Socio-economic drivers - COFFEE-TEA: Difference between revisions

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[[File:SSP2 pop.png|thumb|SSP2 population]]
The TEA model relies on the [https://tntcat.iiasa.ac.at/SspV2Preview/dsd?Action=htmlpage&page=10#v2 Shared Socioeconomic Pathways (SSPs) database] as a reference for the economic growth scernarios. Most applications are based on the GDP projections of the SSP2 scenario[[CiteRef::dellink2017]][[CiteRef::fricko2017]]. In the baseline, Total-Factor Productivity (TFP) is endogenoulsy target to meet the GDP. Labor supply follows SSP2 population growth rates[[CiteRef::kc2017]]. Land productivity is assumed to increase exogenously, but no increase is assumed for labor and capital productivity. Demand for goods and services grows as income and yield increase. Baseline additional adjustments (structural changes) in long-term demand were made when necessary, usually, based on estimated curves relating GDP per capita and demand share. For instance, the shares of food and agriculture goods in final demand were adjusted to capture long-term structural changes in preferences.


The TEA model relies on the [https://tntcat.iiasa.ac.at/SspV2Preview/dsd?Action=htmlpage&page=10#v2 Shared Socioeconomic Pathways (SSPs) database] as a reference for the demographic scernarios. Most applications are based on the population projections of the SSP2 scenario[[CiteRef::kc2017]].
Socio-economic drivers are exogenous to the TEA model. The model relies on the [https://tntcat.iiasa.ac.at/SspV2Preview/dsd?Action=htmlpage&page=10#v2 Shared Socioeconomic Pathways (SSPs) database] as a reference for the economic growth scernarios. Most applications are based on the GDP projections of the SSP2 scenario[[CiteRef::dellink2017]][[CiteRef::fricko2017]] (<xr id="fig:TEA_fig1"/>).
 
<figure id="fig:TEA_fig1">
[[File:SSP2 GDP.png|450px|thumb|SSP2 GDP growth]]
</figure>
 
The TEA model relies on the [https://tntcat.iiasa.ac.at/SspV2Preview/dsd?Action=htmlpage&page=10#v2 Shared Socioeconomic Pathways (SSPs) database] as a reference for the demographic scernarios. Most applications are based on the population projections of the SSP2 scenario[[CiteRef::kc2017]] (<xr id="fig:TEA_fig2"/>).
 
<figure id="fig:TEA_fig2">
[[File:SSP2 pop.png|450px|thumb|SSP2 population projection]]
</figure>


[[File:SSP2 GDP.png|thumb|SSP2 GDP growth]]
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Revision as of 21:11, 18 December 2018

Socio-economic drivers are exogenous to the TEA model. The model relies on the Shared Socioeconomic Pathways (SSPs) database as a reference for the economic growth scernarios. Most applications are based on the GDP projections of the SSP2 scenariodellink2017fricko2017 (<xr id="fig:TEA_fig1"/>).

<figure id="fig:TEA_fig1">

SSP2 GDP growth

</figure>

The TEA model relies on the Shared Socioeconomic Pathways (SSPs) database as a reference for the demographic scernarios. Most applications are based on the population projections of the SSP2 scenariokc2017 (<xr id="fig:TEA_fig2"/>).

<figure id="fig:TEA_fig2">

SSP2 population projection

</figure>

Alert-warning.png Note: The documentation of COFFEE-TEA is 'under review' and is not yet 'published'!

Model Documentation - COFFEE-TEA

Corresponding documentation
Previous versions
Model information
Model link
    Institution COPPE/UFRJ (Cenergia), Brazil, http://www.cenergialab.coppe.ufrj.br/.
    Solution concept General equilibrium (closed economy)
    Solution method The COFFEE model is solved through Linear Programming (LP). The TEA model is formulated as a mixed complementary problem (MCP) and is solved through Mathematical Programming System for General Equilibrium -- MPSGE within GAMS using the PATH solver.
    Anticipation
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