Exploring influencing factors for private sector participation in PPP power projects: case of Ghana

Abstract

Purpose Demand for private investment in infrastructure, notably in the power sector remains high, and this is anticipated to expand with the passage of time. Very little research currently exists on the power sector and specifically the private sector influencing factors (PSIFs) for entering into public–private partnerships (PPPs). The purpose of this study is to explore influencing factors for private sector participation in PPP power projects in Ghana. Design/methodology/approach Using purposive and snowball sampling techniques, questionnaires were used to gather responses from experts in the PPP power sector domain in a two-round Delphi survey. Reliability analysis was conducted using Cronbach’s alpha coefficient and level of agreement tested using Kendall’s concordance. Mean score ranking, analysis of variance (ANOVA) and Chi-square test were the main analysis conducted on the influencing factors. Findings The most significant PSIFs were: obtaining of investment support; improvement in private sector’s international image; synergy with public sector; sharing of risks; and gaining of profits. From ANOVA results, all the influencing factors had no significant different perception between the number of years in PPP practice and the motivations for the private sector entering into PPP power projects. Using Chi-square, the association between the variables indicated they were statistically significant. Practical implications The findings in this study are significant for multinational power generation firms that seek to enter the Ghanaian energy sector to help fill the generation gap and deficit. Originality/value The output of this research contributes to the checklist of influencing factors for private sector participation in PPP power projects and enhances the development of PPP practice.

Modelling the domino effect of advance payment system on project cash flow and organisational performance

“…The epistemological design adopted positivism augmented by deductive reasoning to quantitatively explore the phenomena under investigation (cf. Edwards et al, 2020;Quaigrain et al, 2022;Kukah et al, 2022). Primary data were collected using an on-line questionnaire survey (via Survey Monkey) from grade 1-9 contractors contained within the South African Construction Industry Development Board (CIDB) list of members with experience of APS.…”

Fuzzy quantitative risk allocation model (FQRAM) to guide decision-making on risk allocation in Ghanaian public-private partnership (PPP) power projects

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Structural equation model (SEM) for evaluating interrelationships among risks inherent in Ghanaian public–private partnership (PPP) power projects

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