Risk assessment in straw-based power generation public-private partnership projects in China: A fuzzy synthetic evaluation analysis

2017 ◽  
Vol 161 ◽  
pp. 977-990 ◽  
Author(s):  
Yunna Wu ◽  
Lingwenying Li ◽  
Ruhang Xu ◽  
Kaifeng Chen ◽  
Yong Hu ◽  
...  
Keyword(s):  
Power Generation ◽  
Risk Assessment ◽  
Public Private Partnership ◽  
Fuzzy Synthetic Evaluation ◽  
Private Partnership ◽  
Synthetic Evaluation

scholarly journals Fuzzy Synthetic Evaluation of the Critical Success Factors for the Sustainability of Public Private Partnership Projects in China

2021 ◽  
Vol 13 (5) ◽  
pp. 2551
Author(s):  
Binchao Deng ◽  
Dongjie Zhou ◽  
Jiachen Zhao ◽  
Yilin Yin ◽  
Xiaoyu Li
Keyword(s):  
Policy Development ◽  
Critical Success Factors ◽  
Success Factors ◽  
Legal Framework ◽  
Public Private Partnership ◽  
Fuzzy Synthetic Evaluation ◽  
Private Partnership ◽  
Stakeholder Relationships ◽  
Critical Success ◽  
Synthetic Evaluation

Public Private Partnership (PPP) projects have attracted wide attention from academia and industry over the past 20 years, however, they have been plagued by certain factors. This study identified, classified, and evaluated the success factors that may affect PPP projects for achieving sustainability. First, a list of 32 critical success factors were categorized into 3 groups, then a questionnaire survey was conducted, with 108 responses received from experts, researchers, and PPP project managers in China. Second, using a fuzzy synthetic evaluation (FSE) method, stakeholder relationships (A1–A10), external environmental (B1–B8), and project management of a special purpose vehicle (C1–C14) collected data at three different factor group locations in PPP projects were used in this evaluation. The results obtained nine top factors: private sector financing capacity, government credit, government commitment or guarantee, completeness of legal framework, available financial markets, the feasibility study report and implementation, effectiveness of risk management, project investment, and cost control and revenue distribution. It was demonstrated that fuzzy synthetic evaluation techniques are quite appropriate techniques for PPP projects. The research findings should impact on policy development towards PPP and Private Finance Initiative (PFI) project governance.

Risk assessment based on fuzzy synthetic evaluation method

2019 ◽  
Vol 658 ◽  
pp. 818-829 ◽  
Author(s):  
Marin Akter ◽  
Momtaz Jahan ◽  
Rubaiya Kabir ◽  
Dewan Sadia Karim ◽  
Anisul Haque ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Evaluation Method ◽  
Fuzzy Synthetic Evaluation ◽  
Synthetic Evaluation

Developing a risk assessment model for PPP projects in China — A fuzzy synthetic evaluation approach

2010 ◽  
Vol 19 (7) ◽  
pp. 929-943 ◽  
Author(s):  
Yelin Xu ◽  
John F.Y. Yeung ◽  
Albert P.C. Chan ◽  
Daniel W.M. Chan ◽  
Shou Qing Wang ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Assessment Model ◽  
Risk Assessment Model ◽  
Fuzzy Synthetic Evaluation ◽  
Evaluation Approach ◽  
Synthetic Evaluation

scholarly journals USING FUZZY ANALYTIC NETWORK PROCESS AND ISM METHODS FOR RISK ASSESSMENT OF PUBLIC-PRIVATE PARTNERSHIP: A CHINA PERSPECTIVE

2019 ◽  
Vol 25 (2) ◽  
pp. 168-183 ◽  
Author(s):  
Yan Li ◽  
Xinyu Wang
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Assessment Tool ◽  
Analytic Network Process ◽  
Interest Rate Risk ◽  
Public Private Partnership ◽  
Interpretive Structural Modeling ◽  
Private Partnership ◽  
Network Process ◽  
Fuzzy Analytic Network Process

The public-private partnership (PPP) has been adopted globally to meet intensifying demands for public facilities and services. However, PPP projects contain a variety of risks which may lead to project failure. Many researchers have explored risk factors associated with PPP projects in developing countries. However, these investigations have limited their aim to understanding risk impact without considering the interactions of these factors. Hence, to fill this gap, this study proposes a risk assessment method, addressing vital interrelationships and interdependencies. Two methodologies, fuzzy analytic network process (F-ANP) and interpretive structural modeling (ISM), were applied to avoid vagueness and data inaccuracies. The primary contributions of this paper were considering the relationships among risk factors and risk priority; and offering a risk analysis approach based on linguistic scales and fuzzy numbers to reflect different neutral, optimistic and pessimistic viewpoints from expert respondents’ judgments. Results from this analysis showed that legal and policy risk was the most influential and interdependent risk, and interest rate risk was the most essential risk in Chinese PPP projects. The ISM structure diagram demonstrated that most of 35 identified risk factors had high driving and dependence power. This study proposed a systematic and practical method to identify and assess PPP risk factors, utilizing an integrated approach consisting of F-ANP and ISM, which has not been used for risk assessment in the construction field. This paper provides a new risk assessment tool and a basis for risk management strategies in the construction engineering and management field.

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