Macroeconomic Impacts of Climate Change Driven by Changes in Crop Yields

Shinichiro Fujimori, Toshichika Iizumi, Tomoko Hasegawa, Jun’ya Takakura, Kiyoshi Takahashi and Yasuaki Hijioka
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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

Sustainability, 2018, vol. 10, issue 10, 1-14

Abstract: 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 CO 2 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%).

Keywords: agricultural impacts; climate change impacts; integrated assessment model; CGE model (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:10:y:2018:i:10:p:3673-:d:175538

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