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Title: Evaluation and ranking of risk factors in public-private partnership water supply projects in developing countries using fuzzy synthetic evaluation approach
Authors: Ameyaw, EE
Chan, APC 
Keywords: Fuzzy synthetic evaluation
Public-private partnership
Risk assessment
Water supply
Issue Date: 2015
Publisher: Pergamon Press
Source: Expert systems with applications, 2015 How to cite?
Journal: Expert systems with applications 
Abstract: As governments embark on public-private partnerships (PPPs) to develop their water infrastructure, effective risk assessment, which has remained nebulous, has become an important step to ensure success of these projects. This paper investigates the risk factors and assesses the risk level of PPP water supply projects in developing countries using fuzzy synthetic evaluation (FSE) approach. A 40-factor risk list was established through investigation in water projects cases and related literature and an industry-wide questionnaire survey with industry practitioners. Initial statistical analysis yielded 22 critical risk factors that would have significant impacts on water supply partnerships. These factors were categorized into three principal factors (financial/commercial, legal and socio-political, and technical) forming the input variables for FSE analysis. The study showed that the overall risk level of water PPPs in developing countries is high, suggesting that these projects are risky to both governments and private participants. The fuzzy analysis, overall, confirmed that financial/commercial risk category is the most critical principal factor, followed by legal and socio-political category and technical category. The FSE approach to risk assessment can be used as an initial screening to establish risk factors that require attention of management and further detailed analysis. This study demonstrates that FSE methodology can be used to synthetically analyze local conditions in a country prior to setting up the project structure and normal due diligence. It is a multi-attribute risk assessment framework and may serve as a risk evaluation tool for private investors, policy-makers and decision-makers.
ISSN: 0957-4174
EISSN: 1873-6793
DOI: 10.1016/j.eswa.2015.02.041
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