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Ahmad, H S, Ayoush, M D and Al-Alwan, M S (2019) Causes of delay to public infrastructure projects according to engineers representing different contract parties. Built Environment Project and Asset Management, 10(01), 153–79.

Aibinu, A A, Carter, S, Francis, V and Vaz-Serra, P (2019) Request for information frequency and their turnaround time in construction projects. Built Environment Project and Asset Management, 10(01), 1–15.

Ershadi, M J, Edrisabadi, R and Shakouri, A (2019) Strategic alignment of project management with health, safety and environmental management. Built Environment Project and Asset Management, 10(01), 78–93.

Eyiah-Botwe, E, Aigbavboa, C O and Thwala, W D (2019) Curbing PPP construction projects’ failure using enhanced stakeholder management success in developing countries. Built Environment Project and Asset Management, 10(01), 50–63.

Jalali, A, Hidzir, N I, Jaafar, M and Dahalan, N (2019) Factors that trigger bullying amongst subcontractors toward intention to quit in the construction projects. Built Environment Project and Asset Management, 10(01), 140–52.

Liu, S, Jin, H, Liu, C, Xie, B and Mills, A (2019) Investment apportionments among participants of PPP rental retirement villages. Built Environment Project and Asset Management, 10(01), 64–77.

  • Type: Journal Article
  • Keywords: Investment; Pension fund; Allocation models; Mean variance; Public–private partnership; Rental retirement village;
  • ISBN/ISSN: 2044-124X
  • URL: https://doi.org/10.1108/BEPAM-02-2019-0018
  • Abstract:
    The purpose of this paper is to examine public–private partnership (PPP) approaches for the construction of rental retirement villages in Australia and to allocate the investment proportions under a certain project return rate among three investors which are the government, private sectors and pension funds. The apportionment will achieve a minimum overall investment risk for the project. Design/methodology/approach Capital structure, particularly determination of investment apportionment proportions, is one of the key factors affecting the success of PPP rental retirement villages. Markowitz mean-variance model was applied to examine the investment allocations with minimum project investment risks under a certain projected return rate among the PPP partners for the construction of rental retirement villages. Findings The research findings validate the feasibility of the inclusion of pension funds in the construction of PPP rental retirement villages and demonstrate the existence of relationships between the project return rate and the investment allocation proportions. Originality/value This paper provides a quantitative approach for determination of the investment proportions among PPP partners to enrich the theory of PPP in relation to the construction of rental retirement villages. This has implications for PPP partners and can help these stakeholders make vital contributions in developing intellectual wealth in the PPP investment area while providing them with a detailed guide to decision making and negotiation in relation to investment in PPP rental retirement villages.

Owolabi, H, Oyedele, L, Alaka, H, Ajayi, S, Bilal, M and Akinade, O (2019) Risk mitigation in PFI/PPP project finance. Built Environment Project and Asset Management, 10(01), 28–49.

Rethnam, O R, Palaniappan, S and Ashokkumar, V (2019) Life cycle cost analysis of 1MW power generation using roof-top solar PV panels. Built Environment Project and Asset Management, 10(01), 124–39.

Sayed, A M, Assaf, S, Aldosary, A S, Hassanain, M A and Abdallah, A (2019) Drivers of e-bidding implementation in the Saudi Arabian construction industry. Built Environment Project and Asset Management, 10(01), 16–27.

Tennakoon, G, Waidyasekara, A and Ekanayake, B (2019) Revisiting the role of professionals in designing buildings with low embodied and operational energy. Built Environment Project and Asset Management, 10(01), 110–23.

Ugulu, R A, Arewa, A and Allen, S (2019) Project-specific constraints influencing productivity of tradespeople in the Nigerian construction industry. Built Environment Project and Asset Management, 10(01), 94–109.