Economic accounts for agriculture (aact)

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

Compiling agency: Norwegian Institute of Bioeconomy Research

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)

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1. Contact

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1.1. Contact organisation

Norwegian Institute of Bioeconomy Research

1.2. Contact organisation unit

Division of Survey and Statistics

1.5. Contact mail address

Postboks 115

NO-1432 Ås

Norway

2. Statistical presentation

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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 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	Comment: Plant products grown in 2017 but sold in autumn 2017 - spring 2018, is posted on calendar year 2017

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

1995-2017

2.9. Base period

2017

3. Statistical processing

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3.1. Source data

Overall summary

3.1.1 Total number of different data sources used	The EAA is based on NA-data (the "Aggregated account for agriculture"). The "Aggregated account for agriculture" is calculated yearly by the "Budget committee for agriculture" (BCA) and is the basis for the yearly agricultural negotiations between the state and farmers unions. The BCA is made up og representatives from state, farmers unions and other neutral parts. The NA-data for agriculture is supplemented by the "Account for reindeerproduction" and "Account for forestry". The sources for the "Aggregated account for agriculture" is based on data from Statistics Norway, Norwegian Agriculture Agency, other public bodies connected to agriculture and food administration, national FADN-data, farmers buying and selling cooperatives and several other companies and firms involved in agricultural business. In total, there is about 120 different data-sources connected to the yearly calculation of the "Aggregated account for agriculture".
The breakdown is as follows:
3.1.2 Total number of sources of the type "Census"	Censuses is carried out by Statistics Norway yearly.
3.1.3 Total number of sources of the type "Sample survey"	No sample surveys is used
3.1.4 Total number of sources of the type "Administrative source"	Statistics Norway, Norwegian Agriculture Agency and Norwegian Food Safety Authority are the main contributors of public administrative data. The most important among commercial administrative data sources are: TINE (milk-marketing cooperative), Nortura (meat and egg-marketing cooperative), FK Agri and Felleskjopet Rogaland-Agder (grain-marketing and purchasing cooperatives), Honningsentralen (honey-marketing cooperative), Norges pelsdyralslag (fur-marketing cooperative)
3.1.5 Total number of sources of the type "Experts"	The Budget committee for agriculture,- concisting of representatives from state and farmers unions and the responsible body for working out the NA (the "national EAA") yearly, is an expert group.
3.1.6 Total number of sources of the type "Other sources"	See above

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	Annual
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?	Access granted upon a simple request
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
3.4.2 What do they target?	Aggregates
3.4.3 If Other, please specify

3.5. Data compilation

3.5.1 Describe the data compilation process	It is carried out by sending requests for data information (to the annual NA) to about 120 respondents.
3.5.2 Additional comments

3.6. Adjustment

Data is scaled up to national level with relevant ratios if the collected data is based on a limited selection

4. Quality management

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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?	The quality assurance is carried out by the following groups: - the secretariat working out the calculations/data - control of data and calculations by others in the secretariat - the members of the "Budget Committee for Agriculture" (the committee responsible for the calculations)
4.1.3 Has a peer review been carried out?	Yes
4.1.4 If Yes, which were the main conclusions?	The Budget Committe for Agriculture is responsible for working out the NA ("national EAA-data"). There is no law regulating this. The formal basis for the calculations/data is an agreement between the state and farmers unions. The NA-data worked out is the basis for the yearly negotiations between state and farmers unions. The peer review however, gave moments to take into concideration.
4.1.5 What quality improvements are foreseen?	Further automation
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	Stable
4.2.4 Timeliness and punctuality	Stable
4.2.5 Comparability	Improvement
4.2.6 Coherence	Improvement
4.2.7 Additional comments

5. Relevance

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5.1. Relevance - User Needs

5.1.1 If certain user needs are not met, please specify which and why	Not relevant
5.1.2 Please specify any plans to satisfy needs more completely in the future
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	100 %
5.3.2 If not complete, which characteristics are missing?
5.3.3 Additional comments

6. Accuracy and reliability

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6.1. Accuracy - overall

6.1.1 How good is the accuracy?	Very 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

Not relevant

6.3.1. Coverage error

6.3.1.1. Over-coverage - rate

6.3.1.2. Common units - proportion

6.3.2. Measurement error

6.3.3. Non response error

6.3.3.1. Unit non-response - rate

6.3.3.2. Item non-response - rate

6.3.4. Processing error

6.3.4.1. Imputation - rate

6.3.5. Model assumption error

6.4. Seasonal adjustment

Not relevant

6.5. Data revision - policy

Revisions are carried out for factors of income and costs where new data sources and methods becomes available. Examples is calculations/data based on older surveys. Data is revised when new surveys becomes available.

6.6. Data revision - practice

6.6.1 Data revision - average size	See 6.5
6.6.2 Were data revisions due to conceptual changes (e.g. new definitions) carried out since the last quality report?	Yes
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

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7.1. Timeliness

7.1.1 When were the first results for the reference period published?	April 2017
7.1.2 When were the final results for the reference period published?	April 2018
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)?	No
7.2.2 If Yes, were data released on the target date?
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

8. Coherence and comparability

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8.1. Comparability - geographical

Not relevant (account only for the whole country)

8.1.1. Asymmetry for mirror flow statistics - coefficient

8.2. Comparability - over time

8.2.1 Length of comparable time series	1995-2017
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	The NA (which is the basis for the reported EAA) has a comparable time-series due to the use and needs of these data in the yearly agricultural negotiations.

8.3. Coherence - cross domain

8.3.1 With which other national data sources have the data been compared?	The NA is based on national data sources which in large covers the whole nation. See also 8.2.4
8.3.2 Describe briefly the results of comparisons
8.3.3 If no comparisons have been made, explain why	See 8.3.1
8.3.4 Additional comments

8.4. Coherence - sub annual and annual statistics

Good

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	Not used
Intermediate consumption	Not used
Fixed capital consumption	Not used
Compensation of employees	Not used
Taxes	Not used
Subsidies	Not used
Rents	Not used
Interest	Not used
Gross fixed capital formation	Not used
Labour input	Not 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	Main source used	NA is the relevant data source to be used/has in large the same coverage as EAA
Intermediate consumption	Main source used	See above
Fixed capital consumption	Only source used	See above
Compensation of employees	Main source used	See above
Taxes	Only source used	See above
Subsidies	Only source used	See above
Rents		See above
Interest	Only source used
Gross fixed capital formation	Main source used	See above
Labour input	Main source used	NA and FADN-data for Norway

8.6. Coherence - internal

The internal coherence is good.

9. Accessibility and clarity

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9.1. Dissemination format - News release

9.1.1 Do you publish a news release?	No
9.1.2 If Yes, please provide a link

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?	No
9.2.4 If Yes, is there an English version?	No
9.2.5 Please provide a link

9.3. Dissemination format - online database

9.3.1 Data tables - consultations	Not relevant
9.3.2 Is an on-line database accessible to users?	No
9.3.3 Please provide a link	Not relevant

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?	No
9.6.2 Please provide a link
9.6.3 Are methodological papers available?	No
9.6.4 Please provide a link
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?	No
9.7.4 Please provide a link

10. Cost and Burden

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10.1 Efficiency gains if compared to the previous quality report	Further automation
10.2 If Other, please specify
10.3 Burden reduction measures since the previous quality report	Easier data transmission
10.4 If Other, please specify

11. Confidentiality

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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	Aggregates of data from different sources are published but not data from one source that is not published elsewhere.

11.2. Confidentiality - data treatment

11.2.1 Describe the procedures for ensuring confidentiality during dissemination	See 11.1
11.2.2 Additional comments

12. Comment

Related metadata

Annexes