Assessment Of Practices, Challenges And Prospects Of In-House Solid Waste Management In Addis Ababa; The Case Of Yeka Subcity

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Addis Ababa University


The rapid growth of urbanization causes enormous pressure on the environment. The main aim of this study was to assess the challenges and prospects regarding in-house solid waste management in Yeka Sub-City, Addis Ababa, Ethiopia. A total 130 respondents, 10 interviewees and field observations were used in the study. In order to accomplish the objectives, both primary and secondary sources of data were used. The primary data were collected through questionnaires, interviews and field observations. Whereas the secondary data were extracted from different published and unpublished materials. The analysis of this paper was carried out using both qualitative and quantitative techniques. There was very poor and inadequate solid waste management in general and waste handling in particular in the sub-city. Thus the municipality of the sub-city could not be able to provide adequate solid waste management practices. The findings of this study revealed that higher income group’s households showed better solid waste management than lower income groups. The level of education of households showed a positive correlation with solid waste management. Location and distance of community waste containers had also direct impact on solid waste management in which the further the location of the storage the lower the level of waste management. The municipality of the town was not able to provide adequate solid waste management service because of the factors related to financial constraints, very poor institutional coordination, weak enforcement of rules and regulations, socio-cultural factors and lack of awareness among the community. Thus it was recommended that to increase awareness of the community, responsible bodies (Government, Community and Health Bureu) should pay attention to the issue in order to improve the current poor solid waste management practices in the town



rapid growth, data, financial constraints