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Commercially Funded Projects And Economic Growth In Rwanda: A Case Study Of Poultry Farming In Muhanga District

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Date
2013
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Mount Kenya University
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Kimani, N. M. (2013). Commercially Funded Projects And Economic Growth  In Rwanda: A Case Study Of Poultry Farming In Muhanga District. Mount Kenya University. http://erepository.mku.ac.ke/handle/123456789/4010
Abstract
The study’s aim was to assess the role of commercially funded project in economic growth and development. Specifically the study intended to establish the impact of the commercially funded project on poverty index, employment level, income level and the production level. Most projects especially commercially funded are aimed at reducing poverty, increasing employment level, increasing level of income and increasing production level. However the extent to which these factors are affected is exactly not known. The researcher concentrated on Muhanga District where there are 257 poultry farmers who are commercially funded. The researcher used questionnaires to collect the primary data. Secondary data was collected using documentary analysis regarding the funding of the project. Simple random sampling was employed where the researcher concentrate on eighty (80) farmers constituting around 30 percent of the population. The questionnaires were distributed to eighty farmers but only seventy two were returned duly completed. This represented a response rate of ninety (90) percent. The demographic information showed that most of the poultry farmers were males representing around fifty six (56%). Most of the farmers were above thirty five (35) years of age. This represented slightly above sixty eight (68%) percent. The analysed data further showed that the funding range from forty five (45%) percent to fifty five (55%) with forty five (45%) of the farmers receiving the funding. Further it is clear that the farming has enhanced income levels, employment levels besides the production levels. It is also evident that the commercial funding is directly related to the income levels of the farms. The analysed data was presented in graphs, bar charts, pie charts and simple table that show the distribution of the responses where possible.
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Poultry production
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