edoc-Server der Humboldt-Universität zu Berlin

SPEPS Preprint

Author(s): 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
Submission Date: 29.05.2001
Series Title: Stochastic Programming E-Print Series
(SPEPS)
Editors: Julie L. Higle; Werner Römisch; Surrajeet Sen
Appeared in: 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  

Abstract (eng):
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.
Access Statistics: These data concerning access statistics for individual documents have been compiled using the webserver log files aggregated by AWSTATS. They refer to a monthly access count to the full text documents as well as to the entry page.
 
As for format versions of a document which consist of multiple files (such as HTML) the highest monthly access number to one of the files (chapters) is shown respectivly.
 
To see the detailled access numbers please move the mouse pointer over the single bars of the digaram.
Startseite: 4 Zugriffe PDF: 17 Zugriffe Startseite: 1 Zugriffe PDF: 15 Zugriffe Startseite: 2 Zugriffe PDF: 27 Zugriffe Startseite: 3 Zugriffe PDF: 24 Zugriffe Startseite: 2 Zugriffe PDF: 24 Zugriffe Startseite: 2 Zugriffe PDF: 32 Zugriffe Startseite: 5 Zugriffe PDF: 32 Zugriffe PDF: 27 Zugriffe Startseite: 2 Zugriffe PDF: 13 Zugriffe PDF: 15 Zugriffe Startseite: 2 Zugriffe PDF: 20 Zugriffe PDF: 29 Zugriffe Startseite: 4 Zugriffe PDF: 28 Zugriffe Startseite: 4 Zugriffe PDF: 14 Zugriffe Startseite: 3 Zugriffe PDF: 20 Zugriffe PDF: 34 Zugriffe Startseite: 13 Zugriffe PDF: 20 Zugriffe
Jan
16
Feb
16
Mar
16
Apr
16
May
16
Jun
16
Jul
16
Aug
16
Sep
16
Oct
16
Nov
16
Dec
16
Jan
17
Feb
17
Mar
17
Apr
17
May
17
Monat Jan
16
Feb
16
Mar
16
Apr
16
May
16
Jun
16
Jul
16
Aug
16
Sep
16
Oct
16
Nov
16
Dec
16
Jan
17
Feb
17
Mar
17
Apr
17
May
17
Startseite 4 1 2 3 2 2 5   2   2   4 4 3   13
PDF 17 15 27 24 24 32 32 27 13 15 20 29 28 14 20 34 20

Gesamtzahl der Zugriffe seit Jan 2016:

  • Startseite – 47 (2.76 pro Monat)
  • PDF – 391 (23 pro Monat)
 
 
Generated at 24.06.2017, 01:06:02