Sustainability Assessment and Identification of Determinants in Community-Based Water Supply Projects using Partial Least Squares Path Model

Journal of Sustainable Development of Energy, Water and Environment Systems
ARTICLE IN PRESS (volume, issue and page numbers will be assigned later)
Samir H. Ibrahim
Department of Environmental Science and Technology, Faculty of Science and Technology, Al Neelain University, 52nd St., Khartoum, Sudan

In the current paper, the sustainability of community-based water supply projects in four different states in Sudan was assessed using a set of multidimensional indicators. A sustainability index was developed using a set of sustainability criteria including technical, reliability/risk, social, organisational, financial as well as sustainability. Basic sustainability criteria were selected based on literature review and stakeholders discussion. For each criterion a set of observable indicators was identified, in total 23 indicators were identified. Furthermore, a detailed statistical analysis and model development was carried out to identify main sustainability determinants for community-based water supply projects in Sudan. Partial least squares-path modelling was used to determine and quantify relationships between the sustainability criteria. The results showed that although all analyzed projects were relatively young projects (1 to 4 years), all projects showed low sustainability performance. This was mainly due to organizational as well as financial aspects, which also was confirmed by path modeling analysis, the sustainability of community-based water supply projects was directly related to organizational aspects, but indirectly related to financial issues. There is a need to give more attention to the communities’ organizational and financial abilities and to leverage their ability through governmental and/or non-governmental organization support especially after project implementation phase.

Keywords: Community-based water supply, Rural water, Sustainability assessment, Path modeling, Sustainability determinants.

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