四新赋能
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改造项目效率平均提升30%,广东力推传统产业“四新”赋能
Nan Fang Du Shi Bao· 2025-06-21 03:15
Core Viewpoint - Guangdong province is intensifying efforts to empower traditional industries through the application of new technologies, processes, materials, and equipment, which is crucial for the transformation and upgrading of the manufacturing sector [1][4]. Group 1: Traditional Industry Significance - Traditional industries in Guangdong account for over 70% of the added value of above-scale manufacturing, 65% of tax revenue, and 75% of employment, highlighting their critical role in the industrial economy [1]. - Upgrading traditional industries is essential for solidifying the manufacturing base and developing new productive forces [1]. Group 2: Financial Support and Collaboration - China Construction Bank's Guangdong branch introduced comprehensive financial solutions for enterprise technological transformation, providing specialized loans totaling 960 million yuan for equipment updates and technology improvements [2]. - Collaboration among research institutions, financial entities, and enterprises is emphasized to enhance the application of new technologies in traditional industries [1][2]. Group 3: Technological Pathways - The "Five Modernizations" approach proposed by South China University of Technology focuses on standardization, modularization, integration, systematization, and process optimization to facilitate AI integration in manufacturing [2][3]. - AI models can enhance production efficiency and provide management support in decision-making, compliance, marketing, and cultural heritage [3]. Group 4: Policy and Future Directions - The Guangdong provincial government plans to release a work plan for "Four New" empowerment in traditional industries, targeting sectors such as petrochemicals, steel, non-ferrous metals, construction materials, machinery, automotive, light industry, and textiles [4]. - Recent projects have shown an average production capacity increase of 10%, product qualification rate improvement of 6%, production cost reduction of 8%, and production efficiency enhancement of 30% post-transformation [3].