Accurate targeting is key for the success of any development policy. While a number of factors might explain low targeting efficiency such as governance failure, political interference or lack of political will, this paper focuses on improving indicator-based models that identify poor households...

The recent international financial crisis and the steady decrease in development assistance have put many poor countries under increasing pressure to target more accurately their public spendings at the poor and the population in need. However, further progress is hampered by the lack of...

This paper assesses the cost efficiency of indicator-based targeting. Using household survey data from Malawi, we examine whether an indicator-based targeting of the poor is more target- and cost-efficient than the currently used mechanisms for targeting agricultural subsidy programs in the...

The volatility of agricultural markets has increased remarkably in recent years. In spite of this, the way in which supply chain actors perceive market volatility has only rarely been analyzed. This paper seeks to close this research gap by presenting empirical findings about how the volatility...

mainly due to a widespread discontent with the industrialization of agricultural production and food processing and growing public pressure on agribusiness firms to implement more sustainable management practices. In this paper we present the results of an explorative empirical study of...

The volatility of agricultural markets has increased remarkably in recent years. In spite of this, the way in which supply chain actors perceive market volatility has only rarely been analyzed. This paper seeks to close this research gap by presenting empirical findings about how the volatility...

This paper develops low cost, reasonably accurate, and simple models for improving the targeting efficiency of development policies in Malawi. Using a stepwise logistic regression (weighted) along with other techniques applied in credit scoring, the research identifies a set of easily observable...

Due to global climate change and its impact on local weather conditions, decision support systems are becoming more important in agriculture. Such systems allow farmers to adapt more effectively to the complex changes affecting their farms. Marginal production sites must apply new tillage...

Due to global climate change and its impact on local weather conditions, decision support systems are becoming more important in agriculture. Such systems allow farmers to adapt more effectively to the complex changes affecting their farms. Marginal production sites must apply new tillage...

tion from agricultural sources. However, many other EU member states are creating the necessary conditions for rapid growth in this area. The German Renewable Energy Sources Act (EEG), which sets payments over a long time period for electricity supplied from renewa-ble sources, often serves as a...