传统产业升级“加速器”：新质生产力的三大内在逻辑与四大实践路径

Core Viewpoint - Traditional industries are a crucial part of China's economy and modernization efforts, and their transformation and upgrading are essential for adapting to technological revolutions and enhancing supply chain resilience [1][3]. Group 1: Internal Logic of Empowering Traditional Industries - Revolutionary breakthroughs in key technologies drive the iteration of production paradigms, with digital, intelligent, and green technologies transforming traditional production methods [3][10]. - The application of data, technology, and talent as new production factors can optimize and upgrade traditional industry structures, enabling a shift from experience-driven to data-driven production [3][10]. Group 2: Value Creation Model Reconstruction - New quality productivity fosters cross-industry integration, breaking traditional boundaries and creating new business models, such as smart manufacturing and smart agriculture [4][11]. - The deep integration of traditional industries with modern services enhances the value chain, extending it into high-value areas like R&D and lifecycle management [4][11]. Group 3: Pathways for Transformation and Upgrading - Focusing on high-end development, the industry should strengthen foundational innovation and enhance the supply capacity of high-end products, aiming for international competitiveness [5][12]. - Emphasizing intelligent transformation, the industry should accelerate the construction of new infrastructure and support digital and intelligent upgrades in traditional sectors [6][13]. - Promoting green transformation involves establishing a clean and low-carbon production system, enhancing resource recycling, and implementing green manufacturing practices [7][14]. Group 4: New Ecosystem of Cross-Industry Cooperation - Deepening integration between traditional industries and digital economies can foster new business models, such as platform economies and supply chain finance [8][15]. - The development of service-oriented manufacturing should be promoted, transitioning from pure manufacturing to a model that combines manufacturing with services [8][15]. - Encouraging cross-application of technologies like AI and big data can enhance traditional industries' quality and efficiency through collaborative innovation [8][15].