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Journal article : Review

Location, location, location: asset location data sources for nature-related financial risk analysis

Abstract:
Nature, the services it provides and the threats it is exposed to are inherently location-specific. Therefore, financial institutions will need to apply geospatial analysis to accurately assess nature-related financial risks. As a minimum, this requires knowing where a counterparty’s operations or supply chains are located. Asset location information is often cited by financial institutions as a major data gap for nature-related analysis. While granular supply chain data is notoriously hard to collect, location information about companies’ direct operational assets is available for various industries. We review different sources of asset location data, analyse their availability per industry and provide recommendations to reduce the location data barrier and address the ‘lack of data’ excuse to delay nature action.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.cosust.2025.101527

Authors

More by this author
Institution:
University of Oxford
Division:
SSD
Department:
SOGE
Sub department:
Smith School
Role:
Author
ORCID:
0000-0002-6030-5071
More by this author
Institution:
University of Oxford
Division:
SSD
Department:
SOGE
Sub department:
Smith School
Role:
Author
More by this author
Institution:
University of Oxford
Division:
SSD
Department:
SOGE
Sub department:
Smith School
Role:
Author
ORCID:
0009-0007-9158-3043
More by this author
Institution:
University of Oxford
Division:
SSD
Department:
SOGE
Sub department:
Smith School
Role:
Author


More from this funder
Funder identifier:
https://ror.org/02b5d8509
Grant:
NE/V017756/1


Publisher:
Elsevier
Journal:
Current Opinion in Environmental Sustainability More from this journal
Volume:
74
Article number:
101527
Publication date:
2025-03-21
Acceptance date:
2025-02-27
DOI:
EISSN:
1877-3443
ISSN:
1877-3435


Language:
English
Subtype:
Review
Pubs id:
2098075
Local pid:
pubs:2098075
Deposit date:
2025-03-24
ARK identifier:

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