Socio-economic drivers - MESSAGE-GLOBIOM: Difference between revisions
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Socio-economic drivers are typically informed by a scenario narrative that in qualitative terms describes the overall logic behind the scenarios. In the case of MESSAGE-GLOBIOM 1.0 the Shared Socio-economic Pathways (SSPs, see O’Neill et al., 2014 [[CiteRef::MSG-GLB_oneill_new_2014]]) provide this overall scenario logic based on which the main socio-economic drivers, [[Population_-_MESSAGE-GLOBIOM|population]] and [[Economic_activity_-_MESSAGE-GLOBIOM|GDP]], have been quantified. The subsections of this chapter describe how these quantitative drivers are used in MESSAGE-GLOBIOM. | |||
Revision as of 22:56, 7 November 2016
| Corresponding documentation | |
|---|---|
| Previous versions | |
| Model information | |
| Model link | |
| Institution | International Institute for Applied Systems Analysis (IIASA), Austria, http://data.ene.iiasa.ac.at. |
| Solution concept | General equilibrium (closed economy) |
| Solution method | Optimization |
| Anticipation | |
Socio-economic drivers are typically informed by a scenario narrative that in qualitative terms describes the overall logic behind the scenarios. In the case of MESSAGE-GLOBIOM 1.0 the Shared Socio-economic Pathways (SSPs, see O’Neill et al., 2014 MSG-GLB_oneill_new_2014) provide this overall scenario logic based on which the main socio-economic drivers, population and GDP, have been quantified. The subsections of this chapter describe how these quantitative drivers are used in MESSAGE-GLOBIOM.