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Fake 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/).

Usage

scenario_demo_2020

Format

An object of class tbl_df (inherits from tbl, data.frame) with 1512 rows and 8 columns.

Definitions

  • 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.

  • smsp (double): Sector market share percentage of the pathway calculated in 2020.

  • technology (character): The technology within the sector to which the scenario prescribes a pathway.

  • tmsr (double): Technology market share ratio of the pathway calculated in 2020.

  • year (integer): The year at which the pathway value is prescribed.

Examples

head(scenario_demo_2020)
#> # A tibble: 6 × 8
#>   scenario sector     technology region  year  tmsr    smsp scenario_source
#>   <chr>    <chr>      <chr>      <chr>  <int> <dbl>   <dbl> <chr>          
#> 1 cps      automotive electric   global  2020  1    0       demo_2020      
#> 2 cps      automotive hybrid     global  2020  1    0       demo_2020      
#> 3 cps      automotive ice        global  2020  1    0       demo_2020      
#> 4 cps      automotive electric   global  2021  1.12 0.00108 demo_2020      
#> 5 cps      automotive hybrid     global  2021  1.12 0.0165  demo_2020      
#> 6 cps      automotive ice        global  2021  1.02 0.0188  demo_2020