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首页> 外文期刊>Urban Studies Research >Urban Households' Willingness to Pay for Improved Solid Waste Disposal Services in Kumasi Metropolis, Ghana
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Urban Households' Willingness to Pay for Improved Solid Waste Disposal Services in Kumasi Metropolis, Ghana

机译：加纳库马西大都市的城市家庭愿意为改善固体废物处理服务付费

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摘要

Solid waste management within Kumasi Metropolitan Assembly area continues to be a major challenge for the municipal assembly and one of the key issues is its financial constraints. This study was undertaken to examine households' willingness to pay for improved solid waste management services. A multistage sampling technique was employed to select six hundred respondents for the study. Logistic regression model was used to establish the determinants of willingness to pay for solid waste management whilst the Tobit model was used to evaluate the factors influencing the amount of money the households are willing to pay for improved solid waste management. The logistic model shows that income, age, number of children, quantity of waste generated, and education have significant effects on the willingness to pay, while the amount of money the households are willing to pay was influenced by their income, quantity of waste generated, education, house ownership, and number of children. Thus, the assembly can increase waste collection fees between GHC 3 and GHC 5.00. This would lead to improvement in the waste management within the metropolis. However, the additional charge should take into consideration location and income levels.
机译：库马西大都会议会辖区内的固体废物管理仍然是市政议会的主要挑战，关键问题之一是其财政拮据。进行这项研究的目的是检验家庭是否愿意为改善固体废物管理服务付费。采用多阶段抽样技术选择了六百名受访者进行此项研究。 Logistic回归模型用于确定支付固体废物管理意愿的决定因素，而Tobit模型用于评估影响家庭愿意为改善固体废物管理支付费用的因素。逻辑模型表明，收入，年龄，儿童数量，产生的废物数量和教育程度对支付意愿有重大影响，而家庭愿意支付的金额则受其收入，产生的废物数量影响，教育程度，房屋所有权和子女数量。因此，该组件可以在GHC 3和GHC 5.00之间增加废物收集费。这将导致大都市内废物管理的改善。但是，额外费用应考虑位置和收入水平。

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