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Ali, G M, Bouferguene, A and Al-Hussein, M (2023) Crane mat layout optimization based on agent-based greedy and reinforcement-learning approach. Journal of Construction Engineering and Management, 149(08).

Darko, A, Glushakova, I, Boateng, E B and Chan, A P C (2023) Using machine learning to improve cost and duration prediction accuracy in green building projects. Journal of Construction Engineering and Management, 149(08).

Do, Q, Moriyani, M A, Le, C and Le, T (2023) Cost-weighted tf-idf: A novel approach for measuring highway project similarity based on pay items' cost composition and term frequency. Journal of Construction Engineering and Management, 149(08).

Huang, C, Wang, Z K, Li, B, Wang, C, Xu, L S, Jiang, K, Liu, M, Guo, C X, Zhao, X F and Yang, H (2023) Discretized cell modeling for optimal layout of multiple tower cranes. Journal of Construction Engineering and Management, 149(08).

Kar, S and Jha, K N (2023) Examining the effect of material management practices on material availability and waste reduction in construction projects. Journal of Construction Engineering and Management, 149(08).

Leung, M Y, Wei, X and Wang, C (2023) Demystifying critical success factors for applying value management in construction projects along the belt and road regions: Focus group study. Journal of Construction Engineering and Management, 149(08).

Li, Q, Jiang, M, Tao, S, Hao, J and Chong, H Y (2023) The integrated problem of construction project scheduling and multiskilled staff assignment with learning effect. Journal of Construction Engineering and Management, 149(08).

Li, Y, He, N, Zhang, Y, Li, H and Zhang, C (2023) Optimization of capital structure for urban water PPP projects using mezzanine financing: Sustainable perspective. Journal of Construction Engineering and Management, 149(08).

  • Type: Journal Article
  • Keywords: capital structure; mezzanine financing; sustainability; urban water public-private partnership projects
  • ISBN/ISSN: 0733-9364
  • URL: http://doi.org/10.1061/JCEMD4.COENG-12830
  • Abstract:
    An optimal capital structure can minimize financing cost and maximize project value. Most existing studies have focused on the equity-debt financing mode for public-private partnership (PPP) projects, neglecting the usage of mezzanine financing instruments. To bridge the gap, this study constructs a capital structure for urban water PPP projects that uses mezzanine financing called the Urban Water Project Mezzanine Financing (UWPMF) mode. Based on the requirements of sustainability, qualitative and quantitative methods are comprehensively adopted and validate the model using a PPP sewage treatment project in China. The contributions of the study are twofold. First, the introduction of a mezzanine financing tool in the context of a specific industry enriches theoretical research on PPP project financing. Second, sustainability data is included in the capital structure optimization for specific types of PPP projects, providing reference values for promoting the realization of the sustainability goals of PPP projects.

Li, Y, Zhu, L, Xue, R and Han, Y (2023) How policy diffusion influences regional BIM innovation: An empirical study in China. Journal of Construction Engineering and Management, 149(08).

Pooladvand, S and Hasanzadeh, S (2023) Impacts of stress on workers' risk-taking behaviors: Cognitive tunneling and impaired selective attention. Journal of Construction Engineering and Management, 149(08).

Shang, M, Zhang, Y, He, Z, Qiao, H, Liu, X, Feng, Q, Xue, C, Zhang, Y, Su, F, Wang, J, Han, Y and Meng, X (2023) Workability properties of specified density concrete with municipal solid waste incinerator tailings added as a lightweight aggregate. Journal of Construction Engineering and Management, 149(08).

Shrestha, K (2023) Cost comparison of highway rest area operations: In-house workforce versus outsourcing methods. Journal of Construction Engineering and Management, 149(08).

Tan, L, Zhang, Y, Chen, Y and Zhu, T (2023) A multiple-objective decision-support model for lighting maintenance routing considering carbon dioxide emissions and balanced workload. Journal of Construction Engineering and Management, 149(08).