1. ICON-Institute Public Sector
Overview of experiences in other BCs (Slovenia, Hungary, Latvia, Slovakia) Vilnius, 5-6 September Transition Facility Statistical Cooperation Programme LOT 2 – Pesticide Indicators
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2. ICON-Institute Public Sector
Involved parties
Hungary
→ Statistical Office (KSH) Environmental Section
→ Ministry of Agriculture and Rural Development
→ Plant Protection Service (Inspectors)
Slovenia
→ Statistical Office (SORS)
→ Phitosanitary Administration
→ Agricultural Institute of SI
→ Chamber of Agriculture and Forestry of SI (Inspectors)
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3. Involved parties (continued)
Latvia
→ statistical office (CSB) Agricultural and Environmental Statistics Dept
→ State Plant Protection Service (Advisory services + 28 Inspectors)
Slovakia
→ Statistical Office of the Slovak Republic (Agriculture and Environment Dept)
→ State Plant Protection Service (Central Control and Testing Institute - UKSUP)
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4. ICON-Institute Public Sector
Pesticide use
Hungary
→ 248 registered PPPs for wheat, out of 742 authorised products
→ 0.2 kg/ha a.s (2003):
56% fungicides,
32.5% herbicides,
11.5% others
Slovenia:
→ 80 registered PPPs for wheat
→ 0.6 kg/ha a.s.:
72% herbicides,
27% fungicides,
2% others
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5. Pesticide use (continued)
Latvia
→ 140 registered PPPs for wheat, out of 240 authorised products
→ 0.2 kg/ha a.s (2003):
56% fungicides,
32.5% herbicides,
11.5% others
Slovakia:
→ ?? registered PPPs for wheat
→ 0.2 kg/ha a.s.:
48% herbicides,
27% growth regul.,
21% fungicides,
4% others
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6. ICON-Institute Public Sector
Sampling frame
Hungary
→Farm register (from Agricultural Census 2000), partially updated via FSS 2003 and 2005 (15%)
Slovenia
→ Farm register (from the Census 2000), partially updated via FSS 2005 and 2007
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7. Sampling frame (continued)
Latvia
→IACS, cross-checked with the Statistical Farm Register and the Statistical Business Register
Slovakia
→ National farm register (updated May 2007)
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8. ICON-Institute Public Sector
Sampling error
Hungary, Latvia, Slovakia
→ not specified
Slovenia
→ coefficient of variation: 0.89% for wheat and <1% for the other main agricultural products
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9. ICON-Institute Public Sector
Sample unit
Hungary
→ farm, survey information is filled in at parcel level but calculations are then made at farm level
Slovenia
→ parcel but there is possibility to provide data at farm level also if detailed info does not exist
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10. Sample unit (continued)
Latvia
→ farm but information is provided on each area treated
Slovakia
→ unknown (questionnaire still under development ?)
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11. Sample size (continued)
Latvia
→ wheat producers in the sampling frame
→ 421 farms stratified and 489 big farms automatically selected: 910 units surveyed
Slovakia
→ size of sampling frame ?? (3 352 farms in 2004)
→ 1000 units (of which 138 big farms automatically selected)
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12. Sample stratification
Hungary
Two-stage stratified random sampling
→ 60 strata :
3 size classes for the 20 counties (NUTS2):
<5 ha
5-100 ha
>100 ha
Slovenia
Simple random sampling
→ 4 strata:
<50 ha
(12% of wheat farms / 40% of wheat area)
50-<100 ha (27% / 30%)
ha (41% / 25%)
>250 ha (20% / 6 %)
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13. Sample stratification (continued)
Latvia
Optimal allocation (c.f. Neyman)
→ 158 strata:
26 districts,
6 size classes for each
Slovakia
Optimal allocation ? (c.f. Neyman)
→ 18 strata:
3 regions (Nuts II)
6 size classes (<50, , , , , , , >1000
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14. ICON-Institute Public Sector
Sample selection
Optimisation method rather than pure result of sample
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15. ICON-Institute Public Sector
Survey type
Hungary
→ 780 surveys carried out by electronic questionnaire : for the 200 enterprises and 580 interviews by 25 PPP inspectors (with lap-tops)
→ substitute list used to achieve 100% response
→ high quality responses (trained inspectors, involved in 2005 survey)
Latvia
→ 910 surveys carried out through direct interviews by 28 PPP inspectors from SPPS
→ high quality responses (trained inspectors)
Slovakia:
→ 1000 postal surveys
→ uncertain response rate (>50%) and varying response quality
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16. Survey type (continued)
Slovenia:
→ 200 farms : face-to-face interviews (PAPI) by 40 advisors from the Agricultural Advisory Services (Chamber of Agriculture and Forestry)
→ good response rate (+/- 100%), high quality
→ 1 350 farms : postal surveys (POST) with instructions
→ relatively small response rate but good quality responses
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17. ICON-Institute Public Sector
Survey type (cont.)
→ 1 350 farms interviewed by telephone (CATI) by students
→ high level of responses but more errors than the other 2 methods
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18. ICON-Institute Public Sector
Survey planning
Hungary
→ original plan: start in June, delayed to summer
→ early results in September
→ processing eased by several checks directly when entering the data (application rate min.-max., treated area, application date etc.)
Slovenia:
→ start in October
→ early results by year end
→ processing eased by several checks directly when entering the data (application rate, farmers contact details etc.)
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19. Survey planning (continued)
Latvia
→ survey launched in August with responses allowed until end of the month.
→ no results available for Istanbul
Slovakia:
→ survey launched in August ??
→ no results available for Istanbul
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20. Objectives/Future plans
Hungary
→ nothing concrete foreseen for future
→ though, exists a demand for such statistics (e.g. risk)
Slovenia:
→ long-term vision
→ survey every 2 years (crop rotation)
→ exists also demand for such statistics (e.g. risk)
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21. Objectives/Future plans (continued)
Latvia
→ nothing concrete foreseen for future
→ though, exists a demand for such statistics (e.g. risk)
Slovakia:
→ due to resource limitations, limitation of survey to basic requirements
→ nothing concrete foreseen for future
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22. Thank you for your attention !
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