Submitted:
28 May 2025
Posted:
30 May 2025
You are already at the latest version
Abstract
Keywords:
1. Introduction
2. Theoretical Background
2.1. CIE and sustainable industrial waste management
2.2. Sustainable Reverse Logistics Theory
2.3. Empowering PPP to support sustainable waste management in the UAE
2.4. PPP as a Mutualistic Strategy for PH Towards a Sustainable Future
3. Hypotheses Development
3.1. The Role of PPP in ESW
3.2. The Role of PPP in CIE
3.3. The Role of Sustainable Waste Management in CIE
4. Materials and Methods
4.1. Methods and Procedures
4.2. Selection criteria
5. Results
5.1. External Model reliability and validity testing
5.2. Internal Model structure and hypotheses testing
6. Discussion and Conclusions
6.1. Theoretical Contribution
6.2. Practical Implications
6.3. Limitations and Future Research
Funding
Data Availability Statement
Acknowledgements
Conflicts of Interest
Abbreviations
| UAE | United Arab Emirates |
| PH | Planetary Health |
| PPP | Public-Private Partnership |
| PLS-SEM | Partial Least Square Structural Equation Modelling |
| CO-SEM | Covariance-based Structural Equation Modelling |
| SDGs | Sustainable Development Goals |
| SRL | Sustainable Reverse Logistics |
| AMPD | Ajman Municipality and Planning Department |
| SIDS | Small Island Developing States |
| CIE | Circular Industry Economy |
| ESW | Economic Sustainability of Waste Management |
| KPI | Key Performance Indicators |
| MGA | Multi-group Analysis |
| CR | composite reliability |
| AVE | Average variance extracted |
| HTMT | Heterotrait-monotrait ratio |
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| Construct | Definition | Code | Item | Source |
| Perceived PPP Empowerment in Waste Management | Perceived mechanism or arrangement between a government and private institutions and other entities that offer defined roles and responsibilities in a common socio-economic framework. | PPP1 | The partners engaged in waste management demonstrated competence in their roles and responsibilities. | Ngullie et al., [32] |
| PPP2 | There is transparency in the procurement process when selecting private partners to handle waste management, ensuring the right partners are chosen. | |||
| PPP3 | Appropriate tariff structures and payment mechanisms have been implemented to make waste management a profitable endeavour. | |||
| PPP4 | There is political backing or support for waste management partnerships. | |||
| Perceived economic sustainability of waste management (ESW) | Perceived economic benefits of the transition of resources from the traditional linear model of production to a circular economic model that pursues zero waste generation in all areas of materials, energy and products. | ESW1 | Effective industrial waste management leads to a significant reduction in labour costs. | Patel et al. [43]; Fucio et al. [44] |
| ESW2 | Education is considered crucial for realising the economic benefits of industrial waste management. | |||
| ESW3 | Proper waste management is one of the key drivers behind business transformation in various industries. | |||
| ESW4 | Industries that effectively manage waste can establish distinct price differentials. | |||
| ESW5 | Maintaining a robust reverse chain logistics system, such as using industrial plastic waste as raw materials, enhances the productivity of industries. | |||
| Achieved Circular Industry Economy (CIE) | Perceived existence of an economic system that has closed loops within which raw materials, components and products are re-deployed into the production network to result in as little overall waste as possible. | CIE1 | Industries keep their factory components in good condition to help minimise the production process waste. | Kamble et al. [45] |
| CIE2 | The government incentives for utilising processed waste in product development are deemed satisfactory. | |||
| CIE3 | New technological innovation has been implemented to digest and process waste for the purpose of product development. | |||
| CIE4 | Industries frequently utilise waste materials, which can be incorporated as raw materials after undergoing a short processing stage. | |||
| CIE5 | There is a priority placed on the recycling of waste products. |
| Attributes | Option | Government (n = 111) | Private Business (n = 92) | Industries (n = 160) | ||||||||||
| Number | Proportion | Number | Proportion | Number | Proportion | |||||||||
| Gender | Male | 66 | 59.5% | 55 | 59.8% | 118 | 73.8% | |||||||
| Female | 43 | 38.7% | 30 | 32.6% | 41 | 25.6% | ||||||||
| I prefer not to say | 2 | 1.8% | 7 | 7.6% | 1 | 0.6% | ||||||||
| Age | 18-28 Years | 9 | 8.1% | 8 | 8.7% | 24 | 15.0% | |||||||
| 29-38 Years | 36 | 32.4% | 36 | 39.1% | 56 | 35.0% | ||||||||
| 39-48 Years | 39 | 35.1% | 30 | 32.6% | 53 | 33.1% | ||||||||
| 49-58 Years | 26 | 23.4% | 18 | 19.6% | 26 | 16.3% | ||||||||
| 59 & above | 1 | 0.9% | 0 | 0.0% | 1 | 0.6% | ||||||||
| Management | Top Level Management | 20 | 18.0% | 17 | 18.5% | 32 | 20.0% | |||||||
| Expert | 7 | 6.3% | 11 | 12.0% | 8 | 5.0% | ||||||||
| Employee | 82 | 73.9% | 54 | 58.7% | 116 | 72.5% | ||||||||
| Others (Please Specify) | 2 | 1.8% | 10 | 10.9% | 4 | 2.5% | ||||||||
| Latent Variable | Items | Mean (SD) | Factor loading | Cronbach Alpha | Composite Reliability | AVE |
| PPP | PPP1 | 3.791 (.838) | 0.827 | .747 | .767 | .566 |
| PPP2 | 3.628 (.871) | 0.726 | ||||
| PPP3 | 3.620 (.847) | 0.735 | ||||
| PPP4 | 3.567 (.859) | 0.716 | ||||
| ESW | ESW1 | 2.942 (1.067) | 0.767 | .827 | .833 | .591 |
| ESW2 | 2.959 (1.060) | 0.772 | ||||
| ESW3 | 3.088 (1.023) | 0.789 | ||||
| ESW4 | 2.854 (1.071) | 0.796 | ||||
| ESW5 | 2.909 (1.075) | 0.719 | ||||
| CIE | CIE1 | 3.771 (.892) | 0.771 | .779 | .789 | .531 |
| CIE2 | 3.490 (.887) | 0.743 | ||||
| CIE3 | 3.645 (.897) | 0.658 | ||||
| CIE4 | 3.548 (.889) | 0.725 | ||||
| CIE5 | 3.413 (.904) | 0.740 |
| CIE | ESW | |
| ESW | 0.488 | |
| PPP | 0.501 | 0.175 |
| Hypotheses | Path | Standardised Path Coefficient | T-value (p-value) | Null hypothesis rejected | |||||||||||
| H1 | PPP -> ESW | 0.143 | 2.101 (.036) | Y | |||||||||||
| H2 | PPP -> CIE | 0.339 | 7.144 (***) | Y | |||||||||||
| H3 | ESW -> CIE | 0.352 | 8.028 (***) | Y | |||||||||||
| Bootstrap MGA of difference between government, private businesses, and industries | |||||||||||||||
| Difference |
2-tailed p-value | ||||||||||||||
| Gov- Ind |
Gov- P.Bus |
Ind- P.Bus |
Gov- Ind |
Gov- P.Bus |
Ind- P.Bus |
||||||||||
| H1 | 0.278 | 0.575 | 0.297 | 0.101 | 0.040 | 0.272 | |||||||||
| H2 | 0.188 | 0.273 | 0.086 | 0.075 | 0.073 | 0.621 | |||||||||
| H3 | -0.057 | -0.113 | -0.056 | 0.692 | 0.434 | 0.541 | |||||||||
| P-values of bootstrapping results for government, private businesses and industries | |||||||||||||||
| Gov | Ind | P.Bus | |||||||||||||
| H1 | 0.002 | 0.084 | 0.491 | ||||||||||||
| H2 | 0.000 | 0.000 | 0.138 | ||||||||||||
| H3 | 0.009 | 0.000 | 0.000 | ||||||||||||
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