|edoc-Server der Humboldt-Universität zu Berlin|
Arno Maatman, University of Groningen|
Caspar Schweigman, University of Groningen
Arjan Ruijs, University of Groningen
Maarten H. van der Vlerk, University of Groningen
|Title:||Modeling farmers' response to uncertain rainfall in Burkina Faso – a stochastic programming approach|
|Date of Acceptance:||06.06.2001|
Stochastic Programming E-Print Series |
|Editors:||Julie L. Higle; Werner Römisch; Surrajeet Sen|
Operations research 3 (Vol. 50, 2002)
INFORMS (Linthicum, Md.)
|Metadata export: To export the complete metadata set as Endote or Bibtex format please click to the appropriate link.||Endnote Bibtex|
|Farmers on the Central Plateau of Burkina Faso in West Africa cultivate under precarious con-ditions. Rainfall variability is extremely high in this area, and accounts for much of the uncertainty surrounding the farmers? decision-making process. Strategies to cope with these risk are typically dynamic. Sequential decision making is one of the most important ways to cope with risk due to uncertain rainfall. In this paper, a stochastic programming model is presented to describe farmers? sequential decisions in reaction to rainfall. The model describes farmers? strategies of production, consumption, selling, purchasing and storage from the start of the growing season until one year after the harvest period. This dynamic model better describes farmers? strategies than static mod-els that are usually applied. This study draws important policy conclusions regarding reorientation of research programs and illustrates how operations research techniques can be usefully applied to study grass root problems in developing countries.|
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