Macroeconomic Impacts of Climate Change Driven by Changes in Crop Yields

DOI Web Site 被引用文献11件 オープンアクセス
  • Shinichiro Fujimori
    Department of Environmental Engineering, Kyoto University, Kyoto 615-8540, Japan
  • Toshichika Iizumi
    Institute for Agro-Environmental Sciences, National Agriculture and Research Organization, Tsukuba 305-8604, Japan
  • Tomoko Hasegawa
    Center for Social and Environmental Systems Research, National Institute for Environmental Studies, Tsukuba 305-8506, Japan
  • Jun’ya Takakura
    Center for Social and Environmental Systems Research, National Institute for Environmental Studies, Tsukuba 305-8506, Japan
  • Kiyoshi Takahashi
    Center for Social and Environmental Systems Research, National Institute for Environmental Studies, Tsukuba 305-8506, Japan
  • Yasuaki Hijioka
    Center for Social and Environmental Systems Research, National Institute for Environmental Studies, Tsukuba 305-8506, Japan

書誌事項

公開日
2018-10-14
権利情報
  • https://creativecommons.org/licenses/by/4.0/
DOI
  • 10.3390/su10103673
公開者
MDPI AG

説明

<jats:p>Changes in agricultural yields due to climate change will affect land use, agricultural production volume, and food prices as well as macroeconomic indicators, such as GDP, which is important as it enables one to compare climate change impacts across multiple sectors. This study considered five key uncertainty factors and estimated macroeconomic impacts due to crop yield changes using a novel integrated assessment framework. The five factors are (1) land-use change (or yield aggregation method based on spatially explicit information), (2) the amplitude of the CO2 fertilization effect, (3) the use of different climate models, (4) socioeconomic assumptions and (5) the level of mitigation stringency. We found that their global impacts on the macroeconomic indicator value were 0.02–0.06% of GDP in 2100. However, the impacts on the agricultural sector varied greatly by socioeconomic assumption. The relative contributions of these factors to the total uncertainty in the projected macroeconomic indicator value were greater in a pessimistic world scenario characterized by a large population size, low income, and low yield development than in an optimistic scenario characterized by a small population size, high income, and high yield development (0.00%).</jats:p>

収録刊行物

被引用文献 (11)*注記

もっと見る

キーワード

詳細情報 詳細情報について

問題の指摘

ページトップへ