Pesticide use in agriculture (aei_pestuse)

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

Compiling agency: Central Statistical Bureau of Latvia


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

Central Statistical Bureau of Latvia

1.2. Contact organisation unit

    Agricultural Statistics Section

1.5. Contact mail address

Central Statistical Bureau, Street Lacplesa 1, Riga, LV-1301, Latvia


2. Statistical presentation Top
2.1. Data description

See sub-categories below.

2.1.1. Main characteristics of statistics

The data set comprises the quantity of each active substance contained in plant protection products used on a selected agricultural crop in kilograms as well as area treated with each substance expressed in hectares.

2.1.2. Reference period of data collection

The data collection took place twice during five year period: in 2017 and in 2019.

2.1.3. National legislation
Yes
2.1.3.1. National legislation - Name

The national legal framework covering statistical data acquisition is Statistics Law

2.1.3.2. National legislation - Link


https://likumi.lv/ta/en/en/id/274749

 

 

2.1.3.3. National legislation - Responsible organisation

Central Statistical Bureau

2.1.3.4. National legislation - Year of entry into force

2016

2.1.3.5. National legislation - Coverage of variables required under EU legislation

The Regulation (EC) No 1185/2009 stipulates that the crops selected shall be representative of the crops cultivated and of the substances used. Coverage of variables meets this condition as well as crops of national importance have been reported.

2.1.3.6. Divergence national definitions from EU regulation

There is no divergance

2.1.3.7. National legislation - Legal obligation for respondents to reply (Yes/No)
Yes
2.1.4. Additional comments data description

Legal obligation for respondents 

Section 14 of the Statistics Law determines an obligation to provide data.

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

Selected crops – cereals covered 58 % of sown area of agricultural crops and rape 10 % respectively, use of pesticides on those crops is relevant. Information for pesticide treatment on selected vegetables and permanent crops is also of national importance.

2.3.1. Crops covered by the statistics

See the attached Excel file in the Annexes.



Annexes:
Crops covered
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

Agricultural holding

2.6. Statistical population

Population frame includes in 2017 all economically active agricultural holdings with areas of winter wheat, spring wheat, rye, spring barley, winter barley, oats, triticale, buckwheat, mixed cereals, spring rape and winter rape and field beans and in 2019 holdings with areas of apple trees, pear trees, plum trees, cherry trees, raspberries, strawberries, cabbages, carrots, beetroots, onions, potatoes, green maize.

2.7. Reference area

See sub-categories below.

2.7.1. Geographical area covered

The entire territory of the country.

2.7.2. Inclusion of special territories

Not applicable

2.8. Coverage - Time

2010 onwards

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.



Annexes:
Data source
3.2. Frequency of data collection

Every 5 years

3.3. Data collection

See the attached Excel file in the Annexes.



Annexes:
Data collection
3.4. Data validation

Verifying the area, on which pesticides are used, with total sown area under each crop.

Comparing each product application rate in kg or in l per ha with recommended application rate on each holding.

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

Data compilation was done by the CSB.The results of the survey were extrapolated to the entire country. The design weights which are inversely proportional to inclusion probability, have been adjusted taking into account the response in the strata. If a farm has not responded in the strata, similar strata are combined and weights are recalculated in stratum. External information for calculation of weights is not used.

The quantities of pesticides used per crop have been reported at active substance level as well as at all aggragation levels (major groups, categories of products, chemical classes). Values for the area treated have not been reported as aggragates.

3.6. Adjustment

Not applicable.


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

Quality Management Systems of the Central Statistical Bureau (QMS) are certified according to requirements of ISO 9001:2015 standard "Ouality management systems - Requirements". QMS defines management, support and core business processes and sub-processes, which include: process and sub-process owners, activities to be performed within processes and their sequence, duties and responsibilities of employees, their distribution within processes, files and databases, forms, regulations and other documents referred to in the processes. QMS is binding on all employees of the CSB.

4.1.3. Peer review
No
4.1.4. Main conclusions peer review
4.1.5. Future quality improvements
Improve data validation
Further automation
Further training
4.1.6. Specification of quality improvements
4.1.7. Additional comments quality assurance
4.2. Quality management - assessment

Overall quality of the statistical data on pesticide use on agricultural crops is considered sufficient in terms of quality criteria. The main strengths is that qualified regional inspectors from the State Plant Protection Service ensured collection of data on pesticides used. 

The sample size was sufficient to meet the standard quality criteria.  The coefficient of variation has improved compared to the previous survey for almost all crops surveyed. 

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


5. Relevance Top
5.1. Relevance - User Needs

The statistical information for users is available in the CSB Database as dataset MGG030, press releases published in 11.10.2018 and in 9.10.2020 are also available. The data users are mainly  media and the State Plant Protection Service, as well as the students. Users are often interested in the information comparable over time (time series) and among the differentcountries.   

5.1.1. Unmet user needs

Information comparable among countries cannot be provided.

5.1.2. Plans for satisfying unfilled user needs

Not available.

5.1.3. Additional comments user needs
5.2. Relevance - User Satisfaction

User satisfaction survey has not been conducted.

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

Not applicable.

5.2.3. Satisfaction level
Neutral
5.2.4. Additional comments user satisfaction
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 do not have significant impact on key results.

6.1.1. Grading of accuracy
High
6.1.2. Factors lowering accuracy
Non-response error
6.1.3. Specification of factors
6.1.4. Additional comments overall accuracy
6.2. Sampling error

See the attached Excel file in the Annexes.



Annexes:
Sampling error
6.3. Non-sampling error

See sub-categories below.

6.3.1. Coverage error

See the attached Excel file in the Annexes.



Annexes:
Coverage error
6.3.2. Measurement error

See the attached Excel file in the Annexes.



Annexes:
Measurement error
6.3.3. Non response error

See the attached Excel file in the Annexes.



Annexes:
Non response error
6.3.4. Processing error

See the attached Excel file in the Annexes.



Annexes:
Processing error
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

Data were not revised.

6.6. Data revision - practice

Not applicable.

6.6.1. Data revision - average size

Not applicable

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

Not applicable.

6.6.4. Impact of revisions
Not important
6.6.5. Additional comments data revisions

There were no changes in statistical values released.


7. Timeliness and punctuality Top
7.1. Timeliness

See sub-categories below.

7.1.1. Time lag - first result

The first results on national level were available 270 days from the last day of the reference period.  Data revisions were not necessary, the first results are also the final results.

7.1.2. Time lag - final result

The final results on national level were available 270 days from the last day of the reference period.

7.1.3. Reasons for possible long production times?

There were still problems for State Plant Protection Service interviewers begin to usie laptops for the data collection. Data entry from paper questionnaires of the surveu 2019 was carried out by the staff of the Agricultural Statistics Section of the Central Statistical Bureau.

7.2. Punctuality

See sub-categories below.

7.2.4. Punctuality - delivery and publication

Data are published according to the CSB publication calendar.

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

Not applicable.


8. Coherence and comparability Top
8.1. Comparability - geographical

Data are collected on a country level (NUTS 0). Therefore, the data are not comparable on a regional level. The geographical comparibility between countries is evaluated by Eurostat.

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

Not applicable. It is not possible to compare correctlythe data on pesticide use and pesticides placed on the market. In 2017 only grain crops rape and field beans were selected for the data collection and in 2019 - vegetables, permanent crops, potatoes, green maize. Many substances are used in one year for all crops, in the same time products might not be used only in one year but also in the next year etc.  

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

Harmonised classification of pesticides and crops was applied. A good internal coherence of the data was ensured. Data were obtained from sample survey, the sample size was representative, metod of extrapolation of data to entire country provided good quality data. Approach of data collection was in line with Eurostat guidelines, for example, data collection per field, inclusion of seed treatment.


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

Two news releases linked to the data on pesticide use on agricultural crops in 2017 and in 2019 respectively were disseminated. 

9.1.1. Publication of news releases
Yes
9.1.2. Link to news releases

https://www.csb.gov.lv/en/statistics/statistics-by-theme/agriculture/agri-environmental-indicators/search-in-theme/2757-use-pesticides

https://www.csb.gov.lv/en/statistics/statistics-by-theme/agriculture/agri-environmental-indicators/search-in-theme/2428-use-pesticides-cereal

9.2. Dissemination format - Publications

Publication "Agriculture of Latvia" (Collection of Statistics); publisher: Central Statistical Bureau of Latvia, 2019. 

Link: "see question 9.2.5."

9.2.1. Production of paper publication
Yes
9.2.2. English paper publication
Yes
9.2.3. Production of electronic publication
Yes
9.2.4. English electronic publication
Yes
9.2.5. Link to publications

https://www.csb.gov.lv/en/statistics/statistics-by-theme/agriculture/crop/search-in-theme/381-agriculture-latvia-2019

9.3. Dissemination format - online database

Domain in the CSB database: Agriculture, Forestry and Fishery/Agri-environmental indicators/Pesticides/Data table MGG030 "Pesticides used on 1 ha of sown area (active substances, kg).

https://data.csb.gov.lv/pxweb/en/lauks/lauks__agro/MGG030.px

9.3.1. Data tables - consultations

Not available.

9.3.2. Accessibility of on-line database
Yes
9.3.3. Link to on-line database

https://data.csb.gov.lv/pxweb/en/lauks/lauks__agro/MGG030.px

9.4. Dissemination format - microdata access

No micro-data were disseminated.

9.4.1. Accessibility of micro-data
No
9.4.2. Link to micro-data

Not applicable.

9.5. Dissemination format - other

Not applicable.

9.6. Documentation on methodology

A unified Quality Report standard has been developed by the CSB - Project Documentation System (ADS). File includes metadata and quality assessment for the survey on pesticide use on agricultural crops in 2017 and in 2019.

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

Not applicable.

9.7. Quality management - documentation

National quality report on the transmitted data quality has been sent to Eurostat.

In order to facilitate correct interpretation of data and tofoster dialogue with data users, the CSB develops a unified Quality Report standard- Project Documentation System (ADS), where different data preparation aspects are described in detail: legal basis, methodology, sample design and sample size, data collection and processing methods, definitions etc. (available in Latvian and for internal use). ADS includes metadata and quality assessment for the survey on pesticide use on agricultural crops in 2017 and in 2019.

Starting from 2021, metadata will be maintained and published on the OS portal according to a common standard (SMS 2.0).

9.7.1. Metadata completeness - rate

100 % of metadata elements applicable is provided in this report.

9.7.2. Metadata - consultations

Not available.

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


10. Cost and Burden Top

Operational cost in total for the survey of 2017 was EUR 58.2 thousand, which includes cost for data collection EUR 32.7 thousand, for data processing and dissemination EUR 25.5 thousand respectively.

Operational cost in total for the survey of 2019 was EUR 34.2 thousand, which includes cost for data collection EUR 32.8 thousand, for data processing and dissemination EUR 8.4 thousand respectively.

Operating costs decreased by 10% compared to the previous five-year data collection period. Efforts made to improve efficiency includes data entry of the survey for 2019 by the agricultural statistics section staff themselves.

During this data collection period electronic means were not used to facilitate data collection. Range and detail of data collected in surveys was limited to what is absolutely necessary to fulfill the requirements of the Pesticide Regulation.

10.1. Efficiency gains
Further training
10.2. Specification efficiency gains

Not applicable

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

Not applicable.


11. Confidentiality Top
11.1. Confidentiality - policy

In accordance with Regulation (EC) 223/2009 Article 3 data are considered confidencial  when they allow statistical units to be identified, either directly or indirectly, thereby disclosing individual information.

Subparagraf 3.5.1 of the CSB Quality Guidelines determinates the confidenciality. Methods assuring confidentiality have been applied to the data: Threshold rule: data (either a cell or marginal total) in a table is confidential if the number of contributor is one, two or three statistical units (entrprises). Dominance rule: according tothis rule, a cell is to be regarded as confidetial if the share of of one statistical unit in the respective indicator is 80% and more as well as if the total proportion of the two statistical units is 90% and above.

11.1.1. Transmission of confidential national data to Eurostat
No
11.1.2. Confidentiality according to Regulation
Yes
11.1.3. Data confidentiality policy

There is no need to avoid identification. Data cover the use of active substances on crops, sample as a method for carring out the survey, ensures protection (it is not known, which statistical units are surveyed).

11.2. Confidentiality - data treatment

Threshold rule: data (either a cell or marginal total) in a table is confidential if the number of contributor is one, two or three statistical units (entrprises). Dominance rule: according tothis rule, a cell is to be regarded as confidetial if the share of of one statistical unit in the respective indicator is 80% and more as well as if the total proportion of the two statistical units is 90% and above. There is no need to avoid identification. Data cover the use of active substances on crops, sample as a method for carring out the survey, ensures protection (it is not known, which statistical units are surveyed).

11.2.1. Procedures for confidentiality

There is no need to avoid identification. Data cover the use of active substances on crops, sample as a method for carring out the survey, ensures protection (it is not known, which statistical units are surveyed).

11.2.2. Additional comments confidentiality - data treatment


12. Comment Top


Related metadata Top


Annexes Top
ANNEX