2014
DOI: 10.1080/1943815x.2014.942746
|View full text |Cite
|
Sign up to set email alerts
|

Using a choice experiment to estimate the social benefits from improved water supply services

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
15
1
1

Year Published

2015
2015
2021
2021

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 33 publications
(22 citation statements)
references
References 32 publications
1
15
1
1
Order By: Relevance
“…The researcher restricted total sample size in to 270, and it was distributed for two kebeles proportionally. Identifying the attributes and attribute levels is the first step to undertake choice experiment survey design (Mesfin, 2010;Getenet, 2012;Latinopoulos, 2014;Birol et al, 2006). This identifies residents' opinions about current issues and problems related to the mountain, and five attributes (biodiversity, water availability for domestic supply and irrigation, recreational quality, job opportunity and annual cost for service improvements) are selected to describe choke mountain wetland ecosystem.…”
Section: Description Of the Study Areamentioning
confidence: 99%
See 1 more Smart Citation
“…The researcher restricted total sample size in to 270, and it was distributed for two kebeles proportionally. Identifying the attributes and attribute levels is the first step to undertake choice experiment survey design (Mesfin, 2010;Getenet, 2012;Latinopoulos, 2014;Birol et al, 2006). This identifies residents' opinions about current issues and problems related to the mountain, and five attributes (biodiversity, water availability for domestic supply and irrigation, recreational quality, job opportunity and annual cost for service improvements) are selected to describe choke mountain wetland ecosystem.…”
Section: Description Of the Study Areamentioning
confidence: 99%
“…This identifies residents' opinions about current issues and problems related to the mountain, and five attributes (biodiversity, water availability for domestic supply and irrigation, recreational quality, job opportunity and annual cost for service improvements) are selected to describe choke mountain wetland ecosystem. The CEM is a variant of conjoint analysis, which was primarily developed by Louviere and Hensher (1982), and Louviere and Woodworth (1983), and has its roots in Lancaster's characteristics theory of value, in random utility theory and in experimental design (Latinopoulos, 2014). According to random utility theory (Luce, 1959;McFadden, 1973), utility function for a The assumption is that stochastic components are independently and identically distributed (IID) with a Gumbel distribution.…”
Section: Description Of the Study Areamentioning
confidence: 99%
“…the choice experiment (CE) method. A large number of studies have been conducted using CE over the decades to examine the welfare effects and consumer preferences attributes for water services (Abou-Ali & Carlsson 2004;Willis et al 2005;MacDonald et al 2005;Hensher et al 2005;Kanyoka et al 2008;Poirier & Fleuret 2010;Latinopoulos 2014). However, most of the studies are in developed countries.…”
Section: Previous Studies On Valuation Of Water Servicesmentioning
confidence: 99%
“…The data for this study was obtained from the survey where face-to-face personal interview of a structured questionnaire was employed. This is the highly applied technique in economic valuation studies as employed by Blamey et al (1999), Christie et al (2006), Kanyoka et al (2008), Mohd Rusli et al (2011), Syamsul Herman et al (2012, Mohamad Safee et al (2013), Latinopoulos (2014), Mahirah et al (2016), Nur Syuhada et al (2019) and Matthew et al (2019). In this research, the survey was a face-to-face interview conducted by the researcher with the help of field assistants.…”
Section: Choice Experiments Designmentioning
confidence: 99%
“…attitudes or information), taking into account the unobserved variables as another source of difference in the respondents preference can help to obtain better insights on respondents' behaviour (Nunes 2002;Hess and Beharry-Borg 2012). Therefore, estimating non-users' WTP and how their participation is affected by their attitudinal, information or sociodemographic factors can provide useful information for future policy-making (Fonseca 2009;Latinopoulos 2014). This later on and based on utility measure could help the policy-makers to choose the policy with highest utility (Hess and Beharry-Borg 2012;Home et al 2014).…”
Section: Introductionmentioning
confidence: 99%