| Literature DB >> 29937535 |
Jingfeng Yuan1, Wei Li2, Jiyue Guo3, Xianbo Zhao4, Mirosław J Skibniewski5.
Abstract
Public-private partnerships (PPPs) have become increasingly important in improving the sustainability of society in China, with transportation being the largest investment area. However, the Social Risk Factors (SRFs) of transportation PPPs in China, which serve as a useful tool for distinguishing strengths and weaknesses for effective social risk management (SRM), have not been clearly identified. A conceptual model including 3 risk dimensions and 15 SRFs was proposed to mitigate social risks and improve the social sustainability of transportation PPP projects. A questionnaire survey conducted to investigate stakeholders’ opinions on the proposed SRFs demonstrated that all the SRFs were important. The SRFs can be used to evaluate social risks from economic, environmental, and social dimensions. Confirmatory factor analysis (CFA) verified the classification of the SRFs and indicated that all the risk dimensions contributed to social risks. The social and environmental impacts on social sustainability may contribute more to the generation of social risks. Furthermore, the concept of people-first PPPs was proposed to reduce social risks from the perspective of different stakeholders, with the interactions among different stakeholders being prioritized. The identified SRFs and their relationships can improve our understanding of SRM in the delivery of social sustainability and improve social resilience.Entities:
Keywords: confirmatory factor analysis (CFA); public private partnerships (PPPs); questionnaire survey; social risk factors (SRFs); sustainable development
Mesh:
Year: 2018 PMID: 29937535 PMCID: PMC6068480 DOI: 10.3390/ijerph15071323
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1Three dimensions of SDGs for sustainable development of transportation.
Figure 2The research method adopted in this study.
Profile of the respondents.
| Respondents | Valid Questionnaire | Percentage | |||
|---|---|---|---|---|---|
|
| Government officer | 62 | 31.63% | ||
| Managers for private sectors | 30 | 15.31% | |||
| The General public | 24 | 12.24% | |||
| Financial institution | 12 | 6.12% | |||
| Researchers | 68 | 34.69% | |||
| Total | 196 | 100% | |||
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| ≤5 years | 58 | 29.59% | 91 | 46.42% | |
| 6–10 years | 80 | 40.82% | 73 | 37.24% | |
| 11–15 years | 46 | 23.47% | 27 | 13.78% | |
| ≥16 years | 12 | 6.12% | 5 | 2.56% | |
| Total | 196 | 100% | 196 | 100% | |
Critical elements of social sustainability.
| No. | Critical Elements of Social Sustainability | Sources | Project Level | System Level | Is This Value for Money? |
|---|---|---|---|---|---|
| S1 | Equal opportunities | [ | √ | √ | √ |
| S2 | Education and training | [ | √ | ||
| S3 | Governance | [ | √ | ||
| S4 | Health and safety | [ | √ | √ | √ |
| S5 | Employment | [ | √ | √ | |
| S6 | Security | [ | √ | √ | √ |
| S7 | Human Rights | [ | √ | √ | |
| S8 | Indigenous rights | [ | √ | √ | |
| S9 | Labor practices | [ | √ | √ | |
| S10 | Fair operating practices | [ | √ | √ | |
| S11 | Cultural heritage | [ | √ | √ | |
| S12 | Community involvement and development | [ | √ | √ | √ |
| S13 | Technology development | [ | √ | √ |
“√” in the table means the critical elements of social sustainability (S1–S13) belong to the corresponding level (i.e., project level/system level/is this value for money?).
Figure 3The conceptual model for SRFs in this study.
The identification of SRFs to achieve the social sustainability of transportation PPP projects.
| Social Risk Dimensions | SRFs of Transportation PPP Projects | Critical Elements of Social Sustainability for Transportation PPP Projects | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| S1 | S4 | S5 | S6 | S7 | S8 | S9 | S10 | S11 | S12 | |||
| SRFEC | SRFEC-1 | High Prices | √ | √ | ||||||||
| SRFEC-2 | Inadequate Compensation for Land Acquisition | √ | √ | √ | ||||||||
| SRFEC-3 | Construction Delay | √ | √ | |||||||||
| SRFEC-4 | Frequent repairs in the operation | √ | √ | |||||||||
| SRFEC-5 | Salary Change of Employees in Alternative Industries | √ | √ | √ | √ | √ | ||||||
| SRFEN | SRFEN-1 | Noise Pollutions | √ | √ | √ | √ | ||||||
| SRFEN-2 | Air Pollutions | √ | √ | √ | √ | |||||||
| SRFEN-3 | Water Pollutions | √ | √ | √ | √ | |||||||
| SRFSO | SRFSO-1 | Unemployment due to land acquisition | √ | √ | √ | √ | √ | |||||
| SRFSO-2 | Construction Safety and Accidents | √ | √ | √ | √ | |||||||
| SRFSO-3 | Damages of Cultural Heritage | √ | √ | √ | √ | √ | ||||||
| SRFSO-4 | Poor Public Service due to Low Prices | √ | √ | |||||||||
| SRFSO-5 | Traffic Congestion | √ | √ | √ | √ | √ | ||||||
| SRFSO-6 | Quality failures | √ | √ | |||||||||
| SRFSO-7 | Inadequate Facilities Surrounding the Projects | √ | √ | |||||||||
“√” in the table means the SRFs can influence the critical elements of social sustainability.
The mean values and rankings for transportation PPP projects in China.
| Social Risk Dimensions | SRFs of Transportation PPP Projects | Mean Value | Ranking within the Dimension | Ranking | S.D. | Distribution Shape | ||
|---|---|---|---|---|---|---|---|---|
| Skewness | Kurtosis | |||||||
| SRFEC | SRFEC-1 | High Prices | 3.77 | 5 | 5 | 0.978 | −0.819 | 0.632 |
| SRFEC-2 | Inadequate Compensation for Land Acquisition | 3.85 | 2 | 3 | 0.952 | −0.528 | −0.434 | |
| SRFEC-3 | Construction Delay | 3.93 | 1 | 1 | 1.058 | −0.918 | 0.257 | |
| SRFEC-4 | Frequent repairs in the operation | 3.61 | 4 | 8 | 0.930 | −0.491 | 0.020 | |
| SRFEC-5 | Salary Change of Employees in Alternative Industries | 3.85 | 2 | 3 | 0.984 | −0.645 | −0.122 | |
| SRFEN | SRFEN-1 | Noise Pollutions | 3.86 | 1 | 2 | 1.021 | −0.684 | −0.135 |
| SRFEN-2 | Air Pollutions | 3.46 | 3 | 14 | 0.941 | −0.403 | −0.147 | |
| SRFEN-3 | Water Pollutions | 3.61 | 2 | 8 | 1.138 | −0.426 | −0.598 | |
| SRFSO | SRFSO-1 | Unemployment due to land acquisition | 3.73 | 1 | 6 | 0.956 | −0.620 | −0.052 |
| SRFSO-2 | Construction Safety and Accidents | 3.58 | 4 | 11 | 0.955 | −0.596 | 0.168 | |
| SRFSO-3 | Damages of Cultural Heritage | 3.59 | 3 | 10 | 0.975 | −0.278 | −0.342 | |
| SRFSO-4 | Poor Public Service due to Low Prices | 3.49 | 5 | 12 | 1.055 | −0.331 | −0.490 | |
| SRFSO-5 | Traffic Congestion | 3.48 | 6 | 13 | 1.010 | −0.442 | −0.264 | |
| SRFSO-6 | Quality failures | 3.37 | 7 | 15 | 0.899 | −0.109 | −0.103 | |
| SRFSO-7 | Inadequate Facilities Surrounding the Projects | 3.63 | 2 | 7 | 0.933 | −0.492 | 0.029 | |
Figure 4The hypothesized model for CFA.
The recommended level of goodness-fit indices (GFIs) measures.
| GFIs (Goodness-Fit Indices) | Recommended Level of GFIs |
|---|---|
| χ2/degree of freedom (Df) | From 1 to 2 |
| Comparative fit index (CFI) | 0 (no fit) to 1 (perfect fit) |
| Normal fit index (NFI) | 0 (no fit) to 1 (perfect fit) |
| Root mean square error of approximation (RMSEA) | <0.05 indicate very good fit (Threshold level = 0.1) |
Results of Kaiser-Meyer-Olkin (KMO) analysis and Bartlett’s Test of Sphericity.
| Indicators | Values | |
|---|---|---|
| KMO measure of Sampling Adequacy | 0.841 | |
| Bartlett’s Test of Sphericity | Approx. Chi-Square | 940.232 |
| Df (Degree of freedom) | 105 | |
| Sig. (significance) | 0.000 | |
Figure 5The estimations of proposed models by CFA.
The measured values of goodness-fit indices (GFIs) for proposed four models.
| GFIs (Goodness-Fit Indices) | Measured Values | |||
|---|---|---|---|---|
| Estimation for Initial Model | Estimation for Model 1 | Estimation for Model 2 | Estimation for Model 3 | |
| χ2/degree of freedom (D | 1.600 | 1.598 | 1.662 | 1.696 |
| Comparative fit index (CFI) | 0.944 | 0.948 | 0.939 | 0.936 |
| Normal fit index (NFI) | 0.868 | 0.891 | 0.863 | 0.860 |
| Root mean square error of approximation (RMSEA) | 0.055 | 0.052 | 0.058 | 0.060 |