Core Insights - The article discusses the transformation of capital movement in the digital age, emphasizing the shift from traditional methods to a near real-time, globally interconnected "light-speed closed loop" due to advancements in technologies like blockchain, AI, and IoT [1][3]. Theoretical Foundation - Marx's analysis of capital movement includes three forms: monetary capital circulation (G-W...P...W'-G'), production capital circulation (P...W'-G'-W...P), and commodity capital circulation (W'-G'-W...P...W'). The efficiency of capital movement is determined by turnover time, with shorter times leading to higher annual surplus value rates [2]. - The successful reproduction of social total capital relies on maintaining proportional relationships between the two main classes of production, as any imbalance can lead to economic crises [2]. Micro Circulation Acceleration - Digital technology has significantly compressed capital turnover time and optimized social production ratios, leading to a "digital leap" in capital movement [3]. - **Production Cycle (G-W...P)**: Companies like SHEIN utilize data analytics and AI to minimize inventory, achieving a turnover time of just 7 days compared to the traditional 180 days in the apparel industry, thus reducing capital occupancy in production [5]. - **Circulation Cycle (W'-G')**: Blockchain technology has streamlined cross-border payments, reducing transaction times from 7-10 days to under 4 hours, with a 40% reduction in fees, enhancing the speed of capital transformation [6]. - **Reproduction Cycle (G'-G)**: The C2M model allows for real-time feedback from consumer data, enabling rapid product iteration and efficient capital cycles, creating a self-optimizing "light-speed closed loop" [7]. Macro Circulation Structural Imbalance - The micro-efficiency revolution does not guarantee macro-level stability and may exacerbate structural contradictions [8]. - **Virtual Economy Expansion**: The global financial derivatives market has reached 8.2 times the size of the real economy, driven by AI quantitative trading, which can lead to systemic risks during market volatility [9]. - **Ecological Costs of Capital Movement**: Bitcoin mining consumes more electricity annually than Sweden, highlighting the environmental impact of high-energy capital movement models [10]. - **Global Value Chain Fragmentation**: Geopolitical factors hinder the optimal allocation of resources, as seen in the U.S. policies that force companies to relocate manufacturing, disrupting global supply chains [12]. China's Coordinated Practice - China’s governance practices aim to balance the efficiency and risks associated with accelerated capital movement [13]. - **Technological Empowerment**: Initiatives like the "East Data West Computing" project optimize resource allocation and reduce costs, enhancing macro movement efficiency [13]. - **Regulatory Frameworks**: The introduction of mechanisms like the "regulatory sandbox" aims to prevent disorderly capital expansion and ensure that financial technology serves the real economy [13]. - **Process Reengineering**: The "digital port" system has significantly reduced customs clearance times and created profit-sharing mechanisms for stakeholders, promoting equitable benefits from capital movement [13].