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The Imaclim-R model (Sassi et al., 2010 [[CiteRef::sassi2010im]]; Waisman et al., 2012[[CiteRef::waisman2012th]]), is a multi-region and multi-sector model of the world economy. It combines a Computable General Equilibrium (CGE) framework with bottom-up sectoral modules in a hybrid and recursive dynamic architecture. Furthermore, it describes growth patterns in second best worlds with market imperfections, partial uses of production factors and imperfect expectations. | |||
<xr id="tab:example"/> shows a list of references involving IMACLIM-R categorized as follows: | |||
# References describing the structure and results obtained with the Imaclim-R Global model | |||
# References to models comparison exercises in which Imaclim-R Global model has participated | |||
The references in <xr id="tab:example"/> are further divided by technology, behaviour etc. focus. | |||
{| class="wikitable" | {| class="wikitable" | ||
|+<caption>Articles describing IMACLIM and MIP's in which it has been involved</caption> | |+<caption>Articles describing IMACLIM and MIP's in which it has been involved</caption> |
Revision as of 09:57, 26 October 2016
experimental page: The Imaclim-R model (Sassi et al., 2010 sassi2010im; Waisman et al., 2012waisman2012th), is a multi-region and multi-sector model of the world economy. It combines a Computable General Equilibrium (CGE) framework with bottom-up sectoral modules in a hybrid and recursive dynamic architecture. Furthermore, it describes growth patterns in second best worlds with market imperfections, partial uses of production factors and imperfect expectations.
<xr id="tab:example"/> shows a list of references involving IMACLIM-R categorized as follows:
- References describing the structure and results obtained with the Imaclim-R Global model
- References to models comparison exercises in which Imaclim-R Global model has participated
The references in <xr id="tab:example"/> are further divided by technology, behaviour etc. focus.
Description of Imaclim-R structure and results | Models comparison (including Imaclim-R) | |
Technologies | Bibas and Méjean (2014)bibas2014potential (bioenergy) | Kim et al. (2014)kim2014nuclear (nuclear)
Koelbl et al. (2014)koelbl2014uncertainty (CCS) Krey et al. (2014)krey2014getting Kriegler et al. (2014)kriegler2014role Luderer et al. (2014)luderer2014role (renewables) Rose et al. (2014)rose2014bioenergy (bioenergy) Tavoni et al. (2012)tavoni2012value |
Energy efficiency | Bibas et al. (2015)bibas2015energy | Sugiyama et al. (2014)sugiyama2014energy |
Fossil fuels | Rozenberg et al. (2010)rozenberg2010climate
Waisman et al. (2012)waisman2012peak Waisman et al. (2013a)waisman2013monetary |
Bauer et al. (2015)bauer2015co
MCCollum et al. (2014)mccollum2014fossil |
Transport | Waisman et al. (2013b)waisman2013transportation | |
Macroeconomy | Crassous et al. (2006)crassous2006endogenous (endogenous structural change)
Guivarch et al. (2011)guivarch2011costs (labor markets) |
|
Evaluation of model | Guivarch et al. (2009)guivarch2009resilience (backcasting) | Kriegler et al. (2015b)kriegler2015diagnostic (diagnostics) |
Scenarios | Guivarch and Mathy (2012)guivarch2012energy
Hamdi-Cherif et al. (2011)hamdi2011sectoral Mathy and Guivarch (2010)mathy2010climate Rozenberg et al. (2014)rozenberg2014building Waisman et al. (2014)waisman2014sustainability |
Blanford et al. (2014)blanford2014harmonization
Kriegler et al. (2015)kriegler2015making Luderer et al. (2012a)luderer2012regional Luderer et al. (2012b)luderer2012economics Riahi et al. (2015)riahi2015locked |
Template:InstitutionTextTemplate
formula:
math>y=2+x</math
where: