論文

査読有り
2020年5月

An Assessment of Global Macroeconomic Impacts Caused by Sea Level Rise Using the Framework of Shared Socioeconomic Pathways and Representative Concentration Pathways

Sustainability
  • Osamu Nishiura, Makoto Tamura, Shinichiro Fujimori, Kiyoshi Takahashi, Junya Takakura, Yasuaki Hijioka

12
9
開始ページ
3737
終了ページ
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.3390/su12093737
出版者・発行元
MDPI

Coastal areas provide important services and functions for social and economic activities. Damage due to sea level rise (SLR) is one of the serious problems anticipated and caused by climate change. In this study, we assess the global economic impact of inundation due to SLR by using a computable general equilibrium (CGE) model that incorporates detailed coastal damage information. The scenario analysis considers multiple general circulation models, socioeconomic assumptions, and stringency of climate change mitigation measures. We found that the global household consumption loss proportion will be 0.045%, with a range of 0.027-0.066%, in 2100. Socioeconomic assumptions cause a difference in the loss proportion of up to 0.035% without greenhouse gas (GHG) emissions mitigation, the so-called baseline scenarios. The range of the loss proportion among GHG emission scenarios is smaller than the differences among the socioeconomic assumptions. We also observed large regional variations and, in particular, the consumption losses in low-income countries are, relatively speaking, larger than those in high-income countries. These results indicate that, even if we succeed in stabilizing the global mean temperature increase below 2 degrees C, economic losses caused by SLR will inevitably happen to some extent, which may imply that keeping the global mean temperature increase below 1.5 degrees C would be worthwhile to consider.

リンク情報
DOI
https://doi.org/10.3390/su12093737
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000537476200235&DestApp=WOS_CPL
ID情報
  • DOI : 10.3390/su12093737
  • eISSN : 2071-1050
  • Web of Science ID : WOS:000537476200235

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