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Eu-Wide Farm Types Supply In Capri - How To Consistently Disaggregate Sector Models Into Farm Type Model

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  • Gocht, Alexander
  • Britz, Wolfgang

Abstract

The aim of the paper is to motivate the introduction and characterisation of an EU-wide farm type model in the CAPRI (Common Agricultural Policy Regional Impact) model, partly based on a comparison with other farm model approaches and to present the estimation approach necessary to achieve the disaggregation. The approach is based on an estimation which smoothly integrates the information from the EU-wide Farm Structure Survey (FSS) into the CAPRI model database. Example results from Denmark show that this approach outperforms simple scaling by uniform factors by endogenously taking information about the type of farming and economic size into account during the estimation.

Suggested Citation

  • Gocht, Alexander & Britz, Wolfgang, 2010. "Eu-Wide Farm Types Supply In Capri - How To Consistently Disaggregate Sector Models Into Farm Type Model," 50th Annual Conference, Braunschweig, Germany, September 29-October 1, 2010 93960, German Association of Agricultural Economists (GEWISOLA).
    • Handle: RePEc:ags:gewi10:93960
    DOI: 10.22004/ag.econ.93960
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    Cited by:

    1. Gocht, Alexander & Britz, Wolfgang & Ciaian, Pavel & Gomez y Paloma, Sergio, 2011. "EU-wide Distributional Effects of EU Direct Payments Harmonization analyzed with CAPRI," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114624, European Association of Agricultural Economists.
    2. Gocht, Alexander & Roder, Norbert, 2011. "Salvage the treasure of geographic information in Farm census data," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 115982, European Association of Agricultural Economists.
    3. Gocht, Alexander & Roder, Norbert, 2011. "Salvage the treasure of geographic information in Farm census data," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114824, European Association of Agricultural Economists.
    4. Robert M'barek & Jesus Barreiro-Hurle & Pierre Boulanger & Arnaldo Caivano & Pavel Ciaian & Hasan Dudu & Maria Espinosa Goded & Thomas Fellmann & Emanuele Ferrari & Sergio Gomez Y Paloma & Celso Gorri, 2017. "Scenar 2030 - Pathways for the European agriculture and food sector beyond 2020," JRC Research Reports JRC108449, Joint Research Centre.
    5. Britz, Wolfgang & van Ittersum, Martin K. & Oude Lansink, Alfons G.J.M. & Heckelei, Thomas, 2012. "Tools for Integrated Assessment in Agriculture. State of the Art and Challenges," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 1(2), pages 1-26, August.
    6. Neuenfeldt, Sebastian & Gocht, Alexander, 2014. "A handbook on the use of FADN database in programming models," Thünen Working Papers 35, Johann Heinrich von Thünen Institute, Federal Research Institute for Rural Areas, Forestry and Fisheries.
    7. Alexander Gocht & Norbert Röder & Sebastian Neuenfeldt & Hugo Storm & Thomas Heckelei, 2012. "Modelling farm structural change: A feasibility study for ex-post modelling utilizing FADN and FSS data in Germany and developing an ex-ante forecast module for the CAPRI farm type layer baseline," JRC Research Reports JRC75524, Joint Research Centre.
    8. Neuenfeldt, Sebastian & Gocht, Alexander, 2014. "A Handbook on the use of FADN Database in Programming Models," Thünen Working Paper 196911, Johann Heinrich von Thünen-Institut (vTI), Federal Research Institute for Rural Areas, Forestry and Fisheries.
    9. Britz, Wolfgang, 2012. "Machine Learning as a data driven tool in result analysis," Conference papers 332201, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    10. Roeder, Norbert & Gocht, Alexander, 2011. "Municipality Disaggregation Of German'S Agricultural Sector Model Raumis," 122nd Seminar, February 17-18, 2011, Ancona, Italy 99248, European Association of Agricultural Economists.

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