Economic accounts for agriculture (aact)

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

Compiling agency: Hungarian Central Statistical Office


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

Hungarian Central Statistical Office
1.2. Contact organisation unit

Sectoral Statistics Department
1.5. Contact mail address

H-1525 Budapest, P.O.B. 51.
Hungary


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?  Yes
If Yes, please answer all the following questions.  
2.1.6 Name of the national legislation 

The Act CLV of 2016 on Official Statistics provides the general regulatory framework of surveys implemented in Hungary. Surveys of the reference period are included in the yearly National Program of Statistical Data Collection (NPSDC) which is a Government Decree.
2.1.7 Link to the national legislation 

http://www.ksh.hu/obligatory_data_collections

http://www.ksh.hu/docs/hun/info/adatgyujtes/2018/OSAP_MK17210.pdf
2.1.8 Responsible organisation for the national legislation 

Hungarian Government
2.1.9 Year of entry into force of the national legislation 

2018
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?  Yes


Additional comments on data description
2.2. Classification system

The EAA are 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.

The territorial classification of regional data is broken down according to the NUTS classification. Regional data is available at NUTS 2 level.
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 1998.
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 and as indices year n-1.


3. Statistical processing Top
3.1. Source data

Overall summary

3.1.1 Total number of different data sources used

11
The breakdown is as follows: 
3.1.2 Total number of sources of the type "Census"

0
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"

2
3.1.5 Total number of sources of the type "Experts"

1
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
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? Completeness
Outliers
Aggregates
Consistency
3.4.3 If Other, please specify
3.5. Data compilation
3.5.1 Describe the data compilation process

Imputation of primary data:

Imputation of missing values is based on previous period data (from last year survey), taking into account the average change in the values of the two periods. 

 

Calculation of design weights:

Inverse of the units’ selection probabilities for farms which are part of sample frame.

 

 

where

Ni0: number of the holdings observed in the ith county in AC 2010

ni0: number of the holdings observed in the sample districts in the ith county in AC 2010

 

Due to no reweighting nor calibration the final weights are equal to design weights.
3.5.2 Additional comments
3.6. Adjustment

Not 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?

Internal quality report is made annually by statistical domain. It contains detailed information about the quality of statistical products. It helps to evaluate the quality of the statistical products according to the quality components accepted in the HCSO. Furthermore it helps to define the quality improvement measures.
4.1.3 Has a peer review been carried out? Yes
4.1.4 If Yes, which were the main conclusions?

Final data of EAA have been accepted by the staff of the Research Institute of Agricultural Economics and other specialists.
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 Improvement
4.2.4 Timeliness and punctuality Stable
4.2.5 Comparability Stable
4.2.6 Coherence Improvement
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

Received user needs have been met.
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

Data sets are complete at national and regional level.

Data are missing only in a few subcategories.
5.3.2 If not complete, which characteristics are missing?

Data are missing in case of subcategories of Wine output (Table wine, Quality wine) and in case of subcategories of Energy, lubricants consumption (Electricity, Gas, Other fuels and propellants, Other).

 
5.3.3 Additional comments


6. Accuracy and reliability Top
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? Sampling error
Non-response error
6.1.3 If Other, please specify
6.1.4 Additional comments
6.2. Sampling error

Due to the multi-source character of the EAA, it is not possible to measure a figure in this context.

For most of the source statistics (Land use, Crop production, Livestock and animal products) sampling errors are compiled.
6.2.1. Sampling error - indicators

See 6.2. Sampling error
6.3. Non-sampling error

Due to the multi-source character of the EAA, it is not possible to measure a figure in this context.
6.3.1. Coverage error

Due to the multi-source character of the EAA, it is not possible to measure a figure in this context.

For most of the source statistics (Land use, Crop production, Livestock and animal products) coverage error are compiled.
6.3.1.1. Over-coverage - rate

In most of the source statistics (Land use, Crop production, Livestock and animal products) units which do not belong to the target population were not measured or were excluded during processing, so no over-coverage error occurred.
6.3.1.2. Common units - proportion

See 6.3. Non-sampling error
6.3.2. Measurement error

See 6.3. Non-sampling error
6.3.3. Non response error

See 6.3. Non-sampling error
6.3.3.1. Unit non-response - rate
6.3.3.2. Item non-response - rate
6.3.4. Processing error

See 6.3. Non-sampling error
6.3.4.1. Imputation - rate
6.3.5. Model assumption error

Not applied.
6.4. Seasonal adjustment

Not applied.
6.5. Data revision - policy

According to the EU regulation, final Economic Accounts for Agriculture are compiled annually by 30 September following the reference year.

1.       Scheduled revisions:

1.1          Routine revisions: Data revisions are made annually at the time of the finalisation of the annual Economic Accounts for Agriculture.

1.2          Major revisions: there have never been major revisions in this statistical domain.

2.       Non-scheduled revisions:

Data revisions not announced in advance occur only in exceptional cases, namely if any unforeseeable event (data error, technical problem, etc.) makes necessary the revision of data.
6.6. Data revision - practice
6.6.1 Data revision - average size

Routine data revisions are made annually at the time of the finalisation of the annual Economic Accounts for Agriculture.

There was no non-scheduled revision last year in this statistical domain.
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?
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?

December 2017
7.1.2 When were  the final results for the reference period published?

November 2018
7.1.3 Reasons for possible long production times?

The production time of final results was appropriate.
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


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

20 periods (1998-2017)
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?

Crop production

Livestock and animal products

Agricultural producer and input prices

FADN data

National Accounts data

 

 
8.3.2 Describe briefly the results of comparisons

EAA data are coherent with data of agricultural production statistics and agricultural price statistics.

EAA figures can be also compared with FADN data.

Due to the different sector definition EAA data are not directly comparable with National Accounts data. The System of National Accounts provides data on the activities of organisations belongings to the NACE category of agriculture, disregarding if those were agricultural activities. The EAA take into account the total agricultural production and services, broken down by agricultural activities, irrespective of the NACE category of the organisations or individuals that perform these activities. Therefore they contain the agricultural production figures of enterprises not classified under agriculture based on the higher value added in other areas by their main activity.
8.3.3 If no comparisons have been made, explain why
8.3.4 Additional comments
8.4. Coherence - sub annual and annual statistics

First/second estimates and final data are coherent. There are no significant differences, although limited information is available for preliminary data.
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 Secondary source used
Intermediate consumption Secondary source used
Fixed capital consumption Not used
Compensation of employees Not used
Taxes Not used
Subsidies Secondary 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 Not used
Fixed capital consumption Secondary source used

Not relevant.
Compensation of employees Not used
Taxes Main source used

Not relevant.
Subsidies Not used
Rents Not used
Interest Secondary source used

Not relevant.
Gross fixed capital formation Secondary source used

Not relevant.
Labour input Not used
8.6. Coherence - internal

Each set of outputs are internally consistent in the EAA.


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

https://www.agrotrend.hu/piac/agrarpenzek/ket-szazalekkal-merseklodhetett-a-mezogazdasag-kibocsatasa

http://www.ksh.hu/gyorstajekoztatok/#/en/list/msz 
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?
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

http://www.ksh.hu/apps/shop.lista?p_lang=EN&p_temakor_kod=OM
9.3. Dissemination format - online database
9.3.1 Data tables - consultations

Not available.
9.3.2 Is an on-line database accessible to users? Yes
9.3.3 Please provide a link

http://statinfo.ksh.hu/Statinfo/themeSelector.jsp?page=2&szst=OMR
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.ksh.hu/apps/meta.objektum?p_lang=EN&p_menu_id=110&p_ot_id=100&p_obj_id=OMR&p_session_id=73059482
9.6.3 Are methodological papers available? Yes
9.6.4 Please provide a link

http://www.ksh.hu/docs/eng/modsz/modsz41.html

http://www.ksh.hu/docs/eng/xftp/stattukor/mgszlak/emgszlak16m.pdf
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

For the better understanding of data the HCSO publishes the documentation of many different statistical domains including EAA documentation. It comprises the definitions of concepts, the data sources used in a statistical domain, the methods applied, data quality aspects, the most frequently used classifications and other metadata. Metadata and documentations are permanently updated in accordance with changes.

Statistical domains: main metadata of statistics (purpose, content, legal base, data production methodology, data quality, concepts, classifications, data sources, forms of publications)

Concepts and definitions: glossary of statistics, explanation of and cross-references between concepts, changes of definitions over time

Classifications: main classifications used in statistics, their structure, with explanation of items, tables of correspondence between different classifications and the different versions of each classification

Data sources: registers, data surveys, and data received from other sources, serving as a basis for producing statistics.

- Data collections: most important metadata of data collections and surveys, which are the data sources of a statistical domain (enactor, frequency, scope of data suppliers, deadline for data receipt, etc.). Data collections: data collected directly from the observation units for statistical purposes; statistical data collections ordered by the HCSO are listed here.
- Administrative data sources: description of administrative data sources used as data sources for a statistical domain (data provider, frequency, scope of data, etc.). Administrative data: data generated during the implementation of the statutory administrative tasks of the administrative organization (e.g. public registers). Administrative data received by the HCSO are displayed here.
- Non-administrative data sources: description of non-administrative data sources forming the data source of the statistical domain (data provider, frequency, scope of data, etc). Data sources not required by law or created for non-administrative purposes as well as statistical data collections ordered by organizations of the official statistical service other than the HCSO if these are taken over by the HCSO are displayed here.
- Registers: descriptions of HCSO registers and attributes of register units serving as a basis for a statistical domain
9.7.2 Metadata - consultations

Not available.
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
Increased use of administrative data
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 protection of personal data and the publicity of data of public interest are regulated by the following Acts in Hungary: 

- Act CLV of 2016 on Official statistics,

- Act CXII of 2011 on Informational Self-Determination and on Freedom of Information.

Besides the above mentioned legal acts, internal regulations on confidentiality exist within the HCSO. On the top of the regulations concerning data protection stands the Confidentiality Policy of the HCSO, which contains the most important principles regarding statistical confidentiality. The HCSO Regulation on Data Protection sets forth more detailed rules and as a framework regulation is complemented by several other internal regulations. The access to statistical data is regulated in a separate internal regulation (Regulation 18/2014 on the rules of data access) which contains the rules on the six data access channels of the HCSO.

In virtue of the Act CXII of 2011 on Informational Self-Determination and on Freedom of Information and the Act XLVI CLV of 2016 on Official statistics all individual data are qualified as confidential and are treated as such. Survey data are validated and checked exclusively by the staff of HCSO and enumerators are responsible for preventing unauthorized access to the completed questionnaires.

Confidentiality Policy of the HCSO: http://www.ksh.hu/docs/bemutatkozas/eng/avpol_web_eng.pdf

HCSO Regulation on Data Protection: http://www.ksh.hu/docs/szolgaltatasok/adatigenyles/hcso_regulation_on_data_protection.pdf

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

Only non-confidential data are disseminated.
11.2.2 Additional comments


12. Comment Top


Related metadata Top


Annexes Top
ESQRS_ANNEX_EAA_v1
COSAEA_NEQ_5_HU_2017_0000_an1