Spatially-explicit simulation models are commonly used to study complex ecological and socio-economic research questions. Often these models depend on detailed input data, such as initial land-cover maps to set up model simulations. Here we present the landscape generator EFFortS-LGraf that...

In den letzten Jahrzehnten unterlagen tropische Landschaften einem drastischen Wandel der Landnutzung. Die Transformation der natürlichen Vegetation, hin zu landwirtschaftlichen Produktionssystemen bedeutet negative Auswirkungen auf Ökosystemfunktionen, erhöht aber das Potenzial für...

The Common Agricultural Policy of the European Union (CAP) has a long tradition. After World War II, agricultural and food production in Europe was substantially weakened and unable to provide sufficient food for the domestic population. The CAP emerged from this situation, with the objectives...

In Indonesia the agricultural sector plays a key role for broad based economic development in rural areas. Rubber is one of the most important crops, and Indonesia is the second largest producer in the world. However, a high level of concentration in the processing industry limits the spread of...

EFForTS is a collaborative research center (CRC) which focuses on Ecological and socioeconomic Functions of Tropical Lowland Rainforest Transformation Systems in Sumatra,Indonesia. The paper presents the common sampling frame of the socio economic sub-projects.The investigations and data...

Diese Dissertation beschreibt Marktverzerrungen auf mehreren Ebenen, die entweder aufgrund von Fehlfunktionen oder durch Interventionen politischer Art entstehen. Die Fehlfunktionen schließen einerseits Märkte mit imperfektem Wettbewerb, und andererseits Versagen auf anderweitig vollkommenen...

While traders of agricultural products are known to often exercise market power, this power has rarely been quantified for developing countries. In order to derive a measure, we estimate the trad-ers’ revenue functions and calculate the Marginal Value Products directly from them. We...