Fake co2 intensity climate scenario dataset, prepared for the software PACTA (Paris Agreement Capital Transition Assessment). It imitates climate scenario data (e.g. from the International Energy Agency (IEA)) including the change through time in production across industrial sectors (calculated by 2DII).
Demo datasets are synthetic because most financial data is strictly private; they help to demonstrate and test the implementation in R of 'PACTA' (https://2degrees-investing.org/resource/pacta/).
An object of class
tbl_df (inherits from
data.frame) with 22 rows and 7 columns.
emission_factor (double): The target sector level emissions factor that the scenario prescribes.
emission_factor_unit (character): The units that the emissions factor is measured in.
region (character): The region to which the pathway is relevant.
scenario (character): The name of the scenario.
scenario_source (character): The source publication from which the scenario was taken.
sector (character): The sector to which the scenario prescribes a pathway.
year (integer): The year at which the pathway value is prescribed.
head(co2_intensity_scenario_demo)#> # A tibble: 6 × 7 #> scenario_source scenario sector region year emission_factor_… emission_factor #> <chr> <chr> <chr> <chr> <dbl> <chr> <dbl> #> 1 demo_2020 demo cement global 2020 tonnes of CO2 pe… 0.7 #> 2 demo_2020 demo cement global 2021 tonnes of CO2 pe… 0.64 #> 3 demo_2020 demo cement global 2022 tonnes of CO2 pe… 0.58 #> 4 demo_2020 demo cement global 2023 tonnes of CO2 pe… 0.52 #> 5 demo_2020 demo cement global 2024 tonnes of CO2 pe… 0.46 #> 6 demo_2020 demo cement global 2025 tonnes of CO2 pe… 0.4