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For any question on data and metadata, please contact: Eurostat user support |
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1.1. Contact organisation | Hellenic Statistical Authority – EL.STAT. |
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1.2. Contact organisation unit | Agriculture, Livestock, Fishery and Environment Statistics Division / Farm Structure Statistics Section |
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1.5. Contact mail address | 46, Pireos & Eponiton Str, GR-18510, Piraeus, Greece |
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2.1. Data description | |||
See sub-categories below. |
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2.1.1. Main characteristics of statistics | |||
According to Regulation 1185/2009 “Concerning statistics on pesticides” (http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2009:324:0001:0022:EN:PDF), as it is amended by Commission Regulation (EU) 2017/269 (http://eur-lex.europa.eu/legal-content/EN/TXT/HTML/?uri=CELEX:32017R0269&from=EN) as regards the list of active substances, and Directive 2009/128 “Establishing a framework for Community action to achieve the sustainable use of pesticides” (http://eur-lex.europa.eu/legal-content/EN/TXT/HTML/?uri=CELEX:32009L0128&from=EN) Greece compiled the data on pesticide sales for 2019, using administrative sources. This data includes the amount of pesticide sold, the crop intended to be treated with the pesticide, and the municipality where the sale took place. Combining this information with crop areas from the most recent Farm Structure Survey (FSS) allows the estimation of pesticide use. |
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2.1.2. Reference period of data collection | |||
2019 |
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2.1.3. National legislation | |||
Yes | |||
2.1.3.1. National legislation - Name | |||
Law 4036/2012 on the placing of pesticides on the market, their rational use and related issues |
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2.1.3.2. National legislation - Link | |||
http://www.minagric.gr/images/stories/docs/interesting/nomos4036_georgika_farmaka.pdf |
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2.1.3.3. National legislation - Responsible organisation | |||
Ministry of Rural Development and Food |
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2.1.3.4. National legislation - Year of entry into force | |||
2012 |
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2.1.3.5. National legislation - Coverage of variables required under EU legislation | |||
The "area treated" variable, required under the EU regulation, is not covered by national legislation |
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2.1.3.6. Divergence national definitions from EU regulation | |||
National definitions do not diverge from those of the EU regulation |
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2.1.3.7. National legislation - Legal obligation for respondents to reply (Yes/No) | |||
Yes | |||
2.1.4. Additional comments data description | |||
2.2. Classification system | |||
Pesticides are classified according to the Table of substances (Annex III, Commission Regulation (EU) 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, as updated on 03/06/2019, http://eur-lex.europa.eu/legal-content/EN/TXT/HTML/?uri=CELEX:32017R0269&from=EN). The classification system for crops derives from the Annual crop statistics Handbook 2020 (https://ec.europa.eu/eurostat/cache/metadata/Annexes/apro_cp_esms_an1.pdf). Country geographical classification according to ISO 3166 is also applied. |
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2.3. Coverage - sector | |||
The data refer to use of pesticides sold within the Greek territory. The corps, for which pesticide use is reported, were selected on the basis of their importance for the agricultural sector of the country, as well as for being the most intensively treated by pesticides, representing nearly 80% of the total amount sold. |
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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. Regulation (EC) No 1185/2009, concerning statistics on pesticides, establishes a common framework for the systematic production of Community statistics on the placing on the market and use of those pesticides which are plant protection products as defined in Article 2 (a)(i). The statistics apply to the annual amounts of pesticides placed on the market, and used in the selected crops listed under section 2.3.1, in accordance with Annex I and the quantity of each active substance contained in the pesticides according to the list in Annex III of Commission Regulation (EU) 2017/269. |
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2.5. Statistical unit | |||
Each individual pesticide sale, intended for use in the selected crops listed under section 2.3.1, within the Greek territory. |
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2.6. Statistical population | |||
Sales of plant protection products in the Greek market intended for use in the selected crops listed under section 2.3.1. |
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2.7. Reference area | |||
See sub-categories below. |
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2.7.1. Geographical area covered | |||
The entire territory of the country. |
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2.7.2. Inclusion of special territories | |||
Mount Athos. Included even though not explicitly. Commercial activities in that region are very limited and the majority, if not all, of the pesticides used in that region are purchased from stores located in the nearby Greek regions. |
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2.8. Coverage - Time | |||
2014 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 | |||
The data for pesticide use are collected continuously and processed every five years. |
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3.3. Data collection | |||
See the attached Excel file in the Annexes. |
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3.4. Data validation | |||
Apart from the, normally expected, typing errors there was misreporting of the measuring units and the packaging sold, as well as inconsistencies between the number of packages, the packaging and the total quantity sold. Apparently this is due to the lack of restrictions (form completion rules), embedded in the online sales recording system, regarding the packaging selection options (allowable combinations of quantity and measurement unit) for each pesticide, as well as the lack of on-the-fly consistency checks for the number of packages, the packaging and the total quantity sold. To improve the quality of the collected data, the Ministry of Rural Development and Food performed routine checks on the data and added in the DataBase a field indicating the origin of the data, i.e. manual entry or entry from an automated accounting system, however there was still significant misreporting even among the automated entries. The records of the pesticide sales database, for 2019, were scrutinized and corrected based on common sense and the marketing characteristics of the pesticides, relevant to the Greek market. Both primary and secondary data confidentiality was assessed according to the Guidelines (see Section 11.2). |
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3.4.1. Data validation measures | |||
Manual | |||
3.4.2. Target of data validation measures | |||
Outliers | |||
3.4.3. Specification target of data validation | |||
3.5. Data compilation | |||
Data expressed in measurement units other than kilograms were converted to kilograms. When volume measurement units ( e.g. litres) were reported, a conversion factor of 1 kilogram per litre was assumed. Entries reporting "pieces" as measurement unit (about 0.6%) were ignored as non-convertable. The data from individual sales include the product name and amount sold, the type of crop that will be treated and the municipality where the sale took place. The data were summed up by product and by crop, at the country level, and then transformed into active substances according to the categories specified in Annex III of Commission Regulation (EU) 2017/269, as updated on 27/07/2020, using the composition factors provided in the online database of the Greek Ministry of Rural Development and Food (http://wwww.minagric.gr/greek/data/dbSYSPEST.zip) Since the relevant national legislation did not include a requirement for recording the area treated by the quantity of the pesticide sold, this variable had to be estimated using the information from ELSTAT's Agricultural Register. In order to obtain an estimate of the treated area per crop, all the pesticides bought within a municipality for the treatment of a specific crop were considered to be applied on the entire area covered with that crop in that municipality, with the exception of organic farming areas. Different categories of pesticides (fungicides, herbicides, insecticides, molluscicides, plant growth regulators, other plant protection products, other) were considered to be successively applied on the same area of land. Usage coefficients in the form of amount of pesticide used per hectare of land were calculated for each pesticide category and crop at the country level. These coefficients were checked for outliers and some highly improbable values were removed. The resulting coefficients were used to divide the area treated among the active substances of each pesticide category. The allocation was done at the municipality level and for each one of the crops, selected to report upon, separately. Large amounts of pesticides were further examined for consistency with the cultivated area of the respective crop at the municipality in question. Possible outliers were identified and corrected accordingly. |
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3.6. Adjustment | |||
Not applicable. |
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4.1. Quality assurance | |||
See sub-categories below.
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4.1.1. Quality management system in organisation | |||
Yes | |||
4.1.2. Specification of implementation | |||
EL.STAT aims at ensuring and continuously improving the quality of the produced statistics and maintaining user’s confidence in these statistics. These goals are achieved, as described in the Quality Policy of EL.STAT (http://www.statistics.gr/documents/20181/2571f853-1e37-46da-9387-595bbe2a162b), through the following principles:
These quality objectives are achieved by incorporating the guidelines listed above in all the stages of collection, production and dissemination of the statistics, following the relevant Quality Guidelines. The quality assurance procedures implemented during the production of the statistics and especially the procedures of systematic data validation are described above, in Section 3. Statistical processing. |
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4.1.3. Peer review | |||
No | |||
4.1.4. Main conclusions peer review | |||
Not applicable |
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4.1.5. Future quality improvements | |||
Improve data validation | |||
4.1.6. Specification of quality improvements | |||
4.1.7. Additional comments quality assurance | |||
4.2. Quality management - assessment | |||
Quality management and assessment is effected in terms of the quality criteria as laid down in Article 12 (1) of Regulation (EC) 223/2009 on European statistics, as stipulated by Regulation (EC) No 1185/2009. These quality criteria are examined in detail in the following sections. |
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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 | |||
Improvement | |||
4.2.6. Coherence | |||
Stable | |||
4.2.7. Additional comments quality assessment | |||
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5.1. Relevance - User Needs | |||
National users of the data are the Ministry of Rural Development and Food, other government agencies, the press and the media, as well as academic researchers. The main purpose of the collection of these data is to decrease the risk, imposed from pesticides use, on the environment and more specifically on human health, in accordance to Directive 2009/128 and the respective National Action Plan. There are no characteristics that are surveyed only for national purposes. |
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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 | |||
The Ministry of Rural Development and Food, as the main user of statistics, is satisfied. |
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5.2.1. User satisfaction survey | |||
Yes | |||
5.2.2. Year of user satisfaction survey | |||
2020 |
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5.2.3. Satisfaction level | |||
Satisfied | |||
5.2.4. Additional comments user satisfaction | |||
EL.STAT carries out a generic User Survey. The data from this survey are posted on the portal of EL.STAT (http://www.statistics.gr/en/user-satisfaction-survey) |
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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 | |||
It is not possible to assess the accuracy and reliability of the statistics as there is no other source of relevant statistical information available to use for comparisons that could allow us to gain knowledge on possible biases and other non sampling errors. |
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6.1.1. Grading of accuracy | |||
Moderate | |||
6.1.2. Factors lowering accuracy | |||
Other | |||
6.1.3. Specification of factors | |||
The accuracy of reported pesticide quantities are considered to be of acceptable accuracy mainly due to the compulsory nature of the sales recording system. However, the reported treated area, as calculated according to the procedure described in Section 3.5 above, is an overestimate of the actual one. |
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6.1.4. Additional comments overall accuracy | |||
6.2. Sampling error | |||
Administrative data are used and the recording of each individual pesticide sale is mandatory, therefore sampling error is not applicable. |
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6.3. Non-sampling error | |||
Administrative data on pesticide sales are collected through an online recording system. Deficiencies of the system allowed for misreporting of quantities and measurement units. |
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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 | |||
Even though the data entered in the sales recording system originate from the respective invoices, this is not done automatically for all entries. A significant proportion of the data is entered manually at a later stage, allowing for mistyping errors. The data were checked and, whenever possible, the errors identified were corrected. |
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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 | |||
We performed logical checks to detect and correct processing errors. These checks were based on the internal coherence among variables with strong correlation. All inconsistencies were examined for possible processing or measurement errors. Data processing was performed in two stages, both at the individual pesticide sale level: a) Data validation, and b) Quality Control During the Validation phase all values were checked for acceptability and consistency including all types of errors from simple misspelling of a code or omission to fill-in a data field, to erroneous values being entered, as described in Section 3.4. During the Quality Control phase, abnormally high or low values were identified and corrections were attempted. Such corrections were quite extensive mainly due to the lack of “form completion rules” embedded in the online sales recording system that left it susceptible to massive misreporting of pesticides packaging, respective measurement units and, inevitably, total amounts sold. |
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6.3.5. Model assumption error | |||
Modelling errors are not applicable to pesticide sales. The area reported as treated with pesticides was estimated as described in Section 3.4. The areas reported are overestimated, however modeling errors could not be objectively assessed |
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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 | |||
The revision policy of EL.STAT (http://www.statistics.gr/documents/20181/a49dca9a-dacf-4b52-b5df-b156216cb354) defines standard rules and principles for data revisions, in accordance with the European Statistics Code of Practice and the principles for a common revision policy for European Statistics contained in the Annex of the European Statistical System (ESS) guidelines on revision policy. |
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6.6. Data revision - practice | |||
Not applicable as no revisions are foreseen. |
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6.6.1. Data revision - average size | |||
Not applicable as no revisions are foreseen. |
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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 | |||
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7.1. Timeliness | |||
See sub-categories below. |
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7.1.1. Time lag - first result | |||
12 months after the end of the reference period. |
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7.1.2. Time lag - final result | |||
12 months after the end of the reference 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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7.2.4. Punctuality - delivery and publication | |||
Pesticide use data for 2019 were delivered on time. However, metadata were 62 days delayed. |
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7.2.1. Data release according to schedule | |||
YES | |||
7.2.2. Data release on target date | |||
YES | |||
7.2.3. Reasons for delays | |||
Delay only for metadata due to misunderstanding of deadline. |
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8.1. Comparability - geographical | |||
Statistics are fully comparable between geographical areas due to the use of common definitions across member states. |
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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 | |||
Not applicable. |
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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 | |||
Internal coherence exists among the interdependent survey characteristics. |
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9.1. Dissemination format - News release | |||
See sub-categories below |
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9.1.1. Publication of news releases | |||
No | |||
9.1.2. Link to news releases | |||
9.2. Dissemination format - Publications | |||
See sub-categories below |
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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 | |||
See sub-categories below |
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9.3.1. Data tables - consultations | |||
Not applicable. |
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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 | |||
See sub-categories below |
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9.4.1. Accessibility of micro-data | |||
No | |||
9.4.2. Link to micro-data | |||
9.5. Dissemination format - other | |||
No other documents. |
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9.6. Documentation on methodology | |||
Regulatory documentation on the use of pesticides in Greece can be found at the website of the Ministry of Rural Development and Food (http://wwww.minagric.gr/syspest/syspest_menu_eng.aspx). Specific information on the sales recording system can also be retrieved from the Ministry of Rural Development and Food. There is an online database, maintained by the Ministry of Rural Development and Food, containing all relevant information on pesticide categorisation, active substances per pesticide, pesticide/active substances used per crop and per pathogen/pest, licensing of active substances etc. (http://wwww.minagric.gr/greek/data/dbSYSPEST.zip) |
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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 | |||
The National Methodological Report on Pesticide Use 2019, Greece, will be made available upon request. Users can send their request to: Statistical Information and Publications Division, 46, Pireos & Eponiton Str, GR-18510, Piraeus ((+30) 213135 2022, 2340, Fax: (+30) 213135 2312, e-mail: data.dissem@statistics.gr. |
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9.7.1. Metadata completeness - rate | |||
Metadata completeness rate is 100% |
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9.7.2. Metadata - consultations | |||
Not applicable as this report is not available yet. |
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9.7.3. Availability of quality report | |||
NO | |||
9.7.4. Link to quality report | |||
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The data were collected online, by the sellers, during the actual purchase of the pesticide. So, no interviewers were hired and there was no extra cost for the survey. As far as the sellers are concerned, the burden was minimal since almost all the data collected are also required for issuing the relevant invoice. |
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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 | |||
See sub-categories below |
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11.1.1. Transmission of confidential national data to Eurostat | |||
Yes | |||
11.1.2. Confidentiality according to Regulation | |||
Yes | |||
11.1.3. Data confidentiality policy | |||
The issues concerning the observance of statistical confidentiality by EL.STAT (http://www.statistics.gr/en/statistical-confidentiality?inheritRedirect=true) are arranged by articles 7, 8 and 9 of the Law 3832/2010 as in force, by Articles 8, 10 and 11(2) of the Regulation on Statistical Obligations of the agencies of the Hellenic Statistical System and by Articles 10 and 15 of the Regulation on the Operation and Administration of EL.STAT. More precisely EL.STAT disseminates the statistics in compliance with the statistical principles of the European Statistics Code of Practice and in particular with the principle of statistical confidentiality. EL.STAT protects and does not disseminate data it has obtained or it has access to, which enable the direct or indirect identification of the statistical units that have provided them by the disclosure of individual information directly received for statistical purposes or indirectly supplied from administrative or other sources. EL.STAT takes all appropriate preventive measures so as to render impossible the identification of individual statistical units by technical or other means that might reasonably be used by a third party. Statistical data that could potentially enable the identification of the statistical unit are disseminated by EL.STAT if and only if: a) these data have been treated, as it is specifically set out in the Regulation on Statistical Obligations of the agencies of the Hellenic Statistical System (ELSS), in such a way that their dissemination does not prejudice statistical confidentiality or b) the statistical unit has given its consent, without any reservations, for the disclosure of data. The confidential data that are transmitted by ELSS agencies to EL.STAT are used exclusively for statistical purposes and the only persons who have the right to have access to these data are the personnel engaged in this task and appointed by an act of the President of EL.STAT. EL.STAT may grant researchers conducting statistical analyses for scientific purposes access to data that enable the indirect identification of the statistical units concerned. The access is granted provided the following conditions are satisfied: a) an appropriate request together with a detailed research proposal in conformity with current scientific standards have been submitted; b) the research proposal indicates in sufficient detail the set of data to be accessed, the methods of analyzing them, and the time needed for the research; c) a contract specifying the conditions for access, the obligations of the researchers, the measures for respecting the confidentiality of statistical data and the sanctions in case of breach of these obligations has been signed by the individual researcher, by his/her institution, or by the organization commissioning the research, as the case may be, and by EL.STAT. Issues referring to the observance of statistical confidentiality are examined by the Statistical Confidentiality Committee (SCC) operating in EL.STAT. The responsibilities of this Committee are to make recommendations to the President of EL.STAT on: • the level of detail at which statistical data can be disseminated, so as the identification, either directly or indirectly, of the surveyed statistical unit is not possible; • the anonymization criteria for the microdata provided to users; • the granting to researchers access to confidential data for scientific purposes. The staff of EL.STAT, under any employment status, as well as the temporary survey workers who are employed for the collection of statistical data in statistical surveys conducted by EL.STAT, who acquire access by any means to confidential data, are bound by the principle of confidentiality and must use these data exclusively for the statistical purposes of EL.STAT. After the termination of their term of office, they are not allowed to use these data for any purpose. Violation of data confidentiality and/or statistical confidentiality by any civil servant or employee of EL.STAT constitutes the disciplinary offence of violation of duty and may be punished with the penalty of final dismissal. EL.STAT, by its decision, may impose a penalty amounting from ten thousand (10,000) up to two hundred thousand (200,000) euros to anyone who violates the confidentiality of data and/or statistical confidentiality. The penalty is always imposed after the hearing of the defence of the person liable for the breach, depending on the gravity and the repercussions of the violation. Any relapse constitutes an aggravating factor for the assessment of the administrative sanction. |
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11.2. Confidentiality - data treatment | |||
See sub-categories below |
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11.2.1. Procedures for confidentiality | |||
For every active substance, the respective quantity used was flagged as primarily confidential, when there were up to 2 contributing products (i.e. pesticides sold under different commercial names, small counts rule) or when a single contributing product accounted for more than 95% of the total sales (dominance rule). Secondary confidentiality was further assessed using the τ-argus software. Area treated was considered confidential when the respective quantity used, was flagged as confidential. |
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11.2.2. Additional comments confidentiality - data treatment | |||
None. |
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None |
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Annex for pesticide use Quality Report - Greece 2019 |