Economic accounts for agriculture (aact)

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

Compiling agency: The Statistical Office of the Slovak Republic The Research Institute of Agricultural and Food Economics (RIAFE)

Time Dimension: 2017-50

Data Provider: SK1

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

The Statistical Office of the Slovak Republic

The Research Institute of Agricultural and Food Economics (RIAFE)

1.2. Contact organisation unit

Agricultural Statistics Department

1.5. Contact mail address

Štatistický úrad Slovenskej republiky

Miletičova 3

824 67 Bratislava

Slovenská republika

 

 


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?

None.

2.8. Coverage - Time

2017

2.9. Base period


3. Statistical processing Top
3.1. Source data

Overall summary

3.1.1 Total number of different data sources used

14

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

4

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

5

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

5

3.1.5 Total number of sources of the type "Experts"

0

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

 

No census exclusively for the EAA.

 

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

No sample survey exclusively for the EAA.

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

No administrative source exclusively for the EAA.

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

No experts exclusively for the EAA.

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

No other statistical activity.

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

No census exclusively for the EAA

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

No sample survey exclusively for the EAA

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

No administrative source exclusively for the EAA.

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 expert exclusively for the EAA.

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? Completeness
Aggregates
Consistency
Outliers
3.4.3 If Other, please specify
3.5. Data compilation
3.5.1 Describe the data compilation process

In the process of EAA compilation, data on NUTS I and NUTS II levels are used. A lot of raw data exist in the form of individual data or data at more detailed regional levels (NUTS III level…) etc. To compile the data for the purpose of EAA, data aggregation is used in which case the respective rules of law must be observed.

3.5.2 Additional comments
3.6. Adjustment

Data collected and used by RIAFE for the purposes of EAA compilation are not adjusted or modified. The only exception was adoption of EURO currency in 2009 when all data series prior 2009 denominated in Slovak crowns had to be recalculated from national currency to EURO currency.


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?

ISO 9001

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

To develop a comprehensive conceptual material on the acquisition, management and use of the administrative sources while respecting the requirements of the Code of Practice, as amended by the QAF, with an emphasis on reducing the burden on respondents.

To analyze variables from statistical surveys to replace data with data from administrative sources.

To propose framework agreements on provision of administrative sources with all administrative sources providers.

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 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

There are no user needs unmet.

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

No plans.

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

There has been no satisfaction survey conducted. Nevertheless, the responses from the key users, such as the Ministry of Agriculture and Rural Development of the Slovak Republic, universities, agriculture and food chambers, experts are positive.

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 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
Other
Non-response error
6.1.3 If Other, please specify
6.1.4 Additional comments
6.2. Sampling error
6.2.1. Sampling error - indicators
6.3. Non-sampling error
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
6.5. Data revision - policy

The official data revison policy is laid down in the Decision of the President of the Statistical Office of the SR issuing the revision policies of the Statistical Office of the SR. It describes the reasons for revisions, type of revisions, calendar of revisions and dividing of revisions by the statistical domains.

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

There has been data revisions made between the first estimates, the second estimates and the final values of the items of the EAA. The estimates depend on the completness of data which is at disposal of the Statistical Office of the SR in the moment of the EAA compilation. The revisions can concern more key items, so there is not possible to quantify average size of the one key item.

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?

The main reason for revisions was the data refinement between the first estimates and the second estimates and between second estimates and final data as a result of more accurate and update data which was at disposal of the Statistical Officed of the SR.

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 first results are not published. The Statistical Office of the SR publishes only the definitive results of the EAA.

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

The final results are usually published in December.

7.1.3 Reasons for possible long production times?

n/a

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

0 days. The target date and the delivery date are usually the same.


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

23 reference periods since the year 2005

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?

The data from the EAA has been compared on the corresponding data of the National Accounts.

8.3.2 Describe briefly the results of comparisons

There are some differences between data from the EAA and the National Accounts. The differences are based on the different methodology both approaches, for example in the National Accounts the agricultural production (output) contains also the household sector - the production for own final use is added to the households 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
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 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
8.6. Coherence - internal


9. Accessibility and clarity Top
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
9.3. Dissemination format - online database
9.3.1 Data tables - consultations

n/a

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

http://datacube.statistics.sk/

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

There is no metadata available.

9.7.2 Metadata - consultations

None

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 On-line surveys
Further automation
10.2 If Other, please specify
10.3 Burden reduction measures since the previous quality report More user-friendly questionnaires
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

The Statistical Office of the SR has adopted its own Directive on the protection of confidential statistical data, where the issue of confidentiality is described in detail.

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

The Statistical Office of the Slovak Republic usually uses 2 rules:

1. Minimum Frequency Rule - the cell is sensitive if the number of reporting units responding to it is less than a predetermined value (3);

2. Rule p% - the cell is sensitive if any respondent contributing to it estimates the value of another respondent's contribution in that cell with an error less than p%.

11.2.2 Additional comments


12. Comment Top


Related metadata Top


Annexes Top
Annexes to the points 3.1 and 3.3