程实：从经济学原理看“内卷”困境与“反内卷”路径

Core Viewpoint - The term "involution" reflects a superficial price war among companies, but its deeper essence lies in the imbalance of value creation models [1] Economic Roots of "Involution" - Price discrimination and market segmentation failure are significant inducements for "involution," where companies fail to effectively cover high willingness-to-pay consumer groups, leading to increased price sensitivity among overall consumers [2] - Supply-demand imbalance exacerbates the spread of price wars, as excessive competition can lead to oversupply, causing prices to drop below costs and overall industry profit levels to decline [3] - Unsustainable pricing below average variable costs (AVC) further weakens companies' competitive resilience, as long-term pricing strategies must cover both AVC and average costs (AC) to ensure profitability and support reinvestment [3] Economic Logic of "Anti-Involution" - "Anti-involution" is not a denial of competition but a restructuring of competitive frameworks, focusing on value creation rather than low-dimensional price competition [4] - Key paths include restoring pricing power, achieving supply-demand matching, and returning to cost-based pricing, which are interrelated and form the internal logic of "anti-involution" [4] Transition from "Involution" to "Creation" - Companies need to build a comprehensive competitive system based on precise pricing, driven by technological innovation and brand building, to shift from passive consumption to active creation [6] - Technological innovation is fundamental for long-term competitiveness, allowing companies to shift focus from price comparison to performance, quality, and experience [6] - Brand building and emotional premium can enhance pricing power, as consumers are willing to pay for recognition and values [6] - Cross-industry collaboration and supply chain cooperation can help the industry escape inefficient competition by reducing redundant investments and improving resource utilization [6] - Digital empowerment through big data and AI can support precise pricing and demand forecasting, reducing the risk of excessive competition [7]