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Shinichiro Fujimori is a visiting research scholar in Energy Program at IIASA and a researcher with NIES (National Institute for Environmental Studies, Japan), Center for Social and Environmental Systems Research, having joined the center in April 2010. Dr. Fujimori's main fields of scientific interest include integrated assessment modeling in climate change mitigation as well as its impact and adaptation. Furthermore, in a broader sense, global social environmental issues and their assessments such as food security, biodiversity etc. are also included. His research attempts to inform national and global environmental policy on matters related to environmental change.
Dr. Fujimori is involved in the development of the AIM (Asian-Pacific Integrated Model) in particular the AIM/CGE (Computable General Equilibrium) model. The AIM/CGE model is able to assess macroeconomic impacts due to various aspects of societal and environmental change economics. He is developing an integrating platform, bridging the energy system model (MESSAGE) and the economic model (AIM/CGE) at IIASA.
Dr. Fujimori received his doctorate in Urban and Environmental Engineering from the Kyoto University (Japan), Institute of Engineering in 2009, following the completion of an MSc and BSc at the same institution. Dr. Fujimori first visited IIASA during his PhD studies as a participant of the 2006 Young Scientists Summer Program (YSSP).
Last update: 13-SEP-2016
Rao S, Klimont Z, Smith SJ, Van Dingenen R, Dentener F, Bouwman L, Riahi K, Amann M, et al. (2017). Future air pollution in the Shared Socio-economic Pathways. Global Environmental Change 42: 346-358. DOI:10.1016/j.gloenvcha.2016.05.012.
Siagian U, Yuwono B, Fujimori S, & Masui T (2017). Low-Carbon Energy Development in Indonesia in Alignment with Intended Nationally Determined Contribution (INDC) by 2030. Energies 10 (1): e52. DOI:10.3390/en10010052.
Alexander P, Prestele R, Verburg PH, Arneth A, Baranzelli C, Batista e Silva F, Brown C, Butler A, et al. (2017). Assessing uncertainties in land cover projections. Global Change Biology 23: 767-781. DOI:10.1111/gcb.13447.
Hasegawa T, Fujimori S, Ito A, Takahashi K, & Masui T (2016). Global land-use allocation model linked to an integrated assessment model. Science of the Total Environment DOI:10.1016/j.scitotenv.2016.12.025. (In Press)
Hasegawa T, Fujimori S, Boer R, Immanuel G, & Masui T (2016). Land-Based Mitigation Strategies under the Mid-Term Carbon Reduction Targets in Indonesia. Sustainability 8 (12): e1283. DOI:10.3390/su8121283.
Prestele R, Alexander P, Rounsevell M, Arneth A, Calvin K, Doelman J, Eitelberg D, Engström K, et al. (2016). Hotspots of uncertainty in land use and land cover change projections: a global scale model comparison. Global Change Biology 22 (12): 3967-3983. DOI:10.1111/gcb.13337.
Liu J-Y, Fujimori S, & Masui T (2016). Temporal and spatial distribution of global mitigation cost: INDCs and equity. Environmental Research Letters 11 (11): e114004. DOI:10.1088/1748-9326/11/11/114004.
Fujimori S, Kubota I, Dai H, Takahashi K, Hasegawa T, Liu J-Y, Hijioka Y, Masui T, et al. (2016). Will international emissions trading help achieve the objectives of the Paris Agreement? Environmental Research Letters 11 (10): e104001. DOI:10.1088/1748-9326/11/10/104001.
Fujimori S, Su X, Liu J-Y, Hasegawa T, Takahashi K, Masui T, & Takimi M (2016). Implication of Paris Agreement in the context of long-term climate mitigation goals. SpringerPlus 5 (1): e1620. DOI:10.1186/s40064-016-3235-9.
Kyle P, Johnson N, Davies E, Bijl DL, Mouratiadou I, Bevione M, Drouet L, Fujimori S, et al. (2016). Setting the system boundaries of “energy for water” for integrated modeling. Environmental Science & Technology 50 (17): 8930-8931. DOI:10.1021/acs.est.6b01066.
Nelson GC, Valin H, Sands RD, Havlik P, Ahammad H, Deryng D, Elliott J, Fujimori S, et al. (2014). Climate change effects on agriculture: Economic responses to biophysical shocks. Proceedings of the National Academy of Sciences 111 (9): 3274-3279. DOI:10.1073/pnas.1222465110.
Lotze-Campen H, von Lampe M, Kyle P, Fujimori S, Havlik P, von Meijl H, Hasegawa T, Popp A, et al. (2014). Impacts of increased bioenergy demand on global food markets: An AgMIP economic model intercomparison. Agricultural Economics 45 (1): 103-116. DOI:10.1111/agec.12092.
Robinson S, van Meijl H, Willenbockel D, Valin H, Fujimori S, Masui T, Sands R, Wise M, et al. (2014). Comparing supply-side specifications in models of global agriculture and the food system. Agricultural Economics 45 (1): 21-35. DOI:10.1111/agec.12087.
Schmitz C, von Meijl H, Kyle P, Nelson GC, Fujimori S, Gurgel A, Havlik P, Heyhoe E, et al. (2014). Land-use change trajectories up to 2050: Insights from a global agro-economic model comparison. Agricultural Economics 45 (1): 69-84. DOI:10.1111/agec.12090.
Valin H, Sands RD, van der Mensbrugghe D, Nelson GC, Ahammad H, Blanc E, Bodirsky B, Fujimori S, et al. (2014). The future of food demand: Understanding differences in global economic models. Agricultural Economics 45 (1): 51-67. DOI:10.1111/agec.12089.
von Lampe M, Willenbockel D, Ahammad H, Blanc E, Cai Y, Calvin K, Fujimori S, Hasegawa T, et al. (2014). Why do global long-term scenarios for agriculture differ? An overview of the AgMIP Global Economic Model Intercomparison. Agricultural Economics 45 (1): 3-20. DOI:10.1111/agec.12086.
Fujimori S (2007). A New Practical Method for Estimation of Input-Output Tables. IIASA Interim Report. IIASA, Laxenburg, Austria: IR-07-015
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