- Courses Summer Term 2018
- Master of Agricultural and Food Economics (AFECO)
- Theodor-Brinkmann-Graduate School
- Modeling structural change and agricultural nutrient flows across scales in regions of North Rhine-Westphalia Gefördert durch das Ministerium für Klimaschutz, Umwelt, Landwirtschaft, Natur- und Verbraucherschutz des Landes Nordrhein-Westfalen im Rahmen des Lehr- und Forschungsschwerpunktes "Umweltverträgliche und Standortgerechte Landwirtschaft", 2016-2018
- Further projects
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Quantitative economic simulation tools
This page offers some basic information on the economic simulation tools currently in use or under development by our team. In the left columns are direct links to the webpages of the tools.
FARMDYN provides a flexible, modular template to simulate different farming systems (dairy, pig fattening, sows, arable farming, biogas) at single farm scale. It is fully dynamic, captures in-divisibilities in investments and labour use based on integer programming, depicts selected farm management decisions (e.g. feeding, manure management, labour use) with a sub-annual resolution and comprises different states of nature with related state-contigent decisions. Farm labour, machinery and stable use are modelled in rich detail. Operational since 2012, the original version was developed in the context of the DFG funded project "The relation between indicators for the crediting of emission rights and abatement costs - a systematic modeling approach for dairy farms". The model is written in GAMS and steered by a Graphical User Interface based on GGIG.
Documentation: Britz W., Lengers, B,. Kuhn, T. and Schaefer, D. (2014): A highly detailed template model for dynamic optimization of farms - FARMDYN, University of Bonn, Institute for Food and Resource Economics, Version 9/2016, 147 pages
ABMSIM - A flexible framework for Agent Based Models to simulate spatially explicit structural change in agriculture
ABMSim is a research activity to analyze structural change and nutrient exchanges between individal farms a spatial explicit setting. It combines a Farmdyn as a detailed single farm model based on a meta-modeling approach with an Agent Based Model (ABM) which covers a farm population from agricultural census statistics at commune level in an actual landscape with a 100x100m resolution. The model is written in Java and steered by a Graphical User Interface based on GGIG
Documentation: Britz, W. (2014): ABMSim - A flexible framework for Agent Based Models to simulate spatially explicit structural change in agriculture, Methodological and technical documentation, Version 1.0, 32 pages
CGEBOX - A modular and extendable framework for Computable General Equilibrium Modeling
CGEBOX is a GAMS based CGE modeling tool which is based on the GTAP family of CGEs, but offering extensions and flexibility to include features of other well-known CGEs. It can be used in comparative-static and recursive-dynamic mode, as a global and single region model. Currently, features of GTAP-E, GTAP-AEZ and GTAP-AGR can be used in modular fashion, trade can be depicted either based on Armington/CET, or using the Krugman or Melitz models, in combination with a MRIO approach. Besides the regional household approach, separate accounts for the government and (several) private household(s) can be introduced, drawing on myGTAP. Production for Europe can be depicted at the level of 250 NUTS II regions. G-RDEM, developed by Roberto Roson and Wolfgang Britz, offers a recursive-dynamic variant with features relevant for the construction of long-term baselines. The model is developed jointly with the GTAP center in Purdue, written in GAMS and steered by a Graphical User Interface based on GGIG.
Documentation: Britz, W., (2016), CGEBOX model documentation, Version 11/2018, 287 pages, PDF (methodological documentation, installation instructions, GUI user guide)
GGIG - Gams Graphical Interface Generator
GGIG is a Java based tool which generates from XML-files interfaces for economic model including well-developed tools for result exploitation (tables, maps, graphs) and complements GAMS as an implementation backbone for the different tools by the group.
Documentation: Britz, W (2016): GGIG user guide, 169 pages, Version June 2016
Last updated: Friday, December 07, 2018
- New H2020 research project MINDSTEP, 2019-2023
- New H2020 research project LIFT, 2018-2022
- Aus unserer Forschung: Effiziente Politikmassnahmen zur Foerderung von Kurzumtriebsplantagen
- An economic and environmental assessment of a glyphosate ban for the example of maize production (2019) Boecker, T., Moehring, N., Finger, R., Britz, W. (2019): An economic and environmental assessment of a glyphosate ban for the example of maize production, European Review of Agricultural Economics, available online 5th February 2019
- Econometric mathematical programming: an application to the estimation of costs and risk preferences at farm level (2019) Arata, L., Britz, W. (2019): Econometric mathematical programming: an application to the estimation of costs and risk preferences at farm level, Agricultural Economics, available online 8th January 2019
- Economic Impacts and Land Use Change from Increasing Demand for Forest Products in the European Bioeconomy: A General Equilibrium Based Sensitivity Analysis (2019) Haddad, S., Britz, W., Boerner, J. (2019): Economic Impacts and Land Use Change from Increasing Demand for Forest Products in the European Bioeconomy: A General Equilibrium Based Sensitivity Analysis, Forests, 10(1) 52: 1-27
- Modelling heterogeneous firms and non-tariff measures in free trade agreements using Computable General Equilibrium (2018) Jafari, Y. and Britz, W. (2018: Modelling heterogeneous firms and non-tariff measures in free trade agreements using Computable General Equilibrium, Economic Modelling, available online 23th April 2018
- Policy analysis of perennial energy crop cultivation at the farm level: Short rotation coppice (SRC) in Germany (2018) Spiegel, A., Britz, W., Djanibekov, U., Finger, R. (2018: Policy analysis of perennial energy crop cultivation at the farm level: Short rotation coppice (SRC) in Germany, Biomass and Bioenergy 110, March 2018: 41-56