Assessing the impact of climate change on agriculture is a new challenge for quantitative model-based policy analysis. The impact of climate change will vary strongly across regions depending on pre-existing climatic, agronomic, and political conditions. Most of the present modeling approaches,...

G<Emphasis Type="SmallCaps">lowa-Danube (<ExternalRef> <RefSource>www.glowa-danube.de</RefSource> <RefTarget Address="http://www.glowa-danube.de" TargetType="URL"/> </ExternalRef>) is an interdisciplinary project that aims to develop integrated strategies and tools for water and land use management in the upper Danube catchment (Germany, Austria ∼77,000 km<Superscript>2</Superscript>). The project is one of five within the G<Emphasis Type="SmallCaps">lowa research program (<ExternalRef>...</refsource></externalref></emphasis></superscript></refsource></externalref></emphasis>

This paper describes the Italian and German organic certification systems, including the institutions involved and the definitions of non-compliance and sanctions. Although they are both implementations of the same EU regulatory framework, these systems differ in many respects. Case study data...

This article introduces a special section in Food Policy that discusses organic certification systems. Among the various issues in this field, the three articles in this special section address (i) the determinants of farmers’ decisions regarding whether to utilise organic production practices...

Applying the economics of crime theory, we model the decision of an opportunistic and/or careless organic farmer and derive hypotheses to explain noncompliance. Where empirical data are available, hypotheses are tested. We use data for the years 2007 through 2009 of organic farms certified by...

This paper analyzes the determinants of domestic water use in rural areas. The focus is on households without access to private improved water sources. These households use either only free sources, only purchased sources or a combination of free and purchased sources. We also analyze...

The spatial distribution of organic farming can be explained by combining the traditional location factors that account for spatial heterogeneity with the concept of spatial dependence. We present a theoretical model that explains a farmer's decision to convert to organic farming, and this...

Climatic change is likely to have an influence on arable farms in Central Europe. We use a modelling approach to assess the effects of weather and its long term development due to climate change on short-term decisions like planting and harvesting, as well as yields. Two models are coupled, a...