This paper centers on the critical themes of risks and corresponding control measures within project investment management, a domain vital to safeguarding investment returns and ensuring project success. It begins by thoroughly expounding the core aspects of systematic management methods, which serve as the foundational frameworkspecifically covering risk identification (the initial step to pinpoint potential hazards), scientific risk assessment and in-depth analysis (to quantify risk severity and impact), and targeted response strategies (to formulate proactive plans). On this basis, the study systematically sorts out six key categories of specific risks: those arising in the decision-making stage (e.g., flawed feasibility studies), market fluctuations, capital shortages or misallocation, policy adjustments, unpredictable external environmental changes (such as natural disasters), and inadequate management capabilities. It further analyzes how these risks interact to produce a superposition effect, amplifying potential losses. Finally, it proposes whole-process control measures across three key linkspre-risk prevention, in-process monitoring and control, and post-event response and mitigationoffering practical, actionable ideas to enhance the investment efficiency of engineering projects. Additionally, it looks ahead to the future trend of risk management amid digitalization, hinting at tech-driven advancements like data analytics for risk prediction.
Ying Zhao (Tue,) studied this question.