"《实施意见》突出务实导向，明确到2027年，我省数字经济核心产业增加值年均增速超过10%， 数字经济核心产业增加值占GDP比重稳步提升。"孙喜民说。 《实施意见》提出，我省将布局数字经济新赛道。从推动关键核心技术创新、培育数字经济创新型 企业、大力发展人工智能、做大做强数据产业、优化布局数字产业集群、促进平台经济健康发展等方 面，每年实施一批前沿领域重大基础研究项目，部署一批关键技术攻关任务，群体式培育数字经济领域 专精特新中小企业、瞪羚企业、独角兽企业，塑强数字经济核心产业优势。 同时，在激活数据要素价值方面，围绕促进数据要素供给、流通、运营和开发利用，实施数据资源 汇聚专项行动，高质量建设"一人一档、一企一档"，每年打造10个以上省级高质量数据集。 当前，我省数实融合持续深化，数字产业提级跃升，增速保持全国前列。共培育国家级数字领航企 业18家、国家级工业互联网平台46家，均居全国第一。今年1—6月，全省信息技术产业营收增长 18.6%，保持两位数增速。 山东将聚焦激活数据要素价值、布局数字经济新赛道等五方面 加快推动数字经济实体经济深度融合 8月1日，省政府新闻办召开政策例行吹风会，解读《关于加快释放 ...

Core Insights - The "Digital Economy and Urban Development Forum" highlighted the regional patterns of innovation in China's digital economy, with Beijing ranking first in innovation index due to its concentration of technology resources and innovative enterprises [1][3]. Group 1: Digital Economy Assessment - The report focuses on five dimensions: digital industrialization, industrial digitalization, digital governance, data factor value, and digital infrastructure, establishing a three-tier evaluation index system [1][3]. - The assessment results categorize regions into four tiers: first tier (Beijing, Guangdong) shows significant advantages; second tier (Shandong, Sichuan) demonstrates steady development; third tier (Hunan, Shaanxi) has room for improvement; fourth tier (Inner Mongolia, Gansu) requires continuous effort [3][4]. Group 2: Regional Comparison - The Pearl River Delta leads in digital economy innovation index, benefiting from developed manufacturing and foreign trade, with innovation clusters in Shenzhen and Guangzhou [4]. - The Yangtze River Delta has a strong economic foundation, talent concentration, and high integration of digital economy industrial chains [4]. - The Beijing-Tianjin-Hebei region has rich research resources in Beijing but faces uneven regional development, necessitating enhanced collaboration and industrial layout [4]. Group 3: Recommendations for Improvement - The report suggests increasing investment in 5G networks, high-speed broadband, and data centers in central and western regions to strengthen infrastructure [5]. - It emphasizes the need for talent cultivation and enhancing technological innovation capabilities in underdeveloped areas of the digital economy [5]. - Development of digital governance platforms is recommended to improve administrative efficiency and transparency, promoting data openness and shared innovation applications [5].

Core Viewpoint - The Peninsula Harbor Group is transforming the model of government-enterprise cooperation through digital empowerment and ecological co-construction, aiming to break down traditional barriers and inject new momentum into regional economic development [1][3]. Group 1: Digital Transformation and Innovation - The group has developed a trade information platform and a big data center that integrates multi-channel and high-dimensional data assets, creating a digital foundation that covers the entire industrial chain [3]. - The system visualizes the economic value and social benefits of local platform companies and provides precise data support for government industrial planning and corporate strategic decision-making through intelligent analysis models [3]. - Technologies such as blockchain ensure the authenticity and immutability of supply chain financial data, while AI algorithms enable precise matching of financial resources based on enterprise growth models [3]. Group 2: Reshaping Government-Enterprise Cooperation - The Peninsula Harbor Group integrates blockchain, big data analysis, and artificial intelligence to launch a new e-commerce supply chain ecosystem platform, offering comprehensive financial service solutions across the industrial chain [3]. - The platform achieves the integration of logistics, capital flow, and information flow, providing intelligent risk control and capital operation support for e-commerce platforms, while also creating new dimensions for credit assessment based on industrial data for financial institutions [3]. - This "technology + scenario + finance" closed-loop model facilitates the transformation of the e-commerce industry from "scale expansion" to "value cultivation" and promotes the upgrade of government-enterprise cooperation from "project-based" to "ecological" [3]. Group 3: Future Directions - The group's exploration fundamentally reshapes the logic of government-enterprise cooperation, emphasizing that collaboration should leverage digital tools for value reconstruction rather than merely resource aggregation [5]. - By converting operational data into quantifiable financial assets, the group enhances the financing capabilities of enterprises and strengthens the resilience of local economies, shifting cooperation from a "task-oriented" to a "value-symbiotic" approach [5]. - Moving forward, the Peninsula Harbor Group aims to deepen digital cooperation with government and enterprise partners, exploring diverse collaboration scenarios to write a new chapter in government-enterprise cooperation from "coordination" to "win-win" [5].

数字经济拓展产业新业态是基础设施、技术、要素、产业与市场融合作用的结果。数字基础设施是新业 态发展的根基，数字平台、数据资源、算力设施等一体化建设是降低新业态创新成本、保障服务稳定可 靠与规模推广的关键所在。技术融合是形成新业态的核心驱动力，是新兴互联网消费模式与沉浸式经济 等前沿业态的实现手段。要素融合是新价值创造的源泉，资本、劳动力与知识等传统要素与数据要素的 深度融合，创造了精准营销与个性化定制等新型服务模式。市场融合打破了不同行业、地域、线上与线 下市场之间的壁垒，形成统一、互联、动态演化的新型市场空间。产业融合为新业态创新提供了丰富的 落地场景和实践土壤，消费数据从消费到生产的跨产业流动使原本割裂的供应链、消费与生产形成闭 环。未来数字经济新业态竞争的关键，是谁能够更快识别高潜力的产业融合场景并构建适配的产业生 态。 人工智能与激活数据要素价值是未来创新数字经济新业态的关键路径。人工智能能够挖掘数据要素的潜 在规律与价值，为数字经济新业态的发展提供丰富的资源。虽然我国数据总量庞大，但数据要素市场制 度仍不完善、数据共享与治理水平等有待提升。释放数据要素价值需要系统性思维，要以"权益可追 溯、贡献可量 ...

Core Viewpoint - The "Digital China Construction 2025 Action Plan" aims to significantly advance the digital economy and enhance the quality and efficiency of digital development by the end of 2025, with specific targets set for various sectors [1][2]. Group 1: Action Plan Objectives - By the end of 2025, the core industry value added of the digital economy is expected to exceed 10% of GDP, with a computing power scale surpassing 300 EFLOPS [1]. - The plan emphasizes the importance of digital governance, digital culture, and ecological civilization, aiming for substantial improvements in these areas [1]. - The action plan outlines eight major initiatives, including the development of AI applications and high-quality data sets, as well as advancements in smart manufacturing and intelligent terminals [1][2]. Group 2: Industry Insights - Experts express confidence in AI's potential to drive the digital industry, highlighting sectors like smart manufacturing, intelligent connected new energy vehicles, and finance as ripe for AI applications [2]. - The balance between data sharing and privacy protection is identified as a critical challenge, necessitating robust legal frameworks and advancements in privacy technologies [2]. - The action plan aligns with China's strategic goals for high-quality economic development and the cultivation of new growth drivers, focusing on enhancing data quality and usability [2][3].