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Factors influencing the demand of low cost housing technologies in Kenya

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dc.contributor.author Newa, Fred
dc.date.accessioned 2019-07-29T09:45:22Z
dc.date.available 2019-07-29T09:45:22Z
dc.date.issued 2000
dc.identifier.uri http://erepo.usiu.ac.ke/11732/4671
dc.description A Research Project Report Submitted to the School of Business in Partial Fulfillment of the Requirement for the Degree of Masters in Business Administration (MBA) en_US
dc.description.abstract The objective of this study is to establish the factors affecting or influencing the demand of Low Cost Housing Technology (LCHT) in Kenya. The study also seeks to establish the degree of influence and rank the factors determining the demand of LCHT. This study was necessitated by the fact that, although "a basic economic hypothesis is that the lower the price of a commodity, the larger the quantity demanded, other things being equal"(Lipsey 85), the use or adoption of LCHT has not picked up as expected and is well below the other building technologies and materials. (GTZ\HABRI 1996). To achieve the objectives of the study, a sample of 50 owners of buildings who must have been involved in the design and construction of their buildings from selected estates in Nairobi was selected. Primary data was collected by both observation and by the use of a questionnaire. The variables investigated included price, taste, advertisement, household income, price of complementary products, price of substitute products, quality of product, cost of credit, number of outlets, future price expectations and changes in legislation. Data was analyzed using simple linear regression and multiple regression analysis. The coefficient of the multiple determinants R2, was used to determine the proportion of the variation the independent variables have on the dependable variable. The F distribution was used to test the overall significance of the regression model while the correlation coefficients were used to determine the presence of multi-collinearity. T-test and the p-value were used to test the significance of individual coefficients. Stepwise selection procedure is used to further confirm the significance of the coefficients. Goodness of fit is also further confirmed using residual scatter plots, residual probability plots and the plot of the regression model stepwise formulation procedure and correlation analysis. The simple linear regression analysis revealed the following: 1. Price, taste, advertisement, quality, cost of credit, number of outlets and future price expectations influence the demand of LCHT. 2. Taste is the most significant factor that influence the demand of LCHT The multiple regression analysis revealed the following: 1. Price, taste, and quality influence the demand of LCHT. 2. Taste is the most significant factor that influence the demand of LCHT. The Conclusions reached were that: Factors that influence the demand of LCHT that are confirmed both by the simple linear regression analysis and the multiple regression analysis are impact of price on consumers, taste, and quality of LCHT. It can therefore be concluded from this study that impact of price on consumers, taste, and quality of LCHT influence demand of LCHT. The study made recommendations for further improvement of the price of LCHT, improvement of the quality of LCHT and enhancement of the image and acceptance of LCHT. en_US
dc.publisher United States International University - Africa en_US
dc.subject low cost housing technologies, Kenya en_US
dc.title Factors influencing the demand of low cost housing technologies in Kenya en_US
dc.type Thesis en_US


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