Factors Influencing Household Participation in Solid Waste Management: A Case of Muhanga City, Rwanda


Authors : Richardford Kpehe

Volume/Issue : Volume 8 - 2023, Issue 3 - March

Google Scholar : https://bit.ly/3TmGbDi

Scribd : https://bit.ly/3nUkzCJ

DOI : https://doi.org/10.5281/zenodo.7809277

Abstract : The goal of this research was to assess factors influencing participation of households in solid waste management in Muhanga city of southern province, Rwanda; more specifically, the research had the following specific objectives were to analyze factors influencing household participation in solid waste management in Muhanga City, to examine the solid waste management at household level in Muhanga city and to establish whether there is a significant effect of household participation in solid waste management in Muhanga city. The ANOVA tables proved better understandings of how the regression equation predicts the behaviors of the dependent against independent variables, and the model equation proved that the data are fit in the equation. The regression models predicted that the dependent variable was strongly significant as the data sample we have is fit. In the "sig." column, we find that the value of P is less than 0.005 that is P<0.005 (note that the value less than 0.005 is interpreted as 000 in the SPSS outputs). From that point, regression analysis revealed a positive relationship (R = 975). The R coefficient of 0.975 indicates that the predictors of the model which family size and cost, have a correlation of 97.5% with the dependent variable (solid waste management) The study also revealed that a combination of family size and cost together contributed to 95.2% (R2= 0.952) of the solid waste management. Therefore, we concluded that the regression model was statistically significant and predict the results from our variables. The side of the Model summary exemplified that the R-value indicated some simple correlations between our variables. This demonstrated a higher degree of correlation between the dependent and independent variables from the study. Similarly, the R square proved how the total variation between all the dependent variables and solid waste management was in relation. This lead us to conclude that there was a strong relationship between family size, cost and solid waste management in Muhanga district. From the shortcomings of the research, the following recommendations have been provided; there is need to create awareness and sensitize households on integrated solid waste management especially on how households can reduce, reuse and recycle the generated solid wastes at household level by the County Government.Segregation of solid wastes at the household should be encouraged as this makes it easy to deal with the different types of solid wastes in Muhanga City.

Keywords : Factors, Household, Participation, Solid waste, Management.

The goal of this research was to assess factors influencing participation of households in solid waste management in Muhanga city of southern province, Rwanda; more specifically, the research had the following specific objectives were to analyze factors influencing household participation in solid waste management in Muhanga City, to examine the solid waste management at household level in Muhanga city and to establish whether there is a significant effect of household participation in solid waste management in Muhanga city. The ANOVA tables proved better understandings of how the regression equation predicts the behaviors of the dependent against independent variables, and the model equation proved that the data are fit in the equation. The regression models predicted that the dependent variable was strongly significant as the data sample we have is fit. In the "sig." column, we find that the value of P is less than 0.005 that is P<0.005 (note that the value less than 0.005 is interpreted as 000 in the SPSS outputs). From that point, regression analysis revealed a positive relationship (R = 975). The R coefficient of 0.975 indicates that the predictors of the model which family size and cost, have a correlation of 97.5% with the dependent variable (solid waste management) The study also revealed that a combination of family size and cost together contributed to 95.2% (R2= 0.952) of the solid waste management. Therefore, we concluded that the regression model was statistically significant and predict the results from our variables. The side of the Model summary exemplified that the R-value indicated some simple correlations between our variables. This demonstrated a higher degree of correlation between the dependent and independent variables from the study. Similarly, the R square proved how the total variation between all the dependent variables and solid waste management was in relation. This lead us to conclude that there was a strong relationship between family size, cost and solid waste management in Muhanga district. From the shortcomings of the research, the following recommendations have been provided; there is need to create awareness and sensitize households on integrated solid waste management especially on how households can reduce, reuse and recycle the generated solid wastes at household level by the County Government.Segregation of solid wastes at the household should be encouraged as this makes it easy to deal with the different types of solid wastes in Muhanga City.

Keywords : Factors, Household, Participation, Solid waste, Management.

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