Toward the attainment of climate-smart PPP infrastructure projects: a critical review and recommendations

Akomea-Frimpong, Isaac; Agyekum, Amma Kyewaa; Amoakwa, Alexander Baah; Babon-Ayeng, Prosper; Pariafsai, Fatemeh

doi:10.1007/s10668-023-03464-x

Cited by 3 publications

(1 citation statement)

References 114 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Similarly, the policies and programs of sustainability when renovating and improving the lifespan of existing PPP-built infrastructures are aimed at meeting the social needs of society and preserving environmental resources [16]. There is also a growing global recognition of the need to consider the integration of sustainability and eco-friendly designs into infrastructure projects delivered through public-private partnerships (PPPs) [17]. The successful implementation of sustainable measures in infrastructural projects is considered an important strategy for attaining sustainability [18].…”

Section: Literature Review 21 Sustainable Public-private Partnership ...mentioning

confidence: 99%

Fuzzy Analysis of Financial Risk Management Strategies for Sustainable Public–Private Partnership Infrastructure Projects in Ghana

Akomea-Frimpong,

Jin,

Osei-Kyei

2024

Infrastructures

Self Cite

View full text Add to dashboard Cite

Public–private partnership (PPP) is a prominent tool for sustainable infrastructure development. However, the positive contributions of PPPs toward the attainment of sustainable, climate resilience and zero-carbon infrastructure projects are hampered by poor financial risk management. This problem is more prevalent in developing countries like Ghana where private investment inflow has plummeted due to the COVID-19 recession and poor project performance. Thus, this study aims to assess the key financial risk management strategies in ensuring sustainable PPP infrastructure projects in Ghana. The study utilised primary data from PPP practitioners in Ghana solicited through survey questionnaires. Factor analysis, mean scores and fuzzy synthetic analysis are the data analysis techniques for this study. The results revealed that sustainable and green funding models, effective cost-reduction initiatives, a competent team with committed leadership and emerging technologies and regulations constitute the key strategies for managing the financial risks of sustainable PPP infrastructure projects. Although future studies must expand the scope of data gathering, the findings of the study enrich the theoretical understanding of financial risks in sustainable investments in PPP infrastructures. Relevant remedies that will aid the development of practical financial risk management guidelines are also provided in this study for PPP practitioners.

show abstract

Section: Literature Review 21 Sustainable Public-private Partnership ...mentioning

confidence: 99%

Fuzzy Analysis of Financial Risk Management Strategies for Sustainable Public–Private Partnership Infrastructure Projects in Ghana

Akomea-Frimpong,

Jin,

Osei-Kyei

2024

Infrastructures

Self Cite

View full text Add to dashboard Cite

show abstract

A systematic review of artificial intelligence in managing climate risks of PPP infrastructure projects

Akomea-Frimpong,

Dzagli,

Eluerkeh

et al. 2023

ECAM

View full text Add to dashboard Cite

PurposeRecent United Nations Climate Change Conferences recognise extreme climate change of heatwaves, floods and droughts as threatening risks to the resilience and success of public–private partnership (PPP) infrastructure projects. Such conferences together with available project reports and empirical studies recommend project managers and practitioners to adopt smart technologies and develop robust measures to tackle climate risk exposure. Comparatively, artificial intelligence (AI) risk management tools are better to mitigate climate risk, but it has been inadequately explored in the PPP sector. Thus, this study aims to explore the tools and roles of AI in climate risk management of PPP infrastructure projects.Design/methodology/approachSystematically, this study compiles and analyses 36 peer-reviewed journal articles sourced from Scopus, Web of Science, Google Scholar and PubMed.FindingsThe results demonstrate deep learning, building information modelling, robotic automations, remote sensors and fuzzy logic as major key AI-based risk models (tools) for PPP infrastructures. The roles of AI in climate risk management of PPPs include risk detection, analysis, controls and prediction.Research limitations/implicationsFor researchers, the findings provide relevant guide for further investigations into AI and climate risks within the PPP research domain.Practical implicationsThis article highlights the AI tools in mitigating climate crisis in PPP infrastructure management.Originality/valueThis article provides strong arguments for the utilisation of AI in understanding and managing numerous challenges related to climate change in PPP infrastructure projects.

show abstract

Mitigating Financial Risks in Sustainable Public–Private Partnership Infrastructure Projects: A Quantitative Analysis

Akomea-Frimpong,

Jin,

Osei-Kyei

2024

Systems

View full text Add to dashboard Cite

Economic recession from the coronavirus outbreak continues to have negative rippling effects on local and international financial investments in public–private partnership (PPP) projects in Ghana, a developing country. Together with poor reports on operating cash-inflows for PPP projects such as those covering schools, hospitals, railways, fishing harbors, cocoa warehouses, recreational parks and affordable housing, there is an urgent need to develop and institutionalise sustainable and robust financial risk management measures. These measures are meant to mitigate financial losses, promote sustainability practices and prolong the longevity of infrastructure developments within PPP pacts. Therefore, this study aims to assess the mitigation measures of PPP infrastructure management in Ghana. Primary data from survey questionnaires were utilised in this study, with the data obtained from PPP practitioners and experts. Data were grouped into project type, sectors and practitioners of PPP projects to aid the analysis using tools such as the Kruskal–Wallis test, the Mann–Whitney U test and factor analysis. The results demonstrate sustainable and green finance, the innovative skills and competencies of project teams, green financial risk models and inclusive cost reduction strategies as crucial to minimising financial risks in PPP project delivery. These findings have significant implications for PPP practitioners and researchers in Ghana and similar developing countries to understand and develop measures to respond to financial risks for sustainable PPP project development and future research studies.

show abstract

Toward the attainment of climate-smart PPP infrastructure projects: a critical review and recommendations

Cited by 3 publications

References 114 publications

Fuzzy Analysis of Financial Risk Management Strategies for Sustainable Public–Private Partnership Infrastructure Projects in Ghana

Fuzzy Analysis of Financial Risk Management Strategies for Sustainable Public–Private Partnership Infrastructure Projects in Ghana

A systematic review of artificial intelligence in managing climate risks of PPP infrastructure projects

Mitigating Financial Risks in Sustainable Public–Private Partnership Infrastructure Projects: A Quantitative Analysis

Contact Info

Product

Resources

About