Household Willingness to Pay for Improved Solid Waste Management Service: The Case of Ambo Town, Ethiopia

Derese Getachew, Negassa Fufa


Solid waste management is continued to be a major challenge and environmental problem of Ambo town. Households are the main sources of solid waste as well as they are the main victims due to unmanaged solid waste. Thus, involving the households’ as a stakeholder with a service charge could be reasonable to propose mechanisms for cost recovery and to provide the service sustainably. The objectives of this study are to identify factors affecting households’ willingness to pay (WTP), amount they are willing to pay and estimate the aggregate demand for improved solid waste management service. A multistage sampling technique was employed to select 396 respondents for the study. The binery probit model was used to obtain the mean WTP and identify factor affecting households’ WTP decision. The result depicts that mean monthly WTP by the households is Birr 29.55. The probit model result also revealed that quantity of solid waste generated, monthly income, perception of household’s about solid waste management, sex household head, marital status and educational level were statistically significant in determining household’s decision to pay. Tobit model was employed to examine determinants of the amount of money the households are WTP. Based on the model result, quantity of solid waste generated, perception of household’s, family size, educational level and total income were significant variables in explaining maximum amount are WTP. The result of the study suggests that any policy directed towards the provision of effective solid waste management in the town should incorporate demand side information related to household’s WTP, amount WTP and significant factors determine their WTP.

In addition, giving more emphasis to introduce service charge for improved solid waste management is the appropriate strategy in order to solve financial constraint and for implementation of integrated improved solid waste management which involves the household as stakeholders.


Demand; Solid waste management; Probit model; Tobit model; Willingness to pay.

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Smith P. (2010).What is Solid Waste Management? Retrieved from: http://www.wise [June 21, 2016].

UNEP (United Nations Environment Program) (2013). Guidelines for National Waste Management Strategies. Moving from Challenges to Opportunities.

Environmental Protection Agency (2013). Municipal Solid Waste Generation, Recycling, and disposal in the United States: Facts and Figures for 2011. Retrieved from: [July 9, 2016].

World Bank (2012). What a Waste. A Global Review of Solid Waste Management. Washington, DC: The World Bank.

UNEP (United Nations Environment Program) (2015). Global Waste Management outlook.

Takele T. (2004). Solid and Hazardous Waste Management for Environmental Health Science Students. In collaboration with the Ethiopia Public Health Training Initiative. The Carter Center, the Ethiopia Ministry of Health and the Ethiopia Ministry of Education University of Gondar, August, 2004.

Ashish T. and Uttam D. (2013). Households Willingness to Pay for Improved Waste Management in Silchar Municipal Area: A Case Study in Cachar District, Assam. IOSR. Journal of Humanities and Social Science (IOSR-JHSS) ISSN: 2279-0837, ISBN: 2279-0845, Volume 6, Issue 5, pp. 21-33, February, 2013

Dagnew H., Alemu M., and Zenebe G. (2012). Households‟ Willingness to Pay for Improved Solid Waste Management. The Case of Mekelle City, Master’s Thesis, Addis Ababa University, Department of Economics, Addis Ababa.

Dadson A., Shaibu I., and Godfred S. (2013). Urban Households’ Willingness to Pay for Improved Solid Waste Disposal Services in Kumasi Metropolis, Ghana. Hindawi Publishing Corporation Urban Studies Research, Volume 2013, Article ID 659425.

Aklilu A. (2002). “Households’ Willingness to Pay for Improved Solid Waste Management: The Case of Addis Ababa” Master's Thesis, Addis Ababa university, Department of Economics, Addis Ababa.

Yamane T. (1967). Statics an Introductory Analysis 2nd edition, Harper and Row, New York.

Mithcele R.C. and T.R. Carson (1989).Using survey to value public goods: The contingent valuation method, resources for the future, Washington, D.C. The Johns Hopkins University Press. Baltimore, U.S.A.

Hanemann W.M., J. Loomis and B. Kanninen (1991). Statistical efficiency of double-bounded dichotomous choice contingent valuation. American Journal of Agricultural Economics, Volume 73, pp. 1255-1263.


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