challenges of adapting the slovenian national statistical system of agriculture

Challenges of Adapting the Slovenian National

Statistical System of Agriculture Concerning European and Other International Requirements

MEXSAI, Cancun 2 – 4 November 2004

Barbara KUTIN, BSc (Agric)Statistical Office of the Republic of SloveniaAddress: Vožarski pot 12, SI-1000 Ljubljana

E-mail: [email protected]

Barbara KUTIN, MEXSAI, Cancun 2 – 4 November 2004

Structure of the presentation

≻ Introduction: Agriculture in Slovenia

≻ Adjustment of agriculture statistics to requirements of the EU and other international organisations

the period up to 2000 the period after 2000

≻ The future of agriculture statistics


Introduction: Agriculture in Slovenia

Area (Register of Spatial Units, 2001) 20 273 km2- wooded area 60 %- all agricultural area 34 %- other 6 %

Population of RS (2002) 1 964 036Population on family farms’ households (AC, 2000)322 981 or 16 % of population

GDP of Agriculture, Hunting and Forestry (2002)2,8 %

% of agricultural holdings by tipe of production, Slovenia 2000

0 5 10 15 20 25 30

2 Horticulture

5 Pigs and poultry

1 Field crops farming

3 Permanent crops

6 Mixed crops production

8 Mixed crops and livestock production

4 Grazin livestock

7 Mixed livestock production

%


Selected indicators on farm structure (1)Selected indicators on farm structure (1)Selected indicators on farm structure (1)Selected indicators on farm structure (1)


70%



Selected indicators on farm structure (2)Selected indicators on farm structure (2)Selected indicators on farm structure (2)Selected indicators on farm structure (2)

% of agricultural holdings by size clases of ESU, Slovenia 2000

01020304050

0 ESU under 2ESU

2 - 3ESU

4 - 7ESU

8 - 15ESU

16 - 39ESU

40 andmoreESU

Average size of agricultural holdings in ha of UAA, Slovenia 2000 and 2003

6,3

5,6

5

5,5

6

6,5

2000 2003 Year

ha


Agricultural, Forestry and Fishing statistics: review of surveys

FIELDSFIELDS

Farm Structure Surveys

Farm Structure Surveys

Crop production

Crop production

Animal production

Animal production

Agriculture Prices

Agriculture Prices

Forestry, Hunting

Forestry, Hunting

Fishery statistics

Fishery statistics

Use of pesticides, manure, energy,

water in agriculture production

Use of pesticides, manure, energy,

water in agriculture production

International demands

International demands

Administrative data sourcesAdministrative data sources

Administrative data sourcesAdministrative data sources


EAA, SBS


Adjustment of agriculture statistics to requirements of the EU and other international organisations - the period up to 2000

Data collection:

up to 1997: on the basis of estimates by statisticians and experts on the field

since 1997 data have been collected in different ways (also with sample survays with interviewers)



Determination of the treshold (criteria for European size class agricultural holdings) and definitions:

adjustment of definitions of agricultural holding and agricultural production to the EU recommendations on the basis of the EU legalislation and thresholds used in some EU Member Countries

determination of the treshold ...

Final treshold for the AC 2000 (124 234 agricultural holdings → finally 93 345)

All agricultural holdings which have:a) at least 1hectare of UAA, orb) less than 1 hectare of UAA, but

- at least 0.1 ha of UAA and 0.9 ha of forest, or- at least 0.5 ha of arable land and kitchen gardens, or- at least 0.05 ha of intensive vineyards, or- at least 0.3 ha of all vineyards, or- at least 0.1 ha of orchard plantations, or- at least 0.3 ha of all orchards, or- at least 0.3 ha of vineyards and orchards, or- 1 and more livestock units (LSU), or- more than 50 beehives, or- are market producers of vegetables.

Most data are presented for the agricultural holdigs satisfying the criteria of the EU comparable treshold (86 466 agricultural holdings):a) at least 1hectare of UAA, orb) less than 1 hectare of UAA, but

- at least 0.1 ha of UAA and 0.9 ha of forest, or- at least 0.3 ha of vineyards and / or orchards, or- 2 or more livestock units (LSU), or- 0.15 – 0.3 ha of vineyards and 1 or 2 LSU, or- more than 50 beehives, or- are market producers of vegetables.




Classifications:

Classifications according to which data were collected also needed to be updated.

to take into account data comparability for the period before the change

complementarity between the updated classification of agricultural products and other classifications defining the same products but for other purposes (e.g. HS/CN, CPA).

a multilevel classification, which at the lowest level contains a very detailed list of products


Adjustment of agriculture statistics to requirements of the EU and other international organisations - the period after 2000

Statistical register of agricultural holdings

to provide a good sampling frame for preparing samples for surveys the history of data on agricultural holdings since 2000 updating:

various statistical sources (statistical surveys), IACS (Integrated Administrative and Control System) to adjust the method of updating the register

future development:future development:links with other statistical registerslinks with other statistical registers

business registerbusiness registerregister of population (‘dead’ agricultural holdings)register of population (‘dead’ agricultural holdings)

ADMINISTRATIVE DATAON INDIVIDUAL HOLDINGSADMINISTRATIVE DATA

ON INDIVIDUAL HOLDINGS

ADDRESS DATA

FARM CHARACTERISTICS

REGISTERREGISTER

UPDATINGPROCEDURES

OUTPUT FILESOUTPUT FILES-REVIEW OF COURENT LIST-REVIEW OF HISTORY-LISTS OF HOLDINGS (sample frame, addresses)

-REVIEW OF COURENT LIST-REVIEW OF HISTORY-LISTS OF HOLDINGS (sample frame, addresses)

UPDATINGPROCEDURES

UPDATING stat. farm registerUPDATING stat. farm register

DATA FROM STATISTICAL REGISTERS

DATA FROM STATISTICAL REGISTERS

DATA FROM STATISTICAL

SURVEYs

DATA FROM STATISTICAL

SURVEYs



Use of administrative sources - as much as possible

reduce costs, no response burden

(current and expected) difficulties with using administrative data

methodological work ...



Example 1: different classifications used in different data sources: milk and milk products statistics

Example 2: Use of IACS* data: - not enough detailed list of variables, - good quality data are only data on financial supported categories

* IASC = Integrated Administrative and Control System

Type of cheese Dairy statistics CN

Soft ≥ 68% > 72%

Medium-soft ≥ 62%; < 68% > 62%; ≤ 72%

Medium-hard ≥ 55%; < 62% > 52%; ≤ 62%

Hard ≥ 47%; < 55% > 47%; ≤ 52%

Extra hard < 47% ≤ 47%



Data dissemination

internet dissemination (SI-STAT): use of pc-axis

preparation and dissemination of data according to special needs of users: use of Oracle Discoverer for fast tabulating


The future of agriculture statistics

Continuation of building a statistical system that is economical in data collection adjustable as regards data sources

and provides quality and objective data

New approach and new knowledge in preparing statistical data: the needs are changing need for harmonisation of administrative sources


future demands,future demands,future agricultural statististicsfuture agricultural statististics

present agricultural statistics:present agricultural statistics:if you want to be up-to-date in the future, if you want to be up-to-date in the future, you must forsee future demands today.you must forsee future demands today.

challenges of adapting the slovenian national statistical system of agriculture

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