Food Options at Farm Level
Farm Level Economics and Data Processing
23 April 2008
Stéphane De Cara Ingo HuckUMR Economie Publique Research Unit SustainabilityINRA and Global Change
Hamburg University
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Overview
• Objectives• FADN structure• From farm-level data to inputs for the
EU-FASOM model:– Computation of inputs– Scaling-up at the desired resolution
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Farm-level data
• Account for heterogeneity of conditions of production among European farms
• Important inputs for the model to compute opportunity costs due to land-use competititon between food and non-food production
• Only part of the information needed :– Non-food options– EPIC simulations=> Need to aggregate data at a harmonized resolution
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Objectives
Providing EU-FASOM with economic (revenue, costs) and farms’ structure data
• Costs, subsidies and sales revenues for the activities modelled in EU-FASOM (crop and livestock)
• Derive input demand (fertiliser, electricity, labour, fuel, heat) for livestock and crop activities
• Grassland area required for animal feeding• Provide flexible aggregation across types of farming,
sizes, altitudes, etc. at desired resolution (country)
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FADN Data Structure
Economic Value
Year
Economic Size
Farmtype
Altitude
Country /Region
FADN
• Detailed information about structure, total costs and revenues, subsidies
• Sample representative at the regional scale
• Scaling up results using FADN weights
• EU-FASOM Sets• Consistency across the EU • Coverage
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Bottom-up approach
Revenue
Subsidies Inputs
Livestock Units
Crop Area
FADN Values
- From farm-level to country- Finer resolution
-Types of farming-Size-Soil types / HRUs (EPIC)
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Farm-level information
• FADN provides whole-farm economic information (total costs) for each cost item– Wages and Rent– Pesticides, Seeds, Fertilizers– Fuel, Heat and Electricity– Labour
• EU-FASOM requires crop- or animal-specific costs
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Deriving crop- or animal-specific input costs
• Revenues (output, prices) are given for each crop or livestock activity
• Input costs are allocated proportionally to each activity’s share in total revenue
• Simplifying assumption about the underlying production function
• Alternative methods (econometric, survey-based data) to be further investigated
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Automatic Generation of Detailled and Aggregated Data for EU-FASOM
• Automatic processing of FADN information within EU-FASOM
• The model produces information about the required inputs costs and revenues for– Different Farm Sizes/Farm Types or aggregated
Size/Farm Types classes– Country specific mean values
• The tables generated at the desired resolution are subsequently used in EU-FASOM
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Conclusions
• Processing of a large amount of information that allows flexible aggregation of EU-FASOM inputs and outputs
• FADN provides important information about economic performances at the farm-level
• However, there is a strong need for information about agricultural practices at the farm-level – Crop- and livestock-specific costs – Physical quantities of inputs