The local costs of global climate change: spatial GDP downscaling under different climate scenarios
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| Název: | The local costs of global climate change: spatial GDP downscaling under different climate scenarios |
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| Autoři: | Massimiliano Rizzati, Gabriele Standardi, Gianni Guastella, Ramiro Parrado, Francesco Bosello, Stefano Pareglio |
| Přispěvatelé: | Rizzati, Massimiliano, Standardi, Gabriele, Guastella, Gianni, Ramiro, Parrado, Bosello, Francesco, Pareglio, Stefano |
| Rok vydání: | 2022 |
| Sbírka: | Università Ca’ Foscari Venezia: ARCA (Archivio Istituzionale della Ricerca) |
| Témata: | statistical downscaling, linear mixed model, climate change, adaptation cost, urban area projections, Settore SECS-P/06 - Economia Applicata |
| Popis: | We present a tractable methodology to estimate climate change costs at a 1 x 1 km grid resolution. Climate change costs are obtained as projected gross domestic product (GDP) changes, under different global shared socio-economic pathway-representative concentration pathway (SSP-RCP) scenarios, from a regional (multiple European NUTS levels) version of the Intertemporal Computable Equilibrium System (ICES) model. Local costs are obtained by downscaling projected GDP according to urbanized area estimated by a grid-level model that accounts for fixed effects, such as population and location, and spatially clustered random effects at multiple hierarchical administrative levels. We produce a grid-level dataset of climate change economic impacts under different scenarios that can be used to compare the cost - in terms of GDP loss - of no adaptation and the benefits of investing in local adaptation. |
| Druh dokumentu: | article in journal/newspaper |
| Jazyk: | English |
| Relation: | info:eu-repo/semantics/altIdentifier/wos/WOS:000830623400001; volume:1; firstpage:1; lastpage:21; numberofpages:21; journal:SPATIAL ECONOMIC ANALYSIS; http://hdl.handle.net/10278/5003012 |
| DOI: | 10.1080/17421772.2022.2096917 |
| Dostupnost: | http://hdl.handle.net/10278/5003012 https://doi.org/10.1080/17421772.2022.2096917 |
| Rights: | info:eu-repo/semantics/openAccess |
| Přístupové číslo: | edsbas.43F32F4C |
| Databáze: | BASE |
Nájsť tento článok vo Web of Science | Abstrakt: | We present a tractable methodology to estimate climate change costs at a 1 x 1 km grid resolution. Climate change costs are obtained as projected gross domestic product (GDP) changes, under different global shared socio-economic pathway-representative concentration pathway (SSP-RCP) scenarios, from a regional (multiple European NUTS levels) version of the Intertemporal Computable Equilibrium System (ICES) model. Local costs are obtained by downscaling projected GDP according to urbanized area estimated by a grid-level model that accounts for fixed effects, such as population and location, and spatially clustered random effects at multiple hierarchical administrative levels. We produce a grid-level dataset of climate change economic impacts under different scenarios that can be used to compare the cost - in terms of GDP loss - of no adaptation and the benefits of investing in local adaptation. |
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| DOI: | 10.1080/17421772.2022.2096917 |