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Get air emissions accounts by NACE Rev. 2 activity for environmental impact assessments.


  airpol = "GHG",
  geo = "BE",
  year = 2020,
  unit = "THS_T",
  data_directory = NULL,
  force_download = TRUE



The code of the air pollutant. Defaults GHG. ACG, CH4, CH4_CO2E, CH4_NMVOCE, CO, CO2, CO2_BIO, CO_NMVOCE, GHG, HFC_CO2E, N2O, N2O_CO2E, NF3_SF6_CO2E, NH3, NH3_SO2E, NMVOC, NOX, NOX_NMVOCE, NOX_SO2E, O3PR, PFC_CO2E, PM10, PM2_5, SOX_SO2E.


The country code. The special value 'germany_1995' will return the replication dataset germany_airpol.


The year. The average employment will be created for the given year, starting with 2008, when the NACE Rev 2 was introduced in employment statistics.


Defaults to "THS_T" (thousand tons.)


Defaults to NULL, if a valid directory, it will try to save the pre-processed data file here with labelling.


Defaults to TRUE. If FALSE it will use the existing downloaded file in the data_directory or the temporary directory, if it exists.


A data.frame with auxiliary metadata to conform the symmetric input-output tables.


Currently tested only with product x product tables. The dataset air emissions accounts by NACE Rev. 2 activity [env_ac_ainah_r2] has five dimensions: The Air pollutant airpol variables are collected on the emissions of the following pollutants: carbon dioxide without emissions from biomass (CO2), carbon dioxide from biomass (Biomass CO2), nitroux oxide (N2O), methane (CH4), perfluorocarbons (PFCs), Hydrofluorocarbons (HFCs), sulphur hexafluoride (SF6) including nitrogen trifluoride (NF3), nitrogen oxides (NOx), Non-methane volatile organic compounds, (NMVOC), carbon monoxide (CO), Particulate matter smaller than 10 micrometre (PM10), Particulate matter smaller than 2,5 micrometre (PM2,5), Sulphur dioxide (SO2), Ammonia (NH3).

See Reference Metadata in Euro SDMX Metadata Structure (ESMS) for further details, particularly on the calculation of Global warming potential GHG, Acidifying gases ACG and Tropospheric ozone precursors O3PR.

See also


airpol_get(airpol = "CO2", geo="germany_1995", year = 1995, unit = "THS_T") 
#> # A tibble: 1 x 9
#>   indicator    agriculture_group industry_group construction trade_group
#>   <chr>                    <int>          <int>        <int>       <int>
#> 1 CO2_emission             10448         558327        11194       71269
#> # ... with 4 more variables: business_services_group <int>,
#> #   other_services_group <int>, final_consumption_households <int>,
#> #   output_bp <int>