Economic activity - COFFEE-TEA
The TEA 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 scenario12. In the baseline, Total-Factor Productivity (TFP) is endogenoulsy target to meet the GDP. Labor supply follows SSP2 population growth rates3. 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.
|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.|
- Rob Dellink, Jean Chateau, Elisa Lanzi, Bertrand Magné (2017). Long-term economic growth projections in the Shared Socioeconomic Pathways. Global Environmental Change, 42 (), 200 - 214. http://dx.doi.org/https://doi.org/10.1016/j.gloenvcha.2015.06.004 |
- Oliver Fricko, Petr Havlik, Joeri Rogelj, Zbigniew Klimont, Mykola Gusti, Nils Johnson, Peter Kolp, Manfred Strubegger, Hugo Valin, Markus Amann, others (2017). The marker quantification of the Shared Socioeconomic Pathway 2: A middle-of-the-road scenario for the 21st century. Global Environmental Change, 42 (), 251 - 267. http://dx.doi.org/https://doi.org/10.1016/j.gloenvcha.2016.06.004 |
- Samir KC, Wolfgang Lutz (2017). The human core of the shared socioeconomic pathways: Population scenarios by age, sex and level of education for all countries to 2100. Global Environmental Change, 42 (), 181 - 192. http://dx.doi.org/https://doi.org/10.1016/j.gloenvcha.2014.06.004 |