target_sda | R Documentation |
This function calculates targets of CO2 emissions per unit production at the portfolio-level, otherwise referred to as "emissions factors". It uses the sectoral-decarbonization approach (SDA) to calculate these targets.
target_sda(
data,
abcd,
co2_intensity_scenario,
use_credit_limit = FALSE,
by_company = FALSE,
region_isos = r2dii.data::region_isos
)
data |
A dataframe like the output of
|
abcd |
An asset-level data frame like r2dii.data::abcd_demo. |
co2_intensity_scenario |
A scenario data frame like r2dii.data::co2_intensity_scenario_demo. |
use_credit_limit |
Logical vector of length 1. |
by_company |
Logical vector of length 1. |
region_isos |
A data frame like r2dii.data::region_isos (default). |
A tibble including the summarized columns emission_factor_metric
and
emission_factor_value
. If by_company = TRUE
, the output will also have
the column name_abcd
.
This function ignores existing groups and outputs ungrouped data.
Other functions to calculate scenario targets:
target_market_share()
library(r2dii.match)
library(r2dii.data)
loanbook <- head(loanbook_demo, 150)
abcd <- head(abcd_demo, 100)
matched <- loanbook %>%
match_name(abcd) %>%
prioritize()
# Calculate targets at portfolio level
matched %>%
target_sda(
abcd = abcd,
co2_intensity_scenario = co2_intensity_scenario_demo,
region_isos = region_isos_demo
)
# Calculate targets at company level
matched %>%
target_sda(
abcd = abcd,
co2_intensity_scenario = co2_intensity_scenario_demo,
region_isos = region_isos_demo,
by_company = TRUE
)
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