scholarly journals COMMUNITY PARTICIPATION: THE CORNERSTONE FOR THE EFFICIENCY OF INSTITUTIONAL FRAMEWORKS FOR HOUSEHOLD SOLID WASTE MANAGEMENT IN LOW-INCOME RESIDENTIAL AREAS IN NIGERIA

2016 ◽  
Vol 9 (1) ◽  
pp. 19-27 ◽  
Author(s):  
E.B. Tambe ◽  
G.C. Ayongwa ◽  
N.M. Ngwabie ◽  
G.T. Forbid

Municipal solid waste (MSW) characterisation across socioeconomic residents is necessary for planning sustainable solid waste management. In view of planning for Kumba municipality in the South West Region of Cameroon, three types of socioeconomic residents classified as low, medium and high income residential areas were randomly sampled. In each residential area, 32 households were sampled following systematic random sampling. Over a period of eight weeks within three periods characterised with varying activities, statistically designed number of samples for waste composition were hand sorted and weighed at source of generation. The study revealed that the per capita generation of putrescible and miscellaneous wastes (predominantly sand, ash and dust) were statistically different (p < 0.05) across residents and were inversely related to income while the generation of plastics, metals, papers, glass except textiles were statistically different across residents and were positively related to income. Putrescible waste was the most predominant waste category constituting more than 75% across residents. No significant differences were observed for per capita waste generation across residents during the entire period of study and within residents during the different periods over which the waste categories were measured. However, within the different periods, waste generation was significantly different across residents with more waste being produced in low income residents. The waste density was found to decrease with increasing income. The observed variation of waste generation and composition has implications for collection frequency, equipment needs, composting and digestion of the biodegradable for biogas generation to sustain the solid waste management sector.


2021 ◽  
pp. 0734242X2199164
Author(s):  
Phyllis Rumbidzai Kwenda ◽  
Gareth Lagerwall ◽  
Sibel Eker ◽  
Bas Van Ruijven

Among other African cities, in terms of solid waste management (SWM), Harare has been ranked as one of the poorest. The municipality struggles to efficiently provide SWM services to its residents. Considering that SWM systems are complex, the individual behaviour of its components (waste generation, collection, and disposal) determines the overall performance of the system. This mini-review thus aims to understand the management system of the urban city’s biggest source of solid waste which is household solid waste (HSW). The systematic literature review methodology using NVIVO was used to analyse the literature. Out of a selected sample size of 500 journal articles, 26 were selected based on their relevance to the study. The uncertainty of the data provided by the Harare City Council (HCC) and of HSW generation data harvested in the literature was calculated. According to the HCC data records, Harare has an average daily waste generation per capita of on average 0.38±0.1 kg producing about 207, 635, 294±56, 027, 040 kg of HSW generated annually. With the waste collection efficiency in Harare at about 72.4%±7.5%, the city collects approximately 170, 385, 600±33 384 209 kg of HSW annually. All the collected HSW is disposed of in the city’s major MSW dumpsite called Pomona and only about 23, 498, 400±3, 988, 817 kg MSW is recovered annually with the average recovery efficiency at around 9.5%±2.8%, where most of the waste recovery is done by the waste pickers.


2020 ◽  
Vol 5 (2) ◽  
pp. 1-22
Author(s):  
Charo Kenneth Kazungu ◽  
Dr. Johnbosco M Kisimbii

Purpose: The study was therefore done to evaluate the Efficiency of Solid Waste Management Programs in Kenya- specifically Kilifi County, being guided by four specific objectives; How Public-Private Partnership(X1), Community Participation (X2), Budget Allocation (X3) and Government Policy (X4) Influence Effective SWM Programs in Kilifi county.Methodology: Descriptive design with the target population of 1,453,787drawn from Kilifi County where multistage and random sampling techniques gave sample size of 72 subjects. Data was captured using questionnaires. Data analysis was through descriptive statistics and chi square to ascertain effect of the variables using SPSS.Findings: Findings were that all the four variables of the study indeed have effect to SWM programs in Kenya.  X1 Hypothesis test results revealed that the calculated χ2(223.4 = P< .001). While X2 indicated that, the Cχ2 =268.5 = P-value in the asymptotic significance column was 0.00001. X3 revealed Cχ2 =216.9 where P-value was .00001. And X4 established χ2C=201.88 with P Value and P-value was 0.0001. The study rejected all the HO and accepted H1 which established there was relationship between all the study variables and waste management programs. Illustration of R=0.532 represents the simple correlation; therefore, a moderate positive linear relationship among independent variables and effective SWM programs in Kenya existed. R2=0.283 which indicated the total difference the dependent variable is clarified by the independent variables. In this case, the four independent variables explained 28.3% of the variability in effective SWM programs in Kenya and 72.7% variation in sustainable implementation being described by external issues not discussed in this research project. Regression analysis was done model equation; Effective SWM Programs (Y) =3.197+ 0.188 Public-Private Partnership (X1) + 0.213 (Community Participation (X2) + 0.177 (Budget Allocation (X3) + 0.080(Government Policies (X4). The model described that all the elements had a positive influence on the effective SWM programs. This regression equation proved that when all other elements are held constant (no determinants or elements) effective SWM programs would be 3.197. The study concluded, public-private partnership and availability and proper management of budget allocation as key determinants of effectiveness of the SWM programs.Unique contribution to theory, policy and practice: It also uncovered that community participation greatly weighs in on the performance of SWM programs thus improved greatly efficiency and effectiveness of the programs. Lastly, proper government policies must be imposed to ensure legal policy and regulatory frameworks to ensure proper governance of SWM programs and sustainability. Future research required in all Counties across the Country. This will bring relevant information that could be useful for policy framework that   focuses on to promoting effectiveness of the SWM in Kenya.


2020 ◽  
Vol 2020 ◽  
pp. 1-10 ◽  
Author(s):  
Charles Ssemugabo ◽  
Solomon Tsebeni Wafula ◽  
Grace Biyinzika Lubega ◽  
Rawlance Ndejjo ◽  
Jimmy Osuret ◽  
...  

Background. Only a third of the total waste generated in slum communities in Kampala is collected and disposed of to the landfill every month. This study assessed the status of household solid waste management and associated factors in a slum community in Kampala, Uganda. Methods. We conducted a community-based cross-sectional study involving 395 households using a semistructured questionnaire and an observational checklist. Proper solid waste management was determined based on possession of waste collection and storage receptacle; collection receptacle ability to minimise nuisances (covered); segregation of waste; presence of flies and other vectors; and collection receptacle fill status. Prevalence rate ratios and their 95% confidence intervals were used as a measure of association. Results. Only, 41.3% (163/395) of the households exhibited proper waste management practices. The majority of the households 85.8% (339/395) owned solid waste storage receptacles, most of which were sacs 61.7% (209/339) and would minimise nuisances 72.9% (245/339). The main type of waste collected was biodegradable materials 56.7% (224/395). The majority of the households 78.7% (311/395) did not segregate their waste. Solid waste was mainly transported to the collection point by pulling the collecting sac 54.4% (215/395). The city authority 73.9% (292/395) and private companies 12.9% (51/395) were the major entities collecting waste. Factors associated with proper waste management were collecting waste in plastic containers (adjusted PR = 1.27, 95% CI (1.04–1.55)), polythene bags (adjusted PR = 0.26, 95% CI (0.14–0.47)), and paper bags or metallic bins (adjusted PR = 0.13, 95% CI (0.03–0.44)) as well as awareness of solid waste management laws (adjusted PR = 1.49, 95% CI (1.20–1.85)) and the dangers of improper solid waste management (adjusted PR = 2.15, 95% CI (1.51–3.06)). Conclusion. Solid waste management was generally poor. As such, a cascade of interventions that address knowledge, physical, and behavioural aspects of solid waste management is required to improve its management in slum communities.


2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Mohamad Noufal ◽  
Liu Yuanyuan ◽  
Zena Maalla ◽  
Sylvia Adipah

The absence of accurate information on the state of waste is a challenge to the solid waste management system in Syria. The local authorities commonly estimate the quantity of waste produced and its characterisation, which is the starting point for solid waste management planning. So, this paper aims to evaluate the generation and composition of household solid waste in Homs city, Syria. Also, the study presents factors influencing the waste generation rate and the waste composition. The study was carried out in 300 families from four zones in Homs city, and three sampling stages were conducted during the study duration, which started in July 2017 and ended in February 2019. The outcomes show that an average of 0.68 kg/per/day solid waste generated was calculated for the entire study area in Homs city. Also, the data analysis presents that organic waste constitutes the largest component in the waste mixture (69.1%) followed by plastic (10.6%), inert materials (8.7%), paper (4.6%), textile (2.5%), metal (1.2%), glass (1.1%), wood (0.6%), and hazardous materials (1.6%). The multiple linear regression results showed that the adjusted R2 value was found to be 0.557, 0.839, and 0.709 for the waste generation per capita, the daily household organic waste generation, and the daily household packaging waste generation, respectively. Also, according to Pearson’s coefficient values, a positive correlation was found between household waste generation and monthly income (r = 0.626), household size (r = 0.37), and age of the household head (r = 0.517), whereas a negative correlation was found between household waste generation and the education level of the household head (r = −0.649).


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