Pesticide use in agriculture (aei_pestuse)

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

Compiling agency: National Institute of Statistics


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

National Institute of Statistics

1.2. Contact organisation unit

Department of Agriculture and Environmental Statistics

1.5. Contact mail address

Bd. Libertatii no 16, Zip code 050706, Bucharest-Romania


2. Statistical presentation Top
2.1. Data description

See sub-categories below.

2.1.1. Main characteristics of statistics

The characteristics of interest are the agricultural areas for the main crops treated with pesticides and the pesticide amounts (active substance-a.s.) used.

2.1.2. Reference period of data collection

The field data collection took place in April 2019 by fieldoperators based on a face-to-face interview for the individual holdings and self-administration for the legal units using statistical questionnaires (PUA).

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.
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

The main objective of the survey was getting data on the agricultural area treated with pesticides, the quantity of pesticides used for the selected crops including the quantity of products used for seed treatment before sowing, the amount of active substance (a.s.) in pesticides composition.

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 applicable.

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 agricultural holding that used pesticides for the main crops and the pesticide amounts (active substance) used.

2.6. Statistical population

All agricultural holdings that used pesticides for the main crops and the pesticide amounts (active substance) used.

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
2.8. Coverage - Time

Crop year 2017-2018.

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 5 years.

3.3. Data collection

See the attached Excel file in the Annexes.

3.4. Data validation

Validate data by comparing it with the previous year and with data from statistical surveys or from administrative sources (import/export, domestic production, stocks, sales).

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

Not applicable.

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
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
4.1.6. Specification of quality improvements
4.1.7. Additional comments quality assurance
4.2. Quality management - assessment

Yes

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


5. Relevance Top
5.1. Relevance - User Needs

Not applicable

5.1.1. Unmet user needs
5.1.2. Plans for satisfying unfilled user needs
5.1.3. Additional comments user needs
5.2. Relevance - User Satisfaction

Not applicable

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

Not applicable

5.2.3. Satisfaction level
5.2.4. Additional comments user satisfaction

Not applicable

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

In a general statistical sense, the statistical data accuracy refers to how close the estimations are as against real values. The pesticide use in agriculture in 2018 was a sample survey. The related tools were: statistical questionnaire (PUA), interviewer’s methodological guide, pesticide nomenclature and agricultural holding nomenclature. At county level, the data entry errors were spotted and solved by the specialists of the County Statistical Offices. The most frequent data collection or entry errors were those related to the correlation of pesticide-treated areas with the pesticide amount used per area unit. Other types of data collection/entry errors were due to the unit of measure (kg or litres), trade product name and its code. At central level, the results were compared with data from other surveys (pesticide sales in 2018 and main crop areas in 2018). The list of active substances in pesticide composition is in line with Annex III to Regulation (EC) No 1185/2009.

The bias between the frame population and target population represents the coverage error. The non-response error appears as a result of missing values and accounts for 1.7% (939 holdings).

According to the completeness code, we have the following statistics:

- full interview for 46 236 holdings (83.5%);

- closed-down farms = 1290 (2.3%);

- temporarily inactive holdings = 6 934 (12.5%);

- refused interview for 98 holdings (0.2%);

- unidentified holdings = 55 (0.1%);

- unvisited holdings = 31 (0.1%);

- other cases = 755 (1.3%).

6.1. Accuracy - overall

The data derived from the survey on “Pesticide use in agriculture 2018” have a good overall accuracy.

6.1.1. Grading of accuracy
Moderate
6.1.2. Factors lowering accuracy
Sampling 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.

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
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 not submitted to revisions.

6.6. Data revision - practice

No revision made.

6.6.1. Data revision - average size

No revision made.

6.6.2. Data revisions - conceptual changes
No
6.6.3. Reason for revisions
6.6.4. Impact of revisions
6.6.5. Additional comments data revisions


7. Timeliness and punctuality Top

Final results were published according to the established deadline. Reference period for this survey was crop year 2017-2018. Preliminary results were published through press releases.

According to Regulation (EC) No 1185/2009 of the European Parliament and of the Council are submitted to Eurostat on 30.12.2020, concurrently with the Quality Report.

7.1. Timeliness

See sub-categories below.

7.1.1. Time lag - first result

11 months

7.1.2. Time lag - final result

12 months

7.1.3. Reasons for possible long production times?

Not applicable.

7.2. Punctuality

See sub-categories below.

7.2.1. Punctuality - delivery and publication

Data publication and submission made in December 2019.

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

 Not applicable.

 

 


8. Coherence and comparability Top
8.1. Comparability - geographical

The are no differences between national and european methodology.

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

Data were compared with the pesticide sales in 2018.

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

Data were compared with the pesticide sales in 2018.


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

Yes

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

https://insse.ro/cms/ro/content/utilizarea-pesticidelor-agricultura-anul-2018

9.2. Dissemination format - Publications

Yes

9.2.1. Production of paper publication
Yes
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

https://insse.ro/cms/ro/content/utilizarea-pesticidelor-%C3%AEn-agricultur%C4%83-%C3%AEn-anul-2018

9.3. Dissemination format - online database

No

9.3.1. Data tables - consultations

No

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

No

9.4. Dissemination format - microdata access

No

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

No

9.5. Dissemination format - other

No

9.6. Documentation on methodology

Yes

9.6.1. Availability of national reference metadata
No
9.6.2. Link to national reference metadata

No

9.6.3. Availability of methodological papers
No
9.6.4. Link to methodological papers

No

9.6.5. Availability of handbook
Yes
9.6.6. Link to handbook

http://colectaredate.insse.ro/metadata/viewStatisticalResearch.htm?researchId=5300

9.7. Quality management - documentation

Not applicable.

9.7.1. Metadata completeness - rate

Not applicable.

9.7.2. Metadata - consultations

Not applicable.

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

Not applicable.


10. Cost and Burden Top

The financial resources were efficiently used. The response burden was proportionate to the users needs and not excessive for the respondents. According to the European Statistics Code of Practice the response burden should be measured in order to reduce the reporting burden of the respondents.

10.1. Efficiency gains
Further automation
Increased use of administrative data
10.2. Specification efficiency gains
10.3. Measures to reduce burden
Easier data transmission
Multiple use of the collected data
10.4. Specification burden reduction


11. Confidentiality Top

The rules of the European Statistics Code of Practice as well as the Law No 226/2009 on Romanian official statistics were observed.

11.1. Confidentiality - policy

According to the European Statistics Code of Practice (principle 5) the confidentiality of the provided information and its exclusive use for statistical purposes is guaranteed.

The legal framework which guarantees the confidentiality and protection of statistical data is Regulation (EC) No 223/2009 of the European Parliament and of the Council of 11.03.2009 on European statistics and Law No 226/2009 on the organization and functioning of official statistics in Romania.

The confidential statistical information relative to individual units are protected and used only for statistical purposes.

Law No 226/2009 of the Romanian official statistics stipulates at Art. 35 – Dissemination of individual data – data can be disseminated solely for research purposes.

At art. 36 – Confidentiality of official statistical data, par. (1) – statistical data are considered confidential if they refer to a single natural or legal person or if they allow the direct or indirect identification of the concerned natural or legal person.

The statistical data obtained after individual data processing can be disseminated after a suitable aggregation.

Art. 37 – NIS and the other official statistics producers are bound to ensure throughout the whole statistical process, administrative, organizational and technical measures to protect the confidentiality of individual statistical data and to prevent the unauthorized access to them, as well as their unpermitted dissemination, transfer and destruction. To this end, NIS drew up and approved implementation norms and procedures with respect to the measures foreseen by the law. NIS staff including the one belonging to the territorial offices along with the personnel temporarily employed in individual data collection and processing are obliged to observe data confidentiality for the duration and after the end of their employment.

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
11.2. Confidentiality - data treatment

According to Law No 226/2009 on Romanian official organisation and functioning with its subsequent amendments and additions, the individual data registered on the PUA 2018 questionnaires are confidential and to be used only for statistical purposes.

Keeping the data confidential by NIS permanent staff is mandatory as provided by Law No 226/2009.

The statistical disclosure control by NIS temporary staff is mandatory as stipulated in their employment contracts.

11.2.1. Procedures for confidentiality
11.2.2. Additional comments confidentiality - data treatment


12. Comment Top

Romania will continue to work with Eurostat experts within the concerned work group to improve this survey.


Related metadata Top


Annexes Top
ESQRS_ANNEX_PESTUSE_2015_2019.xlsx