Socio-economic drivers - REMIND-MAgPIE: Difference between revisions

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Population and GDP are main drivers of future energy demand and, thus, GHG emissions in REMIND-MAgPIE. We base population and GDP inputs on the Shared Socio-economic Pathway (SSP) scenarios. REMIND-MAgPIE’s default population projections (both total population as well as working age population) are based on IIASA <ref>KC S, Lutz W (2016) The human core of the shared socioeconomic pathways: Population scenarios by age, sex and level of education for all countries to 2100. Global Environmental Change in press. doi: 10.1016/j.gloenvcha.2014.06.004</ref> (and the GDP scenarios from the OECD <ref>Dellink et al. (2015) Long-term growth projections in Shared Socioeconomic Pathways. Submitted to Global Environmental Change (submitted)</ref>. Both Population and GDP scenario data are available at https://secure.iiasa.ac.at/web-apps/ene/SspDb/dsd?Action=htmlpage&page=about. These projections are available for all five different SSP scenarios <ref>O’Neill BC, Kriegler E, Riahi K, et al (2014) A new scenario framework for climate change research: the concept of shared socioeconomic pathways. Climatic Change 122:387–400. doi: 10.1007/s10584-013-0905-2</ref>.  For default scenarios, we use SSP2 scenario data as they represent a middle-of-the road scenario. To calibrate GDP, which is an endogenous result of the growth engine in REMIND-MAgPIE, we calibrate labor productivity parameters in an iterative procedure so as to reproduce the OECD's GDP reference scenarios. Within REMIND-MAgPIE GDP is measured in market exchange rates (MER).
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'''Figure 1'''. Projections of (a) population and (b) GDP used in the REMIND-MAgPIE SSP2 (“Middle-of-the-Road”) scenario.
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Revision as of 10:50, 25 January 2022

Model Documentation - REMIND-MAgPIE

Corresponding documentation
Previous versions
Model information
Model link
Institution Potsdam Institut für Klimafolgenforschung (PIK), Germany, https://www.pik-potsdam.de.
Solution concept General equilibrium (closed economy)MAgPIE: partial equilibrium model of the agricultural sector;
Solution method OptimizationMAgPIE: cost minimization;
Anticipation
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