PACTA Outputs

match_name() output

The output of match_name() has the following columns:

column
typeof
definition
borderline
logical
indicates if the classification is borderline or not
id_2dii
character
an id used internally by match_name() to distinguish companies
id_direct_loantaker
character
Borrower identifier unique to each borrower/sector combination in loanbook
id_loan
character
Unique loan identifier
id_ultimate_parent
character
Ultimate parent identifier unique to each ultimate parent/sector combination
lei_direct_loantaker
character
Optional input: providing the lei (legal entity identifier) of the direct loan taker to improve the matching coverage
level
character
the level of granularity that the loan was matched at (e.g direct_loantaker or ultimate_parent)
name
character
the name of the loanbook company
name_abcd
character
the name of the abcd company
name_direct_loantaker
character
Name of the company directly taking the loan
name_ultimate_parent
character
Name of the ultimate parent company to which the borrower belongs. Can be the same as borrower
score
double
the score of the match (manually set this to 1 prior to calling prioritize() to validate the match)
sector
character
the sector of the loanbook company
sector_abcd
character
the sector of the abcd company
sector_classification_direct_loantaker
character
Sector classification code of the direct loantaker
sector_classification_system
character
Name of the sector classification standard being used
source
character
determines the source of the match. (equal to loanbook unless the match is from overwrite

prioritize() output

The output of prioritize() has the following columns:

column
typeof
definition
<join_id>
character
identifier used internally by `match_name()` to distinguish companies
borderline
logical
indicates if the classification is borderline or not
id_direct_loantaker
character
Borrower identifier unique to each borrower/sector combination in loanbook
id_loan
character
Unique loan identifier
id_ultimate_parent
character
Ultimate parent identifier unique to each ultimate parent/sector combination
level
character
the level of granularity that the loan was matched at (e.g direct_loantaker or ultimate_parent)
name
character
the name of the loanbook company
name_abcd
character
the name of the abcd company
name_direct_loantaker
character
Name of the company directly taking the loan
name_ultimate_parent
character
Name of the ultimate parent company to which the borrower belongs. Can be the same as borrower
score
double
the score of the match (manually set this to 1 prior to calling prioritize() to validate the match)
sector
character
the sector of the loanbook company
sector_abcd
character
the sector of the abcd company
sector_classification_direct_loantaker
character
Sector classification code of the direct loantaker
sector_classification_system
character
Name of the sector classification standard being used
source
character
determines the source of the match. (equal to loanbook unless the match is from overwrite

target_market_share() output

The output of target_market_share() has the following columns:

column
typeof
definition
metric
character
indicates if the production related values refer to the projected activities of the underlying counterparty, to the economy wide benchmark, or to allocated levels of activity based on the scenarios
percentage_of_initial_production_by_scope
double
relative change compared to the start value (by scope). Used for displaying the change in activity over time on a common scale
production
double
company level production of the technology
region
character
the region to which the pathway is relevant
scenario_source
character
the source publication from which the scenario was taken
scope
character
indicates if the targets for the given technology have been calculated based on the TMSR (technology) or the SMSP (sector). High-carbon technologies that need to decrease have their targets calculated on the technology level, whereas low-carbon technologies that need to increase have them calculated on the sector level
sector
character
the sector of the abcd company
technology
character
technology implemented by the asset
technology_share
double
the share of the 'production' the given 'technology' relative to all technologies of the corresponding 'sector' for the given combination of 'group_id', 'region', 'year' and 'metric'
year
double
the year at which the pathway value is prescribed

The {pacta.loanbook} package provides a demo target_market_share() output dataset market_share.

market_share
#> # A tibble: 802 × 10
#>    sector     technology  year region scenario_source metric     production technology_share scope  percentage_of_initial_production_by_scope
#>    <chr>      <chr>      <int> <chr>  <chr>           <chr>           <dbl>            <dbl> <chr>                                      <dbl>
#>  1 automotive electric    2020 global demo_2020       projected     324592.           0.0759 sector                                   0      
#>  2 automotive electric    2020 global demo_2020       target_cps    324592.           0.0759 sector                                   0      
#>  3 automotive electric    2020 global demo_2020       target_sds    324592.           0.0759 sector                                   0      
#>  4 automotive electric    2020 global demo_2020       target_sps    324592.           0.0759 sector                                   0      
#>  5 automotive electric    2021 global demo_2020       projected     339656.           0.0786 sector                                   0.00352
#>  6 automotive electric    2021 global demo_2020       target_cps    329191.           0.0744 sector                                   0.00108
#>  7 automotive electric    2021 global demo_2020       target_sds    352505.           0.0809 sector                                   0.00653
#>  8 automotive electric    2021 global demo_2020       target_sps    330435.           0.0747 sector                                   0.00137
#>  9 automotive electric    2022 global demo_2020       projected     354720.           0.0813 sector                                   0.00705
#> 10 automotive electric    2022 global demo_2020       target_cps    333693.           0.0730 sector                                   0.00213
#> # ℹ 792 more rows

target_sda() output

The output of target_sda() has the following columns:

column
typeof
definition
emission_factor_metric
character
indicates if the emission intensity related values refer to the projected activities of the underlying counterparty, to the economy wide benchmark, or to allocated levels of activity based on the scenarios
emission_factor_value
double
the physical emission intensity level of the given 'emission_factor_metric'
region
character
the region to which the pathway is relevant
scenario_source
character
the source publication from which the scenario was taken
sector
character
the sector of the abcd company
year
double
the year at which the pathway value is prescribed

The {pacta.loanbook} package provides a demo target_sda() output dataset sda.

sda
#> # A tibble: 110 × 6
#>    sector  year region             scenario_source emission_factor_metric emission_factor_value
#>    <chr>  <dbl> <chr>              <chr>           <chr>                                  <dbl>
#>  1 cement  2020 advanced economies demo_2020       projected                             0.0230
#>  2 cement  2020 developing asia    demo_2020       projected                             0.0595
#>  3 cement  2020 global             demo_2020       projected                             0.664 
#>  4 cement  2021 advanced economies demo_2020       projected                             0.0232
#>  5 cement  2021 developing asia    demo_2020       projected                             0.0594
#>  6 cement  2021 global             demo_2020       projected                             0.665 
#>  7 cement  2022 advanced economies demo_2020       projected                             0.0233
#>  8 cement  2022 developing asia    demo_2020       projected                             0.0592
#>  9 cement  2022 global             demo_2020       projected                             0.666 
#> 10 cement  2023 advanced economies demo_2020       projected                             0.0235
#> # ℹ 100 more rows

prep_techmix() output

The output of prep_techmix() has the following columns:

column
typeof
definition
label
character
Same as 'metric', formatted for display in plot
label_tech
character
Same as 'technology', formatted for display in plot
metric
character
Indicates if the production-related values refer to the projected activities of the underlying counterparty, to the economy wide benchmark, or to allocated levels of activity based on the scenarios
percentage_of_initial_production_by_scope
double
Relative change compared to the start value (by scope). Used for displaying the change in activity over time on a common scale
production
double
The production level of the given 'metric'
region
character
The region for which the analysis has been run. Indicates which production assets have been considered and which scenario region is used
scenario_source
character
The publication the scenario data is based on
scope
character
Indicates if the targets for the given technology have been calculated based on the TMSR (technology) or the SMSP (sector). High-carbon technologies that need to decrease have their targets calculated on the technology level, whereas low-carbon technologies that need to increase have them calculated on the sector level
sector
character
The sector of the technology
technology
character
The technology
technology_share
double
The share of the given 'technology' relative to all technologies of the corresponding 'sector' in terms of 'production', for the given combination of 'group_id', 'region', 'year' and 'metric'
value
double
Same as 'technology_share', formatted for display in plot
year
integer
The year of the data

prep_emission_intensity() output

The output of prep_emission_intensity() has the following columns:

column
typeof
definition
emission_factor_metric
character
Indicates if the emission intensity related values refer to the projected activities of the underlying counterparty, to the economy wide benchmark, or to allocated levels of activity based on the scenarios
emission_factor_value
double
The physical emission intensity level of the given 'emission_factor_metric'
label
character
Same as 'emission_factor_metric', formatted for display in plot
region
character
The region for which the analysis has been run. Indicates which production assets have been considered and which scenario region is used
scenario_source
character
The publication the scenario data is based on
sector
character
The sector of the technology
year
double
The year of the data

prep_trajectory() output

The output of prep_trajectory() has the following columns:

column
typeof
definition
label
character
Same as 'metric', formatted for display in plot
metric
character
Indicates if the production-related values refer to the projected activities of the underlying counterparty, to the economy wide benchmark, or to allocated levels of activity based on the scenarios
percentage_of_initial_production_by_scope
double
Relative change compared to the start value (by scope). Used for displaying the change in activity over time on a common scale
production
double
The production level of the given 'metric'
region
character
The region for which the analysis has been run. Indicates which production assets have been considered and which scenario region is used
scenario_source
character
The publication the scenario data is based on
scope
character
Indicates if the targets for the given technology have been calculated based on the TMSR (technology) or the SMSP (sector). High-carbon technologies that need to decrease have their targets calculated on the technology level, whereas low-carbon technologies that need to increase have them calculated on the sector level
sector
character
The sector of the technology
technology
character
The technology
technology_share
double
The share of the given 'technology' relative to all technologies of the corresponding 'sector' in terms of 'production', for the given combination of 'group_id', 'region', 'year' and 'metric'
value
double
Same as 'percentage_of_initial_production_by_scope', for display in plot
year
integer
The year of the data