The Drivers module provides data on drivers that are used by several other modules. It mainly aggregates inputs related to population and GDP. If an input is required in one module or realization only, the input driver is provided directly by the module that demands it, rather than by the 09_drivers module.
| Description | Unit | |
|---|---|---|
| im_demography (t_all, iso, sex, age) |
Population by groups | \(10^6/yr\) |
| im_development_state (t_all, i) |
Development state according to the World Bank definition where 0=low income country 1=high income country in high income level | \(1\) |
| im_gdp_pc_mer (t_all, i) |
Per capita income in market exchange rates | \(USD_{05MER}/cap/yr\) |
| im_gdp_pc_mer_iso (t_all, iso) |
Income in market exchange rates | \(10^6 USD_{05MER}/yr\) |
| im_gdp_pc_ppp_iso (t_all, iso) |
Per capita income in purchasing power parity | \(USD_{05PPP}/cap/yr\) |
| im_physical_inactivity (t_all, iso, sex, age) |
Share of population which is physically inactive | \(1\) |
| im_pop (t_all, i) |
Population | \(10^6/yr\) |
| im_pop_iso (t_all, iso) |
Population | \(10^6/yr\) |
| sm_fix_cc | year until which all parameters affected by cc are fixed to historical values | \(year\) |
| sm_fix_SSP2 | year until which all parameters are fixed to SSP2 values | \(year\) |
In the aug17 realization, inputs are taken into the module and are directly delivered to the modules that require the data.
GDP per capita for ISO countries
Limitations There are no known limitations.
| Description | Unit | A | |
|---|---|---|---|
| f09_demography (t_all, iso, demography_scen09, sex, age) |
Population | \(10^6 capita/yr\) | x |
| f09_development_state (t_all, i, pop_gdp_scen09) |
Development state according to the World Bank definition where 0=low income country 1=high income country in high income level | \(1\) | x |
| f09_gdp_mer_iso (t_all, iso, pop_gdp_scen09) |
Income in market exchange rates | \(10^6 USD_{05MER}/yr\) | x |
| f09_gdp_ppp_iso (t_all, iso, pop_gdp_scen09) |
Income in purchasing power parity | \(10^6 USD_{05PPP}/yr\) | x |
| f09_physical_inactivity (t_all, iso, pal_scen09, sex, age) |
Share of population which is physically inactive | \(1\) | x |
| f09_pop_iso (t_all, iso, pop_gdp_scen09) |
Population | \(10^6 capita/yr\) | x |
| i09_gdp_mer_iso (t_all, iso) |
Income in market exchange rates | \(10^6 USD_{05MER}/yr\) | x |
| i09_gdp_mer_raw (t_all, i, pop_gdp_scen09) |
Income in market exchange rates | \(10^6 USD_{05MER}/yr\) | x |
| i09_gdp_pc_mer_iso_raw (t_all, iso, pop_gdp_scen09) |
Per capita income in market exchange rates | \(USD_{05MER}/cap/yr\) | x |
| i09_gdp_pc_mer_raw (t_all, i, pop_gdp_scen09) |
Per capita income in market exchange rates | \(USD_{05MER}/cap/yr\) | x |
| i09_gdp_pc_ppp_iso_raw (t_all, iso, pop_gdp_scen09) |
Per capita income in purchasing power parity | \(USD_{05PPP}/cap/yr\) | x |
| i09_gdp_pc_ppp_raw (t_all, i, pop_gdp_scen09) |
Per capita income in purchasing power parity | \(USD_{05PPP}/cap/yr\) | x |
| i09_gdp_ppp_iso (t_all, iso) |
Income in purchasing power parity | \(10^6 USD_{05PPP}/yr\) | x |
| i09_gdp_ppp_raw (t_all, i, pop_gdp_scen09) |
Income in purchasing power parity | \(10^6 USD_{05PPP}/yr\) | x |
| i09_pop_raw (t_all, i, pop_gdp_scen09) |
Population | \(10^6/yr\) | x |
| description | |
|---|---|
| age | Population age groups |
| demography_scen09 | Demography scenario |
| i | all economic regions |
| i_to_iso(i, iso) | mapping regions to iso countries |
| iso | list of iso countries |
| pal_scen09 | Physical activity level scenario |
| pop_gdp_scen09 | Population and GDP scenario |
| pop_structure(demography_scen09, pop_gdp_scen09) | Mapping between demography and population scenarios |
| sex | Sex groups |
| t_all(t_ext) | 5-year time periods |
Benjamin Leon Bodirsky
12_interest_rate, 13_tc, 14_yields, 15_food, 18_residues, 22_land_conservation, 30_crop, 32_forestry, 34_urban, 35_natveg, 36_employment, 37_labor_prod, 38_factor_costs, 42_water_demand, 43_water_availability, 50_nr_soil_budget, 52_carbon, 55_awms, 56_ghg_policy, 57_maccs, 59_som, 60_bioenergy, 62_material, 70_livestock, 73_timber