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://www.transitionmonitor.com/).
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_c…¹ lei sector techn…² produ…³ year produ…⁴ emiss…⁵ count…⁶ #> <chr> <chr> <chr> <chr> <chr> <chr> <int> <dbl> <dbl> <chr> #> 1 1 aba hyd… 8360… power hydroc… MW 2013 133340. NA DM #> 2 1 aba hyd… 8360… power hydroc… MW 2014 131582. NA DM #> 3 1 aba hyd… 8360… power hydroc… MW 2015 129824. NA DM #> 4 1 aba hyd… 8360… power hydroc… MW 2016 128065. NA DM #> 5 1 aba hyd… 8360… power hydroc… MW 2017 126307. NA DM #> 6 1 aba hyd… 8360… power hydroc… MW 2018 124549. NA DM #> # … with 4 more variables: plant_location <chr>, is_ultimate_owner <lgl>, #> # abcd_timestamp <chr>, emission_factor_unit <chr>, and abbreviated variable #> # names ¹name_company, ²technology, ³production_unit, ⁴production, #> # ⁵emission_factor, ⁶country_of_domicile