Economic accounts for agriculture (aact)

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

Compiling agency: Statistics Denmark

Time Dimension: 2017-50

Data Provider: DK1

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 Denmark

1.2. Contact organisation unit

Food Industries

1.5. Contact mail address

sis@dst.dk


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

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

1990 - 2017

2.9. Base period

2015 is the base period


3. Statistical processing Top
3.1. Source data

Overall summary

3.1.1 Total number of different data sources used

24

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

6

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

7

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

7

3.1.5 Total number of sources of the type "Experts"

4

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

0


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
3.1.44 Primary purpose
3.1.45 Legal basis
3.1.46 Update frequency
3.1.47 Expert data supplier
3.1.48 If Other, please specify
3.1.49 How would you assess the quality of those data?
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

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
3.3.21 Methods of data collection
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? Consistency
3.4.3 If Other, please specify
3.5. Data compilation
3.5.1 Describe the data compilation process

The data compilation is closely connected to the data validation. Overall are prices and quantities collected and values af each product are calculated. At the same time it is taken into account that there are different boundaries for the different statistics where imputation can be used. 

3.5.2 Additional comments

No

3.6. Adjustment

Corrections are not made on data other than what has already been described under data compilation.


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 Denmark follows the principles in the Code of Practice for EUropean Statistics (CoP) and uses the Quality Assurance Framework of the European Statistical System (QAF) for the implementation of the principles. This involves continuous decentralized and central control of products and processes based on documentation following international standards. The central quality assurance function reports to the Working Group on Quality. Reports include suggestions for improvement that are assessed, decided and subsequently implemented.

4.1.3 Has a peer review been carried out? No
4.1.4 If Yes, which were the main conclusions?
4.1.5 What quality improvements are foreseen?
4.1.6 If Other, please specify
4.1.7 Additional comments
4.2. Quality management - assessment

Development since the last quality report

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

Existing system has benn reviewed thoroughly


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

None

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

None

5.1.3 Additional comments
5.2. Relevance - User Satisfaction
5.2.1 Has a user satisfaction survey been conducted? No
If Yes, please answer all the following questions 
5.2.2 Year of the user satisfaction survey
5.2.3 How satisfied were the users?
5.2.4 Additional comments
5.3. Completeness
5.3.1 Data completeness - rate

It is complete

5.3.2 If not complete, which characteristics are missing?
5.3.3 Additional comments


6. Accuracy and reliability Top
6.1. Accuracy - overall
6.1.1 How good is the accuracy? Good
6.1.2 What are the main factors lowering the accuracy? Coverage error
6.1.3 If Other, please specify
6.1.4 Additional comments
6.2. Sampling error

Not relevant

6.2.1. Sampling error - indicators
6.3. Non-sampling error
6.3.1. Coverage error

The target population is the agricultural economic activity and the boundary is different for the data sources. Some data sources do not cover the whole economy so factors are used, so the coverage are as precise as possible.

6.3.1.1. Over-coverage - rate
6.3.1.2. Common units - proportion
6.3.2. Measurement error

The preliminary calculations is in a certain extent based on estimates and assumptions because final figures are not available. Therefore, measurement errors must be encountered in the preliminary figures.

6.3.3. Non response error

Loss of sample is not relevant for the calculation of the Economic Accounts for Agriculture, but it is relevant in the calculations of the primary statistics which is the data sources for the Economic Accounts for Agriculture.

6.3.3.1. Unit non-response - rate
6.3.3.2. Item non-response - rate
6.3.4. Processing error

Nothing to notice.

6.3.4.1. Imputation - rate

We use imputation when we know that the whole proudction is not covered.

6.3.5. Model assumption error

The Economic Accounts for Agriculture is based on the assumption that the value of each product is the price times the quantity.

6.4. Seasonal adjustment

Not relevant.

6.5. Data revision - policy

Statistics Denmark revises published figures in accordance with the [Revision Policy for Statistics Denmark](https://www.dst.dk/en/OmDS/strategi-og-kvalitet/revisionspolitik.aspx). The common procedures and principles of the Revision Policy are for some statistics supplemented by a specific revision practice.

6.6. Data revision - practice
6.6.1 Data revision - average size

The Economic Accounts for Agriculture is published once a year and are preliminary for the first two years they are published and are considered final after three years. Between the preliminary and final figures the results may vary up to plus/minus 3 percent. The Economic Accounts for Agriculture on regional level are also published once a year with the same distribution of preliminary and final figures.

6.6.2 Were data revisions due to conceptual changes (e.g. new definitions)  carried out since the last quality report? No
6.6.3 What was the main reason for the revisions?
6.6.4 How do you evaluate the impact of the revisions? Important
6.6.5 Additional comments


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

The national Danish EAA was published in June 2018. (There are small differences between the Danish EAA and the EAA delivered to Eurostat)

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

The final results are published two years after the first publication of the results.

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? No
7.2.3 If No, reasons for delays?

It was delayed 4 weeks. We had to adjust to the new base year 2015=100 which took longer than expected and we had a change i staff.

7.2.4 Number of days between the national release date of data and the target date

3 months (however there are differences in the two datasets)


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

1990-2017

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?

Examples of other statistic in the area are the annual publications [Agricultural Account Statistics](https://www.dst.dk/da/Statistik/Publikationer/VisPub?cid=20707) (FADN), which are dealing with the economic results in agriculture at farm level. The Agricultural Account Statistics as such forms the agricultural component of the national accounts, but is further specified.

8.3.2 Describe briefly the results of comparisons

It is not possible to make a full comparison between the EAA and the agricultural accounts of agriculture but we use it to see if the results are in the same range.

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

Only yearly statistics are published.

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

A few secondary sources are used e.g. foreign trade statistics

Intermediate consumption Main source used

Some data on energy use are from other sources

Fixed capital consumption Not used
Compensation of employees Main source used
Taxes Not used

Main data source is from generel government accounts

Subsidies Not used

Main data source is from general government accounts

Rents Only source used

No other sources

Interest Not used
Gross fixed capital formation Main source used

Software and research and evelopment are from other sources

Labour input Secondary source used

Main data source is from labour statistics


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
Intermediate consumption Main source used

NA data is used to calculate the Financial Intermeidation Services Indirectly measured (FISIM)

Fixed capital consumption Not used
Compensation of employees Not used
Taxes Main source used

We use taxes on agricultural land from NA and generel government accounts.

Subsidies Not used
Rents Not used
Interest Not used
Gross fixed capital formation Not used
Labour input Not used
8.6. Coherence - internal

Internal consistency in the Economic Accounts for Agriculture is secured by using the same input to the calculations of the statistics. If there are differences in the primary data sources, it is investigated if it has an influence on the Economic Accounts for Agriculture.  It is sought that there are no changes in calculation methods for the Economic Accounts for Agriculture, so the internal consistency remains. If changes are made, they and the consequences will be described.


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://dst.dk/en/Statistics/ofs/News/Emneopdelt.aspx?psi=196

 

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? No
9.2.5 Please provide a link

http://dst.dk/en/Statistics/ofs/News/Emneopdelt.aspx?psi=196

 

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

489

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

http://dst.dk/en/Statistics/ofs/News/Emneopdelt.aspx?psi=196

 

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

http://www.dst.dk/en/Statistics/documentation/Declarations/economic-accounts-for-agriculture-.aspx

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

http://www.dst.dk/en/Statistics/documentation/Declarations/economic-accounts-for-agriculture-.aspx

9.6.5 Is a handbook available? No
9.6.6 Please provide a link
9.7. Quality management - documentation
9.7.1 Metadata completeness - rate
9.7.2 Metadata - consultations
9.7.3 Is a quality report available? Yes
9.7.4 Please provide a link

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/economic-accounts-for-agriculture


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


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

Statistics Denmark on Code of Statistics (https://www.dst.dk/en/OmDS/lovgivning.aspx).

11.2.2 Additional comments


12. Comment Top


Related metadata Top


Annexes Top
ESQRS_ANNEX_EAA_v1
ESQRS_Annex_EAA_DK