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.