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Abadou, Y, Kettab, R and Ghreib, A (2018) Experimental investigation on the carbonation properties of dune sand ceramic waste mortar. Journal of Engineering, Design and Technology, 16(03), 501–16.

Adamtey, S and Onsarigo, L (2018) Analysis of pipe-bursting construction risks using probability-impact model. Journal of Engineering, Design and Technology, 16(03), 461–77.

Aluko, R O, Daniel, E I, Shamsideen Oshodi, O, Aigbavboa, C O and Abisuga, A O (2018) Towards reliable prediction of academic performance of architecture students using data mining techniques. Journal of Engineering, Design and Technology, 16(03), 385–97.

Dadashnejad, A and Valmohammadi, C (2018) Investigating the effect of value stream mapping on operational losses: a case study. Journal of Engineering, Design and Technology, 16(03), 478–500.

Faccio, M, Gamberi, M, Nedaei, M and Pilati, F (2018) Technical and economic modelling and evaluation of a water distribution system equipped with an autoclave for industrial production applications. Journal of Engineering, Design and Technology, 16(03), 342–59.

Hassan, O A and Johansson, C (2018) Glued laminated timber and steel beams. Journal of Engineering, Design and Technology, 16(03), 398–417.

Olanrewaju, A and Tan, S Y (2018) An exploration into design criteria for affordable housing in Malaysia. Journal of Engineering, Design and Technology, 16(03), 360–84.

Othman, A A E and Elsaay, H (2018) A learning-based framework adopting post occupancy evaluation for improving the performance of architectural design firms. Journal of Engineering, Design and Technology, 16(03), 418–38.

Owusu-Manu, D, Kukah, A, Edwards, D J, Pärn, E A, El-Gohary, H and Aigbavboa, C (2018) Causal relationships of moral hazard and adverse selection of Ghanaian Public-Private-Partnership (PPP) construction projects. Journal of Engineering, Design and Technology, 16(03), 439–60.

  • Type: Journal Article
  • Keywords: Moral hazard; Adverse selection; Structural equation modelling (SEM); Causal relationships; Public–private partnership (PPP);
  • ISBN/ISSN: 1726-0531
  • URL: https://doi.org/10.1108/JEDT-12-2017-0137
  • Abstract:
    The purpose of this paper was to assess the causal relationship(s) between moral hazard and adverse selection of public–private partnership (PPP) construction projects. Structural equation modelling (SEM) was used to explore the cause and effect relationship between moral hazard and adverse selection problems in PPP construction projects in Ghana. The study produced a framework to predict, estimate and depict the complex causal relationships (i.e. the directionality) between moral hazard and adverse selection. Design/methodology/approach To test the proposed framework, a quantitative methodology was used, in which, data were collected using research questionnaires that targeted a sample of 280 PPP stakeholders in Ghana. In total, 210 useable questionnaires were retrieved, representing a response rate of 75 per cent. Findings The interrelationships between the eight causes and the nine effects of moral hazard and adverse selection were established using the model. The tested framework showed the degree of association and isolation of the unobserved variables on the indicator factors. Confirmatory factor analysis (CFA) was used to evaluate the fit of items to latent constructs. Because the fit of each model was good and the item loadings were adequate, it was assumed that the indicators of the different variables factors were fitting. Furthermore, a diagnostic fit analysis was conducted using the robust maximum likelihood method to test the statistical significance of the parameter estimates. Practical implications This novel research is one of the few studies investigating the causal relationships between moral hazard and adverse selection of PPP construction projects. The research concluded with future studies that seek to validate the model developed in other countries and/or other industries. Originality/value The research findings will serve as a guide for construction stakeholders in the PPP sector on the causes and effects of adverse selection and moral hazard and how to mitigate these.