Economic accounts for agriculture (aact)

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

Compiling agency: Lithuanian institute of agrarian economics (final data) Statistics Lithuania (first and second estimates)


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: Eurostat user support

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1. Contact Top
1.1. Contact organisation

Lithuanian institute of agrarian economics (final data)

Statistics Lithuania (first and second estimates)
1.2. Contact organisation unit

Agricultural policy and foreign trade division (final data)

Agricultural and Environmental Statistics division (first and second estimates)
1.5. Contact mail address

V. Kudirkos st. 18-2, 03105 Vilnius, Lithuania (final data)

Gedimino Ave 29, LT-01500, Vilnius, Lithuania (first and second estimates)


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. 

National definitions not differ from those in the EU regulation
2.1.12 Is there a legal obligation for respondents to reply?  No


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

Data are available from 1995
2.9. Base period

Accounts for year n are calculated at current prices, at prices of year n-1

Value, volume and price indices are also obtained for reference years: n-1=100

Labour input data are shown as total annual work units.

 

 

 


3. Statistical processing Top
3.1. Source data

Overall summary

3.1.1 Total number of different data sources used

15
The breakdown is as follows: 
3.1.2 Total number of sources of the type "Census"

3
3.1.3 Total number of sources of the type "Sample survey"

6

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

 5

 
3.1.5 Total number of sources of the type "Experts"

No
3.1.6 Total number of sources of the type "Other sources"

1


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

No
3.1.8 Name of Organisation responsible

No
3.1.9 Main scope

No
3.1.10 List used to build the frame

No
3.1.11 Any possible threshold values

No
3.1.12 Population size

No
3.1.13 Additional comments

No


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

No
3.1.15 Name of Organisation responsible

No
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

No
3.1.30 Name of Organisation responsible

No
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

No
3.1.44 Primary purpose

No
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

No
3.1.52 Name of Organisation

No
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

No
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

No
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? Automatic
3.4.2 What do they target?
3.4.3 If Other, please specify

Before data dissemination, several checks on the internal coherence of the data are carried out. Calculation results are analysed and compared with the results of previous years.
3.5. Data compilation
3.5.1 Describe the data compilation process

EAA data (national level) in current prices and in constant prices (n-1) are compiled. The indicators A,B and C are compiled using data in real values and labour input data.

The first calculation is based on forecasts for agricultural output, intermediate consumption components, producer price indices and price indices for goods consumed in agriculture, the second – based on provisional data from annual statistical surveys. The final calculation is based on the final data from annual statistical surveys and data from other institutions producing official statistics.
3.5.2 Additional comments

_
3.6. Adjustment

No adjustment are applied.


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?

The consistency of the EAA data received is checked.

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

The quality of uploads to production and dissemination databases are checked.
4.1.5 What quality improvements are foreseen? Improve data validation
4.1.6 If Other, please specify

Checks are carried out to ensure the consistency.
4.1.7 Additional comments

_
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

_


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

No.
5.1.2 Please specify any plans to satisfy needs more completely in the future

No.
5.1.3 Additional comments

EAA dataserve the needs of national institutions, governments, research institutions, business concerns and public generally.

Users needs - the data on agricultural industry output, intermediate consumption, value added, factor income, entrepreneurial income, labour input, etc. The data of EAA are used for further calculations of National Accounts and are used for CAP development.
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

Feedback from users is positive.
5.3. Completeness
5.3.1 Data completeness - rate

The data - sets are quite complete.  Rate is 100 percent.
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? Non-response error
6.1.3 If Other, please specify

No.
6.1.4 Additional comments

An exhaustive calculation method is used.
6.2. Sampling error

Not applicable. It is not possible to measure a figure in this context.
6.2.1. Sampling error - indicators

Not available.
6.3. Non-sampling error

Not applicable.
6.3.1. Coverage error

Not applicable.
6.3.1.1. Over-coverage - rate

Not applicable.
6.3.1.2. Common units - proportion

Not applicable.
6.3.2. Measurement error

Not applicable.
6.3.3. Non response error

Not applicable.
6.3.3.1. Unit non-response - rate

Not applicable.
6.3.3.2. Item non-response - rate

Not applicable.
6.3.4. Processing error

Not applicable.
6.3.4.1. Imputation - rate

Not applicable.
6.3.5. Model assumption error

Not applicable.
6.4. Seasonal adjustment

Seasonal adjustment is not applied.
6.5. Data revision - policy

Not applicable.
6.6. Data revision - practice
6.6.1 Data revision - average size

Not applicable.
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? Not 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?

First EEA estimation transmitted to Eurostat 30th November N, second EEA estimation transmitted to Eurostat 31th January N+1. Results published on nationally database: 18th December (first EAA estimation), 12th February (second EEA estimation). Results is published on Eurostat database after validation procedures are done.
7.1.2 When were  the final results for the reference period published?

The final results for the reference period published in October N+1.
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

The EAA data are released in a timely and punctual manner.

Final data: estimates in September of N+1 are published in October N+1;

First estimates: in November of the reference year (N); are published on 18 th December N.

Second estimates: in January of N+1; are published on 12th March N+1.

 


8. Coherence and comparability Top
8.1. Comparability - geographical

To be assessed by Eurostat
8.1.1. Asymmetry for mirror flow statistics - coefficient

Not applicable.
8.2. Comparability - over time
8.2.1 Length of comparable time series

EAA data are comparable over time
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 data are internally coherent and consistent.

EAA data are coherent with development in agricultural production statistics and with the agricultural price statistics. The EAA validation includes comparison with these statistics.

Results in the EAA are compared with results in the FADN.
8.3.2 Describe briefly the results of comparisons

The main indicators (output, intermediate consumption, GVA, etc) in the EAA are comparable with national accounts figures for the agricultural sector.

EAA figures are also compared with data from the Farm Accountancy Data Network (micro-economic statistics) as far as possible and with respect to limitations.

The differences between first/second estimates and final data for the main indicators of the EAA (Factor Income, Labour Input and the Index of real factor income per labour input (Indicator A)) are monitored closely.

Unit Values can to some extent be compared with absolute prices. However, the unit values show prices for average quality for the year, while absolute prices follow a specific, defined quality.
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 applicable.
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 Only source used
Intermediate consumption Only source used
Fixed capital consumption Not used
Compensation of employees Only source used
Taxes Not used
Subsidies Only source 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 Not used
Intermediate consumption Only source used

FISIM (Intermediate consumption items).
Fixed capital consumption Only source used
Compensation of employees Not used
Taxes Not used
Subsidies Not used
Rents Not used
Interest Not used
Gross fixed capital formation Only source used
Labour input Not used
8.6. Coherence - internal

The EAA data set are considered as consistent and the indicators for development provide reliable statistical results.


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

A news release on gross agricultural production is published on December 18 of the reference year. https://osp.stat.gov.lt/informaciniai-pranesimai

 Scientific journal: articles, reports and studies.

https://www.laei.lt/?mt=statistine-informacija

 
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

Information is published in an SL publication Agriculture and Environment (in November).

https://osp.stat.gov.lt/statistikos-leidiniu-katalogas

https://www.laei.lt/?mt=statistine-informacija
9.3. Dissemination format - online database
9.3.1 Data tables - consultations

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

Regular annual data dissemination in the Database of Indicators on website of Statistics Lithuania and Lithuanian institute of agrarian economics.

Database of Indicators  (Agriculture, hunting, forestry and fishing -> Agriculture -> Agricultural production and economic accounts for agriculture -> Economic accounts for agriculture)

https://www.laei.lt/?mt=statistine-informacija&straipsnis=419

 

 
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

https://osp.stat.gov.lt/zemes-ukis1

https://www.laei.lt/?mt=statistine-informacija

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

https://osp.stat.gov.lt/zemes-ukis1

https://www.laei.lt/?mt=statistine-informacija
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

The inventories contribute significantly to the documentation of quality. The inventories help improving the quality of data as the descriptions can be compared with the common methodology.

 
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 Top
10.1 Efficiency gains if compared to the previous quality report Increased use of administrative data
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 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

In the process of statistical data collection, processing and analysis and dissemination of statistical information, Statistics Lithuania fully guarantees the confidentiality of the data submitted by respondents (households, enterprises, institutions, organisations and other statistical units), as defined in the Confidentiality Policy Guidelines of Statistics Lithuania.
11.2. Confidentiality - data treatment
11.2.1 Describe the procedures for ensuring confidentiality during dissemination

Staff sign legal confidentiality commitments on appointment. Guidelines and instructions are provided to staff on the protection of statistical confidentiality in the production and dissemination processes.
11.2.2 Additional comments

_


12. Comment Top

_


Related metadata Top


Annexes Top
COSAEA_NEQ_5_LT_2017_0000_an1.xlsx