Browsing by Author "Yusufu Kazibwe"

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    Assessment of Factors Associated With Electronic Waste Disposal in Lugazi Municipal Council, Buikwe District
    (2024-04-02) Yusufu Kazibwe
    Introduction The study was to assess the factors associated with electronic waste disposal in Lugazi Municipal Council. The study specifically sought to assess the knowledge of the community on the effects of poor e-waste disposal, to identify the practices for disposal of e-waste by the community of Lugazi Municipal Council and to explore the extent of awareness and implementation of the existing legislation by Lugazi Municipal Council in the management of electronic waste. Method A descriptive crossectional study design employing both qualitative and quantitative methods was used. A total of 385 respondents were enrolled in the study. Self-administered questionnaires were used to collect quantitative data from the respondents while FGDs and key informant interview guides were used to collect qualitative information from the participants. Quantitative data was analyzed using SPSS version 20 and qualitative data was analyzed using NVIVO. Quantitative data was analyzed at univariate, bivariate and multivariate level. Result. Majority 189 (49.1%) of the respondents were aged between 25-34 years. At bivariate level of analysis, educational level (X2=13.980, df =3, P-value=0.030), knowledge of waste that falls under e-waste (X2=41. X 648, df =4, P-value=0.000), knowledge of the effect of poor e-waste management (X2=450.886, df =3, P-value=0.000,), training on electronic waste management (X2=59.382, df =1, P-value=0.000) and how e-waste is stored in the shop (X2=15.091, df =3, P-value=0.02) was found to significantly influence proper e-waste disposal <0.05 At multivariate level, knowledge of electronic waste (AOR4.8; 95% CI: 1.40-7.39; p= 0.002), Effects of poor electronic waste (AOR=5.8; 95% CI: 1.27-22.42; p= 0.001) and training on electronic waste (AOR=8.8; 95% CI: 1.04-8.68; p= 0.000) were independently associated with proper electronic waste disposal p-value <0.05. Conclusion This study established that only 12% of the respondents properly disposed of e-wastes (i.e disposal after segregation). This study also found out that, knowledge of electronic waste (AOR4.8; 95% CI: 1.40-7.39; p= 0.002). Effects of poor electronic waste (AOR=5.8; 95% CI: 1.27-22.42; p= 0.001). and training on electronic waste (AOR=8.8; 95% CI: 1.04-8.68; p= 0.000) were independently associated with proper electronic waste disposal p-value <0.05 Recommendation From the study findings, there is need for sensitizing electronic dealers on the disposal of electronic waste, by the Municipal Council and the Central Government. There is need for deliberate effort by the ministry of water and environment to disseminate policy guidelines on electronic waste to the population specifically electronic consumers/electronic waste dealers and in order to improve disposal and minimize the effects of poor e-waste disposal, the government should consider putting up e-waste recycling plants so as to reduce the volume of e-waste disposed in the environment.