Air emissions accounts by NACE Rev. 2 activity (env_ac_ainah_r2)

Reference Metadata in Single Integrated Metadata Structure (SIMS)

Compiling agency: Eurostat, the statistical office of the European Union.


Eurostat metadata
Reference metadata
1. Contact
2. Metadata update
3. Statistical presentation
4. Unit of measure
5. Reference Period
6. Institutional Mandate
7. Confidentiality
8. Release policy
9. Frequency of dissemination
10. Accessibility and clarity
11. Quality management
12. Relevance
13. Accuracy
14. Timeliness and punctuality
15. Coherence and comparability
16. Cost and Burden
17. Data revision
18. Statistical processing
19. Comment
Related Metadata
Annexes
Footnotes
National metadata



For any question on data and metadata, please contact: Eurostat user support

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1. Contact Top
1.1. Contact organisation

Eurostat, the statistical office of the European Union.

1.2. Contact organisation unit

E2: Environmental statistics and accounts; sustainable development

1.5. Contact mail address

2920 Luxembourg, LUXEMBOURG


2. Metadata update Top
2.1. Metadata last certified 21/12/2023
2.2. Metadata last posted 21/12/2023
2.3. Metadata last update 21/12/2023


3. Statistical presentation Top
3.1. Data description

This metadata refers to three datasets based on the data collection on air emissions accounts (AEA):

1. Air emissions accounts by NACE Rev. 2 activity [env_ac_ainah_r2]

This data set reports the emissions of greenhouse gases and air pollutants broken down by 64 industries (classified by NACE Rev. 2) plus households. Concepts and principles are the same as in national accounts. Complete data starts from reference year 2008.

2. Air emissions intensities by NACE Rev. 2 activity [env_ac_aeint_r2]

This data set presents intensity-ratios relating AEA emissions (see previous) to economic parameters (value added, production output) for 64 industries (classified by NACE Rev. 2).

3. Air emissions accounts totals bridging to emission inventory totals [env_ac_aibrid_r2]

This data set includes so-called bridging items showing the differences between the national totals as derived from two internationally established approaches/methods for reporting emissions of greenhouse gases and air pollutants:

a) Air emissions accounts (AEA), i.e. the dataset mentioned above under 1. The AEA national totals refer to the residents of the reporting country (so-called residence principle as established in national accounts).

b) National emission inventories, i.e. greenhouse gas inventories (providing emission data under the United Nations Framework Convention on Climate Change (UNFCCC)) and air pollutant inventories (providing emission data under the United Nations Economic Commission for Europe (UNECE), Convention on Long-range Transboundary Air Pollution (CLRTAP) and the EU National Emission Ceilings Directive (NEC). The national totals refer widely to the territory of the reporting country. The European Environment Agency (EEA) collects national inventories for greenhouse gases and other air pollutants and compiles the EU aggregates. Eurostat republishes the most relevant data from these inventories in [env_air_emis] and [env_air_gge].

The two methodologies are based on slightly different concepts and principles and the totals at national and EU level correspondingly differ. The bridging items explicitly present these differences.

4. Air emissions accounts related to road transport by NACE Rev. 2 activity [env_ac_ainah_rd]

This voluntary data set includes emissions of CO2, NOx, PM2.5, PM10 and NMVOC from road transport broken down by 64 industries (classified by NACE Rev. 2) plus households.

5. Air emissions accounts related to road transport - totals bridging to emission inventory totals [env_ac_aibrid_rd]

This data set includes so-called bridging items related to road transport showing the differences between the national totals as derived from two internationally established approaches/methods for reporting emissions of greenhouse gases and air pollutants. See also point 3. 

3.2. Classification system

The dataset air emissions accounts by NACE Rev. 2 activity [env_ac_ainah_r2] has five dimensions:

1) Air pollutant (AIRPOL): Data 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 < 10μm (PM10), Particulate matter < 2,5μm (PM2,5), Sulphur dioxide (SO2), Ammonia (NH3).

Various air pollutants are expressed in equivalents of another air pollutant: 

CH4 in CO2 equivalents (CH4_CO2E)

N2O in CO2 equivalentes (N2O_CO2E)    

HFC in CO2 equivalents (HFC_CO2E)

PFC in CO2 equivalents (PFC_CO2E)

SF6 and NF3 in CO2 equivalents (NF3_SF6_CO2E)

 NH3 in SO2 equivalents (NH3_SO2E)     

 SOX in SO2 equivalents (SOX_SO2E)

 NOX in SO2 equivalents (NOX_SO2E)     

 NOX in NO2 equivalents (NOX_NO2E)     

 

 CO in NMVOC equivalents (CO_NMVOCE)

 CH4 in NMVOC equivalents (CH4_NMVOCE)

 NOx in NMVOC equivalents (NOX_NMVOCE)

The air pollutants expressed in equivalents of other air pollutants allow for computation of the following environmental pressures:

 

Environmental pressure Code Calculation
Global warming potential

Applied factors: N2O: 265; CH4: 28

GHG CO2 + N2O in COeq. + CH4  in CO2 eq.+HFC in COeq. + PFC in COeq. + NF3 in COeq. + SF6 in COeq.
Acidifying gases

Applied factors: NH3:1.9; NOx:0.7

ACG SOin SO2 eq. + NOX in SO2 eq. + NH3 in SO2 eq.
Tropospheric ozone precursors

Applied factors: NOx:1.22; CO: 0.11; CH4:0.014

O3PR NMVOC + NOX in NMVOC eq + CO in NMVOC eq. + CH4 in NMVOC eq. 

*CO2 emissions from biomass combustion are treated as a separate substance. Hence the AEA totals for the ordinary COemissions do not include any CO2 emissions from biomass combustion.

2) Geopolitical entity (GEO): EU Member States, EFTA Countries, Candidate Countries.

3) Classification of economic activities - NACE rev.2 (NACE_R2): Data are collected and published broken down by NACE classification of economic activities. The aggregation level used is A*64 (i.e. 64 branches), fully compatible with ESA supply, use and input-output tables. Emissions by households are also included.

4) Period of time (TIME): Data are annual.

5) Unit (UNIT): The air emissions are measured in tonnes and thousand tonnes, as well as grams per capita, and kilograms per capita.

 

The data set air emissions intensities by NACE Rev. 2 activity [env_ac_aeint_r2] has six dimensions:

1) Air pollutant (AIRPOL): see above.

2) Geopolitical entity (GEO): see above.

3) Classification of economic activities - NACE rev.2 (NACE_R2): see above; note that households are not included.

4) Period of time (TIME): see above.

5) Unit (UNIT): The intensity-ratios are presented in four units, namely 'grams per euro in current prices', 'grams per euro in chain linked volumes (2010)', 'kilograms per euro in current prices', and 'kilogram per euro in chain linked volumes (2010)'.

6) National accounts indicator (ESA 2010) (NA_ITEM): Specifies the economic parameter to calculate the intensity-ratio, either gross value added or production output.

 

The data set air emissions accounts totals bridging to emission inventory totals [env_ac_aibrid_r2] has 5 dimensions:

1) Air pollutant (AIRPOL): see above.

2) Geopolitical entity (GEO): see above.

3) Environment indicator (INDIC_NV): this dimension accommodates the bridging items reconciling the differences between the air emissions accounts totals and those totals reported in national emission inventories for greenhouse gases (UNFCCC) and air pollutants (CLRTAP).

4) Period of time (TIME): see above.

5) Unit (UNIT): the national totals and the bridging items are presented in tonnes and thousand tonnes as well as grams per capita, and kilograms per capita.

 

The data set Air emissions accounts related to road transport by NACE Rev. 2 activity [env_ac_ainah_rd] has 5 dimensions:

1) Air pollutant (AIRPOL): Data are collected on the emissions of the following pollutants: Carbon dioxide without emissions from biomass (CO2), Nitrogen oxides (NOx), Non-methane volatile organic compounds, (NMVOC), Particulate matter < 10μm (PM10), Particulate matter < 2,5μm (PM2,5).

2) Geopolitical entity (GEO): EU Member States, EFTA Countries, Candidate Countries.

3) Classification of economic activities - NACE rev.2 (NACE_R2): Data are collected and published broken down by NACE classification of economic activities. The aggregation level used is A*64 (i.e. 64 branches), fully compatible with ESA supply, use and input-output tables. Emissions by households are also included.

4) Period of time (TIME): Data are annual.

5) Unit (UNIT): The air emissions are measured in tonnes and thousand tonnes, as well as grams per capita, and kilograms per capita.

 

The data set  Air emissions accounts related to road transport - totals bridging to emission inventory totals [env_ac_aibrid_rd] has 5 dimensions:

1) Air pollutant (AIRPOL): see above.

2) Geopolitical entity (GEO): see above.

3) Environment indicator (INDIC_NV): this dimension accommodates the bridging items reconciling the differences between the air emissions accounts totals and those totals reported in national emission inventories for greenhouse gases (UNFCCC) and air pollutants (CLRTAP).

4) Period of time (TIME): see above.

5) Unit (UNIT): the national totals and the bridging items are presented in tonnes and thousand tonnes as well as grams per capita, and kilograms per capita.

3.3. Coverage - sector

Greenhouse gases and air pollutants emitted by the entire national economy are covered.

3.4. Statistical concepts and definitions

Air Emissions Accounts record the flows of residual gaseous and particulate materials emitted by resident units and flowing into the atmosphere.

Residual gaseous and particulate materials are the physical flows of gaseous or particulate materials (‘air emissions’).

Air emissions accounts record emissions arising from the activities of all resident units (=economic activities), regardless of where these emissions actually occur geographically. Air emissions accounts have the same system boundaries as ESA and are also based on the residence principle.

Natural flows of residual gaseous and particulate materials are excluded e.g. volcanos, forest fires. Also excluded are air emissions arising from land use, land use changes and forestry as well as any indirect emissions.

The concepts and definitions used in the Air Emissions Accounts are set out in the SEEA CF 2012, see annex.



Annexes:
Methodology (including SEEA CF 2012)
3.5. Statistical unit

Data refer to emissions by resident economic units in the sense of SEEA CF 2012 and National Accounts (ESA), including households.

3.6. Statistical population

The national economy is as defined in SEEA CF 2012 and National Accounts (ESA), i.e. all economic activities undertaken by resident units.

3.7. Reference area

The reference area is the economic territory as defined in SEEA CF 2012 and National Accounts (ESA). A unit is said to be a resident unit of a country when it has a centre of economic interest in the economic territory of that country, that is, when it engages for an extended period (1 year or more) in economic activities in that territory.

By following this residence principle, the Air Emission Accounts record emissions from resident units' activities, regardless where they occur. This is the main conceptual difference to emission inventories for greenhouse gases (UNFCCC) and air pollutants (CLRTAP).

3.8. Coverage - Time

Data are annual. In NACE rev. 2 breakdown complete time series are available since 2008. For some countries longer time series are available.

For greenhouse gases (GHG) Eurostat estimates AEA for one additional year beyond the mandatory reporting (year n-1, being n the year of the AEA data collection) for EU Member States and the aggregated EU. For the detailed methodology and results see the Note on Eurostat's procedure for early estimates of greenhouse gases (GHG) and the Assessment of early estimates for reference year 2020 in Annex. 
 


Annexes:
Eurostat's procedure for early estimates of greenhouse gases (GHG)
AEA - Assessment of early estimates for reference year 2020
3.9. Base period

Not applicable.


4. Unit of measure Top

The air emissions [env_ac_ainah_r2], [env_ac_ainah_rd]and the bridging items [env_ac_aibrid_r2], [env_ac_aibrid_rd] are presented in tonnes and thousand tonnes, as well as grams per capita and kilograms per capita.

Air emissions intensities [env_ac_aeint_r2] are presented in grams per euro and kilograms per euro.


5. Reference Period Top

The data refer to the calendar year.


6. Institutional Mandate Top
6.1. Institutional Mandate - legal acts and other agreements

AEA are legally covered by Regulation (EC) No. 691/2011 on European environmental economic accounts (EEEA). EEEA currently include six modules (air emissions accounts, environmentally related taxes by economic activity, economy-wide material flow accounts, environmental protection expenditure accounts, environmental goods and services sector accounts, and physical energy flow accounts).

The EEEA are fully in accordance with internationally agreed concepts and definitions set out in the system of environmental economic accounting 2012 – central framework (SEEA CF 2012, see annex). The SEEA CF is a multi-purpose conceptual framework to report the interactions between the environment and the economy.

EEEA present environmental information in a way that is fully compatible with National Accounts.

6.2. Institutional Mandate - data sharing

Not applicable.


7. Confidentiality Top
7.1. Confidentiality - policy

Regulation (EC) No 223/2009 on European statistics (recital 24 and Article 20(4)) of 11 March 2009 (OJ L 87, p. 164), stipulates the need to establish common principles and guidelines ensuring the confidentiality of data used for the production of European statistics and the access to those confidential data with due account for technical developments and the requirements of users in a democratic society.

7.2. Confidentiality - data treatment

Confidential data are flagged "confidential" and not published. Aggregates of confidential data respect Eurostat confidentiality rules.


8. Release policy Top
8.1. Release calendar

Data are published as planned in the release calendar of Eurostat: https://ec.europa.eu/eurostat/news/release-calendar?start=1702854000000&type=dayGridWeek

 

8.2. Release calendar access

Data are published as planned in the release calendar of Eurostat: https://ec.europa.eu/eurostat/news/release-calendar?start=1702854000000&type=dayGridWeek

8.3. Release policy - user access

In line with the Community legal framework and the European Statistics Code of Practice Eurostat disseminates European statistics on Eurostat's website (see item 10 - 'Accessibility and clarity') respecting professional independence and in an objective, professional and transparent manner in which all users are treated equitably. The detailed arrangements are governed by the Eurostat protocol on impartial access to Eurostat data for users.

Data are disseminated simultaneously to all interested parties through a database update and on Eurostat's website.


9. Frequency of dissemination Top

Data are disseminated annually.


10. Accessibility and clarity Top
10.1. Dissemination format - News release

The data are accompanied by a news item.

10.2. Dissemination format - Publications

Statistics Explained articles:

http://ec.europa.eu/eurostat/statistics-explained/index.php/Greenhouse_gas_emissions_by_industries_and_households
http://ec.europa.eu/eurostat/statistics-explained/index.php/Air_pollution_by_industries_and_households

https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Industrial_emission_statistics

10.3. Dissemination format - online database

The online database is available free of charge here:

http://ec.europa.eu/eurostat/data/database

10.3.1. Data tables - consultations

Consultations of Eurostat online database 'EUROBASE' – data sets

This quality performance indicator presents the number of consultations of online data sets taking into account the following parameters:

- DATASETS = 'env_ac_ainah_r2', 'env_ac_aibrid_r2', 'env_ac_aeint_r2'

- REFERENCE PERIOD = 2020, 2021 and 2022 monthly

 

 

 

10.4. Dissemination format - microdata access

Not applicable.

10.5. Dissemination format - other

Not applicable.

10.5.1. Metadata - consultations

Consultations of Eurostat online database 'EUROBASE' - metadata

This quality performance indicator presents the number of consultations of online metadata taking into account the following parameters:

- METADATA = 'ENV_AC_AINAH_R2.htm'

- REFERENCE PERIOD =  2022 monthly

 

  

 

10.6. Documentation on methodology

Information is available on Eurostat's website.

 

10.6.1. Metadata completeness - rate

Metadata completeness - rate

This quality performance indicator presents the ‘ratio of completeness’ by country. It is defined as the number of metadata elements provided by countries in relation to the total number of metadata elements applicable.

The following parameters are taken into account:

- GEO = EU, Member States

- REFERENCE PERIOD =  2023 data collection cycle

- DEADLINE = 30 September 2023 (metadata received)

- INDIC  = National metadata file (SIMS)

- Ratio of completeness = number of metadata elements provided / total number of metadata elements applicable

The total number of metadata elements applicable include the following:

- Statistical outputs concepts - 2, 3, 4, 7.1, 8, 9

- Statistical processes concepts - 5, 6, 7.2, 17, 18

- Quality concepts - 10-16

Metadata completeness rate is 100%.

10.7. Quality management - documentation

Member States provide quality reports, according to Regulation 691/2011, article 7.


11. Quality management Top
11.1. Quality assurance

To ensure quality of the data Eurostat implements the following procedures/guidelines:

1) Methodological guidelines to assist countries in compiling AEA.

2) Extensive validation procedure of the data based on agreed validation rules

3) Gap-filling of missing statistical information (see also point 18.5).

11.2. Quality management - assessment

Quality management is good. Validation procedures, estimation of missing statistical data (gap-filling) and quality reporting are in place. The Environmental Accounts Working Group, encompassing representatives of all Member States, Eurostat and other stakeholders, discusses quality improvements.

Because Air Emission Accounts are a relatively recent data collection (started in 2013 according to Regulation 691/2011) improvements in the next years are realistic. Areas for improvement include reporting of bridging items, coverage of certain pollutants and industries, etc.


12. Relevance Top
12.1. Relevance - User Needs

Air emissions are relevant for monitoring the interaction between the economy and the environment, in particular in a context of global climate change. Air emission accounts data are also used in modelling, including carbon footprint.

The relevance of air emission accounts is enhanced by using a conceptual framework consistent with National Accounts, which allows, e.g. to put in relation with estimates of production, value added, employment, GDP, etc.

The users include policy makers in environmental ministries, environmental organisations, students and interested citizens.

 

12.2. Relevance - User Satisfaction

There are no systematic studies of user satisfaction. Eurostat has regular hearings with European policymakers and contacts with the research community and other stakeholders to monitor the relevance of the statistics produced and identify new priorities.

12.3. Completeness

Data are complete, meaning they encompass all the sectors of the economy. Data for all Member States are available, as well as some EFTA countries and EU candidate countries. In case of missing data (pollutants, years, NACE sectors), Eurostat estimates the missing information for 13 pollutants and for years starting with 2008. Data sets related to road transport emisisons are voluntary.

12.3.1. Data completeness - rate

Data completeness rate, in %

This quality performance indicator presents data completeness rates by geographical entity taking into account the following parameters:

- GEO = EU, Member States

- AIRPOL = CO2

-  NACE_R2 = TOTAL_HH and bridging items

- REFERENCE PERIOD = 5 legally mandatory reference years (2023 data collection)

Remarks:

- Indicator completeness rate =  reported legally mandatory cells / expected mandatory cells

- The range of expected cells encompasses data points for which countries must deliver numeric values based on legal base.

 

 Number of reported         mandatory cells:    
 
Countries:                   
Default cells of the questionnaire
CO2_NACE_HH items
Default cells of the questionnaire
CO2_bridging items
First delivery of questionnaire (deadline: 30 September)
CO2_NACE_HH items
 First delivery of questionnaire (deadline: 30 September)
CO2_bridging items
Finally validated questionnaire
CO2_NACE_HH items
Finally validated questionnaire
CO2_bridging items
 
 Data completeness rate of the first delivered questionnaire
CO2_NACE_HH items
Data completeness rate of the first delivered questionnaire
CO2_bridging items
 
Data completeness rate of the finally validated questionnaire
CO2_NACE_HH items
Data completeness rate of the finally validated questionnaire
CO2_bridging items
EU- Average completeness rate 405 55 404 53 404 52 100 96 100 95
Austria 405 55 400 55 400 55 99 100 99 100
Belgium  405 55 405 55 405 55 100 100 100 100
Bulgaria  405 55 405 55 405 55 100 100 100 100
Cyprus 405 55 405 55 405 55 100 100 100 100
Czechia 405 55 405 55 405 45 100 100 100 82
Germany  405 55 405 55 405 55 100 100 100 100
Denmark 405 55 405 55 405 40 100 100 100 73
Estonia 405 55 405 55 405 55 100 100 100 100
Greece 405 55 405 55 405 55 100 100 100 100
Spain 405 55 400 55 400 55 99 100 99 100
Finland 405 55 405 55 405 55 100 100 100 100
France 405 55 405 45 405 45 100 82 100 82
Croatia 405 55 400 55 400 55 99 100 99 100
Hungary 405 55 405 55 405 55 100 100 100 100
Ireland 405 55 405 30 405 30 100 55 100 55
Italy 405 55 405 55 405 55 100 100 100 100
Lithuania 405 55 400 55 400 55 99 100 99 100
Luxembourg 405 55 405 55 405 55 100 100 100 100
Latvia 405 55 405 55 405 55 100 100 100 100
Malta 405 55 405 55 405 55 100 100 100 100
Netherlands 405 55 400 55 400 55 99 100 99 100
Poland 405 55 405 55 405 55 100 100 100 100
Portugal 405 55 400 55 400 55 99 100 99 100
Romania 405 55 405 25 405 40 100 45 100 73
Sweden 405 55 405 55 405 55 100 100 100 100
Slovenia 405 55 405 55 405 55 100 100 100 100
Slovakia 405 55 405 55 405 55 100 100 100 100

  


13. Accuracy Top
13.1. Accuracy - overall

The overall accuracy is considered to be good.

13.2. Sampling error

Not applicable to statistical accounts.

13.2.1. Sampling error - indicators

Not applicable because data are not based on a sample survey.

13.3. Non-sampling error

Not applicable to statistical accounts.

13.3.1. Coverage error

Not applicable.

13.3.1.1. Over-coverage - rate

Not applicable.

13.3.1.2. Common units - proportion

Not applicable.

13.3.2. Measurement error

Not applicable.

13.3.3. Non response error

Not applicable.

13.3.3.1. Unit non-response - rate

Not applicable.

13.3.3.2. Item non-response - rate

Not applicable.

13.3.4. Processing error

Not applicable.

13.3.5. Model assumption error

Not applicable.


14. Timeliness and punctuality Top
14.1. Timeliness

Every year Member States transmit data to Eurostat about the previous reference year by 30 September i.e., with a timeliness of T+21 months. After validation Eurostat publishes the data around December (i.e. T+24m).

14.1.1. Time lag - first result

Not applicable.

14.1.2. Time lag - final result

Not applicable.

14.2. Punctuality

Deadline of data delivery is 30 September. 

14.2.1. Punctuality - delivery and publication

Punctuality of data delivery by country and Eurostat data dissemination

This quality performance indicator presents several metrics related to the punctuality of data delivery and publication taking into account the following parameters:

- GEO = EU, Member States

- REFERENCE PERIOD = 2023 data collection

- DEADLINE FOR DELIVERY = 30 September 2023

- DATE OF DATA DISSEMINATION = 21 December 2023

 

Countries Punctuality of delivery Questionnaire for validation with country

Questionnaire for validation with Eurostat

(& contractors)

                       of which: days

after 30 Sep

Duration of validation - overall Punctuality of Eurostat data dissemination
   calendar days after the deadline  calendar days before the deadline  working days  working days  working days  working days

 number of working days between

finishing of validation and dissemination

EU (average) 0 6 9 20 15 29 34
Austria 0 3 3 14 11 17 44
Belgium 0 1 10 20 19 30 29
Bulgaria 0 2 6 19 17 25 35
Croatia 0 1 16 14 13 30 29
Cyprus 0 2 11 17 15 28 32
Czechia 0 1 18 26 25 44 15
Denmark 0 0 12 28 28 40 18
Estonia 0 4 6 12 8 18 44
Finland 0 1 5 19 18 24 35
France 0 4 8 19 15 27 35
Germany 0 30 16 33 11 49 31
Greece 0 3 5 26 23 31 30
Hungary 0 26 5 23 3 28 50
Ireland 0 5 2 11 6 13 50
Italy 0 2 26 11 9 37 23
Latvia 0 2 4 21 19 25 35
Lithuania 2 0 22 21 22 43 15
Luxembourg 0 1 4 20 19 24 35
Malta 0 29 11 33 12 44 35
Netherlands 0 1 12 30 29 42 17
Poland 0 4 6 43 39 49 13
Portugal 0 4 1 5 1 6 56
Romania 0 1 7 5 4 12 47
Slovakia 0 2 2 11 9 13 47
Slovenia 0 12 7 30 20 37 31
Spain  0 8 2 12 6 14 50
Sweden 0 4 9 20 16 29 33

 

 


15. Coherence and comparability Top
15.1. Comparability - geographical

The comparability across countries is good due to clear statistical concepts and definitions.

15.1.1. Asymmetry for mirror flow statistics - coefficient

Not applicable.

15.2. Comparability - over time

The comparability over time is good due to clear statistical concepts and definitions. 

15.2.1. Length of comparable time series

Length of comparable time series

This quality performance indicator presents the number of ‘breaks in time series’ taking into account the following parameters:

- GEO = EU Member States

- INDIC_ENV = Air pollutants; NACE Rev. 2 activity

- COUNTING BREAKS IN SERIES = number of b) flag

- REFERENCE PERIOD =  up from 2008

mandatory reference years

 - non-mandatory reference years 

 

 

reference year:

collection cycle (publication date):

   2008         2009   2010   2011          2012         2013    2014          2015         2016          2017          2018         2019         2020         2021      

2022 data collection (published in December 2022) 

        1 'DE' 2 'SK'           130 'PL'    

2023 data collection (published in December 2023)

4 'DE' 7 'CY'; 4 'DE' 6 'DE'; 1 'SK'   4 'DE' 2 'DE'; 18 'SK' 3 'DE' 14 'DE'   2 'DE'       216 'IT' 

 

Comparing two most recent data collection cycles: the number of b)-flag has increased between the 2022 and 2023 data collection cycles due to the changes in methodology, especially related to the figures for Italy.

 

 

15.3. Coherence - cross domain

The data are coherent with principles, definitions and concepts in National Accounts (ESA - European System of Accounts) and Environmental Accounting (SEEA - System of Environmental-Economic Accounting).

It is important that air emissions accounts (AEA) and physical energy flow accounts (PEFA) employ the same groupings of elementary economic units (NACE Rev. 2 activities) as the ESA supply and use tables. This coherence is important with regards to integrated analyses – e.g. applying Leontief-type input-output analysis.

As an overarching general rule AEA and PEFA must apply exactly the same demarcation of productive activities (NACE Rev. 2 activities) as employed for the compilation of the monetary supply and use tables delivered to Eurostat under the ESA transmission programme. Compilers of AEA and PEFA are advised to contact and align with compilers of ESA supply and use tables with the aim to ensure highest coherence between AEA, PEFA and ESA supply and use tables.

However, it has to be noted that this coherence is not always fully provided.

15.3.1. Coherence - sub annual and annual statistics

Not applicable; reported AEA data are only annual.

15.3.2. Coherence - National Accounts

The reported AEA data is consistent with ESA.

15.4. Coherence - internal

The internal coherence is very high, ensured by the accounting framework.


16. Cost and Burden Top

Depending on the level of automatisation the costs and burden range from 5 to 40 person-days per country and 40 person-days for Eurostat.


17. Data revision Top
17.1. Data revision - policy

To further specify the general Eurostat revision policy, the following revision policy has been established:

Every year Eurostat publishes the complete time series, which may lead to revisions of data previously published. Data are not revised in between annual releases. During first months after the first data release revisions may be possible. The datasets are frozen afterwards, usually in March.

17.2. Data revision - practice

Every year the AEA questionnaire requests the entire time series. If air emission data are revised by countries, it is done for the complete time series.

Reported errors are assessed for seriousness to determine whether they should trigger a correction of already disseminated data. Reported errors are corrected in the disseminated data as soon as the correct data have been validated.

New data are only used to update disseminated data if provided according to the provision schedule set by Eurostat, or in the case of reported errors.

17.2.1. Data revision - average size

Average absolute size of 'AEMIS_RES' revisions by country and year

This quality performance indicator presents the average size of revisions for one important AEA indicator, namely 'AEMIS_RES'. The following parameters are taken into account:

- GEO = EU, Member States

- INDIC_ENV = AEMIS_RES

- AIRPOL = CO2

- UNIT = Thousand tonnes

- Number of data collection cycles: 11

Remarks:

- For each reference year (columns in below table), the absolute revision size for AEMIS_RES is calculated between two consecutive collection cycles. This is done for each data collection cycle. Then, the average is calculated over the number of data collection cycles.

- Note that for reference year 2016 the average is built on five data collection cycles. For reference year 2017 the average is built on four data collection cycles and so on.

 

                                                       reference year:

Countries:                         

     2008      2009      2010      2011      2012      2013      2014      2015      2016      2017      2018      2019  2020      2021
EU (average) 1 137 1 062 1 213 1 232 1 180 1 065 1 083 981 1 344 1 583 1 594 1 924 2 219 3 082
Austria 224 412 302 372 1 059 1 172 1 633 778 1 604 1 467 1 205 570 572 1 229
Belgium 1 183 1 067 1 558 1 875 1 555 930 628 970 1 015 1 130 912 896 2 918 150
Bulgaria 233 223 195 184 210 208 232 308 343 425 521 638 599 391
Croatia 129 115 104 134 177 118 100 100 225 147 106 134 310 1 069
Cyprus 84 59 59 90 23 17 28 29 68 43 51 89 109 65
Czechia 494 469 460 517 643 1 040 1 060 782 1 535 926 687 3 331 2 826 417
Denmark 151 132 153 319 235 408 333 339 872 589 629 3 188 1 540 10 806
Estonia 288 279 371 306 350 371 359 424 465 414 470 476 243 238
Finland 485 319 297 244 173 173 200 203 308 321 70 198 667 96
France 5 373 5 114 4 787 5 209 6 019 4 541 4 665 4 973 5 590 6 123 8 470 8 445 14 860 27 041
Germany 4 520 3 637 3 825 3 867 1 528 1 778 2 210 1 203 3 026 7 422 5 880 9 836 16 214 10 685
Greece 1 930 1 857 1 899 1 867 2 013 1 494 1 343 1 464 1 789 2 421 3 650 5 509 1 479 433
Hungary 573 495 449 507 264 298 362 314 437 642 721 634 1 057 592
Ireland 363 259 2 719 2 823 3 030 1 185 1 409 996 1 443 1 000 1 335 43 598 425
Italy 3 555 2 907 3 589 3 230 2 993 1 886 2 090 1 881 4 945 3 047 985 1 688 1 836 9 631
Latvia 84 64 101 67 62 55 60 69 96 58 55 189 223 0
Lithuania 479 346 371 489 253 301 404 414 1 357 1 667 1 435 359 842 2 115
Luxembourg 13 13 26 51 29 45 18 41 63 19 40 132 10 358
Malta 235 313 453 328 337 385 460 259 307 473 655 689 53 57
Netherlands 2 172 2 276 2 252 2 357 2 467 2 718 2 834 3 339 1 227 587 637 1 823 1 289 86
Poland 2 153 1 911 2 569 2 080 1 730 3 755 2 733 1 083 2 720 6 755 5 826 5 303 230 5 080
Portugal 872 872 1 209 714 757 660 684 708 808 1 305 1 393 1 562 1 359 679
Romania 2 071 2 190 1 791 1 643 1 819 1 424 1 168 1 296 1 371 1 212 2 624 2 967 4 355 4 407
Slovakia 147 198 186 154 119 96 53 128 207 285 225 211 234 285
Slovenia 880 836 818 889 1 006 637 373 361 525 566 487 535 843 459
Spain 1 483 1 740 1 653 2 234 2 247 2 427 3 082 3 311 2 940 2 445 1 994 1 321 2 863 3 519
Sweden 518 559 546 704 749 644 727 726 996 1 240 1 975 1 187 1 778 2 899

 

Comparing three most recent data collection cycles: The data collection cycle 2023 shows less average absolute revisions of AEMIS_RES for CO2 than the previous data collection cycles.

 

 

 


18. Statistical processing Top
18.1. Source data

The main data sources are national emission inventories (UNFCCC/CLRTAP) and energy statistics/balances.

18.2. Frequency of data collection

Data are collected annually.

18.3. Data collection

AEA data collection is regulated by Regulation (EC) No. 691/2011 on European environmental economic accounts.

18.4. Data validation

Data are extensively checked via comprehensive validation procedure using IT. The validation rules can be found here: Validation rules for air emissions accounts 2023 data collection.

 More about data validation can be found here: http://ec.europa.eu/eurostat/data/data-validation and in point 11.1.
18.5. Data compilation

Eurostat estimates missing data for 13 pollutants (CO2, CH4, N2O, HFC, PFC, NF3_SF6, NOx, SOx, NH3, NMVOC, CO, PM10 and PM2.5) starting from year 2008 in order to compile EU aggregates. EU aggregates are derived bottom-up by summing up country values.

For greenhouse gases (GHG) Eurostat estimates AEA for one additional year beyond the mandatory reporting (year n-1, being n the year of the AEA data collection) for EU Member States and the aggregated EU. For the detailed methodology see the Note on Eurostat's procedure for early estimates of greenhouse gases (GHG) in Annex. 

18.5.1. Imputation - rate

Not applicable.

18.6. Adjustment

Not applicable.

18.6.1. Seasonal adjustment

Not applicable.


19. Comment Top

Not applicable.


Related metadata Top


Annexes Top
Methodology (including SEEA CF 2012)
Eurostat's procedure for early estimates of greenhouse gases (GHG)
AEA - Assessment of early estimates for reference year 2020


Footnotes Top