DC Field | Value | Language |
dc.contributor.author | Gebru, Getahun | - |
dc.date.accessioned | 2016-12-28T14:09:19Z | - |
dc.date.available | 2016-12-28T14:09:19Z | - |
dc.date.issued | 2015-07-15 | - |
dc.identifier.uri | http://hdl.handle.net/123456789/2483 | - |
dc.description.abstract | This study estimates residents’ willingness to pay for improved liquid waste treatment
in Addis Ababa and its determinants using data collected from 384 randomly
selected households in 2011 from five Woredas of five sub cities. Basic and correlated
random parameter logit model with and without interaction are applied to
estimate parameters by maximum simulated likelihood technique. Delta procedure
is applied to calculate implicit price of attributes. Our findings indicates that though
respondents preferred improvement plans with higher quantity and quality of treated
domestic liquid waste, they gave more emphasis on effluents quality than increasing
only the capacity and number of sewage treatment plants. We also found
that the sampled households prefer a cheaper alternatives and presence of status
quo bias. We found unconditional and unobserved preference heterogeneity towards
attributes and alternatives in the choices. The estimated Mean willingness to pay
per month was 22.14 and 4.60 Ethiopian Birr (ETB) for high quality and additional
quantity of treated liquid waste, respectively. But this figure was 15.53 ETB for
medium improvement scenario. The compensating surplus for the change from the
status quo to the considered scenarios increased as we move towards aggressive
improvement. The result indicates as large amount of public financing is expected.
Finally, the paper concludes by providing a range of policy recommendation to be
considered in designing city’s environmental management strategies. | en_US |
dc.language.iso | en | en_US |
dc.publisher | ST.MARY'S UNIVERSITY | en_US |
dc.subject | Choice experiment, random parameter logit, willingness to pay, liquid waste, urban environment | en_US |
dc.title | 149 Determinants of Residents Willingness to Pay for Improved Urban Environment: Choice Modeling Approach | en_US |
dc.type | Article | en_US |
Appears in Collections: | The 7th Multidisciplinary Research Seminar
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