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For any question on data and metadata, please contact: EUROPEAN STATISTICAL DATA SUPPORT |
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1.1. Contact organisation | Service d'Economie Rurale |
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1.2. Contact organisation unit | Division of agricultural statistics, agricultural markets and external relations |
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1.5. Contact mail address | 115, rue de Hollerich L-1741 Luxembourg |
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2.1. Data description | |||
See sub-categories below. |
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2.1.1. Main characteristics of statistics | |||
The quantities of pesticides used by agricultural holdings are determined on the basis of the accountancy data of the farm accountancy data network (FADN) in Luxembourg. The network for the collection of accountancy data on the income and business operation of agricultural holdings in the European Union (FADN) is set up by Council regulation (EC) 1217/2009 (modified since). The national committee and the liaison agency in charge of FADN in Luxembourg are designated by “règlement grand-ducal du 13 novembre 2009”. These bodies are responsible for the collection of data on a national basis and the transmission of the data to the European Commission (DG Agri). The field of observation consists of commercial farms. In Luxembourg, all farms beyond a standard output of 25.000€ (size classes 6 – 14) are considered to be commercial farms and are covered by the FADN. All types of farming existing in Luxembourg, except horticulture, are represented in FADN. A sample of farms (450 farms) is selected among the 775 bookkeeping farms of the accountancy office of the Service d’Economie Rurale (SER). The SER is an administration of the Ministry of Agriculture, one of the divisions of the SER being the accountancy office for FADN. As an administration, the SER is fully independent from the professional farming sector. A plan for the selection of returning holdings (FADN-sample) is drawn up which ensures a representative accounting sample of the field of survey. The FADN-sample is a stratified sample, the stratification criteria being the economic size of the farm and the farm type according to the Union typology of agricultural holdings (the typology). A special weighting system is used in the calculation of FADN results. The individual weight of a holding is equal to the ratio between the number of holdings of the same classification cell in the field of observation and in the sample. The purpose of the weighting system is to rake account of different sampling factors for different cells. In the production of FADN results, weighted averages are calculated using these weights applied to each individual farm recorded in the sample. In 2018, the number of farms in the field of observation (SO> 25.000€) is 1.346 and the number of farms in the FADN- sample 450. The average weight of the farms in the sample is thus 2,18. This is very good compared to other countries and illustrates the high representativeness of the FADN-sample in Luxembourg. The accountancy data used for statistics on agricultural use of pesticides are the quantity of pesticide per pesticide product (or active substance) and per crop used, the value of the pesticides purchased (in €) (for checks) and the area cultivated per crop (information on the area treated is not available in the accounting data). The variables obtained per holding are the quantity of pesticide product (or active substance) used per crop and the corresponding cultivated area of the crop. The results at the level of the field of observation (commercial farms) are established using the FADN methodology (FADN-sample, weighting system). The FADN results are extrapolated to the field of observation of the Integrated Farm Statistics (IFS) using the crop area under IFS. |
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2.1.2. Reference period of data collection | |||
Data collection refers to the year 2018 only. |
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2.1.3. National legislation | |||
No | |||
2.1.3.1. Name of national legislation | |||
2.1.3.2. Link to national legislation | |||
2.1.3.3. Responsible organisation for national legislation | |||
2.1.3.4. Year of entry into force of national legislation | |||
2.1.3.5. Coverage of variables required under EU regulation | |||
2.1.3.6. Divergence national definitions from EU regulation | |||
2.1.3.7. Legal obligation for respondents | |||
2.1.4. Additional comments data description | |||
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. |
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2.3. Coverage - sector | |||
The covered economic sector is the agriculture only. The selected crops are the most commun crops in Luxembourg. Other crops may have only been cultivated by a small number of farmers. Due to confidentiality issues the selection of crops is limited. |
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2.3.1. Crops covered by the statistics | |||
See the attached Excel file in the Annexes. |
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2.3.2. Commercial non-agricultural uses of pesticides | |||
Not applicable |
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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. There is no double-counting for aggregated pesticide classes/categories/groups. |
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2.5. Statistical unit | |||
The basic unit of statistical observation are agricultural holdings. |
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2.6. Statistical population | |||
See 2.1 data description |
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2.7. Reference area | |||
See sub-categories below. |
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2.7.1. Geographical area covered | |||
Utilised agricultural area of the holdings under IFS. |
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2.7.2. Inclusion of special territories | |||
Not applicable. |
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2.8. Coverage - Time | |||
2011 onwards. |
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2.9. Base period | |||
Not applicable for Pesticide Use Statistics, because it is not based on an index number of time series. |
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3.1. Source data | |||
See the attached Excel file in the Annexes. |
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3.2. Frequency of data collection | |||
Annually on a national level, but only one year out of the five-year reference period (2018) is provided to Eurostat. |
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3.3. Data collection | |||
See the attached Excel file in the Annexes. |
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3.4. Data validation | |||
See 2.1.1 Main characteristics of statistics |
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3.4.1. Data validation measures | |||
Manual | |||
3.4.2. Target of data validation measures | |||
Consistency | |||
3.4.3. Specification target of data validation | |||
3.5. Data compilation | |||
See 2.1.1 Main characteristics of statistics |
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3.6. Adjustment | |||
See 2.1.1 Main characteristics of statistics |
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4.1. Quality assurance | |||
See sub-categories below. |
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4.1.1. Quality management system in organisation | |||
No | |||
4.1.2. Specification of implementation | |||
4.1.3. Peer review | |||
No | |||
4.1.4. Main conclusions peer review | |||
4.1.5. Future quality improvements | |||
None | |||
4.1.6. Specification of quality improvements | |||
4.1.7. Additional comments quality assurance | |||
4.2. Quality management - assessment | |||
The accountancy data used are of high quality. Special care is applied during book keeping (name of the product, quantity, price,….). Special checks (name of the product, price of the product per weight unit versus average price per weight unit) are used to eliminate or correct errors. The high sampling rate of FADN Luxembourg (the average weight of the farms in the FADN sample is stable and situated around 3,5 during the last 5 years) is an indication of the good quality of the final data. The main deficiency lies in the fact that accounting data are originally not collected for the purpose of pesticides use statistics. The only area data available are the data on the area cultivated, but not on the area treated with pesticides |
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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 quality assessment | |||
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5.1. Relevance - User Needs | |||
The data are highly relevant. There is a high demand for quality data on agricultural use of pesticides. However due to high variability between years due to variation in meteorological conditions, one has to be cautious in using the results as long as data are only available for a very limited time period, as is the case actually in Luxembourg. The data are used to develop an indicator on the frequency of pesticide treatment in Luxembourg. This indicator is part of the follow-up indicators to be developed in the framework of the national action plan on pesticides. |
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5.1.1. Unmet user needs | |||
Not applicable |
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5.1.2. Plans for satisfying unfilled user needs | |||
Not applicable. |
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5.1.3. Additional comments user needs | |||
Not applicable. |
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5.2. Relevance - User Satisfaction | |||
Not applicable. |
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5.2.1. User satisfaction survey | |||
No | |||
5.2.2. Year of user satisfaction survey | |||
5.2.3. Satisfaction level | |||
5.2.4. Additional comments user satisfaction | |||
5.3. Completeness | |||
See sub-category below. |
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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. |
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6.1. Accuracy - overall | |||
Not calculated. |
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6.1.1. Grading of accuracy | |||
High | |||
6.1.2. Factors lowering accuracy | |||
Sampling error Coverage error |
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6.1.3. Specification of factors | |||
See 2.1.1 Main characteristics of statistics |
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6.1.4. Additional comments overall accuracy | |||
6.2. Sampling error | |||
See the attached Excel file in the Annexes. |
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6.3. Non-sampling error | |||
See sub-categories below. |
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6.3.1. Coverage error | |||
See the attached Excel file in the Annexes. |
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6.3.2. Measurement error | |||
See the attached Excel file in the Annexes. |
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6.3.3. Non response error | |||
See the attached Excel file in the Annexes. |
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6.3.4. Processing error | |||
See the attached Excel file in the Annexes. |
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6.3.5. Model assumption error | |||
See the attached Excel file in the Annexes. |
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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. |
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6.5. Data revision - policy | |||
Not applicable. |
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6.6. Data revision - practice | |||
Not applicable. |
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6.6.1. Data revision - average size | |||
No data revision. |
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6.6.2. Data revisions - conceptual changes | |||
6.6.3. Reason for revisions | |||
6.6.4. Impact of revisions | |||
6.6.5. Additional comments data revisions | |||
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7.1. Timeliness | |||
See sub-categories below. |
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7.1.1. Time lag - first result | |||
Data on pesticide use are normally available 18 months after the end of the accountancy period. |
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7.1.2. Time lag - final result | |||
Data on pesticide use are normally available 18 months after the end of the accountancy period. |
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7.1.3. Reasons for possible long production times? | |||
7.2. Punctuality | |||
See sub-categories below. |
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7.2.1. Punctuality - delivery and publication | |||
Data were delivered to EUROSTAT before the end of the delivery period. |
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7.2.2. Data release according to schedule | |||
YES | |||
7.2.3. Data release on target date | |||
YES | |||
7.2.4. Reasons for delays | |||
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8.1. Comparability - geographical | |||
No comparison of data between geographical areas needed. |
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8.1.1. Asymmetry for mirror flow statistics - coefficient | |||
Not applicable, because there are no mirror flows in Pesticide Use Statistics. |
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8.2. Comparability - over time | |||
Not applicable for Pesticide Use Statistics, because it is not based on time series. |
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8.2.1. Length of comparable time series | |||
Not applicable for Pesticide Use Statistics, because it is not based on time series. |
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8.3. Coherence - cross domain | |||
Data can be combined to FADN data (data on economic situation of agricultural holginds) and to IFS data. A detailled comparaison with pesticides placed on the market is not feasible at this point in time. However, a rough comparaison has shown that the data are quite comparable. |
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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. |
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8.5. Coherence - National Accounts | |||
Not applicable, because it has no relevance for national accounts. |
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8.6. Coherence - internal | |||
A good internal coherence of the data was ensured due to the harmonised classification of pesticides and crops. |
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9.1. Dissemination format - News release | |||
Not applicable. |
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9.1.1. Publication of news releases | |||
No | |||
9.1.2. Link to news releases | |||
9.2. Dissemination format - Publications | |||
No publication released. |
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9.2.1. Production of paper publication | |||
No | |||
9.2.2. English paper publication | |||
No | |||
9.2.3. Production of electronic publication | |||
No | |||
9.2.4. English electronic publication | |||
No | |||
9.2.5. Link to publications | |||
9.3. Dissemination format - online database | |||
No online database. |
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9.3.1. Data tables - consultations | |||
Not available |
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9.3.2. Accessibility of on-line database | |||
No | |||
9.3.3. Link to on-line database | |||
9.4. Dissemination format - microdata access | |||
No access to microdata. |
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9.4.1. Accessibility of micro-data | |||
No | |||
9.4.2. Link to micro-data | |||
9.5. Dissemination format - other | |||
Data tables available: https://agriculture.public.lu/content/dam/agriculture/statistiques/produits-phyto/Publication-matiere-active-pesticides-2014-2018.xlsx |
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9.6. Documentation on methodology | |||
FADN-methodology: cf documentation by DG Agri; documentation on collection and treatment of data on pesticide use: SER-internal documents |
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9.6.1. Availability of national reference metadata | |||
Yes | |||
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 | |||
See documentation on FADN by DG Agri and SER |
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9.7.1. Metadata completeness - rate | |||
Metadata are complete |
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9.7.2. Metadata - consultations | |||
Consultation on demand |
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9.7.3. Availability of quality report | |||
NO | |||
9.7.4. Link to quality report | |||
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No calculation of costs associated with the collection and production of pesticide use statistics since only administrative data has been used. Burden for respondents: no supplementary burden on respondents (data are already collected in the framework of FADN |
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10.1. Efficiency gains | |||
None | |||
10.2. Specification efficiency gains | |||
10.3. Measures to reduce burden | |||
None | |||
10.4. Specification burden reduction | |||
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11.1. Confidentiality - policy | |||
High importance is given to confidentiality issues due to the legal obligations and due to the high sensibility of the respondents and administrations regarding confidentiality, especially the data on the use of pesticides in agriculture. |
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11.1.1. Transmission of confidential national data to Eurostat | |||
No | |||
11.1.2. Confidentiality according to Regulation | |||
11.1.3. Data confidentiality policy | |||
Confidentiality of data has to be respected according to regulation (EC) 1217/2009 (FADN). The European provisions on confidentiality of data used for statistical purposes: Regulation (EC) 223/2009 of the European Parliament and of the Council on European statistics ….. The national provisions on confidentiality of data used for statistical purposes: « Loi du 11 juillet portant organisation de l’Institut national de statistique et des études économiques …… » |
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11.2. Confidentiality - data treatment | |||
General rules applicable at the level of public administrations Special rules applicable at the level of Service d’Economie Rurale – division de la comptabilité agricole |
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11.2.1. Procedures for confidentiality | |||
11.2.2. Additional comments confidentiality - data treatment | |||
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Annexe PESTUSE 2015-2019 |