Evaluation and ranking of risk factors in public-private partnership water supply projects in developing countries using fuzzy synthetic evaluation approach

Effah Ernest Ameyaw, Albert P.C. Chan

Research output: Contribution to journalArticle

77 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)5102-5116
Number of pages15
JournalExpert Systems with Applications
Volume42
Issue number12
DOIs
Publication statusPublished - 15 Jul 2015
Externally publishedYes

Keywords

  • Fuzzy synthetic evaluation
  • Public-private partnership
  • Risk assessment
  • Water supply

ASJC Scopus subject areas

  • Engineering(all)
  • Computer Science Applications
  • Artificial Intelligence

Fingerprint Dive into the research topics of 'Evaluation and ranking of risk factors in public-private partnership water supply projects in developing countries using fuzzy synthetic evaluation approach'. Together they form a unique fingerprint.

  • Cite this