2017
DOI: 10.11113/aej.v7.15493
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Different Perceptions of Concern Factors for Strategic Investment of the Private Sector in Public-Private Partnership Transportation Projects

Abstract: This paper identifies the concern factors of private investors associated with Public-Private Partnership (PPP) transportation projects in Vietnam. The concern factors are incorporated into four main groups: (1) company profile; (2) finance; (3) opportunities; and (4) risk perceptions. The paper examines the different perceptions by the public and private sectors about these concern factors adopted by experienced professionals related to PPP transportation projects. Based on a questionnaire survey in Vietnam, … Show more

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Cited by 6 publications
(3 citation statements)
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References 13 publications
(26 reference statements)
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“…PC11 Lack of approval for import waivers at the bidding phase. Sy et al (2016). PC12 Poor or weak legal backing on PPP procurement process.…”
Section: Methodsmentioning
confidence: 99%
“…PC11 Lack of approval for import waivers at the bidding phase. Sy et al (2016). PC12 Poor or weak legal backing on PPP procurement process.…”
Section: Methodsmentioning
confidence: 99%
“…However, the private sectors have the willingness to run partially or completely into debt by investigating the possibility of long-term income based on the country's inflation rate, political risks, legal risks, and government experience with PPP projects (Likhitruangsilp et al 2017a), the option will be DBFO in general (Asian Development Bank 2005). As a result, this criterion should consider strongly in the contract selection process.…”
Section: Finance Constraintsmentioning
confidence: 99%
“…These options include things like the type, length, strength, and durability of the material to be used. Moreover,Likhitruangsilp et al (2017a) stated that the most serious threat to PPP highway development projects in China was a stagnant government decision-making process and a feasible solution need to be figured out in advance.The problem mentioned above can be assisted by multi-criteria decision methods (MCDC) and it recently has been used. There are numeral types of MCDMs, and some approaches are commonly and frequently used such as Analytical Hierarchy Process (AHP), Analytical Network Process (ANP), a simple weighted sum approach (WS), fuzzy set theory (FST), outranking method (OR) and multi-attribute utility analysis (MAUA).Table 2.4 Description of multi-criteria decision making (…”
mentioning
confidence: 99%