FARMIS in brief

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.

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, milk quota abolishment)  

Main partners

BMEL, FiBL (Switzerland), University of Aberystwyth (UK), University of Hohenheim, 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
  • Coupling to partial equilibrium market models

Data base

Farm accountancy data network (FADN). The current base year is based on accountancy information from national FADN of the farming years 2009/10, 2010/11 and 2011/12. The stratification by agricultural region, main farm type, farm size and management system provides 646 farm group models (of which 90 farm groups represent organic farming).

Regions / Countries / Farms

  • Germany: flexible regionalisation
  • EU member states: Currently France, UK, Germany, Netherlands, Hungary (regionalisation at FADN-region level)
  • 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

Literatur

hits: 8

  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
    pdf document (limited accessibility) 3390 kb
  2. 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
    pdf document (limited accessibility) 4353 kb
  3. 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. 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
  5. 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
  6. 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. 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. 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

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