An asset-based company dataset for demonstrationSource:
Fake data about physical assets (e.g. wind turbine power plant capacities), aggregated to company-level. These data are used to assess the climate alignment of financial portfolios. It imitates data from market-intelligence databases.
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/).
abcd_timestamp(character): Date at which asset data was sourced from the data provider.
company_id(character): The id of the company owning the asset created by the data provider.
country_of_domicile(character): Country where company is registered.
emission_factor(double): Company level emission factor of the technology.
emission_factor_unit(character): The units that the emission factor is measured in.
is_ultimate_owner(logical): Flag if company is the ultimate parent in our database.
lei(character): The legal entity identifier of the company owning the asset.
name_company(character): The name of the company owning the asset.
plant_location(character): Country where asset is located.
production(double): Company level production of the technology.
production_unit(character): The units that production is measured in.
sector(character): Sector to which the asset belongs.
technology(character): Technology implemented by the asset.
year(integer): Year at which the production value is predicted.
head(abcd_demo) #> # A tibble: 6 × 14 #> company_id name_company lei sector technology production_unit year #> <chr> <chr> <chr> <chr> <chr> <chr> <int> #> 1 1 aba hydropower gener… 8360… power hydrocap MW 2013 #> 2 1 aba hydropower gener… 8360… power hydrocap MW 2014 #> 3 1 aba hydropower gener… 8360… power hydrocap MW 2015 #> 4 1 aba hydropower gener… 8360… power hydrocap MW 2016 #> 5 1 aba hydropower gener… 8360… power hydrocap MW 2017 #> 6 1 aba hydropower gener… 8360… power hydrocap MW 2018 #> # … with 7 more variables: production <dbl>, emission_factor <dbl>, #> # country_of_domicile <chr>, plant_location <chr>, is_ultimate_owner <lgl>, #> # abcd_timestamp <chr>, emission_factor_unit <chr>