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dc.contributor.authorOkumu, Atieno A
dc.date.accessioned2013-05-08T14:11:38Z
dc.date.available2013-05-08T14:11:38Z
dc.date.issued1992
dc.identifier.citationDegree of Master of Arts (M .A) in Urban Geography.en
dc.identifier.urihttp://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/20388
dc.description.abstractThe study aims at finding out factors which determine women's participation in income-generating activities, the amount of income women gain in a month and problems which face women participating in income-generating activities. From these objectives, four hypotheses have been proposed, namely; there is no significant relationship between types of income-generating activities and age; and there is no significant relationship between income generating activities and marital status and level of education, mean aqe of children and family size , do not determine the amount of income gain in a month are tested. Two statistical analyses methods have been used to test the hypotheses of the study namely the Chi-square test and Multiple Linear Regression analysis. From the results of the Chi-square tests, it was established that whereas years of formal schooling and age determined participation in specific income generating activities to a large extent, marital status did not determine participation in income-generating activities significantly. These conclusions are arrived at because the Chi-square values in the first two tests are large and deviate significantly from the tabulated or hypothetical values. In the third instance, apart from being less than the hypothetical value the difference is insignificant. From the result of Multiple Linear Regression Analysis it is concluded that the amount of income gained in a month by women was affected by years of formal schooling, mean age of children and family size. This conclusion is arrived at because the calculated F-value is far much greater than the critical one. It is important to stress, however, that whereas the first two variables had a positive impact on income gained the last one had a negative impact. This is because the partial correlation coefficient of this variable is negative. It is important to note non statistical techniques of analysis are also used in this Thesis. These are descriptions, percentages , maps, and diagrams among others. It is from these analyses that the conclusions arrived at in this thesis have been derived. The problems facing women participating in income-generating activities are numerous. However, the one which was cited by most participants was frequent demolitions by the Nairobi City Commission (NCC) security personnel. From the above conclusions, therefore, it was recommended that since education was a variable which determined participation in income-generating activities, amount of income gained in a month and was the root cause of most of the problems experienced by women participating in income-generating activities, the Government of Kenya (GOK) should make the field of women's education a priority. Programmes for educating women in order to acquire knowledge and skills which are necessary for effective participation in income-generating activities should be expanded. Further, women should be encouraged to use family planning facilities in hospitals. More day care facilities for children should also be constructed within urban areas. Not to mention that women should use appropriate technology devices which eases housework and leave them with plenty of time to put in their income-generating activities. Further, the study recommends to future researchers in the field of income generating activities that they only concentrate on one type of activity for detailed analyses other than making general consideration o all of themen
dc.language.isoenen
dc.publisherUniversity of Nairobien
dc.titleParticipation of women in income-generating activities: a case study of Dandora, Nairobi, Kenya


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