This study tried to investigate urban community’s willingness to pay for improved solid waste management. Double Bounded Dichotomous Choice technique was used to examine household’s willingness to pay for improved solid waste management. The collected data further analyzed Bivariate probit and logistic regression models to investigate the mean and factors determining willingness to pay for solid waste management. A random sampling technique produced surveys from 190 households. Majority of the households indicated that the current solid wastes management is very poor. The econometric result showed that the mean and total willingness to pay from double bound elicitation method was 16US$/household/year and 590,473.22US$/year respectively, while the mean and total willingness to pay from open ended elicitation method were computed at 14US$/year and 524,306.8US$/year. The mean annual willingness to pay for solid waste management from double bound elicitation method was greater than from open ended elicitation method. Households’ age, size, income, education and amount of solid waste generated as well as bid value, were key determinants of solid waste management improvement. Hence, policy makers should target double bounded elicitation method than open ended elicitation method of eliciting the willingness to pay for solid waste management improvement.
Key words: Willing to pay, logistic regression, Bivarate profite, contingent valuation method (CVM), solid waste management (SWM).
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