Linking Farm and Market Models to Analyse the Effects of the EU Nitrate Directive for the Dutch Agricultural Sector

This paper presents a modeling system that can be used to analyze the trade off between economy and environment. It takes into account manure policy, farm structure and manure surpluses at farm level as well as the economic effects of manure surpluses at market level. The modeling system consists of two models that are linked to each other by at the one-hand manure prices and distribution of manure over different destinations and at the other hand changes in agricultural and total manure production. One model is the so-called Manure and Ammonia Model (MAM). This model calculates manure surpluses and deficits at the farm level and distribution of manure to own farm, own region, other regions, export abroad and processing at the regional level. Moreover, MAM also calculates ammonia emissions coming from different sources. The second model is a market model that includes the most important agricultural markets. The models are calibrated for 2002. The modeling system is tested to analyze the effects of sharpened manure policies until 2006.farm models, market models, manure, economy, policy, Agricultural and Food Policy,

Linking Farm and Market Models to Analyse the Effects of the EU Nitrate Directive for the Dutch Agricultural Sector

This paper presents a modeling system that can be used to analyze the trade off between economy and environment. It takes into account manure policy, farm structure and manure surpluses at farm level as well as the economic effects of manure surpluses at market level. The modeling system consists of two models that are linked to each other by at the one-hand manure prices and distribution of manure over different destinations and at the other hand changes in agricultural and total manure production. One model is the so-called Manure and Ammonia Model (MAM). This model calculates manure surpluses and deficits at the farm level and distribution of manure to own farm, own region, other regions, export abroad and processing at the regional level. Moreover, MAM also calculates ammonia emissions coming from different sources. The second model is a market model that includes the most important agricultural markets. The models are calibrated for 2002. The modeling system is tested to analyze the effects of sharpened manure policies until 2006

Micro-simulation as a tool to assess policy concerning non-point source pollution: the case of ammonia in Dutch agriculture

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 assessing non-point source pollution, while using the best available data to track corresponding pollution. Examples are provided that illustrate the strengths of the modeling framework for both pollution monitoring and environmental policy scenario analyses

Micro-simulation as a tool to assess policy concerning non-point source pollution: the case of ammonia in Dutch agriculture

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 assessing non-point source pollution, while using the best available data to track corresponding pollution. Examples are provided that illustrate the strengths of the modeling framework for both pollution monitoring and environmental policy scenario analyses.micro-simulation, spatial equilibrium model, non-point source pollution, Environmental Economics and Policy, Research Methods/ Statistical Methods,