Influence of community based organizations’ activities on sustainable livelihoods in “selected” urban poor settlements in Nairobi county, Kenya
This research project was to investigate the influence of Community Based Organizations‟ activities on sustainable livelihoods in “selected” urban poor settlements in Nairobi County. It explores the livelihood theories and concepts employed in social development in both rural and urban set up in the world over and their implication to the situation of the urban poor. Development agencies have fronted community based organization (CBO) as an effective tool for development. CBOs which bring about community ownership of the process and structures of social change in urban poor settlements have been in the forefront championing their own development thus influencing their livelihood situation. This study sought to establish the relationship between the dependent variable sustainable livelihoods in selected urban poor settlements in Nairobi County and the independent variables CBO activities. The objectives were to investigate the influence of CBO activities: Resource mobilization, Service delivery, popular participation, and Socio-economic activities on sustainable livelihoods in selected urban poor settlements in Nairobi County. The research used descriptive survey design with a mixed approach that explores the independent variables. The study targeted 24 CBOs in 7 urban poor settlements with a target population of 1744 members where community organization has been practiced. A sample of 174 respondents was picked using stratified random sampling method. Data collection instruments used was questionnaires. Review of literature revealed that studies done in the past described to some extent the independent variables CBOs but did not go further to show the relationship between the independent variable CBO activities and the dependent variable sustainable livelihoods. Literature review did not reveal any study that has been carried out in Nairobi County. Data analysis was by descriptive statistics such as mean, percentages and standard deviation while the inferential analysis was by use of correlation and regression analysis in order to predict the influence of each variable to the sustainable livelihoods using SPSS 22.0. The findings revealed that the four independent variables have a positively skewed distribution and a positive slope meaning one unit increase in one variable leads to increase in the others and a linear positive correlation with each other and with the dependent variable sustainable livelihoods. The regression analysis found that the four independent variables contribution to the model of fit was significant with resource mobilization, service delivery, popular participation and socioeconomic activities contributing 0.128, 0.313, 0.171 and 0.330 respectively per unit change to the sustainable livelihoods model and explained almost 95% of the sustainable livelihoods of the urban poor. Controlling the four variables at 0, sustainable livelihood will be 0.195. Service delivery contributes more to the model and is cross cutting and improvement in CBO service delivery combined with socioeconomic activities; sustainable livelihoods will increase by 0.838. The researcher recommendation is for governments and development agencies to engage CBOs as a resource and a tool for change to realize vision 2030 and the sustainable development goals. There is also need for further research in the influence of CBO activities in sustainable livelihoods in other areas.