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

Abstract

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.

Econometric models - a method for examining factors of implementation of public-private partnership projects in selected European countries

“…Their purpose is usually to identify, classify and evaluate the success factors of PPPs. In a paper [16], the authors conducted a survey with 108 responses from experts, researchers and project managers. The fuzzy synthetic evaluation (FSE) method was then applied and nine most important factors were obtained.…”

“…At the same time, it is the best model satisfying the p2 criterion. The second-best model satisfying the p2 criterion is the hyperbolic model I with variables 1, 8, 11, 12 (WD7) 16 . Models satisfying criterion p1 do not use variables 3 and 8 (Table 21).…”

Fuzzy synthetic evaluation of the systemic obstacles to personalizing knowledge flows within and across projects

“…As a result, positivist tradition was the epistemological perspective in this study. This approach has been widely used to recent construction management and civil engineering literature (Aghimien et al , 2020; Deng et al , 2021; Guribie et al , 2022; Wuni and Shen, 2020)…”

“…As a result, positivist tradition was the epistemological perspective in this study. This approach has been widely used to recent construction management and civil engineering literature (Aghimien et al, 2020;Deng et al, 2021;Guribie et al, 2022;Wuni and Shen, 2020) Identification of the study variables The measurement items for the current study were identified from the review of pertinent literature. After a thorough review of literature, 20 potential obstacles to the personalization of knowledge flows were identified in this study, as listed in Table 1.…”

Weighting of Basic Indices for Value for Money Qualitative Evaluation of the Public-Private Partnership Aged Care Project through the Analytic Hierarchy Process

“…rough the AHP, Xiang et al [13] optimized the influencing factors of VFM evaluation in PPP projects. Deng et al carried out fuzzy comprehensive evaluation (FCE) to identify the key success factors of PPP projects [14]. Cui et al [15] confirmed and verified the relationship between VFM drivers of PPP projects through questionnaire survey and scanning electron microscopy (SEM).…”