Transboundary cooperation in Arctic climate change governance under geopolitical tensions.
Political conflicts or geopolitical tensions can create uncertainty in addressing climate change and environmental management in the Arctic. Dissecting how actors interact with each other and form networks is important for understanding ecological and environmental management challenges during geopo...
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Online Access: | https://doi.org/10.1016/j.jenvman.2024.120855 https://pubmed.ncbi.nlm.nih.gov/38614007 |
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ftpubmed:38614007 2024-05-12T07:59:05+00:00 Transboundary cooperation in Arctic climate change governance under geopolitical tensions. Guo, Yu Bai, Rui Hong, Tao 2024 Apr 12 https://doi.org/10.1016/j.jenvman.2024.120855 https://pubmed.ncbi.nlm.nih.gov/38614007 eng eng Elsevier Science https://doi.org/10.1016/j.jenvman.2024.120855 https://pubmed.ncbi.nlm.nih.gov/38614007 Copyright © 2024 Elsevier Ltd. All rights reserved. J Environ Manage ISSN:1095-8630 Volume:358 Arctic climate change governance Geopolitical tensions Temporal exponential random graph model Transboundary cooperation networks Journal Article 2024 ftpubmed https://doi.org/10.1016/j.jenvman.2024.120855 2024-04-14T16:01:00Z Political conflicts or geopolitical tensions can create uncertainty in addressing climate change and environmental management in the Arctic. Dissecting how actors interact with each other and form networks is important for understanding ecological and environmental management challenges during geopolitical tensions, as well as promoting better governance. We construct transboundary networks for Arctic climate change governance (ACCG) from 2013 to 2021 based on the Global Database of Events, Language, and Tone (GDELT). Further, we used network descriptive statistical analysis and Temporal Exponential Random Graph Models (TERGM) to explore the structure of ACCG networks and the key factors influencing cooperation formation. The findings suggest that the overall cooperation density of the ACCG is low, and the dominant position of core actors is continuously strengthening. Non-state actors are less likely to be seen as partners and their participation depends largely on cooperation with states. The results also show that actors with similar stances and problem exposure are more likely to cooperate, but those exposed to high latitudes often choose not to cooperate; first-comers are more likely to perceive as cooperating yet they are inclined to establish internal cooperation. Additionally, two geographically proximate actors are more likely to cooperate. This indicates that under geopolitical tensions, the ACCG faces challenges not only due to the limited capacity of non-state actors to perform transboundary functions but also because the cooperation mechanisms are influenced by regional political logic. Accordingly, we further suggest policy recommendations from developing binding international frameworks to guide transboundary cooperation, enhancing cooperation among non-state actors, and ensuring the representativeness and fairness of non-Arctic actors' participation. This research provides insights into transboundary environmental management under political tensions, while also offering new pathways for analysing large-scale environmental governance structures. Article in Journal/Newspaper Arctic Climate change PubMed Central (PMC) Arctic Journal of Environmental Management 358 120855 |
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Open Polar |
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PubMed Central (PMC) |
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language |
English |
topic |
Arctic climate change governance Geopolitical tensions Temporal exponential random graph model Transboundary cooperation networks |
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Arctic climate change governance Geopolitical tensions Temporal exponential random graph model Transboundary cooperation networks Guo, Yu Bai, Rui Hong, Tao Transboundary cooperation in Arctic climate change governance under geopolitical tensions. |
topic_facet |
Arctic climate change governance Geopolitical tensions Temporal exponential random graph model Transboundary cooperation networks |
description |
Political conflicts or geopolitical tensions can create uncertainty in addressing climate change and environmental management in the Arctic. Dissecting how actors interact with each other and form networks is important for understanding ecological and environmental management challenges during geopolitical tensions, as well as promoting better governance. We construct transboundary networks for Arctic climate change governance (ACCG) from 2013 to 2021 based on the Global Database of Events, Language, and Tone (GDELT). Further, we used network descriptive statistical analysis and Temporal Exponential Random Graph Models (TERGM) to explore the structure of ACCG networks and the key factors influencing cooperation formation. The findings suggest that the overall cooperation density of the ACCG is low, and the dominant position of core actors is continuously strengthening. Non-state actors are less likely to be seen as partners and their participation depends largely on cooperation with states. The results also show that actors with similar stances and problem exposure are more likely to cooperate, but those exposed to high latitudes often choose not to cooperate; first-comers are more likely to perceive as cooperating yet they are inclined to establish internal cooperation. Additionally, two geographically proximate actors are more likely to cooperate. This indicates that under geopolitical tensions, the ACCG faces challenges not only due to the limited capacity of non-state actors to perform transboundary functions but also because the cooperation mechanisms are influenced by regional political logic. Accordingly, we further suggest policy recommendations from developing binding international frameworks to guide transboundary cooperation, enhancing cooperation among non-state actors, and ensuring the representativeness and fairness of non-Arctic actors' participation. This research provides insights into transboundary environmental management under political tensions, while also offering new pathways for analysing large-scale environmental governance structures. |
format |
Article in Journal/Newspaper |
author |
Guo, Yu Bai, Rui Hong, Tao |
author_facet |
Guo, Yu Bai, Rui Hong, Tao |
author_sort |
Guo, Yu |
title |
Transboundary cooperation in Arctic climate change governance under geopolitical tensions. |
title_short |
Transboundary cooperation in Arctic climate change governance under geopolitical tensions. |
title_full |
Transboundary cooperation in Arctic climate change governance under geopolitical tensions. |
title_fullStr |
Transboundary cooperation in Arctic climate change governance under geopolitical tensions. |
title_full_unstemmed |
Transboundary cooperation in Arctic climate change governance under geopolitical tensions. |
title_sort |
transboundary cooperation in arctic climate change governance under geopolitical tensions. |
publisher |
Elsevier Science |
publishDate |
2024 |
url |
https://doi.org/10.1016/j.jenvman.2024.120855 https://pubmed.ncbi.nlm.nih.gov/38614007 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Climate change |
genre_facet |
Arctic Climate change |
op_source |
J Environ Manage ISSN:1095-8630 Volume:358 |
op_relation |
https://doi.org/10.1016/j.jenvman.2024.120855 https://pubmed.ncbi.nlm.nih.gov/38614007 |
op_rights |
Copyright © 2024 Elsevier Ltd. All rights reserved. |
op_doi |
https://doi.org/10.1016/j.jenvman.2024.120855 |
container_title |
Journal of Environmental Management |
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358 |
container_start_page |
120855 |
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1798839969961213952 |