Corruption, Infrastructure Management and Public–Private Partnership

Optimizing through Mathematical Models

Mohammad Heydari, Kin Keung Lai, Zhou Xiaohu

• Publisher: Routledge
• Year: 2021
• eBook ISBN: 9781000465938
• Topic: Mathematics
• Subtopic: Business General
• Index: Mathematics

Public–Private Partnerships (PPP or 3Ps) allow the public sector to seek alternative funding and expertise from the private sector during procurement processes. Such partnerships, if executed with due diligence, often benefit the public immensely. Unfortunately, Public–Private Partnerships can be vulnerable to corruption. This book looks at what measures we can put in place to check corruption during procurement and what good governance strategies the public sector can adopt to improve the performance of 3Ps.

The book applies mathematical models to analyze 3Ps. It uses game theory to study the interaction and dynamics between the stakeholders and suggests strategies to reduce corruption risks in various 3Ps stages. The authors explain through game theory-based simulation how governments can adopt a evaluating process at the start of each procurement to weed out undesirable private partners and why the government should take a more proactive approach.

Using a methodological framework rooted in mathematical models to illustrate how we can combat institutional corruption, this book is a helpful reference for anyone interested in public policymaking and public infrastructure management.

Table of contents

• Cover
• Half-Title
• Series
• Title
• Copyright
• Contents
• List of illustrations
• Preface
• 1 Risk management, corruption, and game theory in Public–Private Partnership
• 2 Corruption and its impact on government policies and evaluating Public–Private Partnership
• 3 Game theory approach to corruption in Public–Private Partnership
• 4 Decision-making criteria for selecting and evaluating Public–Private Partnerships: Case studies
• 5 Investment decision and corruption
• 6 Public–Private Partnership for infrastructure and combating corruption
• References
• Index