Population - REMIND-MAgPIE: Difference between revisions
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Revision as of 10:59, 17 August 2016
Corresponding documentation | |
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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 |
Population and GDP are main drivers of future energy demand and, thus, GHG emissions in REMIND. We base population and GDP inputs on the Shared Socio-economic Pathway (SSP) scenarios (KC and Lutz 2014; Dellink et al. 2015). By default, we apply the population projections (both total population as well as working age population) from IIASA and the GDP scenarios from the OECD (https://secure.iiasa.ac.at/web-apps/ene/SspDb/dsd?Action=htmlpage&page=about). Individual projections are available for each of the five SSP scenarios. By default, we use SSP2 scenario data. To calibrate GDP, which is endogenous result of the growth engine in REMIND, we calibrate labor productivity parameters in an iterative procedure so as to reproduce the OECD's GDP reference scenarios. Within REMIND, GDP is measured in market exchange rates (MER).