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

National Reference Metadata in Single Integrated Metadata Structure (SIMS)

Compiling agency: Statistisches Bundesamt


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 (including footnotes)
 



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1. Contact Top
1.1. Contact organisation

Statistisches Bundesamt

1.2. Contact organisation unit

G24 Physical Environmental-Economic Accounts

1.5. Contact mail address

Statistisches Bundesamt

Gustav-Stresemann-Ring 11

65189 Wiesbaden


2. Metadata update Top
2.1. Metadata last certified 29/09/2020
2.2. Metadata last posted 16/01/2024
2.3. Metadata last update 16/01/2024


3. Statistical presentation Top
3.1. Data description

Air emissions accounts (AEA) record flows of gaseous and particulate materials emitted into the atmosphere as a result of economic activity.

AEA are a subset of environmental-economic accounts. They offer a detailed breakdown for 64 emitting economic activities (NACE), plus households, as defined in the national accounts of EU countries. They are aligned with economic statistics and GDP. These features make them suitable for integrated environmental-economic analyses and modelling – for example of 'carbon footprints' and climate-change modelling scenarios.

National Statistical Institutes (NSI) submit AEA to Eurostat through a mandatory annual data collection. The data collection includes an electronic questionnaire and this quality report.

 

3.2. Classification system

The AEA dataset has the following dimensions:

1)           Air pollutant: Emissions to air of the following gaseous and particulate substances are collected (greenhouse gases, air pollutants):

Carbon dioxide without emissions from biomass (CO2),

Carbon dioxide from biomass (Biomass CO2)*,

Nitrous 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)

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

3)           Economic activities: include 64 sectors of economic activity (classified by NACE rev.2 A*64), and households’ consumption (3 sub-classes).

4)           Time: reference year for which air emissions are reported

5)           Unit: tonnes and thousand tonnes

3.3. Coverage - sector

The data refer to national economies as defined in the system of national accounts. Greenhouse gases and air pollutants emitted by resident units representing the national economy are covered.

3.4. Statistical concepts and definitions

Conceptually AEA belong to the international system of environmental economic accounting (SEEA-Central Framework). Furthermore, AEA is one of several physical modules of Eurostat's programme on European environmental economic accounts. It is covered by Regulation (EU) No.691/2011 on European environmental economic accounts.

AEA are closely related to concepts and definitions of national accounts. Most notably, they follow the residence principle, i.e. they record emissions related to resident unit's activities, regardless where those occur geographically. Emissions are reported separately for private households and several sectors of economic activity.

Further methodological guidelines are provided in various publications by Eurostat (see Eurostat website > Environment > Methodology, heading: 'Air emissions accounts').

3.5. Statistical unit

Data refer to emissions by resident economic units in the sense of SEEA CF 2012 and National Accounts (ESA), i.e. different sectors of economic activities and private 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

2000-2021

3.9. Base period

Not applicable because AEA are not reported as indices.


4. Unit of measure Top

The unit of measure is tonnes or thousand tonnes.

F-gases (HFC, PFC, SF6 and NF3) are reported in tonnes of CO2 equivalents.

SOX are reported in tonnes of SO2 equivalents, and NOX are reported in tonnes of NO2 equivalents.


5. Reference Period Top

The data refer to calendar years.


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

Air emissions accounts (AEA) are legally covered by Regulation (EU) 691/2011on European Environmental Economic Accounts.

On national level, compilation of Environmental-Economic Accounts in Germany is covered by the Federal Statistics Law, §1 and §3 Section 1 Number 13.

6.2. Institutional Mandate - data sharing

Not applicable at national level.


7. Confidentiality Top
7.1. Confidentiality - policy

Not relevant because aggregated data are used for compilation only.

7.2. Confidentiality - data treatment

Not applicable.


8. Release policy Top
8.1. Release calendar

There exists a release calendar accessible by the statistical offices of the Federation and the Länder. Data are published annually on September 30.

8.2. Release calendar access

Release calendar is not publicly accessible.

8.3. Release policy - user access

Data are published annually at the same date (September 30) on our webpage. Data are accessible for all users at the same time.


9. Frequency of dissemination Top

Data are disseminated annually.


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

Currently, we do not publish press releases related to Air Emission Accounts regularly.

10.2. Dissemination format - Publications

Results are published until September 30 via our database "GENESIS-Online" (cf. 10.3),

summary tables and figures via www.destatis.de/DE/Themen/Gesellschaft-Umwelt/Umwelt/UGR/energiefluesse-emissionen /_inhalt.html.

10.3. Dissemination format - online database

AEA data can be accessed via our online data base "GENESIS-Online" (www-genesis.destatis.de), code 85111.

10.3.1. Data tables - consultations

Data on number of consultations of our data tables are not available.

10.4. Dissemination format - microdata access

Not applicable because we use aggregated data only.

10.5. Dissemination format - other

Not applicable.

10.5.1. Metadata - consultations

Data on number of consultations of our metadata are not available.

10.6. Documentation on methodology

The compilation method of German Air Emission Accounts is described in:

Methode der Luftemissionsrechnung, Statistisches Bundesamt 2019

https://www.destatis.de/DE/Themen/Gesellschaft-Umwelt/Umwelt/UGR/energiefluesse-emissionen/Publikationen/Downloads/methode-luftemissionsrechnung-5851317199004.pdf

(German only).

10.6.1. Metadata completeness - rate

Our methodological description covers the whole production process of German Air Emission Accounts.

10.7. Quality management - documentation

There exists a methodological description (cf. 10.6) for Air Emission Accounts and a quality report for Environmental-Economic Accounting.


11. Quality management Top

The Federal Statistical Office uses EFQM as quality management system. Within Environmental-Economic Accounts, we ensure data quality by cross-checking with internal and external reference data. We implement our quality management according to the European Statistics Code of Practice, cf. https://www.destatis.de/EN/Methods/Quality/QualityReports/code-practice.pdf

11.1. Quality assurance

During the compilation process, we do cross-checks with internal and external reference data. Furthermore, we ensure that our results are compatible with benchmark values from German UNFCCC reporting by the German Federal Environmental Agency. Major parts of our compilation process are automated to ensure a stable data production.

11.2. Quality management - assessment

In general, the compilation of Air Emission Accounts runs in a stable routine. We estimate that the majority of results is high quality. For some parts, e.g. the service sector or heating of small-scale users like e.g. workshops, we use auxiliary data to distribute an aggregate benchmark value. Data quality significantly depends on the auxiliary data used. Any of the auxiliary data has its advantages and drawbacks, e.g. in case we use production values it may be possible that the real physical emission of gases does not correlate perfectly with these monetary values. This can occur in particular for the service sector, where Eurostat requires reporting of data that is even more disaggregated than our national publications.

We ensure internal coherence of our results by using the same data sources for the whole reporting period as fas as possible. External compatibility with UNFCCC data is guaranteed as we use German UNFCCC reporting data as our main data source.


12. Relevance Top
12.1. Relevance - User Needs

12.2. Relevance - User Satisfaction

We determine user satisfaction by observing the incoming user inquiries carefully. Meetings and congresses are held at irregular intervals with selected users. Here we explain our procedures and present our publications.

12.3. Completeness

The data are available for mandatory delivery periods. One exception is data on the bridging item “National fishing vessels operating abroad”, in spite of real effort we did not succeed in filling in this position. Our main data source does not provide this information and we could not develop any procedure to differentiate the bridging items accordingly.

12.3.1. Data completeness - rate

Not applicable; To ensure comparability, this will be calculated and provided by EUROSTAT in the European quality report using a standardised method.


13. Accuracy Top

Most information used is based on national official statistics (e.g. UNCCC reporting by the German Environmental Agency, ESA production values, energy accounts, vehicle mileage of residents from the German Federal Motor Transport Authority) or other scientific sources (TREMOD data on emissions from road transport). Thus, AEA data mostly has the same quality standards as the underlying (official) statistics. For the underlying data based on national statistics, information about their quality can be obtained from their quality reports.

 

13.1. Accuracy - overall

See Annex 1.



Annexes:
Annex 1
13.2. Sampling error

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

13.2.1. Sampling error - indicators

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

13.3. Non-sampling error

Not applicable.

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

Time lag is normally 21 months. Timeliness majorly depends on the availability of our data sources.

14.1. Timeliness

21 months.

14.1.1. Time lag - first result

21 months.

14.1.2. Time lag - final result

21 months.

14.2. Punctuality

Due to stable compilation procedures, there is usually no time lag.

 

14.2.1. Punctuality - delivery and publication

No time lag.


15. Coherence and comparability Top
15.1. Comparability - geographical

AEA are compiled according to harmonised guidelines provided by Eurostat and hence comparable across European countries reporting AEA to Eurostat.

15.1.1. Asymmetry for mirror flow statistics - coefficient

Not applicable.

15.2. Comparability - over time

See Annex 2.



Annexes:
Annex 2
15.2.1. Length of comparable time series

Not applicable; To ensure comparability, this will be calculated and provided by EUROSTAT in the European quality report using a standardised method.

15.3. Coherence - cross domain

We ensure coherence with UNFCCC reporting by using these data as our main data source. Furthermore, we use energy accounts data for cross-checking within Environmental-Economic Accounts.

Air Emission Accounts are part of Environmental-Economic Accounts. Their aim is to provide a complete, coherent overall picture of the relations between environment and economy.To this end, we refer to specific concepts like e.g. the residence principle. This implies that AEA overall sums are not 100% compatible with other data on air emissions by intention. However, the connection to other concepts is made clear by reporting several bridging items.

Since 2022 our national publication is also structured according to sectors of economic activity (NACE). In previous national publications there were used homogeneous production branches (CPA) instead, which had limited comparability. Since PEFA has also converted its classification to NACE in 2023, comparability is guaranteed.

15.3.1. Coherence - sub annual and annual statistics

Not applicable, because AEA data are annual.

15.3.2. Coherence - National Accounts

Air Emission Accounts are consistent with the European System of Accounts (ESA).

15.4. Coherence - internal

For a given year, internal coherence is ensured by careful data compilation and cross-checking. For time series, there may occur breaks due to methodological developments, cf. Annex 2.


16. Cost and Burden Top

No burden for respondents as we do not conduct a survey. Personnel costs arise for research on data sources, methodological development and for the compilation of results. Efficiency of the compilation process has been increased recently by automatting major parts of the calculation.

 


17. Data revision Top
17.1. Data revision - policy

We do not publish preliminary data. We revise the whole time series annually, by using revised sources.

17.2. Data revision - practice

We revise the whole time series annually, by using revised sources. Revised data are published simultaneously with data on the most recent year, i.e. on September 30.

This year the comparison with the previous publications shows larger deviations in the breakdown by economic sectors, as major revisions in manufacturing and in trade in services were taken over from PEFA.

17.2.1. Data revision - average size

Not applicable; To ensure comparability, this will be calculated and provided by EUROSTAT in the European quality report using a standardised method.


18. Statistical processing Top
18.1. Source data

For compilation of AEA, we use data from various accounting  systems and from energy balances:

  • Zentrales System Emissionen (ZSE) provided by Umweltbundesamt used for UNCCC
  • Transport Emission Model (TREMOD) provided by ifeu-Institut, Heidelberg
  • Input-output-data from national accounts, physical energy flow accounts produced by the Federal Statistical Office
  • national energy balances provided by AGEB (Working Group on Energy Balances)

Survey data or administrative registers are not used as input for production of AEA.

18.2. Frequency of data collection

annual

18.3. Data collection

Collection and processing of aggregated statistical data from different internal and external sources (cf. 18.1).

18.4. Data validation

We validate our data through comparisons with the previous year, checking of time series consistency and cross-checks with internal and external reference data, e.g. other modules of the environmental economic accounts. Furthermore, we ensure that our results are compatible with benchmark values from German UNFCCC reporting by the German Federal Environmental Agency. Finally, we use validation routines provided by Eurostat.

18.5. Data compilation

not applicable.

18.5.1. Imputation - rate

Not applicable.

18.5.2. Method used to allocate emissions to economic activities

We use the information in the ZSE-Database which serves for German UNFCCC reporting provided by the Umweltbundesamt as main data source. For a major part of emissions, this information is sufficient for allocating emission amounts to economic sectors, as the database contains emission amounts from specific production processes which we can clearly assign to a certain economic sector. For the remaining part of emissions, we have to spread them across several NACE codes using complementary information from our national energy balance and from energy statistics and from national accounts (cf. 18.1).

Recently, the ZSE database offers more detailed information on process-related emissions, with which we have been able to improve the assignment to NACE. This resulted in major revisions compared to earlier versions.

18.5.3. Method used to determine and distribute road transport emissions

The main source is the Transport Emission Model (TREMOD) provided by ifeu-Institut, Heidelberg.

The Transport model (national concept) is calculated according to vehicle types, fuel types and Information of private or the branch of commercial vehicle owners.
We applied a new calculation method from reporting year 2017 onwards. The new model is no longer based on the vehicle fleet but on detailed data on the mileage and energy consumption of 39 industrial sectors (based on NACE classification) and private households in Germany from TREMOD.

The model contains 12 vehicle types and 8 types of fuel.
Based on the production values, the 39 commercial branches are further split into 72 sectors. For the derivation of the data according to the residence concept, key figures of the residents' mileage are used separately with respect to vehicle type as well as gasoline and diesel vehicles.The Federal Motor Transport Authority (KBA) publishes the statistics "Traffic in kilometers" annually starting from 2014 (determination of residents' mileage based on data from the main inspections of vehicles). The average fuel consumption of the vehicles from TREMOD is used to calculate the energy consumption of residents. The method now is based on consumption and not on sales. We calculate now domestic consumption and consumption by residents. The associated emissions result from the corresponding factors.

The new method guarantees a harmonization of the emission calculation with the Physical Energy Flow Accounts (PEFA), because the data source has been unified.

18.5.4. Adjustments for residence principle

Aviation: on basis of an extra processing of transport statistics by airlines (domestic, foreign) and own estimates.

Sea transport: on basis of monetary data on bunkering and data on domestic bunkering by ships (in a breakdown of national and foreign ships).

Land transport: see 18.5.3.

18.6. Adjustment

Not applicable.

18.6.1. Seasonal adjustment

Not applicable.


19. Comment Top


Related metadata Top


Annexes Top
AEA Annex 1: Low data quality
Annex 2