Population - 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. 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 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).
We base population 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 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.

Revision as of 10:54, 17 October 2016

Alert-warning.png Note: The documentation of REMIND-MAgPIE is and is not yet 'published'!

Model Documentation - REMIND-MAgPIE

    Corresponding documentation
    Previous versions
    Model information
    Model link
      Institution Potsdam Institut für Klimafolgenforschung (PIK), Germany, https://www.pik-potsdam.de/research/sustainable-solutions/models/remind.
      Solution concept
      Solution method
      Anticipation

      We base population 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 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.

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