Economic accounts for agriculture (aact)

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

Compiling agency: 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

Central Statistical Office
1.2. Contact organisation unit

Agricultural Department

Balances and Economic Accounts in Agriculture Section
1.5. Contact mail address

00-925 Warszawa, Al. Niepodległości 208, Poland

e.zbrzeska@stat.gov.pl


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.

Data includes information concerning:

- crop output - aoen area, crops and yields of basic cultivation i.e raw (not) processed products of plant origin

-animal output, i.e. production of animals for slaughter, raw (not processed) products of animal origin as well as the increase in farm animal stocks (livestock - the basic and working herd) which include: cattle, pigs, sheep, horses and poultry,

- intermediate consumption,

- investment outlays of fixed assets excluding interests from credits,

- estimation of labout input in agriculture (in AWU),

- subsidies on products and subsidies on production.


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 

Law of 29 JUne 1995 on Official Statistics of statistical surveys of official statistics is an annual one, determined annually by the Council of Ministers.

Statistical Research Program of Public Statistics for 2018, based on regulation of the Council of Ministers of December 19, 2017, on the program of statistical surveys of official statistics for 2018 (Journal of Laws No. 2471).
2.1.7 Link to the national legislation 

http://isap.sejm.gov.pl/isap.nsf/download.xsp/WDU19950880439/U/D19950439Lj.pdf
http://isap.sejm.gov.pl/isap.nsf/DocDetails.xsp?id=WDU20160001426
http://prawo.sejm.gov.pl/isap.nsf/DocDetails.xsp?id=WDU20170002471
2.1.8 Responsible organisation for the national legislation 

The fundamental source of Polish Law - statues - are passed by the Sejm (the lower chamber of Polish Parliament);

regulations executive acts passed by the statues' authorized bodies (i.e. the President, the Prime Minister, the Council of Ministers, and the National Broadcasting Council).
2.1.9 Year of entry into force of the national legislation 

The present statistical law came into force in 1995.

The law of 26 february 1982 on State statistics (Journal of Laws 1989, No. 49, item 221) became null and avoid.
2.1.10 Please indicate which variables required under EU regulation are not covered by national legislation, if any.

Coverage of the variables reqiured under EU regulation.
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

Statistical surveys may be conducted on an obligatory  or voluntary basis,

Statistical surveys involving natural persons, except for censuses, shall be conducted on a voluntary basis.

The conducting of a census which imposes the obligation to provide information on natural persons shall require a separate law.

The procedure for imposing responsibilities related to statistical surveys other than census, shall be determined by Law of Official Statistics.

 
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.

The polish equivalent of NACE is PKD 2007 -  Polish Classification of Activities. Objects are divided  into groups using the kind-of activity method and concerns agricultural activity in the area of crop and animal production according to Section A, Division 01.

the classification of Fixed Assets  (KŚT)  on the basis of which the value fixed assets are grouped according to types of  fixed assets.
2.3. Coverage - sector

EAA cover the Agricultural sector.

- crop output

-value of crop output – in division into: products from own output that are utilized for production purposes (intra-unit consumption),  own consumption  of agricultural products from own production, market output - procurement, sales on market places and increase in inventory products  of plant origin

 - information  about sharing (allocation) of cereals, potatoes and vegetables intra-unit consumption on the basis of the unpublished data from CSO or on the basis of estimates of distribution of the product in the previous years,

 -value of animal output – breeding animals, state of farm animals at the end of the previous year and the end of the current year, increase in animal stocks, import, export, production of animals for slaughter in division into procurement, sales on market places, own consumption,

-value of products of animal origin – (milk, eggs, wool and others) in division into own consumption, intra-unit consumption, procurement, sales on market places,

-prices, value and quantities of agricultural products purchased by economic entities directly from producers,

- prices received by farmers at marketplaces,

- prices of non-consumer goods and services

- value of production and consumption of mineral or chemical fertilizers,

- value of sales and consumption of plant protection products,

- value of supply in qualified seed material,

 - outside services, transport costs, the consumption of purchased liquid fuels and lubricants, electricity,

 - outlays on fixed assets, gross value of fixed assets,

 -value of direct payments (a single payments, supplementary payments) and support for less-favoured areas (LFS) and payments connected with programs of the Common Agricultural Policy (agro-environmental programs under Rural Development Program RDP), with programs environmental protection and conservation of habitats with high natural value and maintenance of animal genetic resources and information about value of refund of excise tax included in the price of  diesel oil used for agricultural production,

- number of Annual Work Unit,

 
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.

The main units from which the information provided are used in EAA:

1. Agricultural holdings:

- natural person’s holding (private farm),

- the holding of a legal persons or an organizational unit without a legal personality; 

2.Legal persons and  organizational entities without a legal personality (including civil law partnerships and unlimited partnerships) and natural persons that purchase agricultural products,

3.Marketplaces,

4. Producers and importers of plant protection products,

5. Producers and importers of fertilizers,

6. Producers and importers of feedingsstuffs,

7. Retail outlets or entities performing non-consumer services in selected areas of research the prices within the country,
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.

Whole Country - Poland.

EAA are made for the country level, based on the results on a number of statistical surveys.

 

Agricultural surveys have not included owners of agricultural land who do not conduct agricultural activities, and owners of less than 1 ha of agricultural land who conduct agricultural activities on a small scale (below the specified thresholds).
2.7. Reference area
2.7.1 Geographical area covered

The entire territory of the country.

Total area of poland (as of 31.12.2017) in km2

312 679 km2
2.7.2 Which special Member State territories are included?
2.8. Coverage - Time

Calendar year
2.9. Base period


3. Statistical processing Top
3.1. Source data

Overall summary

3.1.1 Total number of different data sources used

Not applicable
The breakdown is as follows: 
3.1.2 Total number of sources of the type "Census"

5
3.1.3 Total number of sources of the type "Sample survey"

15
3.1.4 Total number of sources of the type "Administrative source"

5
3.1.5 Total number of sources of the type "Experts"

2
3.1.6 Total number of sources of the type "Other sources"

none


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

Not applicable
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

Eksperts from  Institute of Agriculture and Food Economics - National Research Institute
3.1.44 Primary purpose

Estimations of the volume of production certain items of first estimate EAA:

- cereals, forage plants, protein crops, oilseeds and oleaginous fruits, fruits and others production;

- compensation of employees,

- investment cost in plantations,
3.1.45 Legal basis

Statistical Research Program of Public Statistics
3.1.46 Update frequency Annual
3.1.47 Expert data supplier Scientific organisation
3.1.48 If Other, please specify
3.1.49 How would you assess the quality of those data? Very good
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
3.4.2 What do they target? Consistency
3.4.3 If Other, please specify
3.5. Data compilation
3.5.1 Describe the data compilation process

Data are compiled according to the methodological inventory on the compiling of Economic Accounts for Agriculture and this is consistent with the National Accounts methodology.
3.5.2 Additional comments
3.6. Adjustment

Adjustments are carried out on the basis of updates of product prices and in the case of differences in sown area between annual surveys (and agricultural census).

Correction of production are made using information on particular agricultural markets (production balance) from Ministry of Agriculture and Rural Development, National Support Centre for Agriculture and representatives

of assiociated producers and processing industry. Information obtained from experts from the Team of the Statistics Poland and Market Research Department of the Institite of Agriculture and Food Economics are used.

Estimation of production are regularly published in the Market Analyses publication concerning cereals, rape, potatoes, fruits and vegetables, milk, meat, eggs and food market as a whole and the means of production for agriculture.

For example - the accounts of values of wheat and rye production in relation to preliminary data shown in th balace sheet of their allocation are adjusted in terms of values and the amount of bran.

The statistics on the amount of bran are related to agrregate values, thus disision by quantity for wheat bran and rye bran is set on the basis of the proportion of wheat and rye for own consumption.

In the case of oilseeds, a correction is made regarding the intra-unit consumption and the increase in inventory, which should correspond to the quantities of oilseeds in total from voivodship tables.

Voivodship tables are prepared after the development of national data.


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?

Implementation of regulations No. 35 of the President of the Statistics Poland of 28 December 2011 in the case of measurement, evaluation and monitoring of the quality of statistical surveys in units

official statistics (Department of Methodology, Standards and Registry) ​​with the participation of Mathematical Monitors in the Statistical Office in Łódź (US Łódź) prepared:

- for the plan in 2018, including the plan review of the quality of statistical surveys for 2018, which has been reviewed by Methodological Use on training on 09/02/2018,

- information on priorities implemented in 2017.

The basis for choosing tests for good quality in 2018. This is a sign of quality

in the database http: //raportjakosci / and the accompanying metadata, as well as proposals reported by the CSO departments and statistical offices.

As a result of the conducted by the Department of MS and US Łódź, it is necessary to have a quality review goal statistical surveys in 2018 were:

- decision-making process organizational and cooperative;

-recognizing the possibilities of fast processing

- coverage and lack of answers in statistical surveys;

- evaluation of the selection of units for the file and methods of sample selection;

- cognitive assessment of the question on reporting forms;

- assessment which retains high time respondents;

- Function recognition;

- Analysis of the possibilities of faith in the punctuality of statistical surveys and studies based on them

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

In connection with the conducted on 23-27.02.2015. in the Central Statistical Office, a partner review in 2018 continued implementation of the recommendations formulated in its course.

Activities were concerned:

· Modernization of processes related to statistical production;

· Review of human resources including their optimization by delegating tasks and liquidation unoccupied work positions in order to use the potential of employees more effectively;

· Implementing a remuneration policy that would be competitive with other government agencies through obtaining funds from Operational Programs and applying to the Minister of Finance

for additional remuneration funds;

· Conducting quality reviews of statistical surveys with the participation of external users;

· Preparation of IT tools supporting the user needs research system;

· Carrying out standardization work aimed at ensuring comparability and coherence, and integration of information in various metadata areas in the System of Statistical Metadata, includind

verification of metadata areas concerning variable descriptions and variable packages in terms of needs

the program of public statistics research and the sharing of result data. Currently Research program statistical public statistics PBSSP is available in the interactive form on the website.

Starting work on the development of new metadata elements, eg data validation;

· Successive shortening of time between collecting data and making it available to users as a result of modernization of statistical methods, including the implementation of standard software in the System

Statistical Data Processing (SPDS);

· Increasing the offer of unit data provided in a safe work environment.

Detailed information on the result of monitoring the implementation of improvement actions by the Central Statistical Office after partner's review as at December 31, 2017 posted on the GUS website in the tab

Metainformacje / Quality in statistics / Partnership review:
4.1.5 What quality improvements are foreseen?
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

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

-
5.1.3 Additional comments

-
5.2. Relevance - User Satisfaction
5.2.1 Has a user satisfaction survey been conducted? No
If Yes, please answer all the following questions 
5.2.2 Year of the user satisfaction survey
5.2.3 How satisfied were the users?
5.2.4 Additional comments
5.3. Completeness
5.3.1 Data completeness - rate

100 %
5.3.2 If not complete, which characteristics are missing?

-
5.3.3 Additional comments


6. Accuracy and reliability 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? Other
6.1.3 If Other, please specify

EAA are a secondary research. EAA based on information provided by the original research units, that is  on the results of sample surveys, census, administrative data and expert estimations.
6.1.4 Additional comments

The monitoring of statistical surveys is carried out through the preparation of quality reports, which are prepared by the author's units.Reports describe statistical surveys most often according to six quality measures, ie relevance, accuracy, timeliness, accessibility and transparency, comparability of data and consistency with other surveys.
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

Not applicable
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?

In the second estimates 2011 was changed  the  formulas for the calculation volume and price indices

 
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?

Depending on the surveys carried out by the author's units and introducing any adjustments but according to the EU requirements.
7.1.2 When were  the final results for the reference period published?

EAA are not published by Poland.
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


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
8.2.2 Have there been major breaks in the time series?
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?

Comparisons are made with data transferred to National Accounts and with published data on plant and animal production, prices, foreign trade and trade in using of means of production in agriculture.
8.3.2 Describe briefly the results of comparisons

Correction are made in EAA or in the data source.
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
Intermediate consumption
Fixed capital consumption
Compensation of employees
Taxes
Subsidies
Rents
Interest
Gross fixed capital formation
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
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? No
9.1.2 If Yes, please provide a link
9.2. Dissemination format - Publications
9.2.1 Do you produce a paper publication? No
9.2.2 If Yes, is there an English version?
9.2.3 Do you produce an electronic publication? No
9.2.4 If Yes, is there an English version?
9.2.5 Please provide a link
9.3. Dissemination format - online database
9.3.1 Data tables - consultations

Consultation records are not kept. EAA are not published on the CSO website. The publication of data after the Agricultural census and the introduction of changes in the method of abtaining data in the production

of crop and anilmals in the years 2019-2023 is planned.

A platform for exchanging opinions on the economic aspects of agriculture will be made.

 

 
9.3.2 Is an on-line database accessible to users? No
9.3.3 Please provide a link
9.4. Dissemination format - microdata access
9.4.1 Are micro-data accessible to users? No
9.4.2 Please provide a link
9.5. Dissemination format - other
9.6. Documentation on methodology
9.6.1 Are national reference metadata files available? No
9.6.2 Please provide a link
9.6.3 Are methodological papers available? No
9.6.4 Please provide a link
9.6.5 Is a handbook available? No
9.6.6 Please provide a link
9.7. Quality management - documentation
9.7.1 Metadata completeness - rate
9.7.2 Metadata - consultations
9.7.3 Is a quality report available? No
9.7.4 Please provide a link


10. Cost and Burden Top
10.1 Efficiency gains if compared to the previous quality report Further training
10.2 If Other, please specify
10.3 Burden reduction measures since the previous quality report More user-friendly questionnaires
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
11.2.2 Additional comments


12. Comment Top


Related metadata Top


Annexes Top
ESQRS_ANNEX