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Title: An economic evaluation of the impact of the privatisation policy on animal health delivery services in africa : a case study of Zimbabwe
Author: Odeyemi, Isaac A. O.
ISNI:       0000 0004 2671 3527
Awarding Body: University of Edinburgh
Current Institution: University of Edinburgh
Date of Award: 1999
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In many countries in Africa, the delivery of animal health services, especially in rural areas, is far from adequate. These services therefore need restructuring. An analysis of these systems indicates that the development of an appropriate analytical framework for evaluating them would prove to be extremely valuable. Such a framework should be able to identify, qualify and quantify, the various segments of the population, their spatial distribution, and specific health care needs, as well as permit the prediction and evaluation of the socio-economic impact of policies and interventions on the delivery system. In order to develop such a framework, a project was undertaken using the concept of Precision Service Delivery (PSD), with the objective of developing a robust analytical framework which is universally applicable to all health care delivery systems. PSD is aimed at adjusting and "fine-tuning" the delivery of services, so as to meet the specific health care needs of the different segments of the population, in the context of their geographical location. The animal health care delivery system in Zimbabwe was used as a case study. The PSD framework was used in this study, to analyse the economic and social impact of different scenarios of the current privatisation oriented policy reforms. This involved the use of statistical techniques, a geo-spatial modelling technique and Linear Programming mathematical models. A questionnaire survey of 145 livestock producers was conducted with representation from all four livestock production systems in Zimbabwe. The objective was to evaluate the socio-economic and health care variables that characterise the production systems. From fourteen putative variables identified, eight were extracted using Principal Component Analysis, as a bases for characterising the existing livestock production systems. Using Multiple Discriminant Analysis, the validity of the different production systems as distinct classes was confirmed.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available