Pesticide sales (aei_fm_salpest09)

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

Compiling agency: Institut National de la Statistique et des Etudes Economiques (STATEC), Luxembourg

Time Dimension: 2016-A0

Data Provider: LU1

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

Institut National de la Statistique et des Etudes Economiques (STATEC), Luxembourg

1.2. Contact organisation unit

Business Statistics Division (ENT)

1.5. Contact mail address

13 Rue Erasme, 1468 Luxembourg


2. Statistical presentation Top
2.1. Data description

This quality report refers to the production of pesticides sales statistics related to reference year 2016. Pesticides sales statistics are produced according to the ANNEX I of the EU REGULATION (EC) No 1185/2009 OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL of 25 November 2009 concerning statistics on pesticides.

 

The statistics on pesticides sales cover the annual quantity of authorized substances (expressed in kg) contained in pesticides placed on the market either by vendors (retailers or wholesalers) or cooperatives. The data collection is carried out through the medium of a census.

2.2. Classification system

HARMONISED CLASSIFICATION OF SUBSTANCES

As defined in the Annex III of the EU REGULATION (EC) No 1185/2009 of the European Parliament and of the Council of 25 November 2009 concerning statistics on pesticides.

 

Since reference year 2016 the updated classification system has been used according to the Commission Regulation 2017/269 of 16 February 2017 amending Regulation (EC) No 1185/2009 of the European Parliament and of the Council concerning statistics on pesticides, as regards the list of active substances.

2.3. Coverage - sector

Enterprises placing pesticides on the market are mainly classified in the divisions A01, G46 and G47 of the NACE (Rev.2) classification. These enterprises are mainly wholesalers, retailers or in a minor extend florists and agricultural cooperatives.

2.4. Statistical concepts and definitions

Cf. Article 2 of the EU REGULATION (EC) No 1185/2009 of the European Parliament and of the Council of 25 November 2009 concerning statistics on pesticides.

2.5. Statistical unit

The statistical unit is the “enterprise”, which in the majority of cases corresponds to the legal unit. The observation unit corresponds to the legal unit.

2.6. Statistical population

The target population is generated by using either the list of enterprises authorised to sell pesticides provided by ASTA ( “service technique de l’agriculture”) and the business register of STATEC (national statistical institute). The list received from ASTA is enriched with enterprises from the business register that are known to sell pesticides, though as a secondary activity. Those are wholesalers and supermarkets respecting the size criteria of more than 45 employees or a turnover (excluding VAT) of more than 7 million EUR per annum, as well as florists employing more than 20 employees.

In addition, Intrastat and Extrastat data are analysed in order to identify potential enterprises that might be included in the target population.

2.7. Reference area

The data cover the sales declared by national enterprises. Non-resident enterprises which might provide the national market with PPP (as a seller to the final consumer) are hence not covered.

The volume of some active substances might be overvalued for data series 2011-2013 since the questionnaire then used did not allow for the distinction between sales to the final user and sales to contractors or retail sellers abroad. When PPPs are sold to non-resident companies, they should be considered as an export, and thus not be recorded in the national statistics.

Since reference year 2014, the questionnaires explicitly mention that possible exports to contractor or retail seller abroad must be excluded.

2.8. Coverage - Time

Annual data

2.9. Base period

n.a.


3. Statistical processing Top
3.1. Source data

In Luxembourg, there are no administrative sources related to the quantity of pesticides placed on the market. Thus, the data on pesticides are collected through a census directly from the businesses.

Enterprises are asked to provide the annual quantity sold or placed on the market for each product contained in list of products, which are identifiable either by their brand name or authorisation number. Besides the quantity, they provide the percentage of the quantity provided by foreign and national suppliers.

3.2. Frequency of data collection

Yearly

3.3. Data collection

STATEC collects, by the means of an annual census, the quantity of pesticides placed on the market by resident businesses that are part of the target population.

Enterprises are invited to complete an electronic questionnaire that covers the list of all the products that are authorised for sale on the domestic market. They furthermore indicate the percentage of the quantity provided by domestic and foreign suppliers.

These additional variables are used in order to eliminate the potential double counting of sales between national wholesalers, supermarkets and florists given the fact that PPPs can only be imported, as they are not produced by national enterprises.

3.4. Data validation

Non-responding firms receive several written reminders. If there is still no reaction after the final reminder, they are contacted by telephone.

The data collected from responding firms undergo several validation processes. We distinguish between manual and automatic data checking:

 

a)      Manual checking:

Each questionnaire is checked for completeness (by historical data comparison). In the case where item non-response is suspected, the involved enterprises are contacted by telephone. If necessary, they are asked to resend the amended questionnaire.

Enterprises have the possibility to add products that are not listed in the questionnaire, by indicating the brand name, the authorisation ID and the data related to the quantities placed on the market. In the case where the authorisation ID is missing, STATEC has to look it up in order to enable the linking of the product with the corresponding active substances.

Formats adaptations are also done in order to facilitate further automatic processing.

 

b)      Automatic checking:

Once the questionnaires have been cleaned up, they are processed. Remaining minor inconsistencies are adjusted automatically.

3.5. Data compilation

a)      Data Editing:

In this part of the statistical process, out-of-scope products as well as quantities provided by national intermediaries are eliminated. In this way, we guarantee that final results are exempted from double counted quantities.

            The unit non-response is addressed by reweighting procedures by strata of economic   activities (NACERev.2).

 

b)      Compilation of final results:

Once the data have been validated and treated for non-response, they are linked to the correspondence table containing the composing substances for each product.

All the quantities of substances are converted into ‘kg’. Then, the data are aggregated such as stipulated by the EU Regulation.

3.6. Adjustment

Cf. 3.4. and 3.5.


4. Quality management Top
4.1. Quality assurance

Data quality is managed at the different stages of the statistical production processes:

-          Design of the questionnaire

-          Update of the list of authorised products and their contents

-          Update of the target population

-          Data collection and reminder procedures

-          data validation

-          Validation of results

-          Statistical disclosure control

4.2. Quality management - assessment

STATEC produces PPP statistics in collaboration with ASTA and SER of the Ministry of Agriculture:

-       STATEC receives the list of enterprises authorised to sell PPP and the complete list of authorised products from ASTA. Both lists are checked by STATEC. The product list received from ASTA is compared with the one of the previous year: new products and changes in the contents are discussed with    ASTA. Possible errors are corrected.

The list of enterprises is crosschecked with the business register and completed as described above.

-       The results are discussed with the SER, which is in charge of the production of the annual amounts of pesticides used.


5. Relevance Top
5.1. Relevance - User Needs

Besides EU institutions, pesticides sales statistics might be of interest for policy makers (Ministry of Agriculture, Ministry of Environment, and Ministry of Health), environmental lobby groups and the research community.

5.2. Relevance - User Satisfaction

User satisfaction surveys on this statistical domain have not been carried out yet. Furthermore, the data on sales have not yet been published at the national level.

5.3. Completeness

The complete data series are delivered to Eurostat, though with some delay.

5.3.1. Data completeness - rate

100%


6. Accuracy and reliability Top
6.1. Accuracy - overall

Due to the small target population, the data collection is carried out via a census. The target population has been identified by using either the list of businesses authorised to sell pesticides (provided by ASTA) and the business register of STATEC.

Some active substances might be overvalued for data series 2011-2013 since the questionnaire, then used, did not allow for distinguishing between sales to the final user and sales to contractor or retail seller abroad. When PPPs are sold to non-resident companies, they should be considered as exports, and thus not be recorded in Luxembourg.

Since reference year 2014, the questionnaires explicitly mention that possible exports to contractor or retail seller abroad have to be excluded.

6.2. Sampling error

n.a.

6.2.1. Sampling error - indicators

n.a.

6.3. Non-sampling error

n.a.

6.3.1. Coverage error

The target population is generated by using either the list of businesses authorised to sell pesticides (provided by ASTA) and the business register of STATEC. The list received from ASTA is enriched with enterprises from the business register: these are wholesalers and supermarkets employing either more than 45 employees or having declared a turnover (excluding VAT) of more than 7 million EUR per annum, as well as florists employing more than 20 employees.

In addition, we analyse Intrastat and Extrastat data in order to identify potential enterprises that might be included in the target population.

The number of enterprises in the target population for reference year 2016 amounts to 29 units.

6.3.1.1. Over-coverage - rate

3 out of 29 enterprises that received the questionnaire declared that they have stopped selling or have not at all been selling pesticides.

6.3.1.2. Common units - proportion

n.a.

6.3.2. Measurement error

Year to year checks reveal whether measurement units (liter, kg) have been used in an accurate way and whether there are changes in the type or the quantity of products supplied.

The products that are declared by enterprises but for which no correspondence with the list in Annex III of the regulation on pesticides can be found, are omitted from the final results.

6.3.3. Non response error

see below

6.3.3.1. Unit non-response - rate

The unit non-response rate amounts to 10 %.

6.3.3.2. Item non-response - rate

Since enterprises often provide sold quantities even for products that are not listed in the questionnaire, we assume the item non-response rate to be near 0%. Furthermore year to year checks on the product level help us to keep this rate low.

6.3.4. Processing error

Concerning the administrative data used from the business register in order to determine the target population, the following error checking is carried out:

-       Detection of out of scope units;

-       Identification of merger and acquisitions to minimise the risk of double counting.

Concerning the survey data, validity checks (measurement unit), and plausibility checks (year to year checks concerning the type or quantity of products supplied) are applied.

The products that are declared by the enterprises but for which no correspondence with the list in Annex III of the regulation on pesticides can be found, are omitted from the final results. They are considered out of scope.

6.3.4.1. Imputation - rate

The unit non-response is addressed by reweighting procedures by strata of economic activities (NACERev.2).

6.3.5. Model assumption error

Not applicable, for no model has been used.

6.4. Seasonal adjustment

Not applicable.

6.5. Data revision - policy

Not applicable.

6.6. Data revision - practice

Data for reference year 2011 and 2012 have been revised.

6.6.1. Data revision - average size

not available


7. Timeliness and punctuality Top
7.1. Timeliness

The production process had to be updated to the new classification system. Thus, the results for reference year 2016 had been delayed by 9 months.

7.1.1. Time lag - first result

See 7.1.

7.1.2. Time lag - final result

See 7.1.

7.2. Punctuality

Data for reference year 2016 were transmitted to Eurostat with a delay of 9 months.

7.2.1. Punctuality - delivery and publication

See 7.2.


8. Coherence and comparability Top
8.1. Comparability - geographical

Not applicable.

8.1.1. Asymmetry for mirror flow statistics - coefficient

Not applicable.

8.2. Comparability - over time

see below

8.2.1. Length of comparable time series

Comparable time series from 2011 to 2015. There is a break in series in 2016 due to the use of a new classification system.

8.3. Coherence - cross domain

Not applicable.

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

Not applicable.

9.2. Dissemination format - Publications

Not applicable.

9.3. Dissemination format - online database

Not applicable.

9.3.1. Data tables - consultations

Not applicable.

9.4. Dissemination format - microdata access

Not applicable.

9.5. Dissemination format - other

Not applicable.

9.6. Documentation on methodology

Internal documentation on methodology not yet published.

9.7. Quality management - documentation

Not available.

9.7.1. Metadata completeness - rate

Not available.

9.7.2. Metadata - consultations

Not available.


10. Cost and Burden Top

Cost for the national NSI: 42 days were needed for the development/update and the execution of the whole production process, i.e. ranging from the questionnaire design to the quality report (including quality checks and statistical disclosure control).

Burden for the enterprises: Enterprises, which have indicated the number of hours spent to fill in the questionnaire, spent in average 3 hours. Depending on the number of products declared, the number of hours dedicated to the completion of the questionnaire ranged from 1 hour to 13 hours.


11. Confidentiality Top
11.1. Confidentiality - policy

Confidentiality policy is regulated by the article 16 of the law of 10 July 2011 on the organisation of the National Institute for Statistics and Economic Studies.

Art. 16. STATEC guarantees the non-disclosure of confidential information when the statistical results are disseminated, except for foreign trade statistics. Regarding the latter, the detailed data that allows a resident exporter or importer to be indirectly identified is only kept confidential if the concerned economic operator sends a request for this to STATEC.

The data used to produce the statistics is deemed confidential when it allows an individual or legal entity to be directly or indirectly identified or comprises a risk of disclosure of individual information. To determine whether an individual or legal entity is identifiable, account shall be taken of all relevant means that might reasonably be used by a third party to identify such individual or legal entity. However, data which is taken from sources accessible to the public and which remains accessible according to legislation is not considered confidential. The same applies when express authorisation from the provider of statistical information is given.

When the fulfilment of its remit or the statistical aims sought require the use of data from identifiable statistical units, this data is processed by respecting the fundamental rights and liberties of the concerned individuals or legal entities. Only the people responsible for drawing up these statistics have access to this data. As soon as the identification of the statistical units and in particular of individuals is no longer necessary in the statistical production process, the data will be made anonymous.

For scientific purposes, STATEC may grant access to confidential data on its premises. The admissibility of the request for and the authorisation of access  to the confidential data for scientific purposes are  subject to the assessment of the merits and the scientific interest of the research projects for which the authorisation is requested, and also to the assessment of the scientific qualification of the applicant(s). The terms and conditions of access are determined by STATEC. The studies and results of the research that are likely to be published or disseminated are checked by STATEC to avoid the disclosure of confidential data.

Information that can be individualised cannot, under any circumstances, be disclosed.

The civil servants and those persons responsible for collecting the information or cooperating with the statistical work are personally responsible for strictly complying with the provisions above; Article 458 of the Criminal Code is applicable to them, without prejudice to any disciplinary sanctions.

The provisions of this article apply by analogy to other organisations that form part of the national statistical system.

11.2. Confidentiality - data treatment

General remarks

The team involved in the SDC procedures has been trained via the 3-day course on SDC offered in the Eurostat training programme (ESTP) or in the CENEX-SDC framework, as well as via the 2-day course on SDC in the area of SBS.

One member of the staff has represented Luxembourg in the ‘ESSNet on SDC 2008-2009’ project as a tau-Argus software tester and SDC handbook reviewer.

Technical considerations

The basis for any suppression pattern (addressing both primary and secondary confidentiality) is the software package tau-Argus. However, the process also involves manual procedures, i.e. checking the tau-Argus output, comparing the historical data series and addressing linked table disclosure risks (if any).

Primary confidentiality rules

a)      Sensitivity rule

We apply the (n,k)-dominance rule, i.e. a cell is suppressed if n units separately or jointly dominate the total value of a cell by at least k%. Dominance is measured in terms of quantities sold (kg).

 

b)      Minimum frequency rule

For any cells that are left after applying the sensitivity rule, a minimum frequency is applied. A cell is suppressed if there are less than n units in a given cell.

 

Secondary confidentiality rules

The secondary suppression is calculated by tau-Argus using the ‘Modular’ algorithm. Manual suppressions or cost adjustments are performed using the tau-Argus ‘a priori’ file facility.

 

a)      Secondary suppression within a table

-       A cell is suppressed for secondary confidentiality if n units dominate jointly or separately the confidential total value by at least k%;

-       special attention is paid to the impact of singletons, a risk which is in most cases directly addressed by the tau-Argus Modular algorithm;

-       tau-Argus is set to minimise the cost when determining the secondary suppressed cells. However, we also want to provide the user with useful data, whether it is in terms of interpretation and/or availability of time series. Consequently, the cost minimisation can be overridden for economic and/or historical reasons.

 

b) Secondary suppression due to linked tables disclosure risks

 

-       historical disclosure: in conformity with the SDC handbook, we ensure that no historical cell is compromised by disclosing the same cell for the current reference year. As long as there is any significant link with prior year data, a cell may not be disclosed for the current reference year.

 


12. Comment Top

none


Related metadata Top


Annexes Top