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Title:An Analysis of Resource Use in a Maize-Legume Farming System in Kilosa District: Tanzania
Author(s):Manday, Emmanuel Agapitus
Department / Program:Agricultural Economics
Discipline:Agricultural Economics
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Economics, Agricultural
Abstract:The study examined the pattern of resource-use and optimum enterprise combination using linear programming.
Chapter I discusses the pattern of post-independence agricultural growth in Tanzania. The pattern shows that the country does not produce enough to feed itself. The chapter ends by the hypothesis that the study area suffers from problems of food shortage.
In Chapter II details of the farming pattern in the district are discussed. It ends by a brief discussion of the markets, prices, credit availability and opportunities for off-farm employment in the district.
Chapter III discusses the relationship between optimization theory and linear programming. It also reviews the use of LP in analysing (1) farm business problems, (2) resource allocation problems in traditional agriculture and (3) the use of representative farms in such studies.
Chapter IV specifies the LP model. It defines the objective, the production activities, selling activities and the household food requirements. After defining these, the constraints are then defined. The former are specified in the matrix using input-output coefficients and the latter as the values of the Right Hand Sides (RHSs). The LP model analyses the problem under two technologies. These are defined as traditional and improved.
Chapter V, discusses the results under two average farm sizes. These were the 2.34 acres and 4.6 acres. In summary, the improved technology generated twice as much income compared to the traditional technology. In both cases these were in addition to meeting household food requirements.
Chapter VI presents a summary and the main conclusions from the study. The main conclusions were that: (a) the traditional and the improved models as defined in the study led to higher gross returns than reported in the survey; (b) the arable land was a constraint in all models; (c) labor was scarce during the peak season, i.e., January to March; capital was scarce during the peak months of February to May; and (d) the improved technology was more efficient in resource use compared to the observed technology currently under use.
Issue Date:1982
Type:Text
Description:135 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1982.
URI:http://hdl.handle.net/2142/69851
Other Identifier(s):(UMI)AAI8302927
Date Available in IDEALS:2014-12-15
Date Deposited:1982


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