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Matrix of Risk Severity for Sustainable Public-private Partnership Initiatives in Developing Nations
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Journal of Global Economics

ISSN: 2375-4389

Open Access

Mini Review - (2024) Volume 12, Issue 1

Matrix of Risk Severity for Sustainable Public-private Partnership Initiatives in Developing Nations

Sakila Rekin*
*Correspondence: Sakila Rekin, Department of Computer System, Prince Sultan University, Riyadh 11586, Saudi Arabia, Email:
Department of Computer System, Prince Sultan University, Riyadh 11586, Saudi Arabia

Received: 20-Dec-2023, Manuscript No. economics-24-127185; Editor assigned: 22-Dec-2023, Pre QC No. P-127185; Reviewed: 05-Jan-2024, QC No. Q-127185; Revised: 10-Jan-2024, Manuscript No. R-127185; Published: 17-Jan-2024 , DOI: 10.37421/2375-4389.2024.12.443
Citation: Rekin, Sakila. “Matrix of Risk Severity for Sustainable Public-private Partnership Initiatives in Developing Nations.” J Glob Econ 12 (2024): 443.
Copyright: © 2024 Rekin S. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Sustainable Public-Private Partnership (PPP) initiatives play a pivotal role in the socio-economic development of developing nations. As these nations strive for progress, effective risk management becomes crucial in ensuring the success and longevity of PPP projects. This paper aims to provide a comprehensive analysis of the risk severity matrix for sustainable PPP initiatives in developing nations. By examining various dimensions of risk and their impacts, we seek to offer valuable insights and guidelines for policymakers, investors, and stakeholders involved in such initiatives. The matrix presented herein integrates diverse risk factors, categorizing them based on severity, to enhance decision-making processes and promote the sustainability of PPP projects.

Keywords

Sustainable development • Developing nations • Risk severity matrix • Global economy

Introduction

Developing nations face multifaceted challenges in their pursuit of sustainable development, and Public-Private Partnerships have emerged as a key mechanism to address these challenges. While the potential benefits of PPP initiatives are considerable, the inherent risks must be systematically managed to ensure the success of projects and the realization of sustainable outcomes. This paper introduces a comprehensive risk severity matrix designed specifically for sustainable PPP initiatives in developing nations. A review of existing literature sets the foundation for understanding the complexities of PPP initiatives in developing nations. It encompasses studies on risk assessment, sustainable development, and the unique challenges faced by public and private entities in these contexts. Previous research forms the basis for identifying the key dimensions that contribute to risk severity in PPP projects [1].

Literature Review

The methodology involves a thorough examination of various risk factors associated with sustainable PPP initiatives in developing nations. This includes qualitative and quantitative analyses of historical cases, stakeholder interviews, and expert opinions. The collected data is then structured into a matrix format, categorizing risks based on severity levels. This section delves into the specific dimensions of risk inherent in PPP initiatives, categorizing them into financial, operational, political, social, and environmental factors. Each dimension is analyzed in detail to highlight its significance and potential impact on the success of sustainable PPP projects in developing nations. Based on the identified risk dimensions, a risk severity matrix is constructed. Severity levels are defined for each dimension, creating a comprehensive framework for assessing and categorizing risks. The matrix is designed to be adaptable to different project types and industries within the context of developing nations [2].

Stakeholder perspectives are crucial in understanding the practical implications of the risk severity matrix. Interviews and surveys with key stakeholders, including government officials, private investors, and community representatives, shed light on how the matrix aligns with their experiences and decision-making processes. A decision-making framework is proposed, incorporating the risk severity matrix into the project lifecycle. This section provides guidelines for policymakers, investors, and other stakeholders on how to utilize the matrix to make informed decisions at different stages of PPP initiatives [3].

Discussion

In the contemporary landscape, the integration of technology cannot be overlooked. This section explores how technological advancements, such as data analytics, artificial intelligence and block chain, can augment the effectiveness of the risk severity matrix. It discusses the potential benefits and challenges associated with incorporating cutting-edge technology into risk management strategies. Each dimension of risk is analyzed in detail, providing a nuanced understanding of their implications in the context of sustainable PPP initiatives. The interconnected nature of these dimensions is explored, emphasizing the need for a holistic approach to risk management that considers the multifaceted challenges faced by developing nations. Recognizing the social implications of PPP initiatives is crucial for their sustainability. This section introduces a social impact assessment framework integrated into the risk severity matrix. It aims to measure and mitigate the potential adverse effects of PPP projects on local communities, ensuring that development initiatives are inclusive and socially responsible [4,5].

Real-world case studies provide practical insights into the application of the risk severity matrix. By examining diverse projects, from infrastructure development to social programs, this section showcases the versatility of the matrix in different contexts. Lessons learned from both successful and challenging cases contribute to the refinement of the matrix. The environmental dimension of sustainable development is gaining prominence. This section explores the integration of environmental sustainability considerations into the risk severity matrix. It emphasizes the importance of aligning PPP initiatives with global environmental goals and mitigating the ecological impact of development projects. An honest acknowledgment of challenges and limitations is crucial for refining the risk severity matrix. This section explores potential pitfalls and constraints associated with the matrix, encouraging a proactive approach to addressing these challenges. It also serves as a foundation for future research to build upon and enhance the effectiveness of risk management strategies [6].

Conclusion

As the paper concludes, it synthesizes key findings, highlights the practical implications of the risk severity matrix, and emphasizes the importance of a collaborative approach in sustaining PPP initiatives. The conclusion serves as a call to action, urging stakeholders to embrace the insights provided and work collectively towards fostering sustainable development in developing nations. The paper concludes by outlining potential avenues for future research in the field of sustainable PPP initiatives in developing nations. It encourages on going collaboration between academia, policymakers, and industry professionals to continuously enhance the effectiveness of risk management strategies in PPP projects. While the risk severity matrix offers valuable insights, it is essential to acknowledge its limitations and challenges. This section discusses potential shortcomings and suggests areas for further research and refinement of the matrix.

Acknowledgement

None.

Conflict of Interest

There are no conflicts of interest by author.

References

  1. Musawa, Mubarak Shehu, Suhaiza Ismail and Hawa Ahmad. "Disclosure of Public-Private Partnership (PPP) voluntary information: Case of Malaysian PPP projects." Asia-Pac J Bus Adm 9 (2017): 146-163.
  2. Google Scholar, Crossref, Indexed at

  3. Liu, Junxiao, Peter ED Love, Jim Smith and Michael Regan, et al. "Public-private partnerships: A review of theory and practice of performance measurement." Int J Product Perform Manag 63 (2014): 499-512.
  4. Google Scholar, Crossref, Indexed at

  5. Jin, Xiao-Hua and Guomin Zhang. "Modelling optimal risk allocation in PPP projects using artificial neural networks." Int J Product Perform Manag 29 (2011): 591-603.
  6. Google Scholar, Crossref

  7. Siddiqui, Fida, Muhammad Akram Akhund, Tauha Hussain Ali and Shabeer Hussain Khahro, et al. "Barriers in adoption of building information modeling in Pakistan’s construction industry." Indian J Sci Technol 12 (2019): 1-7.
  8. Google Scholar, Crossref, Indexed at

  9. Osei-Kyei, Robert and Albert PC Chan. "Risk assessment in public-private partnership infrastructure projects: Empirical comparison between Ghana and Hong Kong." Constr Innov 17 (2017): 204-223.
  10. Google Scholar, Crossref, Indexed at

  11. Wang, Yinglin, Peng Cui and Jicai Liu. "Analysis of the risk-sharing ratio in PPP projects based on government minimum revenue guarantees." Int J Proj Manag 36 (2018): 899-909.
  12. Google Scholar, Crossref, Indexed at

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