Author:
Bikorimana Gerard,Shengmin Sun
Abstract
PurposeUpgraded water and better sanitation are essential for human health, but it is still a challenge to get admittance to these facilities and the concerns of public health becomes most victims. The purpose of this paper is to analyze the socioeconomic and demographic forecaster linked with admittance to safer water and upgraded sanitation facilities in Rwanda. The study uses the cross-sectional data from the 2014 to 2015 Rwanda Demographic Health Survey and uses linear generalized models for the analysis.Design/methodology/approachThe logit and probit regressions were used to analyze whether or not any forecaster variables influenced the predicted variable.FindingsThe findings showed that the households with the highest education background were 11.55 times more probable to have admittance to upgraded water sources compared to those who had none level of education. Likewise, the respondents with secondary and higher education were, respectively, 9.55 times and 4.09 times more probable to have admittance to upgraded latrine facilities. The authors found the increase of household size as significantly associated with admittance to the upgraded water source and latrine facilities compared to those families with fewer household members. The results also found that wealthier households had a larger odds ratio significance in getting admittance to upgraded water sources and sanitation facilities compared to poorer households. The study results found the greatest gap in access to upgraded water sources and sanitation facilities in rural areas compared to urban areas.Research limitations/implicationsThe implications of the study results call for water policy formulation and implementation in Rwanda, as well as generally for other developing countries.Originality/valueIn Rwanda, this is the first study that empirically inspected the relationship between socioeconomic and demographic forecasters on admittance to upgraded water and sanitation facilities.Peer reviewThe peer review history for this article is available at:https://publons.com/publon/10.1108/IJSE-07-2019-0452
Subject
General Social Sciences,Economics and Econometrics
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