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LIVESTOCK SYSTEMS UNDER PRESSURE: A Socio-economic approach

LIVESTOCK SYSTEMS UNDER PRESSURE: A Socio-economic approach. L. Louloudis, S. Klonaris, D. Dimopoulos, S. Christopoulos, I. Theocharopoulos. Haarlem meeting 6-7 th of Febuary. Some Introductory Notes. Elaboration of data derived by field survey on 370 Grazing Livestock Systems

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LIVESTOCK SYSTEMS UNDER PRESSURE: A Socio-economic approach

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  1. LIVESTOCK SYSTEMS UNDER PRESSURE: A Socio-economic approach L. Louloudis, S. Klonaris, D. Dimopoulos, S. Christopoulos, I. Theocharopoulos Haarlem meeting 6-7th of Febuary

  2. Some Introductory Notes • Elaboration of data derived by field survey on 370 Grazing Livestock Systems • Out of an original sample of aprox. 370 GLS only 57 were available • Approach based on the application of the Knowledge Rules diagram made during an earlier stage of the project • Example based on LFAs path of KR due to current non-availability of certain variables e.g. investments information • Results are provisionary subject to alterations after all data is available

  3. Succession No Yes Plains Decision Path Specialised Others On Farm Income Off Farm Income % of Gross Value of % of the FFI Production <10% >40% <10% >30-40% 10-40% 10-30% Investments during the last 5 years <EU>EU Networks High No/Low UR & RDP UR <& RDP> UR >& RDP< Continue farming Might continue farming Stop farming Might stop farming Both > Both <

  4. Pluriactive Yes No LFA’s Decision Path High No/Low Self -Processing NoYes PDO NO YES Self marketing NoYes Networks Low/NoHigh Support Yes No Continue farming Might continue farming Stop farming Might stop farming Added value Age <55 >55

  5. LFAs: Selection of questions related to socio-economic analysis • Pluriactivity: 8,9,10,11 • Self-Processing: 47,62,69,72,79,81 • PDO: 14 • Self-marketing: 48,49,63,72,81 • Networks: 51,65,75,84 • Support:13 • Age: 3

  6. Legend: Info directly derived from QR Info indirectly derived from QR Results: Farmer’s Decision (1: Continue, 2: Might Continue, 3: Stop)

  7. Questionnaire hurdles for our analysis • Questions on “pluriactivity” could not be used as to extract quantitative information • Existence of networks –to be clarified- according to the form of “contractual agriculture”in different production sectors in each M-S • Area and Farm Profiles are essential for a comparative reading of the field research data

  8. ELPEN Region intensity ELPEN Region 14 3.00 12,3% 1.00 ELPEN Region 12 ELPEN Region 1 15,8% 45,6% ELPEN Region 5 26,3% 2.00 LAND_USE size Arable 21,1% Small_scale 14,0% Permanent_grass Large_scale 47,4% 42,1% Grassland 12,3% Off_farm_fodder Medium_scale 3,5% 43,9% Off_farm_grazing 15,8%

  9. An illustration of socio-economic indexes developed, based on the 57 RFs available Per Livestock Sector Per ELPEN Region • Self-processing • Pluriactivity • Self-marketing • Age • Self-processing • Pluriactivity • Self-marketing • GL sectors • Size • Non-agricultural tranfers • Networks • PDO

  10. Example: State of pluriactivity

  11. Decision for Future LFAs Stop Farming 10% Continue Farming 48% Might Cont Farming 43%

  12. Preliminary Conclusions • It seems that the vast majority of farms in the ELPEN Regions examined are determined (to different degrees) to continue • Pluriactivity is a common feature in the examined cases, but most profound in Cattle & Goat Systems • Farms with the greater possibility to cease activity have the following characteristics: • Located in ELPEN Region 1 • Breed cattle & mixed GL • Specialized at meat production • Large-scale

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