Economic accounts for agriculture (aact)

National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS)

Compiling agency: Statistics Austria

Time Dimension: 2017-50

Data Provider: AT1

Data Flow: COSAEA_NEQ_5


Eurostat metadata
Reference metadata
1. Contact
2. Statistical presentation
3. Statistical processing
4. Quality management
5. Relevance
6. Accuracy and reliability
7. Timeliness and punctuality
8. Coherence and comparability
9. Accessibility and clarity
10. Cost and Burden
11. Confidentiality
12. Comment
Related Metadata
Annexes (including footnotes)
 



For any question on data and metadata, please contact: EUROPEAN STATISTICAL DATA SUPPORT

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1. Contact Top
1.1. Contact organisation

Statistics Austria

1.2. Contact organisation unit

Directorate Spatial Statistics

Agriculture and Forestry

1.5. Contact mail address

Statistics Austria

Directorate Spatial Statistics

Guglgasse 13

1110 Vienna

Austria


2. Statistical presentation Top
2.1. Data description

Main characteristics

2.1.1 Describe shortly the main characteristics of the statistics  

The Economic Accounts for Agriculture (EAA) provide detailed information on income in the agricultural sector. The purpose is to analyse the production process of the agricultural industry and the primary income generated by this production. The accounts are therefore based on the industry concept. The EAA accounts are detailed data on value of output (producer prices and basic prices), intermediate consumption, subsidies and taxes, consumption of fixed capital, rent and interests, capital formation etc. The values are in current as well as in constant prices. Agricultural Labour Input (ALI) and Unit Values (UV) are an integrated part of the overall concept of Economic Accounts for Agriculture.


Reference period

2.1.2 Reference period of the data collection 

2017

2.1.3 Is the reference period based on the calendar year starting January 1st and ending December 31st? Yes
2.1.4 If No, please specify


National legislation

2.1.5 Is there a national legislation covering these statistics?  No
If Yes, please answer all the following questions.  
2.1.6 Name of the national legislation 
2.1.7 Link to the national legislation 
2.1.8 Responsible organisation for the national legislation 
2.1.9 Year of entry into force of the national legislation 
2.1.10 Please indicate which variables required under EU regulation are not covered by national legislation, if any.
2.1.11 Please indicate which national definitions differ from those in the EU regulation, if any. 
2.1.12 Is there a legal obligation for respondents to reply? 


Additional comments on data description

The Economic Accounts for Agriculture are compiled on the basis of Regulation (EC) No. 138/2004 of the European Parliament and Council on the Economic Accounts for Agriculture in the Community as amended. There is no specific national regulation regarding EAA compilation. Agricultural and forestry accounts are, however, enumerated in Schedule II of the Federal Act on Federal Statistics (Federal Statistics Act 2000) BGBl. I No 163/1999 (as last amended by BGBl. I No 136/2001BGBl. I No 71/2003BGBl. I No 92/2007, BGBl. No 125/2009BGBl. I No 111/2010 and BGBl. I No 40/2014).

2.2. Classification system

The EAA is an integral part of the European system of accounts and therefore for their compilation the Eurostat's general classification of economic activities, NACE Rev. 2, is used.

2.3. Coverage - sector

EAA cover the Agricultural sector.

2.4. Statistical concepts and definitions

One of the principal objectives of the EAA is to measure agricultural income and changes therein.
The three agricultural income indicators can be described as follows:
Indicator A: index of the real income of factors in agriculture per AWU
Indicator B: index of real net agricultural entrepreneurial income, per non-salaried AWU
Indicator C: net entrepreneurial income of agriculture

2.5. Statistical unit

In order to analyse flows generated by the production process and the use of goods and services, it is necessary to select units which emphasise relationships of a technico-economic kind. This requirement means that as a rule institutional units must be partitioned into smaller and more homogeneous units with regard to the kind of production. Local kind-of-activity units (local KAUs) are intended to meet this requirement as a first but practically-oriented operational approach

2.6. Statistical population

The agricultural holding, which is the unit currently used for statistical studies of agriculture (censuses, surveys of the structure of agricultural holdings), is the local KAU most appropriate to the agricultural industry.In addition to agricultural holdings, the agricultural industry comprises units made up of groups of producers (e.g. cooperatives) which produce wine and olive oil and specialised units which provide machines, material and labour for the performance of contract work.

2.7. Reference area
2.7.1 Geographical area covered

The entire territory of the country.

2.7.2 Which special Member State territories are included?
2.8. Coverage - Time

1995-2017

2.9. Base period

Not applicable. The EAA regulation requires previous year prices and changes in volume measured by using the weightings for the preceding year.


3. Statistical processing Top
3.1. Source data

Overall summary

3.1.1 Total number of different data sources used

About 70

The compilation of the EAA is based on an extensive set of statistical data related to agriculture including detailed quantity and price data, administrative data on agricultural subsidies and accounting data from the Farm Accountancy Data Network (FADN). Most of its data sources stem from other statistical activities and are not collected exclusively for the EAA. Only for few items not covered by official data information is collected exclusively for EAA purposes.

The breakdown is as follows: 
3.1.2 Total number of sources of the type "Census"

Farm Structure Survey; Horticultural and Field Vegetable Cultivation Survey; Survey on Fruit Plantations; Foreign Trade Statistics – INTRASTAT; Short Term Statistics in Industry and Construction

3.1.3 Total number of sources of the type "Sample survey"

6

Farm Structure Survey; General Livestock Survey; National Farm Accountancy Data Network (FADN); GfK Household Panel; Market Survey on Ornamental Horticulture and Nurseries; Microcensus Labour Force Survey

3.1.4 Total number of sources of the type "Administrative source"

about 20 (including official statistics based on administrative sources)

Foreign Trade Statistics – EXTRASTAT; Hunting Statistics; Turnover Tax Statistics; Motor Vehicle Statistics; Multiple Area Applications (IACS); Market data from AMA on cereals (prices, marketing quantities, cereal balance sheet); Market data from AMA on milk (prices, delivery quantities, etc.); Results from the milk performance audit (Association of Austrian Cattle Breeders (ZAR)); Cattle Database; Data on seeds from the Austrian Agency for Health and Food Safety Ltd. (AGES) and the Federal Ministry for Sustainability and Tourism (BMNT); Vineyard registers; Housing data for Broilers and Turkeys; Laying Hen Register; Employment Statistics of the Main Association of Austrian Social Security Organisations; Data on employed persons compulsory insured under SVB health insurance (SVB=Social Insurance Institution for Farmers), Payment data according to the Green Report of BMNT; Payment data from IACS; Data from AMA on agricultural marketing contributions

3.1.5 Total number of sources of the type "Experts"

about 10

Additional information on plant production (i.e. yields and prices of special crops; production and producer prices of Christmas trees), animal production (i.e. producer prices for geese, ducks, ewes’ and goats’ milk; production and prices of sheep’s wool) and agricultural input

3.1.6 Total number of sources of the type "Other sources"

about 30 

Statistics with mixed data sources including balances, economic accounts and price indices: Harvest Survey; Cattle Survey; Pig Survey; Slaughtering Statistics; Statistics on Milk Production and Use; Statistics on Agricultural and Forestry Producer Prices; Supply Balance Sheets; National Accounts; Economic Accounts for Forestry; Agricultural Price Indices; Consumer Price Index; Construction Output Price Index; Index of Agreed Minimum Wages and Salaries

Others: Standard Output and Standard Gross Margin Calculations; ÖKL-guidelines for machine costs, additional information from producer organisations, associations, etc.


Census

If there is a specific census conducted in your country to collect data exclusively for the EAA please describe it in this part. For other data sources please use table 3.1 in the annexed Excel file. If metadata already exist just provide the name of the data source. 
3.1.7 Name/Title
3.1.8 Name of Organisation responsible
3.1.9 Main scope
3.1.10 List used to build the frame
3.1.11 Any possible threshold values
3.1.12 Population size
3.1.13 Additional comments


Sample survey

If there is a specific survey conducted in your country to collect data exclusively for the EAA please describe it in this part. For other data sources please use table 3.1. If metadata already exist just provide the name of the data source.(e.g. FSS, Crop production, Animal production, Prices in Agriculture) 
3.1.14 Name/Title
3.1.15 Name of Organisation responsible
3.1.16 Main scope
3.1.17 List used to build the frame
3.1.18 Any possible threshold values
3.1.19 Population size
3.1.20 Sample size
3.1.21 Sampling basis
3.1.22 If Other, please specify
3.1.23 Type of sample design
3.1.24 If Other, please specify
3.1.25 If Stratified, number of strata
3.1.26 If Stratified, stratification criteria
3.1.27 If Other, please specify
3.1.28 Additional comments


Administrative source

If there is a specific administrative source in your country witch provide data exclusively for the EAA please describe it in this part. For other administrative sources please use table 3.1. If metadata already exist just provide the name of the data source. 
3.1.29 Name/Title
3.1.30 Name of Organisation responsible
3.1.31 Contact information (email and phone)
3.1.32 Main administrative scope
3.1.33 Geospatial Coverage
3.1.34 Update frequency
3.1.35 Legal basis
3.1.36 Are you able to access directly to the micro data?
3.1.37 Are you able to check the plausibility of the data, namely by contacting directly the units?
3.1.38 How would you assess the proximity of the definitions and concepts (including statistical units) used in the administrative source with those required in the EU regulation?
3.1.39 Please list the main differences between the administrative source and the statistical definitions and concepts
3.1.40 Is a different threshold used in the administrative source and statistical data?
3.1.41 If Yes, please specify
3.1.42 Additional comments


Experts

If there is a specific expert source in your country witch provide data exclusively for the EAA please describe it in this part. For other expert sources please use table 3.1. If metadata already exist just provide the name of the data source.
3.1.43 Name/Title Restricted from publication
3.1.44 Primary purpose Restricted from publication
3.1.45 Legal basis
3.1.46 Update frequency Restricted from publication
3.1.47 Expert data supplier Restricted from publication
3.1.48 If Other, please specify Restricted from publication
3.1.49 How would you assess the quality of those data? Restricted from publication
3.1.50 Additional comments


Other sources

If there is more than one other statistical activity, please describe the main one below and the additional ones in table 3.1 of the annexed Excel file 
3.1.51 Name/Title
3.1.52 Name of Organisation
3.1.53 Primary purpose
3.1.54 Data type
3.1.55 If Other, please specify
3.1.56 How would you assess the quality of those data?
3.1.57 Additional comments

 

3.2. Frequency of data collection

Mostly annual

3.3. Data collection

Census

If there is a specific census conducted in your country to collect data exclusively for the EAA please describe the method of data collection in this part. For other data sources please use table 3.3. If metadata alredy exist just provide the name of the data source. 
3.3.1 Name/Title
3.3.2 Methods of data collection
3.3.3 If Other, please specify
3.3.4 If face-to-face or telephone interview, which method is used?
3.3.5 Data entry method, if paper questionnaires?
3.3.6 Please annex the questionnaire used (if very long: please provide the hyperlink)
3.3.7 Additional comments


Sample survey

If there is a specific survay conducted in your country to collect data exclusively for the EAA please describe the method of data collection in this part.For other data sources please use table 3.3. If metadata alredy exist just provide the name of the data source. 
3.3.8 Name/Title
3.3.9 Methods of data collection
3.3.10 If Other, please specify
3.3.11 If face-to-face or telephone interview, which method is used?
3.3.12 Data entry method, if paper questionnaires?
3.3.13 Please annex the questionnaire used (if very long: please provide the hyperlink)
3.3.14 Additional comments


Administrative source

If there is a specific administrative source in your country to collect data exclusively for the EAA please describe the metod of data collection in this part.For other data sources please use table 3.3. If metadata alredy exist just provide the name of the data source. 
3.3.15 Name/Title
3.3.16 Extraction date
3.3.17 How easy is it to get access to the data?
3.3.18 Data transfer method
3.3.19 Additional comments


Experts

If there is a specific expert source in your country witch provide data exclusively for the EAA please describe the metod of data collection in this part. For other expert sources please use table 3.3. If metadata alredy exist just provide the name of the data source.
3.3.20 Name/Title Restricted from publication
3.3.21 Methods of data collection Restricted from publication
3.3.22 Additional comments
3.4. Data validation
3.4.1 Which kind of data validation measures are in place? Manual
Automatic
3.4.2 What do they target? Completeness
Outliers
Consistency
Other
3.4.3 If Other, please specify

Coherence (comparisons with data from other sources)

Accuracy of the estimates (comparisons of estimates and final data)

3.5. Data compilation
3.5.1 Describe the data compilation process

The compilation of the EAA is carried out as a rather permanent process that is annually repeated. The main steps of the process are the collection of input data that constitute the basis for the EAA figures, the data processing including extrapolations and models conducted to estimate missing data as well as adjustments made to the input data and finally the presentation of the EAA results. Work usually starts in September/October with the collection of input data for the first EAA estimate which is carried out in November of the current year n. To overcome data gaps inevitably existing at this point of time working group meetings for the main agricultural product groups are held. A second estimate is compiled in January of the following year n+1 taking into account newly available input data. Semi-definitive EAA data are calculated at the beginning of July n+1. These are further updated in the wake of the calculations for the following reporting year. EAA data are usually final in July n+2. However, as the latest available input data is being continually incorporated into the EAA, already completed reporting years can also be subject to revisions.

Continuous comprehensive checks are part of the compilation processs.

3.5.2 Additional comments
3.6. Adjustment

The following adjustments are made to conform to EAA standards:

Concerning data derived from the FADN such as non-agricultural secondary activities and intermediate consumption (IC): As the selection framework of the national FADN also includes small-scale forests and to avoid their duplicate recording in the EAA and the EAFMa, the extrapolated data are adjusted for the share attributed to small-scale forestry.

IC - horticulture: An upward adjustment is made for intermediate consumption in the realm of horticulture, since this activity is largely unrepresented in the national FADN. The adjustment is assessed on the basis of horticultural output according to EAA calculations and input/output coefficients derived from a FADN subsample.

IC - Agricultural Services/Other goods and services: FADN data on expenditure on transport and machinery services per hectare of reduced agricultural area are extrapolated to national level. The extrapolated values are adjusted for agricultural expenses included in the FADN item ‘transport and machinery services’ which do not constitute agricultural services according to EAA definitions. Their estimated share is deducted and recorded under item 19900 Other goods and services. Furthermore the share which can be attributed to forestry services (according to FADN data) is deducted.

GFCF in buildings: Calculations are based on FADN data. On the assumption that agricultural holdings submitting their records to FADN have higher investment rates than the average agricultural holding, the extrapolated values are adjusted by discounts (2017: 10%). 

Interest paid: Actual interest paid are adjusted to eliminate the amount of FISIM on loans (i.e. the estimated costs for FISIM on loans are substracted) and to take into account interest-rate subsidies.

Interest received: Actual interest received are adjusted to take account of the amount of FISIM on deposits, i.e. the estimated costs for FISIM on deposits are added.


4. Quality management Top
4.1. Quality assurance
4.1.1 Is there a quality management system used in the organisation? Yes
4.1.2 If yes, how is it implemented?

Statistics Austria is managed according to the principles of Total Quality Management (TQM). This comprehensive quality strategy is concerned with quality throughout the entire organisation. Beyond the central focus on the quality of products it also comprises efficiency, qualification and motivation of staff members, as well as customer relation management and the relation to the respondents.

TQM is seen as an ongoing process with the objective of continuous improvement. Concrete projects and measures for goal achievement are defined and implemented in each of the TQM areas specified.

The Austrian Statistics Act sets one of the main focuses of the Statistics Council's work on quality assurance. A working group called Quality Assurance Committee exists, aiming at a continuous monitoring and evaluation of Statistics Austria's quality of work.

Statistics Austria developed Quality Guidelines covering the whole statistical process chain. The quality guidelines give orientation to staff for individual steps in the production process.  A further aim of the Quality Guidelines is to transfer the message to all users that Statistics Austria is striving for high quality standards, following – whenever possible - best practices for all products.

Statistics Austria uses standard documentation to provide users with information about the underlying concepts, definitions, methods used and the quality of the statistics (meta-information) in a standardised format.The introduction of this documentation, which is based on a multi-dimensional quality concept compliant with EU standards (relevance, accuracy, up-to-date nature, access, comparability, coherence), has created a basic framework for the ongoing internal and external evaluation of the quality of statistical production processes and products.

In cooperation with the Statistic Committee’s Quality Assurance Committee, feedback meetings on the quality of the various statistical products on the basis of the standard documentation are held regularly within the framework of Statistics Austria’s quality management programme.

The content and objectives of the feedback meetings concern critical examination of the quality aspects of statistics with particular consideration of the methods and processes used; identification of quality improvement potential; development of recommendations for improvement measures; and improvement of the standard documentation relating to the statistics in question, with special attention to the views of users and external experts.

Standard documentations on the EAA and the Regional Agricultural Accounts (RAA) were produced and made available on the Internet in 2009.

4.1.3 Has a peer review been carried out? Yes
4.1.4 If Yes, which were the main conclusions?

In cooperation with the Statistic Committee’s Quality Assurance Committee, feedback meetings on the quality of the various statistical products on the basis of the standard documentation are held regularly within the framework of Statistics Austria’s quality management programme. A feedback meeting on EAA and RAA took place in 2009. The recommendations refered mainly to the standard documentation itself, such as the clarification of the exact subject matter of the EAA, the distiction from National Accounts and the description of the basic concepts and methods. As regards possible improvements of the EAA, the inclusion of further secondary acitivities and services provided by agriculture was mentioned.

4.1.5 What quality improvements are foreseen? Further automation
Further training
Other
4.1.6 If Other, please specify

Continuous work on methodological improvements, evaluation of new data sources, etc.

4.1.7 Additional comments

Continuous process taking into account developments at European level, input from working group meetings with external experts, etc.

4.2. Quality management - assessment

Development since the last quality report

4.2.1 Overall quality Stable
4.2.2 Relevance Stable
4.2.3 Accuracy and reliability Stable
4.2.4 Timeliness and punctuality Stable
4.2.5 Comparability Stable
4.2.6 Coherence Stable
4.2.7 Additional comments

Availability and quality of source data have a decisive impact on the accuracy and reliability of the EAA data.

Contrary developments: availability of new/improved input data versus less favorable development concerning other input data.


5. Relevance Top
5.1. Relevance - User Needs
5.1.1 If certain user needs are not met, please specify which and why

Inclusion of further secondary activities and services provided by agriculture: not included so far as not foreseen in the EAA methodology laid down in Regulation (EC) No. 138/2004; furthermore valuation issues would have to be resolved

5.1.2 Please specify any plans to satisfy needs more completely in the future

Inclusion of further secondary activities and services provided by agriculture: depending on the developments at European level (EAA modernization project)

5.1.3 Additional comments

Further user needs which have been met:

  • Regarding timeliness of data provision: Semi-definitive EAA data are already compiled in July n+1 (instead of September n+1) in order to be able to provide them for the Green Report of BMNT. Regional EAA data are published already in October n+1 due to user needs of the Federal States (Bundesländer).
  • Regarding regional data below Nuts 2 level: EAA data at Nuts 3 level are caluclated at irregular intervals on behalf of BMNT.
5.2. Relevance - User Satisfaction
5.2.1 Has a user satisfaction survey been conducted? Yes
If Yes, please answer all the following questions 
5.2.2 Year of the user satisfaction survey

2017

5.2.3 How satisfied were the users? Satisfied
5.2.4 Additional comments

In autumn 2017 Statistics Austria conducted a user satisfaction survey. 108 experts participated in this survey on a voluntary basis and answered via a web based questionnaire. On the one hand the survey covered institutional aspects of general importance. On the other hand users had the possibility to evaluate important quality aspects on product level such as frequency and modes of data usage, as well as the relevance and the general quality of the used data.

User consultation/contact specifically related to EAA data needs is mainly ensured by meetings with users inside and outside the statistical system and informal contact with relevant users.

5.3. Completeness
Restricted from publication


6. Accuracy and reliability Top
6.1. Accuracy - overall
Restricted from publication
6.2. Sampling error
Restricted from publication
6.2.1. Sampling error - indicators
Restricted from publication
6.3. Non-sampling error
Restricted from publication
6.3.1. Coverage error
Restricted from publication
6.3.1.1. Over-coverage - rate
Restricted from publication
6.3.1.2. Common units - proportion
Restricted from publication
6.3.2. Measurement error
Restricted from publication
6.3.3. Non response error
Restricted from publication
6.3.3.1. Unit non-response - rate
Restricted from publication
6.3.3.2. Item non-response - rate
Restricted from publication
6.3.4. Processing error
Restricted from publication
6.3.4.1. Imputation - rate
Restricted from publication
6.3.5. Model assumption error
Restricted from publication
6.4. Seasonal adjustment
Restricted from publication
6.5. Data revision - policy

Information on revision policy is provided online (see http://www.statistik.at/web_de/ueber_uns/aufgaben_und_grundsaetze/datenrevisionen/index.html), containing also information on the revision schedule in the EAA.

In the Austrian EAA statistical revisions are carried out regularly in order to incorporate the most current information from censuses, annual surveys, administrative data sources and other sources and to implement improved calculation methods. There are two important types of revisions, namely routine revisions related to the regular data production process (e.g. estimated values for missing data are replaced by reported figures) and major revisions, due to changes in methods and sources. The latter comprise comprehensive revisions taking place at periodical intervals due to the introduction of new concepts, definitions or classifications into the accounting system.

The EAA are annual statistics that are updated several times a year. The general time table is the following:

• First estimate: publication in December of the current year n

• Second estimate: publication in February of the following year n+1

• Semi-definitive data: July n+1 (In order to comply with national requirements (Green Report of the BMNT), semi-definitive data for the preceding year is compiled already by the start of July and not in September of the following year as stipulated by Regulation (EC) No. 138/2004)

• Definitive data: July n+2

However, as currently available information from surveys with differing frequency is continually integrated into the calculation system and some statistics are only available at intervals of serveral years there are revisions also for already completed reference years. Furthermore the implementation of new data sources and improvements in the calculation methods may lead to revisions that – where necessary – are also implemented for preceding years in order to avoid discontinuities of time series.

6.6. Data revision - practice
Restricted from publication


7. Timeliness and punctuality Top
7.1. Timeliness
7.1.1 When were  the first  results for the reference period published?

First estimates for 2017 were published on 15 December 2017.

7.1.2 When were  the final results for the reference period published?

Semi-definitive data for 2017 were published on 17 July 2018. 

The results for the reference year 2017 will be updated and will become final in July 2019. However, as available information from surveys with differing frequency is continually integrated into the calculation system and some statistics are only available at intervals of serveral years, further revisions may occur at a later date. Furthermore the implementation of new data sources and improvements in the calculation methods may lead to revisions.

7.1.3 Reasons for possible long production times?
7.2. Punctuality
7.2.1 Were data released nationally according to a pre-announced schedule (Release Calendar)? Yes
7.2.2 If Yes, were data released on the target date? Yes
7.2.3 If No, reasons for delays?
7.2.4 Number of days between the national release date of data and the target date

Data deliveries to Eurostat:

First estimate: 0 days (delivery of data on 30.11.2017, target date: 30.11.2017)

Second estimate: -1 day (data provided on 30.01.2018, target date: 31.01.2018)

Semi-definitive data: -72 days (data provided on 20.07.2018, target date: 30.09.2018)

 

National publication:

First estimate: 0 days (release date = target date)

Second estimate: 0 days

Semi-definitive data: 0 days


8. Coherence and comparability Top
8.1. Comparability - geographical

To be assessed by Eurostat

8.1.1. Asymmetry for mirror flow statistics - coefficient
8.2. Comparability - over time
8.2.1 Length of comparable time series

Consistent time series for the EAA are available from 1995 onwards.

8.2.2 Have there been major breaks in the time series? No
8.2.3 If Yes, please specify the year of break and the reason
8.2.4 Additional comments
8.3. Coherence - cross domain
8.3.1 With which other national data sources have the data been compared?

EAA figures are compared with the results of the national FADN data as published in the yearly Green Report of BMNT. It however has to be taken into account that FADN is also used as a data source for the calculation of individual EAA variables such as intermediate consumption and some other items.

8.3.2 Describe briefly the results of comparisons

Developments in the EAA data are largely coherent with the combined developments of agricultural production and agricultural price statistics as these are used as source data for EAA compilation.

EAA and FADN results for 2017 show similar development trends. The observed discrepancies can in most cases be attributed to methodological differences.

As far as coherence between EAA and NA data for the agricultural industry is concerned, it has to be considered that the EAA is used as a data source for National Accounts. However bridge tables have to be compiled taking into account conceptual differences between the two accounting systems. The NA data for the agricultural industry therefore deviate from the EAA data.

8.3.3 If no comparisons have been made, explain why
8.3.4 Additional comments
8.4. Coherence - sub annual and annual statistics

Not relevant (EAA are calculated only on an annual basis)

8.5. Coherence - National Accounts

Use of EAA-data in NA calculations

Are EAA used by NA as data source for Group 01 Degree of implication Please describe briefly the reasons
Output Main source used

Can easily be adapted to ESA 2010 concepts and definitions

Intermediate consumption Main source used

Can easily be adapted to ESA 2010 concepts and definitions

Fixed capital consumption Secondary source used

Perpetual inventory method (PIM) based on GFCF from EAA

Compensation of employees Not used

Administrative data are used

Taxes Secondary source used

Administrative data available from government accounts

Subsidies Secondary source used

Administrative data available from government accounts

Rents Not used

Only relevant for institutional sectors, not for activities

Interest Not used

Information from banking statistics is used (by institutional sector, not by activity)

Gross fixed capital formation Main source used

Can easily be adapted to ESA 2010 concepts and definitions

Labour input Not used

Administrative and LFS data are used


Use of NA-data in EAA calculations

Are NA used as data source for EAA Degree of implication  Please describe briefly the reasons 
Output Not used

Agricultural statistics are used

Intermediate consumption Secondary source used

FADN is the main data source

NA data on FISIM are used

Fixed capital consumption Secondary source used

Perpetual inventory method

Compensation of employees Only source used

NA data are used

Taxes Main source used

Other taxes on production: NA data are used with the exception of the item 'VAT undercompensation' (separate calculation within EAA)

Taxes on products: administrative data are used

Subsidies Not used

Administrative data are used

Rents Not used

FADN data are used

Interest Secondary source used

Calculations are based on FADN data on interest actually paid/received, NA data on FISIM and administrative data on interest rate subsidies.

Gross fixed capital formation Secondary source used

FADN data, Motor Vehicle Statistics, Short Term Statistics in Industry and Construction, Foreign Trade Statistics, NA data on GFCF in software and further data sources are used.

Labour input Main source used

Non salaried labour input: calculations are based on FSS data, extrapolation model

Salaried labour input: NA data are used

8.6. Coherence - internal

EAA data add up and are consistent in terms of expected additivity rules (except in cases where additivity does not apply like the case of chain-linked volumes).

Internal consistency is ensured by consistency checks.


9. Accessibility and clarity Top
9.1. Dissemination format - News release
9.1.1 Do you publish a news release? Yes
9.1.2 If Yes, please provide a link

http://www.statistik.at/web_de/presse/index.html

 

Press release on the second estimates for 2017:

http://www.statistik.at/web_de/statistiken/wirtschaft/land_und_forstwirtschaft/gesamtrechnung/landwirtschaftliche_gesamtrechnung/116205.html

9.2. Dissemination format - Publications
9.2.1 Do you produce a paper publication? No
9.2.2 If Yes, is there an English version? No
9.2.3 Do you produce an electronic publication? Yes
9.2.4 If Yes, is there an English version? Yes
9.2.5 Please provide a link

Statistics Austria disseminates EAA data mainly via electronic publications. The data are accessible via predefined tables, extractions from STATcube database and via summary reports (available on the Internet as a pdf file containing the results and meta information). Key results of the second estimate 2017 were also made available in the form of a press release.

Pursuant to the Federal Statistics Act 2000, BGBl. I No 163/1999, as last amended by BGBl. I No 136/2001BGBl. I No 71/2003BGBl. I No 92/2007BGBl. I No 125/2009, BGBl. I No. 111/2010 and BGBl. I No 40/2014 Statistics Austria is obliged to make the main results available via the Internet free of charge. They are available at http://www.statistik.at/web_de/statistiken/land_und_forstwirtschaft/gesamtrechnung/landwirtschaftliche_gesamtrechnung/index.html#reiter_publications

Information on EAA results is also included in further Statistics Austria publications such as the printed publication 'Statistik der Landwirtschaft' (Agricultural Statistics - in German only) (http://www.statistik.at/web_de/services/publikationen/8/index.html?includePage=detailedView§ionName=Land-+und+Forstwirtschaft&pubId=483) and the Statistical yearbook of Austria (http://www.statistik.at/web_de/services/stat_jahrbuch/index.html).

9.3. Dissemination format - online database
9.3.1 Data tables - consultations

Consultations vary depending on publication mediums and over time.

9.3.2 Is an on-line database accessible to users? Yes
9.3.3 Please provide a link

http://www.statistik.at/web_de/statistiken/wirtschaft/land_und_forstwirtschaft/gesamtrechnung/landwirtschaftliche_gesamtrechnung/index.html#reiter_publications

http://www.statistik.at/web_de/services/statcube/index.html

9.4. Dissemination format - microdata access
9.4.1 Are micro-data accessible to users? No
9.4.2 Please provide a link
9.5. Dissemination format - other

Further national publications

Contributions setting out the results of the EAA are also included in the yearly Green report of the Federal Ministry for Sustainability and Tourism (printed publication, electronically available at https://gruenerbericht.at).

Eurostat - online database and other publications

EAA data are transmitted to Eurostat via eDAMIS for entry in the Eurostat database and publication purposes.

9.6. Documentation on methodology
9.6.1 Are national reference metadata files available? Yes
9.6.2 Please provide a link

Concepts, definitions and explanations relating to EAA, plus notes on the methods used and on quality, are available in German free of charge, in a standardised form, at http://www.statistik.at/wcm/idc/idcplg?IdcService=GET_PDF_FILE&RevisionSelectionMethod=LatestReleased&dDocName=029347

An English summary is available at http://www.statistik.at/wcm/idc/idcplg?IdcService=GET_PDF_FILE&RevisionSelectionMethod=LatestReleased&dDocName=117177

9.6.3 Are methodological papers available? Yes
9.6.4 Please provide a link

An updated inventory of the sources and methods used to calculate EAA was submitted to Eurostat in 2017 which is accessible through the Eurostat's website at http://ec.europa.eu/eurostat/documents/749240/8257667/EAA_Inventory_2016_ATweb.pdf/36737913-74d1-4bbc-a7b6-a7959b25789b

9.6.5 Is a handbook available? Yes
9.6.6 Please provide a link

http://ec.europa.eu/eurostat/web/products-manuals-and-guidelines/-/KS-27-00-782

9.7. Quality management - documentation
9.7.1 Metadata completeness - rate

Not applicable.

9.7.2 Metadata - consultations

No information available.

9.7.3 Is a quality report available? Yes
9.7.4 Please provide a link

Concepts, definitions and explanations relating to EAA, plus notes on the methods used and on quality, are available in German free of charge, in a standardised form, at http://www.statistik.at/wcm/idc/idcplg?IdcService=GET_PDF_FILE&RevisionSelectionMethod=LatestReleased&dDocName=029347


10. Cost and Burden Top
10.1 Efficiency gains if compared to the previous quality report Further automation
Further training
10.2 If Other, please specify
10.3 Burden reduction measures since the previous quality report Multiple use of the collected data
Other
10.4 If Other, please specify

The response burden related to data collection for EAA is very low, as the compilation of the Austrian EAA data is mainly compiled by using other statistics and administrative sources.


11. Confidentiality Top
11.1. Confidentiality - policy
11.1.1 Are confidential data transmitted to Eurostat? No
11.1.2 If yes, are they confidential in the sense of Reg. (EC) 223/2009?
11.1.3 Describe the data confidentiality policy in place

The handling of confidential data relating to individuals and organisations is regulated by the strict confidentiality provisions of the Austrian Federal Statistics Act 2000, BGBl. I No 163/1999 (as last amended by BGBl. I No 136/2001BGBl. I No 71/2003BGBl. I No 92/2007, BGBl. No 125/2009BGBl. I No 111/2010 and BGBl. I No 40/2014).

11.2. Confidentiality - data treatment
11.2.1 Describe the procedures for ensuring confidentiality during dissemination

In the dissemination of the EAA data, the deepest regional breakdown is the NUTS 2 - level. On this level no problems were detected on data protection issues.

11.2.2 Additional comments

Due to its high degree of aggregation, EAA data are usually not confidential.


12. Comment Top
Restricted from publication


Related metadata Top


Annexes Top
ESQRS_ANNEX_EAA.xlsx