| Literature DB >> 33613778 |
Masahiro Sugiyama1, Shinichiro Fujimori2,3,4, Kenichi Wada5, Ken Oshiro2, Etsushi Kato6, Ryoichi Komiyama7, Diego Silva Herran3,8, Yuhji Matsuo9, Hiroto Shiraki10, Yiyi Ju1.
Abstract
In June, 2019, Japan submitted its mid-century strategy to the United Nations Framework Convention on Climate Change and pledged 80% emissions cuts by 2050. The strategy has not gone through a systematic analysis, however. The present study, Stanford Energy Modeling Forum (EMF) 35 Japan Model Intercomparison project (JMIP), employs five energy-economic and integrated assessment models to evaluate the nationally determined contribution and mid-century strategy of Japan. EMF 35 JMIP conducts a suite of sensitivity analyses on dimensions including emissions constraints, technology availability, and demand projections. The results confirm that Japan needs to deploy all of its mitigation strategies at a substantial scale, including energy efficiency, electricity decarbonization, and end-use electrification. Moreover, they suggest that with the absence of structural changes in the economy, heavy industries will be one of the hardest to decarbonize. Partitioning of the sum of squares based on a two-way analysis of variance (ANOVA) reconfirms that mitigation strategies, such as energy efficiency and electrification, are fairly robust across models and scenarios, but that the cost metrics are uncertain. There is a wide gap of policy strength and breadth between the current policy instruments and those suggested by the models. Japan should strengthen its climate action in all aspects of society and economy to achieve its long-term target. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11625-021-00913-2.Entities:
Keywords: Carbon neutrality; Climate change mitigation; Integrated assessment; Long-term strategy; National climate policy; Net-zero emissions; Uncertainty
Year: 2021 PMID: 33613778 PMCID: PMC7887567 DOI: 10.1007/s11625-021-00913-2
Source DB: PubMed Journal: Sustain Sci ISSN: 1862-4057 Impact factor: 6.367