- Courses Summer Term 2017
- 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 in the dairy sector in a spatial explicit setting. It combines a detailed mathematical programming model for dairy farms based on a meta-modeling approach with an Agent Based Model (ABM) which covers both farmers and dairies. 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 framwork 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 Krugmann 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. Production for Europe can be depicted at the level of 250 NUTS II regions. 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 3/2017, 125 pages, PDF (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: Saturday, May 13, 2017
- New H2020 research project LIFT, 2018-2022
- Best Paper Award for Böcker, T., Britz, W. and Finger, R. (2017): "Modelling the Effects of a Ban of Glyphosate on Weed Management Strategies in Maize Production" at the GEWISOLA conference 2017
- New H2020 research project SUSTAINBEEF, 2017-2020
- Economic Modeling of Agricultural Systems Group contribution to 2017 EAAE congress
- 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
- Flexible Load of Existing Biogas Plants: A Viable Option to Reduce Environmental Externalities and to Provide Demand-driven Electricity? (2017) Schäfer, D., Britz, W., Kuhn, T. (2017): Flexible Load of Existing Biogas Plants: A Viable Option to Reduce Environmental Externalities and to Provide Demand-driven Electricity? , German Journal of Agricultural Economics 66(2): 109-123
- Climate change impacts on crop yields, land use and environment in response to crop sowing dates and thermal time requirements (2017) Zimmermann, A., Webber, H., Zhao, G., Ewert, F., Kros, H., Wolf, J., Britz, W., de Vries, W. (2017): Climate change impacts on crop yields, land use and environment in response to crop sowing dates and thermal time requirements , Agricultural Systems (online, print version forthcoming
- Reducing unwanted consequences of aggregation in large-scale economic models - A systematic empirical evaluation with the GTAP model (2016) Britz, W., Van der Mensbrugghe, D.(2016):
"Reducing unwanted consequences of aggregation in large-scale economic models - A systematic empirical evaluation with the GTAP model", Economic Modelling2016: 462-473, first published online October 2016
- Simulating the viability of water institutions under volatile rainfall conditions - The case of the Lake Naivasha Basin (2016) Kuhn, A., Britz, W., WillY, D., van Oel, P.(2016):
"Simulating the viability of water institutions under volatile rainfall conditions - The case of the Lake Naivasha Basin", Environmental Modelling and Software 75, p. 373-387