A linear programming analysis of irrigated agriculture on the island of Santiago, Republic of Cape Verde

Persistent Link:
http://hdl.handle.net/10150/277065
Title:
A linear programming analysis of irrigated agriculture on the island of Santiago, Republic of Cape Verde
Author:
Sellen, Daniel Marc, 1959-
Issue Date:
1989
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
Agriculture in Cape Verde is severely constrained by a harsh physical environment, and large amounts of foreign aid are required to meet demand for food. Policy-makers believe that the development of irrigated farming offers the most potential for increasing food production, requiring a transition from the dominant irrigated crop, sugar cane, to food crops. Linear programming techniques are used to model a representative farm on the island of Santiago. Water constraints are varied parametrically, showing that revenues are extremely sensitive to frequency of irrigation, and that the dominance of low-profit crops is explained by unreliable and long watering intervals. The shift from cane to more profitable food crops will therefore require water reform aimed at increasing irrigation frequency and improving its reliability. Significant improvements in food production and farm incomes can be achieved even considering present supplies of water and land.
Type:
text; Thesis-Reproduction (electronic)
Keywords:
Agriculture -- Cape Verde -- São Tiago Island -- Linear programming.; Irrigation -- Cape Verde -- São Tiago Island.
Degree Name:
M.S.
Degree Level:
masters
Degree Program:
Graduate College; Agricultural Economics
Degree Grantor:
University of Arizona
Advisor:
Thompson, Gary D.

Full metadata record

DC FieldValue Language
dc.language.isoen_USen_US
dc.titleA linear programming analysis of irrigated agriculture on the island of Santiago, Republic of Cape Verdeen_US
dc.creatorSellen, Daniel Marc, 1959-en_US
dc.contributor.authorSellen, Daniel Marc, 1959-en_US
dc.date.issued1989en_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractAgriculture in Cape Verde is severely constrained by a harsh physical environment, and large amounts of foreign aid are required to meet demand for food. Policy-makers believe that the development of irrigated farming offers the most potential for increasing food production, requiring a transition from the dominant irrigated crop, sugar cane, to food crops. Linear programming techniques are used to model a representative farm on the island of Santiago. Water constraints are varied parametrically, showing that revenues are extremely sensitive to frequency of irrigation, and that the dominance of low-profit crops is explained by unreliable and long watering intervals. The shift from cane to more profitable food crops will therefore require water reform aimed at increasing irrigation frequency and improving its reliability. Significant improvements in food production and farm incomes can be achieved even considering present supplies of water and land.en_US
dc.typetexten_US
dc.typeThesis-Reproduction (electronic)en_US
dc.subjectAgriculture -- Cape Verde -- São Tiago Island -- Linear programming.en_US
dc.subjectIrrigation -- Cape Verde -- São Tiago Island.en_US
thesis.degree.nameM.S.en_US
thesis.degree.levelmastersen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.disciplineAgricultural Economicsen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.advisorThompson, Gary D.en_US
dc.identifier.proquest1337488en_US
dc.identifier.oclc23217313en_US
dc.identifier.bibrecord.b17596427en_US
All Items in UA Campus Repository are protected by copyright, with all rights reserved, unless otherwise indicated.