Scientific modeling that combines society, economy and the climate system
Integrated assessment modelling (IAM) or integrated modelling (IM) [a] is a term used for a type of scientific modelling that tries to link main features of society and economy with the biosphere and atmosphere into one modelling framework. The goal of integrated assessment modelling is to accommodate informed policy-making, usually in the context of climate change [2] though also in other areas of human and social development.[3] While the detail and extent of integrated disciplines varies strongly per model, all climatic integrated assessment modelling includes economic processes as well as processes producing greenhouse gases.[4] Other integrated assessment models also integrate other aspects of human development such as education,[5] health,[6] infrastructure,[7] and governance.[8]
These models are integrated because they span multiple academic disciplines, including economics and climate science and for more comprehensive models also energy systems, land-use change, agriculture, infrastructure, conflict, governance, technology, education, and health. The word assessment comes from the use of these models to provide information for answering policy questions.[9] To quantify these integrated assessment studies, numerical models are used. Integrated assessment modelling does not provide predictions for the future but rather estimates what possible scenarios look like.[9]
There are different types of integrated assessment models. One classification distinguishes between firstly models that quantify future developmental pathways or scenarios and provide detailed, sectoral information on the complex processes modelled. Here they are called process-based models. Secondly, there are models that aggregate the costs of climate change and climate change mitigation to find estimates of the total costs of climate change.[4] A second classification makes a distinction between models that extrapolate verified patterns (via econometrics equations), or models that determine (globally) optimal economic solutions from the perspective of a social planner, assuming (partial) equilibrium of the economy.[10][11]
^
Clarke, Leon; Jiang, Kejun; et al. (2014). "Chapter 6: Assessing transformation pathways" (PDF). In IPCC (ed.). Climate change 2014: mitigation of climate change. Contribution of Working Group III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge, UK and New York, NY, USA: Cambridge University Press. ISBN 978-1-107-65481-5. Retrieved 2016-05-09.
^Hughes, Barry (2019). International Futures: Building and Using Global Models. Elsevier Academic Press. ISBN 978-0128042717.
^ abWeyant, John (2017). "Some Contributions of Integrated Assessment Models of Global Climate Change". Review of Environmental Economics and Policy. 11 (1): 115–137. doi:10.1093/reep/rew018. ISSN 1750-6816.
^Dickson, Janet; Hughes, Barry; Irfan, Mohammod (2010). Advancing Global Education. Paradigm Press. ISBN 978-1-59451-755-6.
^Hughes, Barry; Kuhn, Randall; Peterson, Cecilia; Rothman, Dale; Solorzano, Jose (2011). Improving Global Health. Paradigm Press. ISBN 978-1-59451-896-6.
^Rothman, Dale; Irfan, Mohammod; Margolese-Malin, Eli; Hughes, Barry; Moyer, Jonathan (2014). Building Global Infrastructure. Paradigm Press. ISBN 978-1-61205-092-8.
^Hughes, Barry; Joshi, Devin; Moyer, Jonathan; Sisk, Timothy; Solorzano, Jose (2014). Strengthening Governance Globally. Paradigm Press. ISBN 978-1-61205-561-9.
^ ab"Inaugural lecture Detlef van Vuuren: Integrated Assessment: Back to the Future - PBL Netherlands Environmental Assessment Agency". www.pbl.nl. Retrieved 2019-06-01.
^Pauliuk, Stefan; Arvesen, Anders; Stadler, Konstantin; Hertwich, Edgar G. (2017). "Industrial ecology in integrated assessment models". Nature Climate Change. 7 (1): 13–20. Bibcode:2017NatCC...7...13P. doi:10.1038/nclimate3148. hdl:11250/2779855. ISSN 1758-6798.
^Lamperti, F.; Dosi, G.; Napoletano, M.; Roventini, A.; Sapio, A. (2018). "Faraway, So Close: Coupled Climate and Economic Dynamics in an Agent-based Integrated Assessment Model". Ecological Economics. 150: 315–339. doi:10.1016/j.ecolecon.2018.03.023. hdl:11382/517765. ISSN 0921-8009.
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