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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 Slovenia
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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 Slovenia Address: Vožarski pot 12, SI-1000 Ljubljana E-mail: barbara.kutin@gov.si
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 Barbara KUTIN, MEXSAI, Cancun 2 – 4 November 2004
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) 1 964 036 Population on family farms’ households (AC, 2000) 322 981 or 16 % of population GDP of Agriculture, Hunting and Forestry (2002) 2,8 % Barbara KUTIN, MEXSAI, Cancun 2 – 4 November 2004
Introduction: Agriculture in Slovenia Selected indicators on farm structure (1) 70% Barbara KUTIN, MEXSAI, Cancun 2 – 4 November 2004
Introduction: Agriculture in Slovenia Selected indicators on farm structure (2) Barbara KUTIN, MEXSAI, Cancun 2 – 4 November 2004
Introduction: Agriculture in Slovenia Agricultural, Forestry and Fishing statistics: review of surveys Administrative data sources FIELDS Farm Structure Surveys Crop production Animal production Forestry, Hunting Fishery statistics Agriculture Prices Use of pesticides, manure, energy, water in agriculture production EAA, SBS International demands Administrative data sources Barbara KUTIN, MEXSAI, Cancun 2 – 4 November 2004
Adjustment of agriculture statistics to requirements of the EU and otherinternational 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) Barbara KUTIN, MEXSAI, Cancun 2 – 4 November 2004
Adjustment of agriculture statistics to requirements of the EU and otherinternational organisations - the period up to 2000 • 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 ... Barbara KUTIN, MEXSAI, Cancun 2 – 4 November 2004
Adjustment of agriculture statistics to requirements of the EU and otherinternational organisations - the period up to 2000 Final treshold for the AC 2000 (124 234 agricultural holdings → finally 93 345) All agricultural holdings which have: a) at least 1hectare of UAA, or b) 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, or b) 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.
Adjustment of agriculture statistics to requirements of the EU and otherinternational organisations - the period up to 2000 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 Barbara KUTIN, MEXSAI, Cancun 2 – 4 November 2004
Adjustment of agriculture statistics to requirements of the EU and otherinternational 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: • links with other statistical registers • business register • register of population (‘dead’ agricultural holdings) Barbara KUTIN, MEXSAI, Cancun 2 – 4 November 2004
UPDATING stat. farm register ADDRESS DATA FARM CHARACTERISTICS DATA FROM STATISTICAL SURVEYs UPDATING PROCEDURES DATA FROM STATISTICAL REGISTERS REGISTER UPDATING PROCEDURES ADMINISTRATIVE DATA ON INDIVIDUAL HOLDINGS -REVIEW OF COURENT LIST -REVIEW OF HISTORY -LISTS OF HOLDINGS (sample frame, addresses) OUTPUT FILES
Adjustment of agriculture statistics to requirements of the EU and otherinternational organisations - the period after 2000 • Use of administrative sources - as much as possible • reduce costs, no response burden • (current and expected) difficulties with using administrative data • methodological work ... Barbara KUTIN, MEXSAI, Cancun 2 – 4 November 2004
Adjustment of agriculture statistics to requirements of the EU and otherinternational organisations - the period after 2000 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 Barbara KUTIN, MEXSAI, Cancun 2 – 4 November 2004
Adjustment of agriculture statistics to requirements of the EU and otherinternational organisations - the period after 2000 • Data dissemination • internet dissemination (SI-STAT): use of pc-axis • preparation and dissemination of data according to special needs of users: use of Oracle Discovererfor fast tabulating Barbara KUTIN, MEXSAI, Cancun 2 – 4 November 2004
Adjustment of agriculture statistics to requirements of the EU and otherinternational organisations - the period after 2000 Barbara KUTIN, MEXSAI, Cancun 2 – 4 November 2004
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 Barbara KUTIN, MEXSAI, Cancun 2 – 4 November 2004
future demands, future agricultural statististics present agricultural statistics: if you want to be up-to-date in the future, you must forsee future demands today. Barbara KUTIN, MEXSAI, Cancun 2 – 4 November 2004