| dc.description.abstract | The study analysis factors that influence sol id waste management in Nairobi. It uses contingent valuation method to obtain household willingness to pay for improved waste management in Nairobi .A case study was done at Pangani estate and 200 respondents were interviewed. Systematic random sampling was applied in this study. Ordinary least square techniques was applied in the data analysis to investigate the influence of the identified explanatory variables on the Willingness to pay. These variables included social economic factors for example, education. family size, marital status, age etc. Also environmental factors eg health attitude of the respondents The findings from the OLS regression reveals that an individuals income, family size education level and house ownership are some of the factors that influences willingness to pay The probit model was used and various explanatory variables were regressed against wtp. These helped to get the determinant of probability of. The results revealed that factors like income, family size, education level are some of the factors that determine probability of willingness to pay. The estimated results included both descriptive as well as econometric analysis on the entire sample which indicates that as regards to willingness to pay, a higher percentage of men were willing 0 pay more than women but more women than men are concerned with the environment. Household currently being served by city council indicates more concern in relation to the existing solid waste services problem, the frequency of collection and their current disposal methods as compared to those already being serviced by private providers. | en |
