half of all undiscovered reserves. The observed melting of ice due to warming makes real plans for their development, which turns the Arctic zone into a leading strategic resource base. In the conducted research, the Arctic space is divided into the following areas: demographic; innovation and technology; environmental; production and markets; social; manufacturing. The indicators that evaluate these areas are presented. For each of the eight Arctic countries, baseline data on indicators for the period of 2006-2018 were collected. The indices for each country for each year indicator in every area were calculated on the basis of the initial statistical data. The indices are calculated as the arithmetic average of the partial indicators for each year indicator that characterizes each of the listed areas. The areas under consideration are ranked by significance and each sphere is assigned weight coefficients. The proposed formula for the integral index has the form: I I = 0,125* I 1 + 0,25* I 2 + 0,25* I 3 + 0,125* I 4 + 0,125* I 5 + 0,125* I 6 . The results of the analysis by all areas are presented. Article in Journal/Newspaper Arctic IOP Publishing Arctic IOP Conference Series: Earth and Environmental Science 539 012073
institution Open Polar
collection IOP Publishing
op_collection_id crioppubl
language unknown
description Abstract The article presents a method for quantifying the development of the Arctic geoeconomic space by different countries. The Arctic reserves are estimated at 10-15% of the world’s reserves as two main studies – USGS (2008) and Wood Mackenzie and Fug Robertson (2006) – show. The resources are mainly concentrated on the shelf (about 85%), with 80% of the resources being gas resources. Of the five states bordering the Arctic, Russia has more than half of all undiscovered reserves. The observed melting of ice due to warming makes real plans for their development, which turns the Arctic zone into a leading strategic resource base. In the conducted research, the Arctic space is divided into the following areas: demographic; innovation and technology; environmental; production and markets; social; manufacturing. The indicators that evaluate these areas are presented. For each of the eight Arctic countries, baseline data on indicators for the period of 2006-2018 were collected. The indices for each country for each year indicator in every area were calculated on the basis of the initial statistical data. The indices are calculated as the arithmetic average of the partial indicators for each year indicator that characterizes each of the listed areas. The areas under consideration are ranked by significance and each sphere is assigned weight coefficients. The proposed formula for the integral index has the form: I I = 0,125* I 1 + 0,25* I 2 + 0,25* I 3 + 0,125* I 4 + 0,125* I 5 + 0,125* I 6 . The results of the analysis by all areas are presented.
format Article in Journal/Newspaper
author Kikkas, K N
Didenko, N I
Krasnozhenova, E E
Smolskaia, N B
spellingShingle Kikkas, K N
Didenko, N I
Krasnozhenova, E E
Smolskaia, N B
Quantitative Assessment of Arctic Geoeconomic Space Development
author_facet Kikkas, K N
Didenko, N I
Krasnozhenova, E E
Smolskaia, N B
author_sort Kikkas, K N
title Quantitative Assessment of Arctic Geoeconomic Space Development
title_short Quantitative Assessment of Arctic Geoeconomic Space Development
title_full Quantitative Assessment of Arctic Geoeconomic Space Development
title_fullStr Quantitative Assessment of Arctic Geoeconomic Space Development
title_full_unstemmed Quantitative Assessment of Arctic Geoeconomic Space Development
title_sort quantitative assessment of arctic geoeconomic space development
publisher IOP Publishing
publishDate 2020
url http://dx.doi.org/10.1088/1755-1315/539/1/012073
https://iopscience.iop.org/article/10.1088/1755-1315/539/1/012073/pdf
https://iopscience.iop.org/article/10.1088/1755-1315/539/1/012073
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_source IOP Conference Series: Earth and Environmental Science
volume 539, issue 1, page 012073
ISSN 1755-1307 1755-1315
op_rights http://creativecommons.org/licenses/by/3.0/
https://iopscience.iop.org/info/page/text-and-data-mining
op_doi https://doi.org/10.1088/1755-1315/539/1/012073
container_title IOP Conference Series: Earth and Environmental Science
container_volume 539
container_start_page 012073
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