Pesticide sales (aei_fm_salpest09)

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

Compiling agency: Federal public service Health, Food Chain Safety and Environment

Time Dimension: 2016-A0

Data Provider: BE7

Data Flow: AEI_ESQRS_A


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: EUROPEAN STATISTICAL DATA SUPPORT

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1. Contact Top
1.1. Contact organisation

Federal public service Health, Food Chain Safety and Environment

1.2. Contact organisation unit

DG4 Pesticides and Fertilizers

1.5. Contact mail address

Eurostation, Place Victor Horta, 40/10, B- 1060 Saint-Gilles, Belgique


2. Statistical presentation Top

Annual data on the sales of each commercial product covered by an authorization for the placing on the market of plant protection products is provided by the owners of the authorizations to the competent authority in application of the royal decree. This data is initially used to determine the fee which is due for the placing on the market of pesticides.
Quantities of commercial products (kg or liters) are converted into active substances (kg) using the respective concentration of each product in active substance.

2.1. Data description

Annual data on the sales of each commercial product covered by an authorization for the placing on the market of plant protection products is provided by the owners of the authorizations to the competent authority in application of the royal decree.  This data is initially used to determine the fee which is due for the placing on the market of pesticides.
Quantities of commercial products (kg or liters) are converted into active substances (kg) using  the respective concentration of each product in active substance.

2.2. Classification system

CAS and CIPAC

2.3. Coverage - sector

Annual data on the sales of each commercial product covered by an authorization for the placing on the market of plant protection products

2.4. Statistical concepts and definitions

No special concept

2.5. Statistical unit

Kg of pesticide active substances

2.6. Statistical population

All the belgian owners of the authorizations to the competent authority in application of the royal decree.

2.7. Reference area

Belgium

2.8. Coverage - Time

One year

2.9. Base period

2016


3. Statistical processing Top
3.1. Source data

Annual data on the sales of each commercial product covered by an authorization for the placing on the market of plant protection products is provided by the owners of the authorizations to the competent authority in application of the royal decree.  This data is initially used to determine the fee which is due for the placing on the market of pesticides.
Quantities of commercial products (kg or liters) are converted into active substances (kg) using  the respective concentration of each product in active substance. 

3.2. Frequency of data collection

One a year

3.3. Data collection

Legal obligation for the producers, importers and exporters of agricultural pesticides to declare the quantity and the volume of products placed on the market.

3.4. Data validation

The reliability of declared quantities of products is controlled for the calculation of the annual fee for the placing on the market.  Anormal and missing quantities are controlled with the declaring companies. Additional controls on data quality should be developped such as the verification of trends and the comparison of the verification of the accountancy of production-import-export-remaining stocks volumes.

3.5. Data compilation

Operations performed on data to derive new information according to a given set of rules.

3.6. Adjustment

Collaboration with the providers.


4. Quality management Top
4.1. Quality assurance

Validation process within the FPS Health (production of data) and within the FPS Economy (data dissemination).

4.2. Quality management - assessment

The reliability of declared quantities of products is controlled for the calculation of the annual fee for the placing on the market.  Anormal and missing quantities are controlled with the declaring companies.
Additional controls on data quality should be developped such as the verification of trends and the comparison of the verification of the accountancy of production-import-export-remaining stocks volumes.
Overestimates are rather unprobable due to the association between declared data and fees.  Under-declarations should be checked by accountancy controls.


5. Relevance Top

Declaration of sales volumes for each commercial product provides en excellent description of the overall market of plant protection market.  Since only final placings on the market in Belgium are declared, double countings of quantities of products are rather limited. 
In the future (from 2012 onwards) the split between professional and home & Garden authorization should allow the differenciation of each sector in the statistics.

5.1. Relevance - User Needs

Apart from direct use by the SPF for the perception of fees, sales data have been regularly used to estimate the quantities of plant protection products used in Belgium and the subsequent risks for man and the environment.  Such estimates should be improved in the future by the distinction between professional and H&G authorizations.

5.2. Relevance - User Satisfaction

Reports are regularly produced by data users which contain description of data quality and limitations.

5.3. Completeness

All plant protection products covered by an authorization for the placing on the market are covered by the statistics. Most of the active substances listed in Eurostat table are covered by nationla statistics.  However, some active substances do not exist on the Belgium market and no sales is therefore reported for these substances.

5.3.1. Data completeness - rate

100%


6. Accuracy and reliability Top
6.1. Accuracy - overall

All  data are take from controlled administrative sources. These data are complete, thus there is need to make estimates.

6.2. Sampling error

No sampling (complete administrative data)

6.2.1. Sampling error - indicators

Not applicable

6.3. Non-sampling error

Not applicable (no survey)

6.3.1. Coverage error

No difference

6.3.1.1. Over-coverage - rate

0%

6.3.1.2. Common units - proportion

100%

6.3.2. Measurement error

No error

6.3.3. Non response error

There is no missing error

6.3.3.1. Unit non-response - rate

0%

6.3.3.2. Item non-response - rate

0%

6.3.4. Processing error

No processing error (all data are strickly checked because it is the basis for calculating taxes)

6.3.4.1. Imputation - rate

No imputation needed.

6.3.5. Model assumption error

Not applicable

6.4. Seasonal adjustment

No seasonal adjustement needed (the reference period covers the whole of the year).

6.5. Data revision - policy

Data are allways revised in collaboration with providers.

No change of values

6.6. Data revision - practice

In cases where administrative data seem abnormal (for example, when great variation with previous year), providers are contacted again.

6.6.1. Data revision - average size

The average over a time period of the revisions of a key item.
The “revision” is defined as the difference between a later and an earlier estimate of the key item.


7. Timeliness and punctuality Top
7.1. Timeliness

Declarations of  sales are provided by the authorization owners for the preceding year to the competent authority (SPF) in  January of each year.  Declarations are subsequently processed and statistics are produced by the end of year N for the sales in year N-1. 

7.1.1. Time lag - first result

12 months

7.1.2. Time lag - final result

12 months

7.2. Punctuality

ok

7.2.1. Punctuality - delivery and publication

ok


8. Coherence and comparability Top
8.1. Comparability - geographical

No relevant

8.1.1. Asymmetry for mirror flow statistics - coefficient

No relevant

8.2. Comparability - over time

Coherent trends are observed over time.

8.2.1. Length of comparable time series

Since 2005

8.3. Coherence - cross domain

Sales statistics will be compared in the future to pesticide use statistics.  No other reference available so far.

No relevant.

8.4. Coherence - sub annual and annual statistics

Sales statistics will be compared in the future to pesticide use statistics.  No other reference available so far.

8.5. Coherence - National Accounts

No relevant

8.6. Coherence - internal

No relevant


9. Accessibility and clarity Top

Statistics are published on the FPS Economy
SMEs, Self-Employed and Energy website (aggregate results).

9.1. Dissemination format - News release

No

9.2. Dissemination format - Publications

Statistics are published on the FPS Economy
SMEs, Self-Employed and Energy website (aggregate results).

9.3. Dissemination format - online database

Statistics are published on the FPS Economy
SMEs, Self-Employed and Energy website (aggregate results).

9.3.1. Data tables - consultations

No information so far

9.4. Dissemination format - microdata access

individual quantities of each active substance are accessible on demand (if not confidential)

9.5. Dissemination format - other

None

9.6. Documentation on methodology

None

9.7. Quality management - documentation

None

9.7.1. Metadata completeness - rate

None

9.7.2. Metadata - consultations

None


10. Cost and Burden Top

All the costs and burdens are for administrative purpose. Additional statistical burden= 0.


11. Confidentiality Top

A property of data indicating the extent to which their unauthorised disclosure could be prejudicial or harmful to the interest of the source or other relevant parties". Please give indication on how the confidentiality problems are treated in your country and how they should be reflected in Eurostat.

11.1. Confidentiality - policy

Confidentiality is provided by an official agreement between the administration (Federal public service Health, Food Chain Safety and Environment) and the Belgian Association of Industry for Crop Protection Products (PHYTOFAR). This agreement is  supported by the Federal Appeal Board for acces to environmental informations (opinion delivered on 9 March 2009).

11.2. Confidentiality - data treatment

Data are hidden while less of 3 providers marketing a substance (hiding for all levels of aggregation, following a cascade process).


12. Comment Top

No further comment.


Related metadata Top


Annexes Top