Get top-down projections of Kaya variables for one or more countries or regions for a given year

Get top-down projections of Kaya variables for one or more countries or regions for a given year

project_top_down(region_name, year, quiet = FALSE, region_code = NULL)

Arguments

region_name

The name of a country or region to look up

year

The year to project to

quiet

Suppress warnings if there is no data for that country or region.

region_code

Optional three-letter country or region code to look up instead of the region_name

Value

a tibble of values for P, G, E, F, g, e, f, and ef

for each country or region:

region

The name of the country or region

year

The year

P

Population, in billions

G

Gross domestic product, in trillions of constant 2015 U.S. dollars.

E

Total primary energy consumption, in quads

F

CO2 emissions from fossil fuel consumption, in millions of metric tons

g

Per-capita GDP, in thousands of constant 2015 U.S. dollars per person.

e

Energy intensity of the economy, in quads per trillion dollars.

f

Emissions intensity of the energy supply, in million metric tons per quad.

ef

Emissions intensity of the economy, in metric tons per million dollars of GDP.

See also

regions

Examples

project_top_down("China", 2037)
#> # A tibble: 1 × 10
#>   region  year     P     G     g     E     F     e     f    ef
#>   <chr>  <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 China   2037  1.41  30.6  21.6  166. 9146.  5.42  55.2  299.
project_top_down(region_code = "VNM", year = 2043)
#> # A tibble: 1 × 10
#>   region   year     P     G     g     E     F     e     f    ef
#>   <chr>   <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 Vietnam  2043 0.118 0.773  6.53  5.45  317.  7.06  58.2  411.