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Public preferences for improved urban waste management: a choice experiment

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  • Tarfasa, Solomon
  • Brouwer, Roy

Abstract

A discrete choice experiment, aiming to elicit public preferences for improvements in solid waste services, is carefully administered across socioeconomic zones in the city of Hawassa, Ethiopia. Observed and unobserved preference heterogeneity are analyzed using mixed logit choice models. The results show that there exists substantial willingness to pay to increase collection frequency and separate recyclable waste. A new issue is the focus on child labor in the waste management sector. Significant gender effects are found: women are more interested than men in increasing waste collection frequency and value the abolishment of child labor more highly, as do higher income households. As expected, respondents living in wealthier neighborhoods are more likely to pay higher service charges. Education indirectly influences preferences for waste separation. The study provides important insight into the social benefits of public investment decisions to improve the quality of solid waste management services in large cities in Ethiopia.

Suggested Citation

  • Tarfasa, Solomon & Brouwer, Roy, 2018. "Public preferences for improved urban waste management: a choice experiment," Environment and Development Economics, Cambridge University Press, vol. 23(2), pages 184-197, April.
  • Handle: RePEc:cup:endeec:v:23:y:2018:i:02:p:184-197_00
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    Cited by:

    1. Xuan Thi Dan Huynh & Tien Dung Khong & Adam Loch & Huynh Viet Khai, 2023. "Solid waste management program in developing countries: contingent valuation methodology versus choice experiment," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(11), pages 12395-12417, November.
    2. Mariel, Petr & Khan, Mohammad Asif & Meyerhoff, Jürgen, 2022. "Valuing individuals’ preferences for air quality improvement: Evidence from a discrete choice experiment in South Delhi," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 432-447.
    3. Dai, Dan & Brouwer, Roy & Lei, Kun, 2021. "Measuring the economic value of urban river restoration," Ecological Economics, Elsevier, vol. 190(C).

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