上海先进制造业转型文件出炉,引导企业投资五大新增长点
Di Yi Cai Jing·2026-01-11 12:12

Core Insights - Shanghai aims to accelerate the transformation and upgrading of its advanced manufacturing industry over the next three years, targeting the establishment of 100 new manufacturing enterprises with an annual output value exceeding 1 billion yuan by 2028 [2] - The plan emphasizes the development of emerging sectors such as low-altitude economy, commercial aerospace, embodied intelligence, biomanufacturing, and smart terminals, positioning them as new growth points for the industry [2][3] Group 1: Advanced Manufacturing Transformation - The action plan outlines structural optimization and upgrading actions, including enhancing traditional industries and promoting the growth of key and emerging sectors [2] - Shanghai has established five national-level industrial clusters and four trillion-yuan industrial clusters, focusing on integrated circuits, biomedicine, new energy vehicles, large aircraft, and marine engineering equipment [2][3] Group 2: New Growth Areas - The plan identifies five new growth areas: low-altitude economy, commercial aerospace, embodied intelligence, biomanufacturing, and smart terminals, with a goal for these sectors to reach a scale of 1 trillion yuan by the end of the 14th Five-Year Plan [3] - Specific targets include achieving a scale of 100 billion yuan in the low-altitude economy and 500 billion yuan in embodied intelligence by 2027, with projections of 1 trillion yuan by 2030 for the latter [3][4] Group 3: Financial Support and Innovation - The plan includes financial incentives for companies increasing their R&D investments, with subsidies ranging from 200,000 to 1 million yuan based on the level of investment [5] - It also promotes the "AI + manufacturing" initiative, aiming for full coverage of intelligent applications in large enterprises by 2027 and increasing robot density to 600 units per 10,000 people by 2028 [5][6] Group 4: Industrial Ecosystem and Talent Development - The Shanghai Industrial Internet Association emphasizes the need for collaboration among government, industry, academia, and research to tackle challenges in the "AI + manufacturing" sector [6] - The initiative aims to build a comprehensive standard system for "AI + manufacturing" and enhance the cultivation of industrial intelligent talent [6]