High resolution GDP modelling for climate risk assessments with an application to coastal flooding in Norway
An important prerequisite for accurately characterizing economic exposure from climate change at the national scale is a spatial inventory of economic activity and value creation. Current options for such inventories are limited, being either spatially precise but economically bounded sector-specifi...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IOP Publishing
2025-01-01
|
| Series: | Environmental Research Letters |
| Subjects: | |
| Online Access: | https://doi.org/10.1088/1748-9326/adf867 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849338759626096640 |
|---|---|
| author | Francis I Barre Evert A Bouman Matthew James Ross Simpson Hilde Sande Borck Edgar G Hertwich Daniel D Moran |
| author_facet | Francis I Barre Evert A Bouman Matthew James Ross Simpson Hilde Sande Borck Edgar G Hertwich Daniel D Moran |
| author_sort | Francis I Barre |
| collection | DOAJ |
| description | An important prerequisite for accurately characterizing economic exposure from climate change at the national scale is a spatial inventory of economic activity and value creation. Current options for such inventories are limited, being either spatially precise but economically bounded sector-specific or owner-specific datasets, or gridded gross domestic product (GDP) products with coarse spatial resolution and inadequate sectoral resolution. To address these limitations, we develop a map of national GDP with high spatial and sectoral resolution. We stress this with meter-scale flood hazard maps to characterize GDP at risk from flooding. We further couple this to a macroeconomic input–output analysis to use the new sectoral resolution to estimate the scope of indirect economic exposure to flood at a national scale. |
| format | Article |
| id | doaj-art-48ea98f682434a55a5c1a4ffeed7c356 |
| institution | Kabale University |
| issn | 1748-9326 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | Environmental Research Letters |
| spelling | doaj-art-48ea98f682434a55a5c1a4ffeed7c3562025-08-20T03:44:18ZengIOP PublishingEnvironmental Research Letters1748-93262025-01-0120909404510.1088/1748-9326/adf867High resolution GDP modelling for climate risk assessments with an application to coastal flooding in NorwayFrancis I Barre0https://orcid.org/0000-0002-9845-1648Evert A Bouman1https://orcid.org/0000-0002-0882-9580Matthew James Ross Simpson2https://orcid.org/0009-0000-3408-1492Hilde Sande Borck3https://orcid.org/0009-0004-3983-9070Edgar G Hertwich4https://orcid.org/0000-0002-4934-3421Daniel D Moran5https://orcid.org/0000-0002-2310-2275NILU, Environmental Impacts and Sustainability , Kjøpmannsgata 8, 7013 Trondheim, Norway; Department of Energy and Process Technology, Industrial Ecology Programme, Norwegian University of Science and Technology , Kolbjørn Hejes vei 1B, 7034 Trondheim, NorwayNILU, Environmental Impacts and Sustainability , Kjøpmannsgata 8, 7013 Trondheim, Norway; Circularity and Sustainability Impacts, TNO , Utrecht, The NetherlandsGeodetic Institute, Norwegian Mapping Authority , 3507 Hønefoss, NorwayGeodetic Institute, Norwegian Mapping Authority , 3507 Hønefoss, NorwayDepartment of Energy and Process Technology, Industrial Ecology Programme, Norwegian University of Science and Technology , Kolbjørn Hejes vei 1B, 7034 Trondheim, NorwayNILU, Environmental Impacts and Sustainability , Kjøpmannsgata 8, 7013 Trondheim, NorwayAn important prerequisite for accurately characterizing economic exposure from climate change at the national scale is a spatial inventory of economic activity and value creation. Current options for such inventories are limited, being either spatially precise but economically bounded sector-specific or owner-specific datasets, or gridded gross domestic product (GDP) products with coarse spatial resolution and inadequate sectoral resolution. To address these limitations, we develop a map of national GDP with high spatial and sectoral resolution. We stress this with meter-scale flood hazard maps to characterize GDP at risk from flooding. We further couple this to a macroeconomic input–output analysis to use the new sectoral resolution to estimate the scope of indirect economic exposure to flood at a national scale.https://doi.org/10.1088/1748-9326/adf867climate adaptationnatural hazardsvalue addedinput output analysiscoastal floodinghypothetical extraction method |
| spellingShingle | Francis I Barre Evert A Bouman Matthew James Ross Simpson Hilde Sande Borck Edgar G Hertwich Daniel D Moran High resolution GDP modelling for climate risk assessments with an application to coastal flooding in Norway Environmental Research Letters climate adaptation natural hazards value added input output analysis coastal flooding hypothetical extraction method |
| title | High resolution GDP modelling for climate risk assessments with an application to coastal flooding in Norway |
| title_full | High resolution GDP modelling for climate risk assessments with an application to coastal flooding in Norway |
| title_fullStr | High resolution GDP modelling for climate risk assessments with an application to coastal flooding in Norway |
| title_full_unstemmed | High resolution GDP modelling for climate risk assessments with an application to coastal flooding in Norway |
| title_short | High resolution GDP modelling for climate risk assessments with an application to coastal flooding in Norway |
| title_sort | high resolution gdp modelling for climate risk assessments with an application to coastal flooding in norway |
| topic | climate adaptation natural hazards value added input output analysis coastal flooding hypothetical extraction method |
| url | https://doi.org/10.1088/1748-9326/adf867 |
| work_keys_str_mv | AT francisibarre highresolutiongdpmodellingforclimateriskassessmentswithanapplicationtocoastalfloodinginnorway AT evertabouman highresolutiongdpmodellingforclimateriskassessmentswithanapplicationtocoastalfloodinginnorway AT matthewjamesrosssimpson highresolutiongdpmodellingforclimateriskassessmentswithanapplicationtocoastalfloodinginnorway AT hildesandeborck highresolutiongdpmodellingforclimateriskassessmentswithanapplicationtocoastalfloodinginnorway AT edgarghertwich highresolutiongdpmodellingforclimateriskassessmentswithanapplicationtocoastalfloodinginnorway AT danieldmoran highresolutiongdpmodellingforclimateriskassessmentswithanapplicationtocoastalfloodinginnorway |