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FARMIS in brief

eine Deuschlandkarte mit landwirtschaftlichen Symbolen über einem Foto aus dem inneren eines Computers
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FARMIS is a comparative-static programming model for farm groups based on information from the farm accountancy data network (FADN). It provides a detailed reproduction and projection of agricultural production activities at farm level. Competition of farms on important factor markets is modelled endogenously.

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Type

Mathematical programming model  

Main field of application

Differentiated analysis of policy impacts on farms of different type, size, etc.

Opportunities

Sector-consistent modelling of policy impacts taking into account farm characteristics as well as ownership and prices of quotas and land for income assessments  

Limits

Structural change currently projected exogenously; no single-farm projections; projection of new activities restricted  

Typical applications

Analyses of CAP reforms (e.g. Luxembourg Reform; sugar market reform)  

Main partners

BMEL, Humboldt-University of Berlin

Specifics

  • Flexible, modular design, allowing the use of different data bases (currently German, Swiss and EU-FADN)
  • Calibration by positive mathematical programming
  • Aggregation of farm group results to sector level

Data base

Farm accountancy data network (FADN). The current base year is based on accountancy information from national FADN of the farming years 2003/14, 2014/15 and 2015/16. The stratification by agricultural region, main farm type, farm size and management system provides 642 farm group models.

Regions / Countries / Farms

  • Germany: flexible regionalisation
  • Differentiation by farm characteristics (e.g. type, size)  

Differentiation of production

27 crop und 22 livestock activities  

Policy instruments

Production quotas, direct payments, decoupling, modulation, set-aside, stocking rate limits, minimum land use requirements  

Trade

Quotas, land, young animals  

Endogenous variables

Factor allocation, supply quantities and income at farm and sector level, prices of quotas, land, young animals  

Exogenous variables

Product prices, policy variables (e. g. area payments, quotas), projection of technical coefficients  

Software

GAMS

Literature

  1. 0

    Offermann F, Banse M, Freund F, Haß M, Kreins P, Laquai V, Osterburg B, Pelikan J, Rösemann C, Salamon P (2018) Thünen-Baseline 2017 - 2027: Agrarökonomische Projektionen für Deutschland. Braunschweig: Johann Heinrich von Thünen-Institut, 116 p, Thünen Rep 56, DOI:10.3220/REP1516952942000

    https://literatur.thuenen.de/digbib_extern/dn059667.pdf

  2. 1

    Ehrmann M (2017) Modellgestützte Analyse von Einkommens- und Umweltwirkungen auf Basis von Testbetriebsdaten. Braunschweig: Johann Heinrich von Thünen-Institut, 250 p, Thünen Rep 48, DOI:10.3220/REP1493970811000

    https://literatur.thuenen.de/digbib_extern/dn058604.pdf

  3. 2

    Hecht J, Moakes S, Offermann F (2016) Redistribution of direct payments to permanent grassland: intended and unintended impact. EuroChoices 15(3):25-32, DOI:10.1111/1746-692X.12099

  4. 3

    Deppermann A, Grethe H, Offermann F (2014) Distributional effects of CAP liberalisation on western German farm incomes: an ex-ante analysis. Eur Rev Agric Econ 41(4):605-626, DOI:10.1093/erae/jbt034

  5. 4

    Offermann F, Margarian A (2014) Modelling structural change in Ex-Ante-Policy Impact Analysis. In: Zopounidis C, Kalogeras N, Mattas K, Dijk G, Baourakis G (eds) Agricultural cooperative management and policy : new robust, reliable and coherent tools. Cham: Springer International Publ, pp 151-162, DOI:10.1007/978-3-319-06635-6_8

  6. 5

    Bertelsmeier M (2005) Analyse der Wirkungen unterschiedlicher Systeme von direkten Transferzahlungen unter besonderer Berücksichtigung von Bodenpacht- und Quotenmärkten. Münster: Landwirtschaftsverl, XIV, 254 p, Berlin, Humboldt-Universität, Landwirtschaftlich-Gärtnerische Fakultät, Diss, Angew Wiss 510

  7. 6

    Offermann F, Kleinhanß W, Hüttel S, Küpker B (2005) Assessing the 2003 CAP reform impacts on German Agriculture using the farm group model FARMIS. In: Arfini F (ed) Modelling agricultural policies: state of the art and new challenges : proceedings of the 89th European Seminar of the European Association of Agricultural Economists (EAAE), Parma, Italy, February 3-5, 2005. Parma: Monte Universita Parma Editore, pp 546-564

  8. 7

    Osterburg B, Offermann F, Kleinhanß W (2001) A sector consistent farm group model for German agriculture. In: Heckelei T, Witzke HP, Henrichsmeyer W (eds) Agricultural sector modelling and policy information systems : proceedings of the 65th European Seminar of the European Association of Agricultural Economists (EAAA), March 29-31, 2000, Bonn, Germany. Kiel: Wissenschaftsverl Vauk, pp 152-159

    Contact person

    Dr. Frank Offermann

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