Replaced with revised version of paper 5/26/11.

In agriculture, long-term decisions are usually made in an environment which is almost completely dynamic. For example, uncertainty arises from weather and climatic conditions. (Dis)investment in irrigation technology on farms has become more prominent over the past decade. The use of irrigation...

Investment decisions are not only characterised by irreversibility and uncertainty but also by flexibility with regard to the timing of the investment. This paper describes how stochastic simulation can be successfully integrated into a backward recursive programming approach in the context of...

On the example of a commercial microfinance institution (MFI) in Tanzania this paper investigates first whether agricultural firms have a different probability to get a loan and whether their loans are differently volume rationed than loans to non-agricultural firms. Second, we analyze whether...

The agricultural sectors of Kazakhstan and Germany are at different development levels. One possible explanation for this might be the different investment behavior of farmers. We experimentally analyze whether the investment behavior of farmers is consistent with the normative benchmarks of the...

Replaced with revised version of paper 06/17/08.

Replaced with revised version of paper 06/17/08.

Optimization has been recognized as a powerful tool in teaching and research for a long time. In spite of its well known problem solving capacity, some methodological obstacles have persisted over the years. The main problem is that stochastic variables and their correlations cannot be...

Investment decisions are, as a rule, characterized by uncertainty, irreversibility and flexibility. Simple net present value calculations will not account for these features. In many situations even flexible investment planning with decision trees, which represents the most advanced method of...