Risk perception, choice of drinking water, and water treatment: evidence from Kenyan towns

dc.creatorNdiritu, Simon
dc.creatorOnjala, Joseph
dc.creatorStage, Jesper
dc.date07/07/2014
dc.dateMon, 7 Jul 2014
dc.dateMon, 7 Jul 2014 15:07:59
dc.dateMon, 7 Jul 2014 15:07:59
dc.date.accessioned2015-03-18T11:29:13Z
dc.date.available2015-03-18T11:29:13Z
dc.descriptionArticle
dc.descriptionThis study uses household survey data from four Kenyan towns to examine the effect of households’ characteristics and risk perceptions on their decision to treat/filter water as well as their choice of main drinking water source. Because the two decisions may be jointly made by the household, a seemingly unrelated bivariate probit model is estimated. It turns out that treating non-piped water and using piped water as a main drinking water source are substitutes. The evidence supports the finding that perceived risks significantly correlate with a household’s decision to treat/filter unimproved non-pipe water before drinking it. The study also finds that higher connection fees reduce the likelihood of households connecting to the piped network. Because the current connection fee acts as a cost hurdle that deters households from getting a connection, the study recommends a system where households pay the connection fee in installments, through a prepaid water scheme or through a subsidy scheme.
dc.description.abstractThis study uses household survey data from four Kenyan towns to examine the effect of households’ characteristics and risk perceptions on their decision to treat/filter water as well as their choice of main drinking water source. Because the two decisions may be jointly made by the household, a seemingly unrelated bivariate probit model is estimated. It turns out that treating non-piped water and using piped water as a main drinking water source are substitutes. The evidence supports the finding that perceived risks significantly correlate with a household’s decision to treat/filter unimproved non-pipe water before drinking it. The study also finds that higher connection fees reduce the likelihood of households connecting to the piped network. Because the current connection fee acts as a cost hurdle that deters households from getting a connection, the study recommends a system where households pay the connection fee in installments, through a prepaid water scheme or through a subsidy scheme.
dc.identifier.urihttp://hdl.handle.net/11071/3788
dc.languageeng
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dc.subjectrisk perception
dc.subjectwater quality
dc.subjectdrinking water
dc.subjectwater treatment
dc.titleRisk perception, choice of drinking water, and water treatment: evidence from Kenyan towns
dc.typeArticle
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