长江经济带发展是我国区域重大战略。十年来，长江经济带共抓大保护、不搞大开发，优良水质比例从67%提升到96.5%； 地区生产总值翻了一番多、占全国比重提升到47.3%；形成了汽车制造、电子信息等一批世界级产业集群……保护和发展的相互 促进、相得益彰，书写了人与自然和谐共生的中国式现代化时代篇章。 长江经济带发展十年答卷 创新长江劲能更加强劲 创造出"人造太阳"亿度干秒运行、靶向 ■ 抗癌药等一批处于世界先进水平的科技成 岸 涌现出DeepSeek、宇树科技等一批具 ■ 有国际竞争力的创新型企业 形成汽车制造、电子信息等一批世界级产 l 业集群 部半 ESS 长江经济带发展十年答卷 跟随这组海报，一起见证母亲河十年发展答卷，领略一江碧水向东流、发展新潮连天涌的壮丽画卷。 凯华社 长江经济带发展十年答卷 文化长江底蕴更加深厚 良渚古城遗址成功列入世界文化遗产名录 ■ 三星堆考古发掘震撼世界 都江堰不仅灌溉着干万亩良田、更彰显了 ■ "天人合一"的治水理念 一批具有历史人文内涵的滨江城市、美丽 ■ 乡村与灵秀山水和谐相融 凯信业 长江经济带发展十年答卷 幸福长江品质持续提升 · 132座水工程实现联合调度 南水北调 ...

Report Industry Investment Rating - Not provided in the given content Core Viewpoints Manufacturing - Overall: In December, the manufacturing PMI's five - year percentile was at 57.6%, with a change of 37.3%. Four industries had their manufacturing PMI in the expansion range, 4 less than the previous month and 3 less than the same period last year [4]. - Supply: Slightly declined. The 3 - month average of the manufacturing PMI production index in December was 50.5, a 0.1 - percentage - point decrease from the previous month. Five industries showed month - on - month improvement, while 10 industries declined [4]. - Demand: Still needed improvement. The 3 - month average of the manufacturing PMI new orders in December was 49.6, a 0.4 - percentage - point increase from the previous month. Three industries showed month - on - month improvement, and 12 industries declined [4]. - Inventory: Continued destocking. The 3 - month average of the manufacturing PMI finished - goods inventory in December remained flat at 47.9. Five industries saw inventory increase, and 10 industries saw inventory decrease [4]. Non - Manufacturing - Overall: In December, the non - manufacturing PMI's five - year percentile was at 22.0%, with a change of 10.2%. Eleven industries had their non - manufacturing PMI in the expansion range, 5 more than the previous month and 1 more than the same period last year [5]. - Supply: Employment remained at a low level. The 3 - month average of the non - manufacturing PMI employee index in December was 45.5, a 0.4 - percentage - point increase from the previous month. Both the service and construction sectors increased by 0.4 percentage points [5]. - Demand: Still needed improvement. The 3 - month average of the non - manufacturing PMI new orders in December was 46.3, a 0.4 - percentage - point increase from the previous month. The service sector's new orders increased by 0.2 percentage points, and the construction sector's new orders increased by 1.7 percentage points [5]. - Inventory: Continued destocking. The 3 - month average of the non - manufacturing PMI inventory in December was 45.3, with no change from the previous month. The service sector's inventory remained unchanged, and the construction sector's inventory increased by 0.8 percentage points [5]. Summary by Directory Overview - Manufacturing PMI: In December, the manufacturing PMI's five - year percentile was at 57.6%, with a change of 37.3%. Four industries had their manufacturing PMI in the expansion range, 4 less than the previous month and 3 less than the same period last year [10]. - Non - Manufacturing PMI: In December, the non - manufacturing PMI's five - year percentile was at 22.0%, with a change of 10.2%. Eleven industries had their non - manufacturing PMI in the expansion range, 5 more than the previous month and 1 more than the same period last year [10]. Demand - Manufacturing: The 3 - month average of the manufacturing PMI new orders in December was 49.6, a 0.4 - percentage - point increase from the previous month. Three industries showed month - on - month improvement, and 12 industries declined. - Non - Manufacturing: The 3 - month average of the non - manufacturing PMI new orders in December was 46.3, a 0.4 - percentage - point increase from the previous month. The service sector's new orders increased by 0.2 percentage points, and the construction sector's new orders increased by 1.7 percentage points. Five industries showed month - on - month improvement, and 10 industries declined. Pay attention to the improvement in textiles and pharmaceuticals and the decline in petroleum [16]. Supply - Manufacturing: The 3 - month average of the manufacturing PMI production index in December was 50.5, a 0.1 - percentage - point decrease from the previous month. Five industries showed month - on - month improvement, and 10 industries declined. The manufacturing PMI employee index in December was 48.3, a 0.1 - percentage - point decrease from the previous month. Five industries showed month - on - month improvement, and 10 industries declined. - Non - Manufacturing: The 3 - month average of the non - manufacturing PMI employee index in December was 45.5, a 0.4 - percentage - point increase from the previous month. The service and construction sectors both increased by 0.4 percentage points. Eleven industries showed month - on - month improvement, and 3 industries declined. Pay attention to the decline in non - ferrous metals and农副食品 and the improvement in ferrous metals [25]. Price - Manufacturing: The 3 - month average of the manufacturing PMI ex - factory price index in December was 48.2, a 0.2 - percentage - point increase from the previous month. Seven industries saw their ex - factory prices improve, and 8 industries declined. In terms of profit, the profit trend in December increased by 0.4 percentage points, and the overall continued to converge. - Non - Manufacturing: The 3 - month average of the non - manufacturing charge price index in December was 48.3, a 0.2 - percentage - point increase from the previous month. The service sector increased by 0.3 percentage points, and the construction sector decreased by 0.2 percentage points. Eight industries showed month - on - month improvement, and 7 industries declined. In terms of profit, the profit in December remained unchanged. The service sector decreased by 0.1 percentage points, and the construction sector increased by 0.5 percentage points. Pay attention to the improvement in non - ferrous metals and the decline in petroleum [34]. Inventory - Manufacturing: The 3 - month average of the manufacturing PMI finished - goods inventory in December remained flat at 47.9. Five industries saw inventory increase, and 10 industries saw inventory decrease. The manufacturing PMI raw - material inventory in November decreased by 0.2 percentage points to 47.5. Seven industries saw inventory increase, and 8 industries saw inventory decrease. - Non - Manufacturing: The 3 - month average of the non - manufacturing PMI inventory in December was 45.3, with no change from the previous month. The service sector's inventory remained unchanged, and the construction sector's inventory increased by 0.8 percentage points. Five industries saw inventory increase, and 10 industries saw inventory decrease. Pay attention to the destocking of non - metallic products and the increase in construction inventory [42]. Main Manufacturing Industry PMI Charts - The report provides data on the PMI of various manufacturing industries, including general equipment, special equipment, automobiles, computers, motors, pharmaceuticals,农副食品, textiles, non - ferrous metals, petroleum, chemicals, ferrous metals, non - metallic products, metal products, and chemical fiber and rubber products, showing values, month - on - month changes, three - year averages, and year - on - year changes [53][54][57][58][59][66][67][68].

在具体实施路径上，苏州计划动态培育150个工业大模型，建设200个以上高质量工业数据集，打造超 100个可复制可推广的典型应用场景，培育入库智能终端产品300个以上，遴选建设10个制造业重点行业 人工智能应用赋能中心。同时，力争全市算力总规模达到40000PFLOPS，累计主导或参与研制20项以 上"AI+制造"相关标准，并突破6款以上填补国内空白的AI芯片创新产品。 根据《苏州市推进新型工业化2026年行动方案》，苏州将以争创国家新型工业化示范区为主线，坚持智 能化、绿色化、融合化发展方向，系统实施包括人工智能加速赋能制造业工程在内的新型工业化"八大 工程"、共28项具体行动，力争到2026年实现规上工业总产值突破5万亿元。 此次重点发布的"AI+制造"八大行动，聚焦工业大模型培育、工业数据集建设、典型应用场景推广、智 能终端品牌塑造、平台载体赋能、算力供给提质、标准体系引领、产业生态优化等八大关键方向，推动 人工智能技术深度融入制造业全链条，以科技创新驱动产业全面升级。 会上，苏州市还同步发布了制造业"1030"产业关键核心技术攻关方向清单，并对一批2025年新认定的国 家级企业平台及"十四五"期间作出突 ...

Group 1 - The core focus of the conference is to promote high-quality development of the real economy through manufacturing, with a roadmap for new industrialization in Suzhou by 2026 [1] - Suzhou aims to achieve an industrial output value exceeding 5 trillion yuan by 2026, emphasizing smart, green, and integrated development [1] - The "1030" industrial system will be deepened, focusing on emerging industries like high-end equipment, electronic information, and new materials, while revitalizing traditional industries [1] Group 2 - A total of 272 key core technology directions for manufacturing in Suzhou were announced, covering ten industrial clusters including new energy and biomedicine [2] - The "AI+ manufacturing" initiative includes goals such as cultivating 150 industrial models and creating over 200 high-quality industrial datasets [2] Group 3 - Representative companies shared their achievements in new industrialization and "AI+ manufacturing," highlighting the importance of integrating technology with traditional industries [3] - Hengli Group plans to accelerate the integration of intelligence, automation, and information technology in manufacturing [3] - Shagang Group is focusing on technological innovation to transform the steel industry, with initiatives to upgrade data utilization for decision-making [3]

Core Viewpoint - The integration of technology and industry is a strategic choice for Chengdu's development, emphasizing the need for innovation-driven growth and efficient transformation of technological achievements into market value [2][3]. Group 1: Strategic Importance - Chengdu's "15th Five-Year Plan" positions the city as a significant center for technological innovation and advanced manufacturing, necessitating enhanced hard power [2]. - The focus on integrating technology and industry aims to facilitate the initial stages of technological innovation and the final stages of technology transfer, creating a positive cycle of productivity [2]. Group 2: Implementation Strategies - The city has outlined key tasks for the new year, emphasizing organized innovation, effective transformation, and systematic matchmaking in the integration of technology and industry [2]. - Specific areas of focus include deepening scene innovation, expanding "Artificial Intelligence +", and nurturing emerging industries such as low-altitude economy and digital cultural creation [2][3]. Group 3: Collaborative Efforts - Ongoing initiatives like "Sci-tech Tianfu · Wisdom Gathering in Rongcheng" aim to enhance the efficient matching of supply and demand through collaboration with universities and innovation platforms, resulting in over 400 collaborative projects [3]. - The establishment of a "dual-direction leaderboard" mechanism and the appointment of 500 research personnel to act as "technology vice presidents" in enterprises will further support technological advancements [3].

Core Insights - The article highlights the rapid development of the Changsha Economic and Technological Development Zone as a hub for artificial intelligence and advanced manufacturing, emphasizing the integration of AI technologies into various industries [10][11][12]. Group 1: AI Integration and Industrial Development - Changsha Economic and Technological Development Zone is focusing on AI chip, AI server, intelligent terminals, and embodied intelligence, establishing several innovation centers and attracting over 70 industry chain enterprises [9][10]. - The zone has created two world-class lighthouse factories and numerous advanced intelligent factories, fostering a comprehensive ecosystem that integrates basic research, technological breakthroughs, and industrial applications [9][10]. - Companies like SANY Group and Foton Motor are utilizing AI technologies to enhance production efficiency, achieving significant improvements in capacity and quality control [8][10]. Group 2: Policy Framework and Strategic Planning - The Changsha government has outlined a ten-year action plan for AI development, aiming to position the city as a national benchmark for the integration of AI and the real economy by 2035 [11][12]. - A "1+N" high-quality development policy framework has been established, focusing on six key areas including R&D innovation and future industries, with specific measures to support the growth of new productive forces [11][12]. - The zone is implementing various measures to promote AI and robotics innovation, offering substantial financial incentives to encourage enterprise development [12][13]. Group 3: Collaborative Ecosystem and Innovation Platforms - The establishment of the Hunan Embodied Intelligence Innovation Center marks a significant step in the region's future industry layout, facilitating collaboration among various enterprises and research institutions [17][18]. - A total of 398 innovation platforms have been established in the zone, including 30 national-level platforms, fostering a collaborative environment for AI and advanced manufacturing [19][20]. - The zone is attracting leading companies in robotics and intelligent equipment, creating a comprehensive layout in manufacturing, core components, and system integration [22][23]. Group 4: Investment and Economic Impact - The Changsha Economic and Technological Development Zone has attracted significant investments, with over 300 billion yuan in total investment from various AI potential enterprises [24][25]. - The zone's initiatives have led to the establishment of a robust industrial ecosystem, with a focus on high-performance chips and intelligent manufacturing solutions [21][24]. - The region's AI technology penetration rate has reached 42%, indicating a substantial transformation in traditional industries towards more intelligent operations [31].

Core Insights - The integration of AI into manufacturing processes in Suzhou is transforming the industry, enhancing efficiency and quality control across various sectors [1][4][5] Group 1: AI Applications in Manufacturing - AI technologies are being implemented in real-time quality control, such as detecting fabric defects and optimizing battery production processes [1][4] - Suzhou's MegalaxyLab3.0 has reduced the development cycle for complex biological tasks from 6-10 months to 6-8 weeks through AI-driven solutions [2] - The AI data center at Kunshan Huguang Automotive Electric has improved production scheduling efficiency, reducing planning time from 4 hours to 1 hour [3] Group 2: Industry Transformation and Efficiency Gains - AI applications have led to significant efficiency improvements, such as a 90% reduction in new material creation time and a 35% increase in production capacity for Tesla's harness lines [3] - The implementation of AI in quality inspection processes has increased detection speed by 30% and improved product quality rates to over 98% [5] - AI technologies are reshaping production processes, enabling a shift from manual inspections to automated quality checks, thus establishing consistent quality standards [5] Group 3: Policy and Ecosystem Support - Suzhou has established a comprehensive policy framework to support the integration of AI in manufacturing, including the creation of an AI application pilot base [6][7] - The city is focusing on building a collaborative AI industry ecosystem, emphasizing data resource development and the establishment of high-quality data sets [7] - Continuous policy support aims to enhance the synergy between AI technology development and its application in manufacturing, fostering a conducive environment for innovation [6][7]

"围绕主导产业延链补链强链，2025年县里已成功引进了雅途电动休闲三轮车、华地驰骏电动三轮篷 车、远景车辆部件三家配套企业，助力主导产业实现'身强力壮'。"汝南县先进制造业开发区管委会主 任刘广介绍。 在河南立马电动车科技有限公司生产厂区，吊臂将车架、外壳等零部件精确运送到每个工位。"不到40 秒就可以下线一台成品车。"该公司两轮总装生产部、电机车间部长谢记超说，"目前正值需求旺季，现 在3条生产线马力全开，每天下线2500辆电动车，预计全年可生产50万辆，实现产值近10亿元。" 在围绕主导产业延链补链强链的同时，汝南还坚持科技赋能助力企业腾飞。伏特新能源成长为国家级专 精特新"小巨人"企业，东威车业、奥牛车业两家企业获评省级专精特新企业；环宇昌电子科技、盛鑫五 金制品获评省级优秀智能应用场景企业，环宇昌电子科技"纳维斯缓冲垫车间"入选省级优秀智能车间。 河南立马电动车科技有限公司焊接车间正在积极筹建"黑灯工厂"，项目建成后可实现全部由机器人操 作，大大降低劳动力成本；绿佳车业正在强力推进生产线更新换代，力争年生产能力突破50万辆。 县计县策 汝南县坚定不移走工业强县之路，围绕主导产业延链补链强链，加快构建以 ...

2025年全国经济画卷正徐徐展开，区域经济发展的新格局轮廓愈发清晰。从最新预测数据来看，各省份的经济排位并非偶然，其背后是深刻的结构调整与发 展战略转型的逻辑体现，蕴含着中国区域经济从"追赶"走向"协调"的深层规律。 四川（68,033.11亿元）对福建（60,398.75亿元）形成显著领先优势，其核心在于发展动能的根本性转变。四川不仅依靠传统的人口与资源红利，更得益于国 家战略叠加赋予的独特势能：作为"一带一路"与长江经济带的枢纽，其"内陆开放高地"地位日益突出。成渝双城经济圈建设吸引了大量高端制造、数字经济 产业集聚，如电子信息、装备制造集群的壮大，持续释放规模效应。相对而言，福建虽坐拥"21世纪海上丝绸之路核心区"的区位优势，但经济体量与产业纵 深受制于地理空间及资源禀赋，在增量竞争时代面临增长天花板。两者的差距，本质上反映了国家级战略平台对区域经济能级的重塑效应。 江西（35,838.69亿元）稳居第15位，其4.78%的增速高于全国均值，凸显了中部省份在产业承接与升级中的活力。其崛起得益于清晰的产业战略：一方面积 极融入长三角、粤港澳大湾区的产业链分工，在电子信息、新能源材料等领域形成特色优势；另一 ...

转自：许昌发布 《中共许昌市委关于制定许昌市国民经济和社会发展第十五个五年规划的建议》： 主动融入郑州都市圈和沿京广铁路城市发展带，构筑引领高质量发展的战略优势。落实国家重大战略、区域重大战略，融入全省"一主两副、一圈两带、 四域多点"发展格局，聚焦交通同网、产业同链、文化同兴、生态同建、服务同享，发挥特色优势，强化全域对接，进一步优化发展布局、拓展发展空 间。要协力做强郑（港）汴许主引擎，高质量建设"一带一圈两谷"，促进全方位功能对接，强化全市域整体联动。 在日前胜利闭幕的市委八届十次全会上，一个关乎城市未来走向的关键抉择被郑重写入发展蓝图：主动融入郑州都市圈，并全力对接沿京广铁路城市发展 带。 于许昌而言，从"融"出发，向"带"而行，这不仅是一次地理空间上的战略选择，更是在省委"一主两副、一圈两带、四域多点"宏大格局下，一座内陆城市 寻求能级跃升、开拓发展新优势的深刻自觉。 2025亮点 《许港产业带发展规划(2025-2035 年)》编制完成，212个重点项目前10个月完成投资740亿元，占年度投资计划的90.1%，招引亿元以上项目81个，累计到 位资金73.9亿元 芙蓉湖现代服务业创新圈聚焦科技服务、 ...