Crop balance sheets (apro_cbs)

National Reference Metadata in ESS Standard for Crops Balance Sheet Quality Reports Structure (esqrsbs)

Compiling agency: ISTAT ISMEA


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

ISTAT

ISMEA

1.2. Contact organisation unit

Istat - Agriculture statistics unit

Ismea - Business Intelligence and ITC unit

1.5. Contact mail address


2. Statistical presentation Top

The Italian crop balances have been estimated by menas of the joint research work carried out by ISTAT and ISMEA

2.1. Data description

Main characteristics

2.1.1. Describe shortly the main characteristics of the statistics  

Crop Balances for cereals cover supply and use of the main cereals (common wheat & spelt, durum wheat, barley and grain maize & corn-cob-mix) and main oilseeds.


Reference period

2.1.2. Reference period of the data collection 

2020

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 legislation are not covered by national legislation, if any?

Humidity

USE - Domestic - human consumption

USE - Domestic - industrial use

USE - Domestic - industrial bioethanol or bioful use

USE - Domestic - animal feed

USE - Domestic  - crushing

USE - Domestic - seeds

 

2.1.11. Please indicate which national definitions differ from those in the EU legislation, 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 classification system is described in the handbook.

2.3. Coverage - sector

Main cereals and oilseeds

2.4. Statistical concepts and definitions

Statistical concepts and definitions are described in the handbook.

2.5. Statistical unit

[CBS] The whole chain from farms to users. (including traders, people in charge of stocks, a.s.o)

2.6. Statistical population

The whole set of agricultural holdings which produce the kinds of cereals object of interest in the crop balances

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

2017 - Today

2.9. Base period

Not applicable


3. Statistical processing Top

The estimates have been obtained merging various statiscial sources

3.1. Source data

Data source details

 

Crop statistics

Trade statistics

Stock estimates

Domestic use estimates

Census

 

 

 

 Yes

Sample Survey

 

 

 Yes

 Yes

Administrive data source

 Yes

 Yes

 

 

Agro-economic model

 Yes

 

 

 

Expert Estimates

 Yes

 

 

 

Other sources

 

 

 

 


Census

These questions only apply to censuses. If there is more than one census, please describe the main census below and the additional ones in table 3.1 of the annexed Excel file 

3.1.2 Name/Title

Census of agricultural holding referred to 2010

3.1.3 Name of Organisation responsible

ISTAT

3.1.4 Main scope

Structual data for the whole set of agricultural holdings according the the EU Regulation which ruled the past census

3.1.5 List used to build the frame

Provisional farm register

3.1.6 Any possible threshold values

3.1.7 Population size

About 1,6 million units

3.1.8 Additional comments


Sample Survey

These questions only apply to surveys. If there is more than one survey, please describe the main survey below and the additional ones in table 3.1 of the annexed Excel file 

3.1.9    Name/Title

The RICA-REA survey, which si the Italian acronimous for FADN survey

3.1.10  Name of Organisation responsible

ISTAT and CREA

3.1.11  Main scope

Estimation of incomes, costs, value aded, employment of Italian agricultural holdings

3.1.12  List used to build the frame

The most updated farm register (obtaind trough integration among administrative sources)

3.1.13  Any possible threshold values

3.1.14  Population size

About 1,6 million units

3.1.15  Sample size

About 12.000 units

3.1.16  Sampling basis

List

3.1.17  If Other, please specify

3.1.18  Type of sample design

Stratified

3.1.19 If Other, please specify

3.1.20 If Stratified, number of strata

120

3.1.21 If Stratified, stratification criteria

Unit specialization

3.1.22 If Other, please specify

3.1.23 Additional comments


Administrative source

These questions only apply to administrative sources. If there is more than one administrative source, please describe the main source below and the additional ones in table 3.1

3.1.24 Name/Title

Forign Trade Statistics

3.1.25 Name of Organisation responsible

ISTAT - Ministry for Foreign Affairs

3.1.26 Contact information (email and phone)

Roberto Gismondi

3.1.27 Main administrative scope

Monitoring exports from Italy and imports to Italy

3.1.28 Geospatial Coverage

Regional

3.1.29 Update frequency

Monthly

3.1.30 Legal basis

National and international Regulations

3.1.31 Are you able to access directly to the micro data?

No

3.1.32 Are you able to check the plausibility of the data, namely by contacting directly the units?

No

3.1.33 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?

Very good

3.1.34 Please list the main differences between the administrative source and the statistical definitions and concepts

There are not relevant gaps related to definitions

3.1.35 Is a different threshold used in the administrative source and statistical data?

No

3.1.36 If Yes, please specify

3.1.37 Additional comments

Foreign trade statistics are managed by a Directorate which is not engaged in agriculture statistics


Agro-economic model

 If there are different models used, please describe the main one below and the additional ones in table 3.1 of the annexed Excel file

3.1.38 Name/Title

3.1.39 Primary purpose

3.1.40 Legal basis

3.1.41 Update frequency

3.1.42 Expert data supplier

3.1.43 If Other, please specify

3.1.44 How would you assess the quality of those data?

3.1.45 Additional comments

Experts

If there is more than one Expert source, please describe the main one below and the additional ones in table 3.1 of the annexed Excel file 

3.1.46 Name/Title

Experts estimates are needed for many annual crop statistics on agriculture surfaces and prductions

3.1.47 Primary purpose

Data are colected in order to meet national needs and to fulfil the Regulation EC (No) 543/2009 on crop statistics

3.1.48 Legal basis

EU Regulation and the Italian National Statistical Programme

3.1.49 Update frequency

Quarterly

3.1.50 Expert data supplier

Other

3.1.51 If Other, please specify

Statistical offices of the 21 Italian regions

3.1.52 How would you assess the quality of those data?

Good

3.1.53 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 

3.1.54 Name/Title

3.1.55 Name of Organisation

3.1.56 Primary purpose

3.1.57 Data type

3.1.58 If Other, please specify

3.1.59 How would you assess the quality of those data?

3.1.60 Additional comments

 

3.2. Frequency of data collection

Every year but in some cases only in some years

3.3. Data collection

Census

These questions only apply to censuses. If there is more than one census, please describe the main census below and the additional ones in table 3.3 of the annexed Excel file

3.3.1 Name/Title

Census of agriculture

3.3.2 Methods of data collection

Face-to-face interview

3.3.3 If Other, please specify

3.3.4 If face-to-face or telephone interview, which method is used?

Paper questionnaire

3.3.5 Data entry method, if paper questionnaires?

Manual

3.3.6 Please annex the questionnaire used (if very long: please provide the hyperlink)

3.3.7 Additional comments


Sample survey

These questions only apply to surveys. If there is more than one survey, please describe the main survey below and the additional ones in table 3.3 of the annexed Excel file

3.3.8 Name/Title

RICA-REA survey

3.3.9 Methods of data collection

Face-to-face interview

3.3.10 If Other, please specify

3.3.11 If face-to-face or telephone interview, which method is used?

Electronic questionnaire

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

 These questions only apply to administrative sources. If there is more than one administrative source, please describe the main source below and the additional ones in table 3.3 of the annexed Excel file 

3.3.15 Name/Title

Foreign trade statistics

3.3.16 Extraction date

These statistiocs are continuos. Statiostical data are updated monthly

3.3.17 How easy is it to get access to the data?

Direct constant access

3.3.18 Data transfer method

download of tables from website

3.3.19 Additional comments


Experts

If there is more than one other statistical activity, please describe the main one below and the additional ones in table 3.3 of the annexed Excel file 

3.3.20 Name/Title

experts provide monthly estimations concerning agricultural surface uses and preoductions for abouit 130 different kings of cultivations

3.3.21 Methods of data collection

ISTAT receives estimates through a dedicated website

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

Balances have been estimated through integration of different sources and estimates

3.5.2 Additional comments

3.6. Adjustment

At the first stage no specific adjustment has been done


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?

Cross checks with comparable data when existing

4.1.3 Has a peer review been carried out?

No

4.1.4 If Yes, which were the main conclusions?

4.1.5 What quality improvements are foreseen?

Improve data validation
Further training

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

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5. Relevance Top
5.1. Relevance - User Needs

5.1.1 If certain user needs are not met, please specify which and why

no unmet users needs

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

we guess that in order to update crop balanes an additional statistical survey will be needed

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

50%

5.3.2 If not complete, which characteristics are missing?

available information do not cove the use of available production

5.3.3 Additional comments


6. Accuracy and reliability Top
6.1. Accuracy - overall

6.1.1 How good is the accuracy?

Medium

6.1.2 What are the main factors lowering the accuracy?

Sampling error
Coverage error

6.1.3 If Other, please specify

6.1.4 Additional comments

6.2. Sampling error

 These questions only apply to surveys. If there is more than one survey, please describe the main survey below and the additional ones in table 6.2 of the annexed Excel file

6.2.1 Name/Title

RICA REA survey

6.2.2 Methods used to assess the sampling error

Relative standard error

6.2.3 If Other, please specify

6.2.4 Methods used to derive the extrapolation factor

Basic weight
Non-response

6.2.5 If Other, please specify

6.2.6 If coefficients of variation are calculated, please describe the calculation methods and formulas

the square root of the Horvitz-Thompson estimator corrected for non reponse is calculated and divided by the average levels of each variable for which the Coefficient of Variation is calculated

6.2.7 Sampling error - indicators

Please provide the coefficients of variation in table 6.2 of the annexed Excel file

6.2.8 Additional comments

6.3. Non-sampling error

See sections below.

6.3.1. Coverage error

Census

These questions only apply to censuses. If there is more than one census, please describe the main census below and the additional ones in table 6.3 of the annexed Excel file 

6.3.1.1 Name/Title

Over-coverage

6.3.1.2 Does the sample frame include wrongly classified units that are out of scope?

6.3.1.3 What methods are used to detect the out-of scope units?

6.3.1.4 Does the sample frame include units that do not exist in practice?

6.3.1.5 Over-coverage - rate

6.3.1.6 Impact on the data quality

Under-coverage

6.3.1.7 Does the sample frame include all units falling within the scope of this survey?

6.3.1.8 If Not, which units are not included?

6.3.1.9 How large do you estimate the proportion of those units? (%)

[0-100]

6.3.1.10 Impact on the data quality

Misclassification

6.3.1.11 Impact on the data quality

Common units

6.3.1.12 Common units - proportion

6.3.1.13 Additional comments


Sample survey

These questions only apply to surveys. If there is more than one survey, please describe the main survey below and the additional ones in table 6.3 of the annexed Excel file 

6.3.1.14 Name/Title

Over-coverage

6.3.1.15 Does the sample frame include wrongly classified units that are out of scope?

6.3.1.16 What methods are used to detect the out-of scope units?

6.3.1.17 Does the sample frame include units that do not exist in practice?

6.3.1.18 Over-coverage - rate

6.3.1.19 Impact on the data quality

Under-coverage 

6.3.1.20 Does the sample frame include all units falling within the scope of this survey?

6.3.1.21 If Not, which units are not included?

6.3.1.22 How large do you estimate the proportion of those units? (%)

[0-100]

6.3.1.23 Impact on the data quality

Misclassification

6.3.1.24 Impact on the data quality

Common units 

6.3.1.25 Common units - proportion

6.3.1.26 Additional comments


Administrative data

These questions only apply to administrative sources. If there is more than one administrative source, please describe the main source below and the additional ones in table 6.3 of the annexed Excel file 

6.3.1.27 Name/Title of the administrative source

Over-coverage

6.3.1.28 Does the administrative source include wrongly classified units that are out of scope?

6.3.1.29 What methods are used to detect the out-of scope units?

6.3.1.30 Does the administrative source include units that do not exist in practice?

6.3.1.31 Over-coverage - rate

6.3.1.32 Impact on the data quality

Under-coverage

6.3.1.33 Does the administrative source include all units falling within the scope of this survey?

6.3.1.34 If Not, which units are not included?

6.3.1.35 How large do you estimate the proportion of those units? (%)

[0-100]

6.3.1.36 Impact on the data quality

Misclassification 

6.3.1.37 Impact on the data quality

6.3.1.38 Additional comments

6.3.2. Measurement error

Census

These questions only apply to censuses. If there is more than one census, please describe the main census below and the additional ones in table 6.3 of the annexed Excel file 

6.3.2.1 Name/Title

6.3.2.2 Is the questionnaire based on usual concepts for respondents?

6.3.2.3 Number of censuses already performed with the current questionnaire?

6.3.2.4 Preparatory testing of the questionnaire?

6.3.2.5 Number of units participating in the tests? 

6.3.2.6 Explanatory notes/handbook for surveyors/respondents? 

6.3.2.7 On-line FAQ or Hot-line support for surveyors/respondents?

6.3.2.8 Are there pre-filled questions?

6.3.2.9 Percentage of pre-filled questions out of total number of questions

[0-100]

6.3.2.10 Other actions taken for reducing the measurement error?

6.3.2.11 Additional comments


Sample survey

These questions only apply to surveys. If there is more than one survey, please describe the main survey below and the additional ones in table 6.3 of the annexed Excel file 

6.3.2.12 Name/Title

6.3.2.13 Is the questionnaire based on usual concepts for respondents?

6.3.2.14 Number of surveys already performed with the current questionnaire?

6.3.2.15 Preparatory testing of the questionnaire?

6.3.2.16 Number of units participating in the tests? 

6.3.2.17 Explanatory notes/handbook for surveyors/respondents? 

6.3.2.18 On-line FAQ or Hot-line support for surveyors/respondents?

6.3.2.19 Are there pre-filled questions?

6.3.2.20 Percentage of pre-filled questions out of total number of questions

[0-100]

6.3.2.21 Other actions taken for reducing the measurement error?

6.3.2.22 Additional comments

6.3.3. Non response error

Census

These questions only apply to censuses. If there is more than one census, please describe the main census below and the additional ones in table 6.3 of the annexed Excel file

6.3.3.1 Name/Title of the survey

6.3.3.2 Unit non-response - rate

6.3.3.3 How do you evaluate the recorded unit non-response rate in the overall context?

6.3.3.4 Measures taken for minimising the unit non-response

6.3.3.5 If Other, please specify

6.3.3.6 Item non-response rate

6.3.3.7 Item non-response rate - Minimum

6.3.3.8 Item non-response rate - Maximum

6.3.3.9 Which items had a high item non-response rate? 

6.3.3.10 Additional comments


Sample survey

These questions only apply to surveys. If there is more than one survey, please describe the main survey below and the additional ones in table 6.3 of the annexed Excel file 

6.3.3.11 Name/Title of the survey

6.3.3.12 Unit non-response - rate

6.3.3.13 How do you evaluate the recorded unit non-response rate in the overall context?

6.3.3.14 Measures taken for minimising the unit non-response

6.3.3.15 If Other, please specify

6.3.3.16 Item non-response rate

6.3.3.17 Item non-response rate - Minimum

6.3.3.18 Item non-response rate - Maximum

6.3.3.19 Which items had a high item non-response rate? 

6.3.3.20 Additional comments

6.3.4. Processing error

Census

These questions only apply to censuses. If there is more than one census, please describe the main census below and the additional ones in table 6.3 of the annexed Excel file 

6.3.4.1 Name/Title

6.3.4.2 Imputation - rate

6.3.4.3 Imputation - basis

6.3.4.4 If Other, please specify

6.3.4.5 Additional comments


Sample survey

These questions only apply to surveys. If there is more than one survey, please describe the main survey below and the additional ones in table 6.3 of the annexed Excel file 

6.3.4.6 Name/Title

6.3.4.7 Imputation - rate

6.3.4.8 Imputation - basis

6.3.4.9 If Other, please specify

6.3.4.10 How do you evaluate the impact of imputation on Coefficients of Variation?

6.3.4.11 Additional comments

6.3.5. Model assumption error
6.4. Seasonal adjustment

No seasonal adjustment was needed

6.5. Data revision - policy

No data revision policy at the moment

6.6. Data revision - practice

6.6.1 Data revision - average size

No data tevision at the moment

6.6.2 Were data revisions due to conceptual changes (e.g. new definitions) carried out since the last quality report?

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?

30 November of year N+1

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

30 November of year N+1

7.1.3 Reasons for possible long production times?

Lack in data availability, need for estimations, agreement with other stakeholders

7.2. Punctuality

7.2.1 Were data released nationally according to a pre-announced schedule (Release Calendar)?

No

7.2.2 If Yes, were data released on the target date?

7.2.3 If No, reasons for delays?

A data release has not been planned

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

Not applicable

8.2. Comparability - over time

8.2.1 Length of comparable time series

2017 is the first reference year for Crop Balances

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 statistics
Trade Statistics

8.3.2 If Other, please specify

8.3.3 Describe briefly the results of comparisons

Data are coherent

8.3.4 If no comparisons have been made, explain why

8.3.5 Additional comments

8.4. Coherence - sub annual and annual statistics

Not applicable

8.5. Coherence - National Accounts

Not applicable

8.6. Coherence - internal

Not applicable


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

No consultation

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

100%

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

None

10.2 If Other, please specify

10.3 Burden reduction measures since the previous quality report

None

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

It does not apply to crop balances

11.2. Confidentiality - data treatment

11.2.1 Describe the procedures for ensuring confidentiality during dissemination

It does not apply to food balances

11.2.2 Additional comments


12. Comment Top


Related metadata Top


Annexes Top
CropsBS-Annex