齐鲁晚报.齐鲁壹点孔茜通讯员马迪段亚洲 旺盛的市场需求，对企业生产与研发能力提出更高要求。为应对国内外市场对环保方面的更高要求，企业及时调整战略，聚焦智能化与新能源两大方向， 科学规划布局，抢占市场先机。 "目前，我们在市政、农业及新能源设备领域已积累一定客户。计划2026年前推出多款电动挖掘机，2027年实现AI辅助自动驾驶量产。"山东小象重工集团 总工程师张建说，目前，多台纯电动挖机已完成样机测试，续航可达4-5小时。此外，针对矿山等特殊场景，不同机型正在陆续生产，年底前将逐步完成 电池续航技术优化。 以政策为导向，以创新为引领，以研发为主线，当前企业正联合本地高校构建"产学研"协同创新模式，重点攻克高端液压件与电控系统两大核心技术，赋 能产品绿色升级，为未来发展奠定坚实基础。 位于济宁高新区的山东小象重工集团，作为外向型生产加工企业，紧跟政策导向、精准把握市场需求，通过强化生产、重视研发、优化结构、推动转型， 持续为地方经济社会绿色低碳高质量发展注入强劲动力。 走进企业生产车间，两条装配线马力全开，工人们在各自岗位上忙碌地组装各类载重0.8吨—3吨的小型挖掘机产品。 "目前每天产能约80台，订单已排产至 ...

Core Insights - The event "2025 Shenzhen International High-Performance Medical Device Exhibition and Innovative Pharmaceutical Exhibition" was held in Hong Kong, focusing on "Innovative Drugs and Devices, Collaborative Win-Win" [1] - Over 120 companies, universities, and research institutions participated, with more than 300 representatives attending [1] - The exhibition showcased the "hard power" of the Greater Bay Area's pharmaceutical and medical device industry, featuring advanced medical equipment and innovative pharmaceutical achievements [1] Group 1 - The event adopted a "conference + exhibition" model to explore cutting-edge technology trends and collaborative development initiatives [1] - It aimed to deepen cross-border cooperation between Shenzhen and Hong Kong in the pharmaceutical and medical device sectors, contributing to high-quality development in the Greater Bay Area [1] - Notable exhibits included advanced surgical robots and automated models for traditional Chinese medicine, highlighting the industrial vitality of both regions [1] Group 2 - Top experts from institutions like the Chinese Academy of Sciences and the U.S. National Academy of Inventors delivered keynote speeches on topics such as infrared fluorescence imaging and clinical applications of surgical robots [1] - The organizers expressed intentions to further integrate industrial resources and align with international standards to create a closed-loop ecosystem of "research-industry-capital" [1] - This initiative is expected to help the Greater Bay Area establish itself as a world-class hub for the pharmaceutical and medical device industries [1]

Core Insights - The "Shenzhen-Hong Kong-Guangzhou" innovation cluster ranks first globally in the latest Global Innovation Index 2025 by WIPO, highlighting the GBA's recognition as a top-tier innovation hub [2] - Hong Kong is increasingly becoming a focal point for innovation and technology talent, supported by robust research resources and a competitive salary structure [2][5] - The HKX Foundation has released the "Hong Kong Innovation and Technology Talent Index 2025," which tracks the evolution of the innovation ecosystem in Hong Kong over the past two years [2][3] Group 1: Talent Development and Ecosystem - The report identifies two key groups: academic entrepreneurs and "Talent Pass" holders, analyzing talent resources, carriers, effectiveness, and ecosystem [3][4] - Eight core findings illustrate a more vibrant atmosphere, a growing workforce, and richer outcomes in Hong Kong's innovation sector [3] - The index serves as a critical reference for policymakers and industry stakeholders, reflecting both achievements and challenges in talent development [3][6] Group 2: Talent Attraction and Retention - Hong Kong's talent attraction initiatives have seen significant success, with 274,000 applications approved in the past two years, including a 33% share from the "Talent Pass" program [21] - The government plans to optimize the "Talent Pass" policy further, expanding the list of eligible universities and extending visa durations to better match local development needs [21][24] - Challenges remain in retaining talent due to high living costs and educational concerns, with a need for a more diverse talent pool beyond the Greater China region [21][24] Group 3: Industry and Investment Opportunities - Hong Kong has successfully attracted 84 key enterprises, expected to bring around HKD 50 billion in investments and create over 20,000 jobs [24] - The focus on "new industrialization" aims to create a complete innovation ecosystem, addressing the gap between research and commercialization [27] - The financing landscape for innovation is evolving, with a shift from government reliance to a diversified support system, enhancing the attractiveness for startups and talent [35] Group 4: Collaboration and Innovation - The RAISe+ initiative has fostered collaboration between academia and industry, although execution challenges remain [28] - The Northern Metropolis aims to integrate industrial and urban development, providing a supportive environment for innovation talent [33] - Hong Kong's role as a "super connector" is emphasized, leveraging its unique position to link global resources and enhance local innovation ecosystems [38]

Group 1 - The core idea of the article highlights the transformation of Changzhou's innovation ecosystem through the integration of talent, technology, and capital, facilitated by initiatives like "dual-position hiring" and the establishment of the产科教联盟 (Industry-Education Alliance) [1][2][3] Group 2 - The "dual-position hiring" initiative allows high-level talents to work simultaneously in academia and industry, resulting in over a thousand professionals bridging the gap between research and practical application, significantly enhancing problem response speed and economic benefits for companies [2][3] - The产科教联盟 has established a robust network of over 200 technical managers and linked more than 60 educational institutions, facilitating the transfer of technology and promoting collaboration between academia and industry, with a total cooperation amount exceeding 1.8 billion yuan [3][4] - The Changzhou Technology Property Transaction and Operation Center has introduced a new model for patent auctions, providing comprehensive market analysis and industrialization plans, which has improved the conversion rate of patents into marketable products [4][5] Group 3 - Since its inception, the transaction center has identified 167 high-value patents and completed 70 technology transactions, reshaping the evaluation standards for innovation outcomes based on market demand rather than solely expert assessments [5] - The integration of technology innovation and industrial innovation is a key focus, with Changzhou's approach emphasizing the enhancement of existing technologies to better serve manufacturing upgrades, reflecting a localized model of innovation [5]

（来源：西藏工商联） 新华社北京12月2日电 《中共中央关于制定国民经济和社会发展第十五个五年规划的建议》提出："推 动创新资源向企业集聚"。这是促进科技创新和产业创新深度融合、强化企业科技创新主体地位的现实 需要。 推动创新资源向企业集聚，目的是通过促进人才、资金、技术、数据、平台等创新要素集聚，推动企业 成为技术创新决策、研发投入、科研组织和成果转化的主体，提升企业创新能力和竞争力。近年来，我 国通过政策引导、机制创新、创新生态优化，促进人才、资金、技术等创新要素加速向企业流动，培育 了一批核心技术能力突出、创新能力强的科技领军企业和高新技术企业，引领带动产业向全球价值链高 端攀升，有力推动传统产业转型升级、新兴产业和未来产业发展壮大。 第一，强化企业主导的产学研协同创新。支持企业与高校、科研院所密切合作，促进高校、科研院所面 向产业需求共同凝练科技问题，围绕企业需求联合开展科研攻关、协同培养科技人才。推动企业与高 校、科研院所共建实验室、中试平台等科技创新平台基地，共同开展技术熟化、试验验证与成果转化， 强化研用贯通。支持科技领军企业牵头联合产学研用各方、产业链上下游企业组建创新联合体，健全风 险共担、 ...

推动创新资源向企业集聚，目的是通过促进人才、资金、技术、数据、平台等创新要素集聚，推动企业 成为技术创新决策、研发投入、科研组织和成果转化的主体，提升企业创新能力和竞争力。近年来，我 国通过政策引导、机制创新、创新生态优化，促进人才、资金、技术等创新要素加速向企业流动，培育 了一批核心技术能力突出、创新能力强的科技领军企业和高新技术企业，引领带动产业向全球价值链高 端攀升，有力推动传统产业转型升级、新兴产业和未来产业发展壮大。 第一，强化企业主导的产学研协同创新。支持企业与高校、科研院所密切合作，促进高校、科研院所面 向产业需求共同凝练科技问题，围绕企业需求联合开展科研攻关、协同培养科技人才。推动企业与高 校、科研院所共建实验室、中试平台等科技创新平台基地，共同开展技术熟化、试验验证与成果转化， 强化研用贯通。支持科技领军企业牵头联合产学研用各方、产业链上下游企业组建创新联合体，健全风 险共担、利益共享的运行机制。强化企业创新决策权，建立健全由企业牵头凝练提出国家科技计划中产 业应用导向项目的形成机制，推动科技创新成果直接应用于产品，提高企业的市场竞争力。 新华社北京12月2日电 《中共中央关于制定国民经济和 ...

Core Viewpoint - The proposal emphasizes the need to promote the aggregation of innovation resources towards enterprises to enhance their role as the main body of technological innovation and improve their innovation capabilities and competitiveness [1] Group 1: Enterprise-led Collaborative Innovation - Strengthening enterprise-led collaboration between industry, academia, and research institutions to address technological challenges and cultivate talent [2] - Supporting the establishment of innovation consortia led by leading technology enterprises to share risks and benefits [2] - Enhancing the decision-making power of enterprises in national technology plans to directly apply technological innovations to products [2] Group 2: Talent Flow to Enterprises - Addressing the shortage of innovative talent in enterprises as a major constraint on innovation capabilities [3] - Implementing mechanisms to facilitate the two-way flow of talent and breaking down institutional barriers [3] - Encouraging research personnel from universities and research institutions to engage in innovation and technology transfer within enterprises [3] Group 3: Promoting Resource Aggregation - Optimizing policies to support high-tech enterprises and specialized small and medium-sized enterprises to enhance their innovation capabilities [4] - Establishing a resource allocation mechanism centered on enterprises and improving tax support policies to incentivize R&D investment [4] - Encouraging local governments to set up technology development funds aimed at enterprises to tackle critical technologies and conduct foundational research [4]

Project Investment Plan - The project named "Large Lithium Battery R&D Platform Construction" has a total planned investment of 140.2931 million RMB, aimed at enhancing the company's technological innovation capabilities and resource allocation [1] - The project involves acquiring 100% equity of Huzhou High-tech Intelligent Terminal Co., Ltd. and constructing a research and development platform on its existing site, which covers 30 acres with a building area of approximately 22,000 square meters [1] - The construction period is set for 2 years, with plans to build a research building, testing laboratory, system R&D center, and other supporting facilities [1] Actual Investment Situation - As of October 31, 2025, the project has not utilized any raised funds, with a remaining balance of 146.2636 million RMB, including interest [2] Project Termination Reasons - The company decided to terminate the project due to the current macroeconomic situation, industry trends, and strategic planning, focusing on optimizing resource allocation and enhancing fund utilization efficiency [2][4] - The company has established a multi-layered, high-level R&D platform matrix, which includes national recognized technology centers and engineering research centers, supporting a comprehensive research system from basic research to application development [2][4] R&D Focus and Product Ecosystem - The company is focusing on key areas such as energy storage and green travel, developing a comprehensive product ecosystem from battery cells to system solutions [3] - In the energy storage sector, the company has launched high-capacity long-cycle storage battery cells and efficient temperature control systems to meet new power system needs [3] - The product matrix includes high-safety soft-pack batteries and cylindrical batteries for various short-distance travel and logistics scenarios [3] Resource Optimization and R&D Efficiency - The decision to terminate the project allows for the integration of R&D tasks into the existing platform matrix, maximizing resource utilization and collaborative efficiency [4][6] - The company has built a diversified R&D model that combines independent core R&D with collaborative innovation, effectively integrating external high-end intelligence and innovation resources [6] Response to Macroeconomic Changes - In the current volatile macroeconomic environment, the company emphasizes cost reduction and efficiency improvement as key to survival and development [7] - Continuing with the original plan would incur high acquisition costs and operational expenses, which contradicts the company's strategy of focusing on core capacity and optimizing resource allocation [7] Impact of Project Termination - The termination of the project and the permanent allocation of remaining funds to supplement working capital will not adversely affect the company's normal operations or business development [9] - This adjustment is seen as a reasonable decision based on business conditions, enhancing the efficiency of fund utilization and optimizing resource allocation [9] Approval and Decision-Making Process - The board of directors and the supervisory board have approved the termination of the project and the reallocation of funds, which will be submitted for shareholder approval [10][11] - The upcoming shareholder meeting is scheduled for December 19, 2025, to discuss and vote on the matter [15]

Core Viewpoint - The establishment of the "Hangzhou Dianzi University - Unicom Data Intelligence Artificial Intelligence and Big Data Joint Laboratory" signifies a collaborative effort between academia and industry to enhance innovation and support the national digital economy strategy [1][4]. Group 1: Collaboration and Innovation - The visit by Unicom Data Intelligence's Chairman and General Manager Chen Haifeng to Hangzhou Dianzi University focused on cooperation in artificial intelligence and big data, emphasizing the importance of industry-academia collaboration [1]. - The signing ceremony for the joint laboratory was attended by representatives from both institutions, highlighting their commitment to research cooperation in areas such as big data and large models, particularly in healthcare and cultural tourism [2]. - The initiative aligns with national innovation-driven development strategies, aiming to inject new momentum into regional digital economy development and industrial intelligence upgrades [4]. Group 2: Strategic Goals and Expectations - The university's leadership expressed gratitude for Unicom Data Intelligence's ongoing support and emphasized the need for integrating technological and industrial innovation to facilitate the transition of research outcomes from laboratories to production lines [1]. - Chen Haifeng outlined the company's investments in computing infrastructure, industry models, and digital government, while praising the university's research achievements in artificial intelligence [1]. - The joint laboratory is expected to serve as a platform for resource aggregation and collaborative problem-solving, fostering a win-win partnership between the two entities [4].

Core Viewpoint - The establishment of the "Hangzhou Dianzi University - Unicom Data Intelligence Joint Laboratory" marks a significant collaboration between academia and industry, focusing on artificial intelligence and big data to support China's digital economy development strategy [1][2]. Group 1: Collaboration Details - The joint laboratory will facilitate cooperation between Hangzhou Dianzi University and Unicom Data Intelligence, aiming to enhance innovation through industry-academia collaboration [1][2]. - The partnership is expected to leverage resources and tackle challenges together, contributing to regional digital economy growth and industrial intelligence upgrades [2]. Group 2: Strategic Importance - The collaboration aligns with the national innovation-driven development strategy, emphasizing the need for universities to integrate into the forefront of industrial development and promote efficient transformation of research outcomes [1][2]. - The focus on deep integration of technological and industrial innovation is highlighted as a core strategy for high-quality development in Zhejiang province [1].