Socio-economic drivers - MESSAGE-GLOBIOM

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Model Documentation - MESSAGE-GLOBIOM
Corresponding documentation
Model information
Institution International Institute for Applied Systems Analysis (IIASA)
Concept Hybrid model (energy engineering and land use partial equilibrium models soft-linked to macro-economic general equilibrium model)
Solution method Hybrid model (linear program optimization for the energy systems and land-use modules, non-linear program optimization for the macro-economic module)
Anticipation Myopic/Perfect Foresight (MESSAGE can be run both with perfect foresight and myopically, while GLOBIOM runs myopically)

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 1) 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.

References

  1. ^  Brian C O’Neill, Elmar Kriegler, Keywan Riahi, Kristie L Ebi, Stephane Hallegatte, Timothy R Carter, Ritu Mathur, Detlef P van Vuuren (2014). A new scenario framework for climate change research: the concept of shared socioeconomic pathways. Climatic Change, 122 (3), 387--400.