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A farm typology for North Rhine-Westphalia to assess agri-environmental policies

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  • Till Kuhn, David Schäfer

Abstract

The use of farm models to analyze agri-environmental policies requires selecting farms which can be hypothetical, typical or observed ones. Farm typologies, understood as a grouping of farms according to relevant farm characteristics, allow selecting most prevailing farm types for a modelling exercise. Thereby, a farm type represents a share of the real-word farm population. We develop a farm typology for the German Federal State of North Rhine-Westphalia based on the Farm Structure Survey 2016. It is designed to assess the revision of the German fertilization regulations in 2017 by applying a combination of a bio-physical crop model and a bio-economic farm model. The derived typology covers 77% of farms in North Rhine-Westphalia and comprises 210 farm types. Farms are grouped according to specialization, size in relation to area, and stocking density. In addition, a typical crop rotation is defined for every specialization in the nine soil-climate regions of North Rhine-Westphalia. We show that the proposed typology provides the necessary information for the selection of farm types as well as for the model initialization and parameterization in the described modelling exercise. Furthermore, we provide the information to adapt and extent the typology to similar research questions and upcoming Farm Structure Surveys. The incorporation of expert knowledge to identify farm structures which are not captured by the official statistic could improve the typology.

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  • Till Kuhn, David Schäfer, 2018. "A farm typology for North Rhine-Westphalia to assess agri-environmental policies," Discussion Papers 279702, University of Bonn, Institute for Food and Resource Economics.
    • Handle: RePEc:ags:ubfred:279702
    DOI: 10.22004/ag.econ.279702
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    1. Mack, Gabriele & Huber, Robert, 2017. "On-farm compliance costs and N surplus reduction of mixed dairy farms under grassland-based feeding systems," Agricultural Systems, Elsevier, vol. 154(C), pages 34-44.
    2. van Calker, K. J. & Berentsen, P. B. M. & de Boer, I. M. J. & Giesen, G. W. J. & Huirne, R. B. M., 2004. "An LP-model to analyse economic and ecological sustainability on Dutch dairy farms: model presentation and application for experimental farm "de Marke"," Agricultural Systems, Elsevier, vol. 82(2), pages 139-160, November.
    3. Sierra, Jorge & Causeret, François & Chopin, Pierre, 2017. "A framework coupling farm typology and biophysical modelling to assess the impact of vegetable crop-based systems on soil carbon stocks. Application in the Caribbean," Agricultural Systems, Elsevier, vol. 153(C), pages 172-180.
    4. Andersen, Erling & Verhoog, A. David & Elbersen, Berien S. & Godeschalk, Frans E. & Koole, Boudewijn, 2006. "A multidimensional farming system typology," Reports 9291, Wageningen University, SEAMLESS: System for Environmental and Agricultural Modelling; Linking European Science and Society.
    5. Gaiser, Thomas & Perkons, Ute & Küpper, Paul Martin & Kautz, Timo & Uteau-Puschmann, Daniel & Ewert, Frank & Enders, Andreas & Krauss, Gunther, 2013. "Modeling biopore effects on root growth and biomass production on soils with pronounced sub-soil clay accumulation," Ecological Modelling, Elsevier, vol. 256(C), pages 6-15.
    6. Reidsma, Pytrik & Janssen, Sander & Jansen, Jacques & van Ittersum, Martin K., 2018. "On the development and use of farm models for policy impact assessment in the European Union – A review," Agricultural Systems, Elsevier, vol. 159(C), pages 111-125.
    7. van Ittersum, Martin K. & Ewert, Frank & Heckelei, Thomas & Wery, Jacques & Alkan Olsson, Johanna & Andersen, Erling & Bezlepkina, Irina & Brouwer, Floor & Donatelli, Marcello & Flichman, Guillermo & , 2008. "Integrated assessment of agricultural systems - A component-based framework for the European Union (SEAMLESS)," Agricultural Systems, Elsevier, vol. 96(1-3), pages 150-165, March.
    8. Bernd Lengers & Wolfgang Britz & Karin Holm-Müller, 2013. "Comparison of GHG-Emission Indicators for Dairy Farms with Respect to Induced Abatement Costs, Accuracy, and Feasibility," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 35(3), pages 451-475.
    9. Forstner, Bernhard (Ed.) & Zavyalova, Ekaterina (Ed.), 2017. "Betriebs- und Unternehmensstrukturen in der deutschen Landwirtschaft: Workshop zu vorläufigen Ergebnissen und methodischen Ansätzen," Thünen Working Papers 80, Johann Heinrich von Thünen Institute, Federal Research Institute for Rural Areas, Forestry and Fisheries.
    10. Belhouchette, Hatem & Louhichi, Kamel & Therond, Olivier & Mouratiadou, Ioanna & Wery, Jacques & Ittersum, Martin van & Flichman, Guillermo, 2011. "Assessing the impact of the Nitrate Directive on farming systems using a bio-economic modelling chain," Agricultural Systems, Elsevier, vol. 104(2), pages 135-145, February.
    11. Kobrich, C. & Rehman, T. & Khan, M., 2003. "Typification of farming systems for constructing representative farm models: two illustrations of the application of multi-variate analyses in Chile and Pakistan," Agricultural Systems, Elsevier, vol. 76(1), pages 141-157, April.
    12. Gocht, Alexander & Britz, Wolfgang, 2011. "EU-wide farm type supply models in CAPRI--How to consistently disaggregate sector models into farm type models," Journal of Policy Modeling, Elsevier, vol. 33(1), pages 146-167, January.
    13. Forstner, Bernd & Zavyalova, Ekaterina, 2017. "Betriebs- und Unternehmensstrukturen in der deutschen Landwirtschaft: Workshop zu vorläufigen Ergebnissen und methodischen Ansätzen," Thünen Working Paper 267948, Johann Heinrich von Thünen-Institut (vTI), Federal Research Institute for Rural Areas, Forestry and Fisheries.
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