Model scope and methods - IMACLIM: Difference between revisions
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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. | 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 relative references categorized as follows: | |||
# References describing the structure and results obtained with the Imaclim-R Global model | # 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 | # References to models comparison exercises in which Imaclim-R Global model has participated | ||
The references are presented in accordence to the above categorisation. References corresponding to the first two categories are also listed in the | The references are presented in accordence to the above categorisation. References corresponding to the first two categories are also listed in the <xr id="tab:example"/> below. | ||
<figtable id="tab:example"> | |||
{| class="wikitable" | {| class="wikitable" | ||
|+<caption>Articles describing IMACLIM and MCP's in which it has been involved</caption> | |||
|width="33%"| | |width="33%"| | ||
|width="33%"|Description of Imaclim-R structure and results | |width="33%"|Description of Imaclim-R structure and results | ||
Revision as of 14:59, 17 October 2016
| Corresponding documentation | |
|---|---|
| Previous versions | |
| Model information | |
| Model link | |
| Institution | Centre international de recherche sur l'environnement et le développement (CIRED), France, http://www.centre-cired.fr., Societe de Mathematiques Appliquees et de Sciences Humaines (SMASH), France, http://www.smash.fr. |
| Solution concept | General equilibrium (closed economy) |
| Solution method | SimulationImaclim-R is implemented in Scilab, and uses the fonction fsolve from a shared C++ library to solve the static equilibrium system of non-linear equations. |
| Anticipation | Recursive dynamics: each year the equilibrium is solved (system of non-linear equations), in between two years parameters to the equilibrium evolve according to specified functions. |
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 relative references 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 are presented in accordence to the above categorisation. References corresponding to the first two categories are also listed in the <xr id="tab:example"/> below.
<figtable id="tab:example">
| 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 |