Core Viewpoint - The article emphasizes the importance of balancing development and security while promoting a green and low-carbon energy transition in the context of fluctuating international oil prices and energy security risks [1] Group 1: Systemic Risks in Green Transition - The green transition is a complex systemic change involving the coordination of resource, ecological, and social dimensions, highlighting the interdependence and constraints among these systems [2] - In the resource system, there are three major contradictions: the exponential growth in demand for key resources versus domestic resource constraints, increasing foreign dependence on strategic resources amid geopolitical risks, and the tension between the stability of supply chains and the volatility of resource supply [2] - The ecological system faces increasing pressure, including the approaching climate tipping point, diminishing marginal returns on pollution control, and emerging environmental issues such as the disposal of retired solar panels and batteries [3] - The social system is challenged by vulnerabilities such as labor market restructuring, the resilience of energy systems under extreme weather, and the growing imbalance in regional development [3] Group 2: Spatial and Temporal Heterogeneity of Risks - Systemic risks exhibit significant spatial and temporal heterogeneity, with coastal regions facing resource constraints and central-western regions struggling with industrial transitions [4] - The evolution of risks shows non-linear characteristics, requiring differentiated policies and dynamic adaptation in risk governance [4] Group 3: Big Data in Risk Governance - Traditional risk governance models are limited by fragmented information and delayed responses, while the application of big data can create a new paradigm for risk governance that encompasses perception, monitoring, diagnosis, and response [5][6] - The transformation of risk perception involves establishing a systematic assessment framework using diverse data sources to quantify resource supply-demand gaps and ecological thresholds [5] - Enhanced risk monitoring capabilities are achieved through real-time data processing and AI algorithms, enabling early detection of risks and proactive prevention [6] Group 4: Scientific Coordination of Key Relationships - Balancing development and security is crucial, with big data enabling precise control of dynamic balance among resource, ecological, and social systems [7] - Differentiated governance is essential for managing the relationship between the overall and the local, utilizing big data to implement tailored policies for different regions [8] - The relationship between current and long-term needs requires careful pacing of the transition, supported by data-driven analysis to set realistic goals and provide targeted assistance [9] - Effective collaboration between government and market is necessary for a successful green transition, with big data facilitating transparency and resource optimization [9]
大数据驱动 为绿色转型提供新思路
Jing Ji Guan Cha Bao·2025-09-05 02:53