Process-based simulation of regional agricultural supply functions in Southwestern Germany using farm-level and agent-based models
In combination with crop growth models, farm-level models allow an in-depth, process-based analysis of farmer adaptation to climate change and agricultural policy. Evaluated for all farms in an area and extended by interactions, farm-level models become agent-based models that allow simulating aggregate regional production and structural change. Confined to a local or regional scope, however, they cannot directly incorporate price feedbacks that play out at global scale. In this contribution, we use experimental designs to evaluate a non-connected agent-based model for the full space of potential future price developments. We discuss and compare the use of standard regression analysis and non-parametric, automatic methods (MARS and Kriging) to summarize supply behavior over the simulated price ranges. Estimated supply functions constitute a surrogate model for the original agent-based model and could be used to iterate detailed regional analysis with national or global market models in an efficient way.
|Date of creation:||2015|
|Contact details of provider:|| Web page: http://www.iaae-agecon.org/|
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- John M. Antle & Susan M. Capalbo, 2001.
"Econometric-Process Models for Integrated Assessment of Agricultural Production Systems,"
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- Aurbacher, Joachim & Parker, Phillip S. & Calberto Sánchez, Germán A. & Steinbach, Jennifer & Reinmuth, Evelyn & Ingwersen, Joachim & Dabbert, Stephan, 2013. "Influence of climate change on short term management of field crops – A modelling approach," Agricultural Systems, Elsevier, vol. 119(C), pages 44-57.
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