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Greenhouse gas emission footprints (in CO2 equivalent, FIGARO application) (env_ac_ghgfp)

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Reference Metadata in Euro SDMX Metadata Structure (ESMS)

Compiling agency: European Commission (including Eurostat)

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This metadata file refers to seven datasets on greenhouse gas emission footprints.:

  1. Greenhouse gas emission footprints (in CO2 equivalent, FIGARO application) (env_ac_ghgfp);
  2. Carbon dioxide emission footprints (FIGARO application) (env_ac_co2fp);
  3. Methane emission footprints (CH4 in CO2 equivalent, FIGARO application) (env_ac_ch4fp);
  4. Nitrous oxide emission footprints (N2O in CO2 equivalent, FIGARO application) (env_ac_n2ofp);
  5. Hydrofluorocarbon emission footprints (HFC in CO2 equivalent, FIGARO application) (env_ac_hfcfp);
  6. Perfluorocarbon emission footprints (PFC in CO2 equivalent, FIGARO application) (env_ac_pfcfp);
  7. Nitrogen trifluoride and sulphur hexafluoride emission footprints (NF3-SF6 in CO2 equivalent, FIGARO application) (env_ac_nf3sf6fp).

The seven datasets have the same data structure and only differ in the gas concerned.

The datasets presents modelling estimates of air emissions ‘embodied’ in products (goods and services) for final demand – also referred to as ‘footprints’. The estimates are the result of environmental input-output modelling and cover the entire world economy.

The greenhouse gas emission footprint is a measure of emissions along the full production chain of a product that ends up in the EU as final consumption or investment. These emissions are sometimes referred to as emissions ‘embodied’ in EU consumption, although they are not literally included in the final products, and these products are not only consumed, but may also be investment goods.

Air emission footprints offer a complementary perspective to greenhouse gas inventories and air emissions accounts. The latter two record emissions on the production side, at the origin of the emissions. In contrast, air emission footprints are estimated from the perspective of the final product and where it is consumed, and are therefore also referred to as consumption-based accounts. The distinction between the three perspectives is further described in Eurostat’s page on emissions of greenhouse gases and air pollutants.

The model estimations are based on two main source datasets (see 18.1 for more detail):

  • FIGARO inter-country input-output tables (ICIOT's);
  • Air emissions accounts (for European countries) and Eurostat estimates of air emissions (for non-European countries).

Each dataset reports air emissions re-attributed to the final demand of products for:

  • 46 geographical entities of origin;
  • 46 geographical entities of destination;
  • 5 categories of final consumption;
  • 2010 to two years before the current year (t – 2);
  • using the NACE rev. 2 classification.

within the ESA 2010 framework.

27 January 2026

The model estimations are based on two datasets:

  1. Air emissions accounts: A specific physical accounting framework which presents air emissions by emitting industries (NACE classified) and private households, following the concepts and definitions of national accounts. See also the System of Environmental-Economic Accounting (SEEA). Air emissions comprise greenhouse gases and other air pollutants. See also the air emissions accounts metadata. For compiling the air emission footprints, Eurostat has estimated air emissions for non-European countries, i.e. those not available from Eurostat air emissions accounts (see methodology in this website). The air emissions used as input to the model are actually implicit in the footprint dataset, since the emission totals remain the same and these are simply attributed to different categories of final demand. To obtain the annual air emissions used as input to the model, broken down by country and economic activity where emissions take place, one just needs to filter the year [TIME], country of origin [C_ORIG] and economic activity [NACE_R2] and select the total for each of the remaining dimensions.
  2. FIGARO inter-country input-output tables: the methodology underlying the FIGARO tables corresponds to the ‘European Systems of Accounts 2010’ (ESA 2010). This specific accounting framework in national accounts portrays the production and consumption activities of a given economy in a comprehensive way (e.g. which products are produced by which industry, and who uses it?). See also the metadata of the EU inter-country supply, use and input-output tables ESA 2010.

These two data sets are integrated using so-called Leontief or input-output modelling techniques. Conceptually, the air emissions 'embodied' in products for final demand include emissions along the entire production chain of the respective product. The production chains (better production 'networks') are increasingly globalised for most of the products for final demand in the EU. Hence, the 'embodied' emissions may result from production activities within the EU economy, as well as from production activities in the rest of the world economy.

Data refer to emissions directly and indirectly caused by final demand for products by national residents in the sense of SEEA CF 2012 and national accounts (ESA).

Not applicable, because the data are modelling estimates.

This dataset presents data for the world economy.

The data refer to the calendar year.

The data is modelled and the underlying assumptions and modelling techniques are transparent (see above item 10.6). However, the various modelling assumptions do result in higher margins of error compared to air emission inventories and air emissions accounts.

Concerning the input data to the model, accuracy varies depending on the country. The air emissions by non-European countries are estimated by Eurostat since air emissions accounts are only available for EU Member States and few other European countries. These estimates have a lower accuracy than the emissions obtained from air emissions accounts, which are reported to Eurostat by national statistical offices.

The other input to the model are FIGARO inter-country input-output tables. These are benchmarked to the latest macroeconomic main aggregates. However, to fit national input-output tables into inter-country input-tables covering the entire world economy, some modelling assumptions are necessary, namely to balance trade asymmetries.
Overall, the results should be interpreted cautiously, particularly at the most detailed level.

The air emissions are presented is thousand tonnes. For other pollutants than CO2, the unit is thousand tonnes of CO2-equivalent. The Global Warming Potentials (GWP) applied for the conversion are available in section 3.2 of the metadata of air emissions accounts.

The results are obtained with environmentally-extended input–output modelling, see '10.6'.

For information on the input data compilation see the air emissions accounts metadata and the methodology page of ESA supply, use and input-output tables.

The input data for the modelling are:

1) Air emissions accounts produced and disseminated by Eurostat.

    For the geographical entities not covered in air emissions accounts (namely non-European countries), Eurostat produces own estimates (methodological note).

2) FIGARO inter-country input-output tables

Data are disseminated annually in October and revised in January of the following year, to align with the most recent air emissions accounts.

Eurostat intends to disseminate the results about two years after the latest reference year ended.

Geographical coverage includes 46 geographical entities. The model applies the same method to all countries. On the other hand, the air emissions by non-European countries (input to the model) are estimated by Eurostat since air emissions accounts are only available for EU Member States and few other European countries. This should result in a lower accuracy of emissions emitted by non-European countries (i.e. country of origin is outside Europe) compared to emissions emitted in countries submitting air emissions accounts to Eurostat (i.e. country of origin is in Europe).

The comparability over time is good because the same method and data sources are applied to all reference years and the figures are re-estimated for the complete time-series each year.