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4311789 
Journal Article 
Industrial ecology in integrated assessment models 
Pauliuk, S; Arvesen, A; Stadler, K; Hertwich, EG 
2017 
1 
Nature Climate Change
ISSN: 1758-678X
EISSN: 1758-6798 
7 
1 
13-20 
WOS:000396346700009 
Technology-rich integrated assessment models (IAMs) address possible technology mixes and future costs of climate change mitigation by generating scenarios for the future industrial system. Industrial ecology (IE) focuses on the empirical analysis of this system. We conduct an in-depth review of five major IAMs from an IE perspective and reveal differences between the two fields regarding the modelling of linkages in the industrial system, focussing on AIM/CGE, GCAM, IMAGE, MESSAGE, and REMIND. IAMs ignore material cycles and recycling, incoherently describe the life-cycle impacts of technology, and miss linkages regarding buildings and infrastructure. Adding IE system linkages to IAMs adds new constraints and allows for studying new mitigation options, both of which may lead to more robust and policy-relevant mitigation scenarios. 
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