ICON-Institute Public Sector1 Overview of experiences in Slovenia and Hungary Riga, 19-20 July 2007 Transition Facility Statistical Cooperation Programme

ICON-Institute Public SectorICON-Institute Public Sector 11

Overview of experiences Overview of experiences in Slovenia and Hungaryin Slovenia and Hungary

Riga, 19-20 July 2007Riga, 19-20 July 2007

Transition Facility Statistical Cooperation Programme 2005 Transition Facility Statistical Cooperation Programme 2005

LOT 2 – Pesticide Indicators LOT 2 – Pesticide Indicators


General features about General features about agriculture/wheatagriculture/wheat

Hungary Hungary (Eurostat (Eurostat data)data)

→ → UAA: 4.4 M ha, 70% UAA: 4.4 M ha, 70% of total land area of total land area 20032003

→ → arable land 80% arable land 80% UAA (3.6M ha), of UAA (3.6M ha), of which 0.95M ha for which 0.95M ha for wheat (20% of UAA)wheat (20% of UAA)

Slovenia (Eurostat / Slovenia (Eurostat / SI data)SI data)

→ → UAA: 0.5 M ha, 25% UAA: 0.5 M ha, 25% of total land areaof total land area

→ → 34% UAA is arable 34% UAA is arable land, of which 35 000 land, of which 35 000 ha for wheat (7% of ha for wheat (7% of UAA)UAA)


Involved partiesInvolved parties

HungaryHungary

→ → Statistical Office (KSH) Statistical Office (KSH) Environmental SectionEnvironmental Section

→ → Ministry of Agriculture Ministry of Agriculture and Rural Developmentand Rural Development

→ → Plant Protection ServicePlant Protection Service (Inspectors)(Inspectors)

SloveniaSlovenia

→ → Statistical Office (SORS)Statistical Office (SORS)

→ → Phitosanitary Phitosanitary AdministrationAdministration

→ → Agricultural Institute of Agricultural Institute of SISI

→ → Chamber of Agriculture Chamber of Agriculture and Forestry of SI and Forestry of SI (Inspectors)(Inspectors)


Pesticide usePesticide use

HungaryHungary

→ → 248 registered PPPs 248 registered PPPs for wheat, out of 742 for wheat, out of 742 authorised products authorised products

→ → 0.2 kg/ha a.s (2003): 0.2 kg/ha a.s (2003):

56% fungicides, 56% fungicides, 32.5% herbicides, 32.5% herbicides, 11.5% others11.5% others

SloveniaSlovenia::

→ → 80 registered PPPs 80 registered PPPs for wheatfor wheat

→ → 0.6 kg/ha a.s.:0.6 kg/ha a.s.:

27% fungicides, 27% fungicides,

72% herbicides, 72% herbicides,

2% others2% others


Sampling frameSampling frame

HungaryHungary

→→Farm register (from Farm register (from Agricultural Census Agricultural Census 2000)2000), partially , partially updated via FSS updated via FSS 2003 and 2005 2003 and 2005 (15%)(15%)

SloveniaSlovenia

→ → Farm register (from Farm register (from the Census 2000)the Census 2000), , partially updated via partially updated via FSS 2005 and 2007 FSS 2005 and 2007


Sampling errorSampling error

HungaryHungary

→ → not specifiednot specified

SloveniaSlovenia

→ → coefficient of coefficient of variation: 0.89% for variation: 0.89% for wheat and <1% for wheat and <1% for the other main the other main agricultural productsagricultural products


Sample unitSample unit

HungaryHungary

→ → farm, survey farm, survey information is filled in information is filled in at parcel level but at parcel level but calculations are then calculations are then made at farm levelmade at farm level

SloveniaSlovenia

→ → parcel but there is parcel but there is possibility to provide possibility to provide data at farm level data at farm level also if detailed info also if detailed info does not existdoes not exist


Sample sizeSample size

HungaryHungary→ → 12 000 wheat 12 000 wheat

producers (2 858 producers (2 858 enterprises,9 546 enterprises,9 546 private farms)private farms)

→ → 200 enterprises and 200 enterprises and 580 private farms580 private farms : : 780 units selected780 units selected

SloveniaSlovenia

→ → 5 000 farms 5 000 farms cultivating wheat in cultivating wheat in the FSS samplethe FSS sample

→ → 2 800 family farms 2 800 family farms plus 100 enterprises plus 100 enterprises selected (20% of selected (20% of area growing wheat)area growing wheat)


Sample stratificationSample stratification

HungaryHungary→ → 60 strata :60 strata :

3 size classes for the 3 size classes for the 20 counties (NUTS2): 20 counties (NUTS2):

<5 ha<5 ha5-100 ha 5-100 ha >100 ha>100 ha

SloveniaSlovenia→ → 4 strata:4 strata:

<50 ha <50 ha (12% of wheat farms / (12% of wheat farms /

40% of wheat area)40% of wheat area)50-<100 ha (27% / 30%)50-<100 ha (27% / 30%)100-250 ha (41% / 25%)100-250 ha (41% / 25%)

>250 ha (20% / 6 %)>250 ha (20% / 6 %)


Sample selectionSample selection

HungaryHungary

→ → 780 units correspond 780 units correspond to the maximum to the maximum number of units given number of units given budget constraints budget constraints (exists also a (exists also a substitute list)substitute list)

SloveniaSlovenia

→ → 2 900 units defined 2 900 units defined in line with budget in line with budget constraintsconstraints

Optimisation method rather than Optimisation method rather than pure result of samplepure result of sample


Survey typeSurvey type

HungaryHungary→ → 780 surveys 780 surveys carried out carried out

by electronic by electronic questionnaire : e-mail questionnaire : e-mail for the 200 enterprises for the 200 enterprises and 580 interviews by 25 and 580 interviews by 25 PPP inspectors (with lap-PPP inspectors (with lap-tops)tops)

→ → substitute list used to substitute list used to achieve 100% response achieve 100% response

→ → high qualityhigh quality responses responses (trained inspectors, (trained inspectors, involved in 2005 survey)involved in 2005 survey)

SloveniaSlovenia::→ → 200 farms : face-to-face 200 farms : face-to-face

interviews (PAPI) by 40 interviews (PAPI) by 40 advisors from the advisors from the Agricultural Advisory Agricultural Advisory Services (Chamber of Services (Chamber of Agriculture and Forestry) Agriculture and Forestry)

→ → good response rate (+/- good response rate (+/- 100%), high quality100%), high quality


Survey type (cont.)Survey type (cont.)

HungaryHungary SloveniaSlovenia::

→ → 1 350 farms : postal 1 350 farms : postal surveys (POST) with surveys (POST) with instructionsinstructions

→ → relatively small relatively small response rate but response rate but good quality good quality responsesresponses




→ → 1 350 farms 1 350 farms interviewed by interviewed by telephone (CATI) by telephone (CATI) by studentsstudents

→ → high level of high level of responses but more responses but more errors than the other errors than the other 2 methods2 methods




→ → no computer-no computer-assisted face-to-face assisted face-to-face interviewsinterviews

→ → no survey by emailno survey by email


Survey planningSurvey planning

HungaryHungary→ → original plan: start in original plan: start in

June, delayed to June, delayed to summer summer

→→ early results in early results in SeptemberSeptember

→→ processing eased by processing eased by several checks directly several checks directly when entering the data when entering the data (application rate min.-(application rate min.-max., treated area, max., treated area, application date etc.)application date etc.)

SloveniaSlovenia::→ → start in October start in October

→ → early results by year end early results by year end

→→ processing eased by processing eased by several checks directly several checks directly when entering the data when entering the data (application rate, farmers (application rate, farmers contact details etc.)contact details etc.)


Objectives/Future plansObjectives/Future plans

HungaryHungary

→ → nothing concrete nothing concrete foreseen for futureforeseen for future

→ → though, exists a though, exists a demand for such demand for such statistics (e.g. risk)statistics (e.g. risk)

SloveniaSlovenia::

→ → long-term visionlong-term vision

→ → survey every 2 years survey every 2 years (crop rotation)(crop rotation)

→ → exists also demand exists also demand for such statistics for such statistics (e.g. risk)(e.g. risk)

Documents

ICON-Institute Public Sector1 Overview of experiences in Slovenia and Hungary Riga, 19-20 July 2007 Transition Facility Statistical Cooperation Programme