Economic accounts for agriculture (aact)

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

Compiling agency: National Institute of Statistics  


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 Top
1.1. Contact organisation

National Institute of Statistics

 
1.2. Contact organisation unit

Department of Agriculture and Environmental Statistics
1.5. Contact mail address

Libertatii , No.16, Zip code 050706, Bucharest-Romania


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 

Order of the President of the National Institute of Statistics no. 558/2002 on the Methodology of "Production Account in Agriculture"
2.1.7 Link to the national legislation 

htp://statistici.insse.ro
2.1.8 Responsible organisation for the national legislation 

National Institute of Statistics (NIS -Romania)
2.1.9 Year of entry into force of the national legislation 

2002
2.1.10 Please indicate which variables required under EU regulation are not covered by national legislation, if any.

Not applicable.
2.1.11 Please indicate which national definitions differ from those in the EU regulation, if any. 

Not applicable.
2.1.12 Is there a legal obligation for respondents to reply?  Yes


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, NACE A 01.
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?

Not applicable.
2.8. Coverage - Time

2017
2.9. Base period

2017


3. Statistical processing Top
3.1. Source data

Overall summary

3.1.1 Total number of different data sources used

7
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"

3
3.1.4 Total number of sources of the type "Administrative source"

4
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

0
3.1.8 Name of Organisation responsible

0
3.1.9 Main scope

0
3.1.10 List used to build the frame

0
3.1.11 Any possible threshold values

0
3.1.12 Population size

0
3.1.13 Additional comments

0


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

Economic Activity of Agricultural Production Companies in 2017;

The economic activity of the service units for agriculture in 2017
- mechanization, chemistry, phytosanitary protection -

Economic activity of agricultural companies;

The economic activity of the service units for agriculture in 2017
- breeding and breeding in animal husbandry –

The economic activity of the service units for agriculture in 2017
- land improvement –

The number of items entered in the agricultural register, machinery, agricultural installations, means of transport and agricultural construction existing in households / individual agricultural holdings and units with legal personality at the beginning of 2018 within the locality
3.1.15 Name of Organisation responsible

National Institute of Statistics
3.1.16 Main scope

The purpose of statistical research is to determine the economic accounts in agriculture.
3.1.17 List used to build the frame

Ensure the national legal framework.
Studying the Eurostat methodology and European Union legislation.
Performing annual statistics surveys
Collection of primary data from the NIS specialist departments
3.1.18 Any possible threshold values
3.1.19 Population size
3.1.20 Sample size

Circa 4000
3.1.21 Sampling basis
3.1.22 If Other, please specify
3.1.23 Type of sample design Other
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

Economic Activity of Agricultural Production Companies in 2017;

The economic activity of the service units for agriculture in 2017
- mechanization, chemistry, phytosanitary protection -

Economic activity of agricultural companies;

The economic activity of the service units for agriculture in 2017
- breeding and breeding in animal husbandry –

The economic activity of the service units for agriculture in 2017
- land improvement –

The number of items entered in the agricultural register, machinery, agricultural installations, means of transport and agricultural construction existing in households / individual agricultural holdings and units with legal personality at the beginning of 2018 within the locality
3.3.9 Methods of data collection Postal questionnaire
Other
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? Manual
3.3.13 Please annex the questionnaire used (if very long: please provide the hyperlink)

http://www.insse.ro
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? None
3.4.2 What do they target?
3.4.3 If Other, please specify
3.5. Data compilation
3.5.1 Describe the data compilation process

0
3.5.2 Additional comments
3.6. Adjustment

0


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?

Through its activities, the NIS aimed at ensuring the development of mechanisms and instruments adapted to the performance of statistical activities according to priorities, to consolidate the structure and functionality of the National Statistical System, goodness its ability to meet the needs of users' statistical data and information.

Quality of National Statistical System; Quality Guidelines for Official Statistics.
4.1.3 Has a peer review been carried out? Yes
4.1.4 If Yes, which were the main conclusions?

This Peer Review is part of a series of evaluations, the objective of which is to assess the extent to which the National Statistical Institutes (INS) and the European Statistical System (ESS) comply with the European Statistics Code of Practice. Final Report Perview 2015

 
4.1.5 What quality improvements are foreseen? Improve data validation
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 Improvement
4.2.5 Comparability Improvement
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

We get in touch with data users so their needs are met.
5.1.2 Please specify any plans to satisfy needs more completely in the future

In the future, we want a better collaboration with both reporting units and data users by observing the legal norms, thus creating the premises for increasing the quality of the activity.
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

Not applicable.
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? Very good
6.1.2 What are the main factors lowering the accuracy? Measurement 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

National Institute of Statistics adopted the Revision Politics acording to the European Statistics Code of Practice and Quality Guidelines for Romanian Official Statistics -NIS 2009.
6.6. Data revision - practice
6.6.1 Data revision - average size
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?

entire data series as NACE rev. 2 implementation and ESA 2010
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?

According to the legislation in force and to the deadlines stipulated in the Activity Program.

EEA First Estimates 30 November  2018
7.1.2 When were  the final results for the reference period published?

EEA Second Estimations 31 January 2019
7.1.3 Reasons for possible long production times?

Not applicable
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


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

Time series 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?

0
8.3.2 Describe briefly the results of comparisons
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 Only source used

The agricultural branch production is evaluated for all products based on the quantity and price statistics, except for the agricultural services for which we have value data.
Data on gross production quantities are provided by statistical services (livestock and animal and plant production within NIS.
Intermediate consumption Only source used

 

Data sources are different for agricultural active units with legal personality and for individual agricultural holdings. For agricultural units with legal personality the sources are the exhaustive statistical surveys on the economic activity performed at these units.
Fixed capital consumption Only source used

Consumption of fixed capital is determined separately on four categories of fixed assets: machinery and equipment, plantation of vineyards, buildings and other agricultural (other major land improvement and logistics).
Compensation of employees
Taxes
Subsidies
Rents
Interest
Gross fixed capital formation Only source used

Gross fixed capital formation is calculated for partial posting based on quantitative data and prices. Quantitative data include FBCF plantings, animal FBCF, FBCF of materials (machinery and equipment), FBCF buildings, FBCF of other products. Gross fixed capital formation is calculated for partial posting based on quantitative data and prices.

Quantitative data include FBCF plantings, animal FBCF, FBCF of materials (machinery and equipment), FBCF buildings, FBCF of other products.Price data comes from the Vineyard and Fruit Growing Research Institutes, the INS Price Directorate, the Agricultural Construction Prices Survey, and the Land Improvement Studies and Design Institute.
Labour input


Use of NA-data in EAA calculations

Are NA used as data source for EAA Degree of implication  Please describe briefly the reasons 
Output
Intermediate consumption
Fixed capital consumption
Compensation of employees Only source used

Directorate of National Accounts and Macroeconomic Synthesis in collaboration with the Labor Market Statistics Division.The compensation of employees includes the following: gross wages in cash (basic wages for actual worked time in normal working schedule and extratime, additional payments, bonuses, holiday benefits, education benefits, special family event benefits, etc., gross wages in kind (agricultural products given to the employees), social security contributions of the employees and employers.
Taxes
Subsidies
Rents
Interest
Gross fixed capital formation
Labour input
8.6. Coherence - internal


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://www.insse.ro
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

0
9.3.2 Is an on-line database accessible to users? Yes
9.3.3 Please provide a link

http://statistici.insse.ro/
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

htp://statistici.insse.ro/
9.6.3 Are methodological papers available? Yes
9.6.4 Please provide a link

htp://statistici.insse.ro/
9.6.5 Is a handbook available? Yes
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


10. Cost and Burden Top
10.1 Efficiency gains if compared to the previous quality report On-line surveys
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
11.2. Confidentiality - data treatment
11.2.1 Describe the procedures for ensuring confidentiality during dissemination

The principle of data confidentiality is respected.
Data is disseminated only in aggregate form.
11.2.2 Additional comments


12. Comment Top


Related metadata Top


Annexes Top
ESQRS_ANNEX_EAA_v12.xls