Pesticide use in agriculture (aei_pestuse)

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

Compiling agency: Ministère de l'agriculture et de l'alimentation(Ministry of Agriculture, Food and Forestry)


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

Ministère de l'agriculture et de l'alimentation
(Ministry of Agriculture, Food and Forestry)

1.2. Contact organisation unit

SG / SSP / SDSAFA / BSVA : Secrétariat général/Service de la statistique et de la prospective/Sous-direction des statistiques agricoles, forestières et agro-alimentaires/bureau des statistiques végétales et animales

Central secretariat/Statistics and foresight office/Agriculture, forestry and agri-food statistics branch/Plant and animal statistics office

1.5. Contact mail address

BP 32688 - 31326 CASTANET TOLOSAN CEDEX


2. Statistical presentation Top
2.1. Data description

 See sub-categories below.

2.1.1. Main characteristics of statistics

For each active substance listed in the Annex III of the regulation (EC) No 1185/2009, the quantities used in kg and the area treated in ha per crop recorded per crop in a given year.

The data concerns the most representative crops on the french territory. It is collected from a number of surveys on farmers cultivation practices, which are conducted by thematic area : viticulture (grapes for wines), arboriculture, vegetables and crops from arable land (cereals, industrial crops and forage).

2.1.2. Reference period of data collection

data concerns different years according crops :

- viticulture : 2016

- arboriculture : 2015 and 2018

- vegetable : 2018

- crops from arable land : 2017

2.1.3. National legislation
No
2.1.3.1. National legislation - Name
2.1.3.2. National legislation - Link
2.1.3.3. National legislation - Responsible organisation
2.1.3.4. National legislation - Year of entry into force
2.1.3.5. National legislation - Coverage of variables required under EU legislation
2.1.3.6. Divergence national definitions from EU regulation
2.1.3.7. National legislation - Legal obligation for respondents to reply (Yes/No)
2.1.4. Additional comments data description

No additional comments.

2.2. Classification system

The classification used for pesticides corresponds to Annex III of Regulation (EC) No 1185/2009 (http://data.europa.eu/eli/reg/2009/1185/2017-03-09) of the European Parliament and of the Council.

The classification system for crops derives from the Annual crop statistics Handbook 2019 (https://ec.europa.eu/eurostat/cache/metadata/Annexes/apro_cp_esms_an1.pdf).

2.3. Coverage - sector

 See sub-categories below.

2.3.1. Crops covered by the statistics

See the attached Excel file in the Annexes.

2.3.2. Commercial non-agricultural uses of pesticides

Not available.

2.4. Statistical concepts and definitions

The data reported are the quantity of each active substances listed in Annex III of Regulation 1185/2009 contained in plant protection products used on a selected crop, expressed in kg. The area treated with each substance are expressed in hectares.

2.5. Statistical unit

The statistical unit corresponds to a crop parcel, defined as an area of adjoining land planted with the same species, same variety (or group of similar varieties), same planting or sowing date, same previous crop and treatment in terms of homogeneous cultivation practices (fertilisation, tilling, phytosanitary treatments).

2.6. Statistical population

 Depending on the thematic area, the universe from which the sample is drawn comes from different administrative databases :

- viticulture (2016) : vineyard register (customs);

- arboriculture (2015 and 2018): 2012 orchards inventory;

- vegetable crops (2018): CAP graphic parcel register and farms specialized in vegetable production according to the SIRUS directory (national statistical institue directory which contains all the trade units and all the employing units).

- arable crops (2017): CAP graphic parcel register

2.7. Reference area

 See sub-categories below.

2.7.1. Geographical area covered

Overseas territories for crops specific to overseas territories (bananas and sugar cane).

The entire metropolitan territory of the country for all ohter crops.

2.7.2. Inclusion of special territories

Guadeloupe and Martinique for bananas

Guadeloupe, Martinique and Réunion for sugar cane

2.8. Coverage - Time

2010-...

2.9. Base period

Not applicable for Pesticide Use Statistics, because it is not based on an index number of time series.


3. Statistical processing Top
3.1. Source data

See the attached Excel file in the Annexes.

3.2. Frequency of data collection

Every 3 to 5 years for each group of crops.

3.3. Data collection

See the attached Excel file in the Annexes.

3.4. Data validation

The data are checked and validated at the beginning of the collection phase. Incompleteness controls and threshold values are used to alert and check the quality of the data. Controls in the data entry software, used to collect the questionnaires, make it possible to check the dose provided by each phytosanitary product in comparison with the reference dose at the time of registration. This controls also check the consistency between the targets and the crop protection products used.


Data are compared with previous cycles.

3.4.1. Data validation measures
Automatic
3.4.2. Target of data validation measures
Completeness
Outliers
Aggregates
3.4.3. Specification target of data validation
3.5. Data compilation

Initial weights are determined by methodologists. After collection, non-response adjustment is applied. Then, final weights are calibrated on the metropolitan national surface of the considered crop (overseas surface for sugar cane and banana).

3.6. Adjustment

No adjustement.


4. Quality management Top
4.1. Quality assurance

See sub-categories below

4.1.1. Quality management system in organisation
Yes
4.1.2. Specification of implementation

No certified quality assurance system but quality audits on the production of statistical data carried out by expert auditors from the Ministry of Agriculture.

In addition, a quality committee has been set up in conjunction with the national statistical institute.

A statistical operation guide describes the different phases of a statistical operation and the distribution of tasks between the various parties involved.

4.1.3. Peer review
Yes
4.1.4. Main conclusions peer review

No particular remarks on the production of these statistical data from the Ministry of Agriculture.

4.1.5. Future quality improvements
Peer review
4.1.6. Specification of quality improvements
4.1.7. Additional comments quality assurance

No additional comments.

4.2. Quality management - assessment

The statistical processing makes it possible to provide representative data. Nevertheless, data concerning less than 30 statistical units are considered of low quality and are transmitted as an estimated value with the observation status "E".

4.2.1. Overall quality
Improvement
4.2.2. Relevance
Stable
4.2.3. Accuracy and reliability
Improvement
4.2.4. Timeliness and punctuality
Stable
4.2.5. Comparability
Improvement
4.2.6. Coherence
Improvement
4.2.7. Additional comments quality assessment

No additional comment.


5. Relevance Top
5.1. Relevance - User Needs

For each survey, a user group is set up. It includes representatives of the services of the Ministry of Agriculture interested in the results of the survey (Directorate-General for Food, Directorate-General for the Economic and Environmental Performance of Enterprises), regional statistical services (in charge of implementing the survey), representatives of the Ministry for the Environment (statistical and technical services), technical and research institutes, and the agricultural profession (permanent assembly of chambers of agriculture, professional unions).

It meets several times: during the preparation of the survey to express data needs, provide technical input and give opinions on the scope of the survey and the questionnaire; at the end of the survey for a presentation of the main results and the technical publications envisaged.

At the end of the various surveys, several accesses to individual data were granted to technical or research institutes that had requested them after going through the secrecy committee. Aggregated tables are also produced by the Statistics and foresight office in response to specific requests from other ministerial departments, technical or research institutes and technical groups.

5.1.1. Unmet user needs

No unmet user needs identified.

5.1.2. Plans for satisfying unfilled user needs

No unmet user needs identified.

5.1.3. Additional comments user needs

No additional comments.

5.2. Relevance - User Satisfaction

User satisfaction with the quantities of active substances used is not measured.

5.2.1. User satisfaction survey
No
5.2.2. Year of user satisfaction survey

No satisafaction survey.

5.2.3. Satisfaction level
5.2.4. Additional comments user satisfaction

No additonal comments.

5.3. Completeness

See sub-category below.

5.3.1. Data completeness - rate

Not applicable for Pesticide Use Statistics because in this data collection, there is no target on the number of data. Member States are asked to collect data on representative crops without stipulating the number of crops.


6. Accuracy and reliability Top
6.1. Accuracy - overall

Errors on the commercial product used are possible especially as there are several products with very similar trade names. However, this type of non-measurable error does not necessarily imply an error in the quantification of the active substances provided.

Some errors in quantity of active substance may be due to an incorrectly filled out part of the treated area (especially with regard to herbicides).

In addition, when the plot is not treated entirely, there may be confusion between the dose applied only to the treated area or and the overall dose per hectare. But the data is collected on Tablet PCs ; minor and major checks are defined, which increases the quality of data entry and limits outliers. Calculation tools are also embedded in the application, such as per-hectare dose calculations for the information given to the plot by the farmer.

6.1.1. Grading of accuracy
High
6.1.2. Factors lowering accuracy
Measurement error
6.1.3. Specification of factors

No

6.1.4. Additional comments overall accuracy

No additional comments.

6.2. Sampling error

See the attached Excel file in the Annexes.

6.3. Non-sampling error

See sub-categories below.

6.3.1. Coverage error

See the attached Excel file in the Annexes.

6.3.2. Measurement error

See the attached Excel file in the Annexes.

6.3.3. Non response error

See the attached Excel file in the Annexes.

6.3.4. Processing error

See the attached Excel file in the Annexes.

6.3.5. Model assumption error

Not applicable

6.4. Seasonal adjustment

Seasonal adjustment is not applicable to pesticide use statistics since all plant protection treatments associated directly or indirectly with the crop during the reference period are reported.

6.5. Data revision - policy

None

6.6. Data revision - practice

None

6.6.1. Data revision - average size

None

6.6.2. Data revisions - conceptual changes
No
6.6.3. Reason for revisions

None

6.6.4. Impact of revisions
6.6.5. Additional comments data revisions

No additional comments.


7. Timeliness and punctuality Top
7.1. Timeliness

Data are not disseminated on a national level.

7.1.1. Time lag - first result

Not applicable here

7.1.2. Time lag - final result

Not applicable here

7.1.3. Reasons for possible long production times?
7.2. Punctuality

Data are not  disseminated yet at national level.

7.2.4. Punctuality - delivery and publication

Not applicable here

7.2.1. Data release according to schedule
7.2.2. Data release on target date
7.2.3. Reasons for delays

Not applicable here


8. Coherence and comparability Top
8.1. Comparability - geographical

Not available.

8.1.1. Asymmetry for mirror flow statistics - coefficient

Not applicable, because there are no mirror flows in Pesticide Use Statistics.

8.2. Comparability - over time

Not applicable for Pesticide Use Statistics, because it is not based on time series.

8.2.1. Length of comparable time series

Not applicable for Pesticide Use Statistics, because it is not based on time series.

8.3. Coherence - cross domain

Comparisons between the quantities used and the quantities sold have been carried out on some active substances.

The data do not match for glyphosate : sales are higher than use. But this can be explained because glyphosate uses are not restricted to agriculture.

For ohter herbicides, quantity used for arable land crops in 2017 and viticulture in 2016 corresponds to 80% of the average sales on 2016 and 2017.

Further comparison works will be carried out.

8.4. Coherence - sub annual and annual statistics

Not applicable for Pesticide Use Statistics, because the data collection is based on a five-year period.

8.5. Coherence - National Accounts

Not applicable, because it has no relevance for national accounts.

8.6. Coherence - internal

A good internal coherence of the data was ensured due to the harmonised classification of pesticides and crops.


9. Accessibility and clarity Top
9.1. Dissemination format - News release

No publication of news release.

9.1.1. Publication of news releases
No
9.1.2. Link to news releases
9.2. Dissemination format - Publications

The dissemination format is currently being studied.

9.2.1. Production of paper publication
No
9.2.2. English paper publication
No
9.2.3. Production of electronic publication
Yes
9.2.4. English electronic publication
No
9.2.5. Link to publications

The publication will be accessible from the website :

https://agreste.agriculture.gouv.fr/agreste-web/

9.3. Dissemination format - online database

The dissemination format is currently being studied.

9.3.1. Data tables - consultations

Not relevant.

9.3.2. Accessibility of on-line database
No
9.3.3. Link to on-line database

The publication will be accessible from the website :

https://agreste.agriculture.gouv.fr/agreste-web/

9.4. Dissemination format - microdata access

Micro-data are accessible to researchers on request via a secure access service (CASD).

9.4.1. Accessibility of micro-data
Yes
9.4.2. Link to micro-data
9.5. Dissemination format - other
9.6. Documentation on methodology

A methodological paper will be disseminated at the same time as the data.

9.6.1. Availability of national reference metadata
No
9.6.2. Link to national reference metadata
9.6.3. Availability of methodological papers
No
9.6.4. Link to methodological papers
9.6.5. Availability of handbook
No
9.6.6. Link to handbook
9.7. Quality management - documentation

There is no document available on this topic.

9.7.1. Metadata completeness - rate

Not relevant.

9.7.2. Metadata - consultations

Not relevant.

9.7.3. Availability of quality report
NO
9.7.4. Link to quality report


10. Cost and Burden Top

Spread over the reference period (5 years), the preparation and follow-up of surveys by their respective managers represents 4 full-time equivalents for one survey. In the regions, the burden for a survey is estimated at 15 full-time equivalents (excluding interviewers). The cost of the 5 surveys carried out during the reference period is approximately 6,400,000 euros. The burden on the respondent is approximately between 1 and 1.5 hour.

10.1. Efficiency gains
Further automation
10.2. Specification efficiency gains

The construction of the reference frame of composition of the active substances and the calculation of the quantities of active substances from commercial products have been made reliable and automated.

10.3. Measures to reduce burden
None
10.4. Specification burden reduction


11. Confidentiality Top
11.1. Confidentiality - policy

Confidentiality rules are followed for the publication of data (Law No. 51-711 of 7 June 1951 on the obligation, coordination and secrecy of statistics). Micro-data are accessible on a secure site (CASD), researchers who request it and after passing through the secrecy committee (CNIS). Any publications by these researchers must also comply with these confidentiality principles.

11.1.1. Transmission of confidential national data to Eurostat
Yes
11.1.2. Confidentiality according to Regulation
Yes
11.1.3. Data confidentiality policy

Data concerning less than 3 units or data for which a single unit represents more than 85% of the value of the data is published with confidential status.

11.2. Confidentiality - data treatment

Data concerning less than 3 units or data for which a single unit represents more than 85% of the value of the data is published with confidential status.

11.2.1. Procedures for confidentiality

Data concerning less than 3 units or data for which a single unit represents more than 85% of the value of the data are detected automatically.

11.2.2. Additional comments confidentiality - data treatment


12. Comment Top


Related metadata Top


Annexes Top
annex excel file