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Impact of Russia and Ukraine on the international price formation and the EU markets - A Model based analysis AgEcon
Banse, Martin; Salamon, Petra; Ledebur, Oliver von; van Leeuwen, Myrna; Bouma, Foppe; Salputra, Guna; Fellmann, Thomas; Nekhay, Olexandr.
This paper examines the effect of the future developments of Russian and Ukrainian agricultural sectors and their impact on the world market prices for arable crops. Employed in the study is AGMEMOD, a partial equilibrium economic model of EU agriculture at the Member State level that has been extended by Russia and Ukraine to gain quantitative insights. Vital for the project has also been the integration of an endogenous world market price module including a stylized Rest of the World (ROW) model. In Russia and Ukraine, there is a strong focus on plant production in general and on grain based animal production; Russia and Ukraine are mostly net-exports of those products. Under the baseline, in Russia prices for crops and oilseeds are below the world...
Tipo: Presentation Palavras-chave: Partial equilibrium model; Price formation; Russia; Ukraine; Agricultural and Food Policy; Risk and Uncertainty.
Ano: 2012 URL: http://purl.umn.edu/122536
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How to deal with the challenges of linking a large number of individual national models: the case of the AGMEMOD Partnership AgEcon
Salamon, Petra; Chantreuil, Frederic; Donnellan, Trevor; Erjavec, Emil; Esposti, Roberto; Hanrahan, Kevin F.; van Leeuwen, Myrna; Bouma, Foppe; Dol, Wietse; Salputra, Guna.
The AGMEMOD Partnership seeks to capture the inherent existing heterogeneity of agricultural systems by linking together individual EU Member State models, an aggregated EU model and several accession countries into one single model, while still maintaining analytical consistency. Although this approach facilitates the comparison of the impact of a policy change across different Member States, it generates challenges in practical implementation, ranging from significant communication and administration requirements, to aggregation and consistency issues. This contribution provides insights into the different challenges posed to the scientists and discusses the key issues for maintenance and further development of such a complex system. Specific attention...
Tipo: Journal Article Palavras-chave: Linking models; Policy analysis; Partial equilibrium modelling; Common Agricultural Policy (CAP); Agricultural and Food Policy; Research Methods/ Statistical Methods.
Ano: 2008 URL: http://purl.umn.edu/97709
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Micro-simulation as a tool to assess policy concerning non-point source pollution: the case of ammonia in Dutch agriculture AgEcon
Kruseman, Gideon; Blokland, Pieter-Willem; Bouma, Foppe; Luesink, Harry H.; Mokveld, Lennard J.; Vrolijk, Hans C.J..
Non-point source pollution is notoriously difficult to assess. A relevant example is ammonia emissions in the Netherlands. Since the mid 1980s the Dutch government has sought to reduce emissions through a wide variety of measures, the effect of which in turn is monitored using modeling techniques. This paper presents the current generation of mineral emission models from agriculture based on micro-simulation of farms in combination with a spatial equilibrium model for the dispersion of manure from excess regions with high livestock intensities within the country to areas with low livestock intensities. The micro-simulation approach retains the richness in the heterogeneity of farm household decision making that are the core cause of the difficulty of...
Tipo: Conference Paper or Presentation Palavras-chave: Micro-simulation; Spatial equilibrium model; Non-point source pollution; Environmental Economics and Policy; Research Methods/ Statistical Methods.
Ano: 2008 URL: http://purl.umn.edu/6661
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MICROWAVE: A GENERIC FRAMEWORK FOR MICRO SIMULATIONBASED EX ANTE POLICY EVALUATION AgEcon
Wolfert, Jacques; Lepoutre, Jan; Dol, Wietse; Van Passel, Steven; van der Veen, Hennie B.; Bouma, Foppe.
This paper presents the MicroWave approach that has been developed to improve the process of modeling in the context of micro simulation. It leads to a more efficient model development, better quality of models and their output and improvement in knowledge management. A conceptual framework has been developed and translated into a hierarchical structure of GAMS program code. Besides, several software applications and other tools have been developed for support. These products are presented and some examples illustrate how MicroWave can be applied. MicroWave is especially useful in interdisciplinary research in which different persons are involved in the modeling process and when different models have to be combined.
Tipo: Working or Discussion Paper Palavras-chave: Research Methods/ Statistical Methods.
Ano: 2005 URL: http://purl.umn.edu/29143
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