Core Perspective - The article discusses the challenges faced by traditional political economy theories in the digital age, emphasizing the need for a new theoretical framework called "Triple-Five Dimensional" to analyze the contradictions of digital capital and its implications for governance in China [1][8]. Group 1: Theoretical Foundations - Capital is defined as a dynamic social relationship rather than a mere object, with its essence captured in three characteristics: relational nature, movement quality, and the essence of interests [2]. - In the digital age, the nature of capital has shifted from physical assets to data, algorithms, and computing power, leading to new control relationships between platforms, algorithms, and users [2]. - The acceleration of capital movement, facilitated by technologies like blockchain and AI, has compressed the time and space of capital circulation, resulting in risks such as the over-expansion of the virtual economy [2]. Group 2: Essence of Interests - The ultimate goal of capital movement is to achieve value growth, with the formula for surplus value evolving to include data as a key factor, highlighting the growing importance of data in the distribution of interests [3]. - The monopolistic position of platform capital leads to significant imbalances in interest distribution, exacerbating social inequality [3]. Group 3: Analytical Dimensions - The article introduces a five-dimensional model to analyze interests in the digital age, focusing on subjectivity, objectivity, process, temporality, and spatiality [4]. - The subjectivity dimension reflects the conflict between users' digital identities and their biological selves, while objectivity expands to include new asset forms like data and NFTs [4]. - The process of interest realization has transformed from linear to automated and programmable distributions, influenced by blockchain technology [4]. Group 4: Integration Framework - The "Triple-Five Dimensional" framework is an organic system that illustrates the dialectical interconstruction of relationships, movements, and interests in the digital economy [5][6]. - The monopolistic production relationships of digital platforms dictate the acceleration of capital movement and the skewed distribution of benefits towards capital [5]. - The pursuit of maximizing data value drives platforms to reinforce data monopolies and optimize algorithm efficiency [6]. Group 5: Value of the Framework - The framework reveals inherent contradictions in the digital economy, such as the coexistence of technological empowerment and labor alienation, and the tension between efficiency and fairness [7]. - It provides a comprehensive analytical tool for evaluating governance practices, particularly in the context of China's governance model, which seeks to balance efficiency, fairness, innovation, and security [7]. - Ultimately, the framework aims to establish a model for orderly capital expansion that prioritizes social equity, ecological sustainability, and data security, contributing to a new path towards digital civilization [7].

Core Viewpoint - The A-share market has shown a strong upward trend since the beginning of 2026, driven by multiple factors including the technology cycle, policy benefits, economic recovery, and the return of overseas capital [1][3][4]. Group 1: Market Performance - As of January 12, 2026, the Shanghai Composite Index has achieved a "seventeen consecutive days" rise, with significant increases in trading volume and active capital inflow [1][3]. - The performance of various sectors shows that cyclical stocks, technology stocks, and military industry stocks have led the gains, while financial and consumer stocks have underperformed [1][3]. Group 2: Driving Factors - The dual momentum from technology and cyclical sectors has significantly enhanced risk appetite among investors, with the digital economy, particularly AI and semiconductors, leading the charge [3][4]. - The release of concentrated economic policies since the beginning of 2026, including a 625 billion yuan special bond for consumer upgrades, has contributed to the market's positive outlook [4][5]. - Economic recovery is gaining momentum, with manufacturing and non-manufacturing PMIs returning above the growth line, indicating a shift towards quality and efficiency in corporate operations [5][6]. Group 3: Capital Flows - The appreciation of the RMB against the USD has attracted overseas capital back to China, as global investors seek stable assets amid geopolitical uncertainties [6][7]. - Data indicates an increase in holdings of Chinese assets by global and Asian funds compared to the end of 2024, supported by targeted policies and growth in AI-related profits [7]. Group 4: Futures Market Dynamics - The narrowing of the basis in stock index futures indicates strong bullish sentiment among investors, with significant shifts in the annualized basis rates for various contracts [8][9]. - Recent fluctuations in futures contracts suggest a potential adjustment phase, with the cost of rolling over contracts decreasing, reflecting a more favorable position for investors [10][11]. Group 5: Future Outlook - The market is transitioning from valuation-driven growth to profit-driven performance, with individual stock performance increasingly tied to fundamental improvements and rising economic conditions [11][12]. - The A-share market is expected to continue its upward trajectory, supported by ongoing policy effects, enhanced economic recovery, and the sustained influx of overseas capital [12].

Core Viewpoint - The article discusses the newly released "Work Method" which systematically regulates the layout and investment direction of government investment funds for the first time at the national level, aiming to guide the development of trillion-level government investment funds in China [1][7]. Group 1: Policy Measures - The "Work Method" proposes 14 policy measures focusing on three aspects: where to invest, how to invest, and who manages the funds [2][3]. - It emphasizes optimizing fund allocation to support major strategies, key areas, and weak links in resource allocation, promoting deep integration of technological and industrial innovation, and nurturing emerging pillar industries [2]. Group 2: Investment Guidance - Funds must align with national major plans and encourage industries listed in the national industrial directory, avoiding investments in restricted, eliminated, or prohibited sectors [3]. - Provincial development and reform departments are tasked with creating local priority investment lists to optimize fund allocation and direction [3]. Group 3: Evaluation Indicators - The "Management Method" establishes three primary and thirteen secondary indicators for evaluating fund performance, with a focus on policy compliance (60% weight), optimization of productivity layout (30% weight), and policy execution capability (10% weight) [4][6]. - The evaluation will consider whether fund investments support the development of new productive forces, including emerging and future industries such as AI, quantum information, and advanced manufacturing [4][5]. Group 4: Regional Strategy Alignment - The evaluation also assesses the alignment of fund investments with national regional strategies, including support for various regional development initiatives like the Western Development and Northeast Revitalization [6]. - Funds that meet these regional strategy requirements will receive higher evaluation scores [6]. Group 5: Differentiated Development - The National Development and Reform Commission highlights the need for differentiated development of government investment funds, addressing issues like mismatched local resources and homogeneous investment directions [7][8]. - National funds are to focus on supporting the construction of a modern industrial system and overcoming key technological challenges, while local funds should align with local industry foundations and development realities [8].

《报告》认为，扩大数字消费将成为提振内需的重要抓手，数据要素的市场化配置改革将向纵深推进， 数字关键核心技术将实现更多突破式创新，"人工智能+"将全面助力企业提质增效，平台经济将阔步迈 向规范健康持续发展。构筑自主可控、弹性韧性的新一代网络与安全屏障是数字经济行稳致远的根本保 障，深化适应数字经济特征和发展规律的体制机制改革是破除发展障碍、激发创新活力的关键举措。要 积极拓展和深化"数字丝绸之路""丝路电商"的国际合作，加快数字平台"走出去"步伐，提升我国数字经 济国际竞争力。(经济日报记者沈慧) 近日，中央财经大学与社会科学文献出版社联合发布了《互联网与数字经济蓝皮书：中国互联网与数字 经济发展报告(2025)》。报告显示，2024年，中国数字经济规模平稳快速增长，数据要素市场制度日益 完善，数字技术创新应用持续涌现，数字经济核心产业茁壮成长，实数深度融合全面提速。 数字经济是以数据要素为关键要素，以数字平台及其生态为主要载体，通过数字化和智能化实现高效连 接，在物理世界和数字空间都可以创造价值的一种新的经济形态。《报告》指出，数字经济发展已经进 入数字技术和数据要素双轮驱动的新阶段，数据作为新型生产要素快 ...

Group 1 - The core viewpoint of the news is the introduction of new regulations by the National Development and Reform Commission, in collaboration with other ministries, to guide the planning and investment direction of government investment funds, marking a systematic approach to fund layout and investment direction at the national level [1][2][12] - The "Work Method" defines government investment funds and emphasizes their role in guiding investments towards major strategies and key areas where the market cannot fully play its role [2][12] - The "Management Method" establishes a detailed evaluation system with 13 indicators to assess the investment direction and performance of government investment funds, focusing on policy compliance and optimization of productivity layout [8][10] Group 2 - The "Work Method" includes provisions to prevent homogenization of competition and the crowding out of social capital, aiming for a high-quality development pattern of government investment funds that is appropriately scaled, reasonably laid out, and scientifically managed [3][5] - Specific prohibited investment behaviors for government investment funds are outlined, including increasing local government hidden debt and engaging in speculative trading [6][10] - The evaluation system emphasizes support for emerging industries and future industries, including areas like quantum information, generative artificial intelligence, and new energy, while also promoting the transformation of traditional industries [9][10] Group 3 - The government investment funds are encouraged to collaborate with local funds, leveraging local resources to form a financial synergy in key areas of frontier technology and supply chains [5][12] - The evaluation criteria include a focus on early-stage investments and long-term investment periods, with a preference for projects that have a high proportion of social capital contributions [10][12] - The introduction of the "negative behavior list" for investment directions aims to ensure that funds do not engage in undesirable practices, with a scoring system that influences management fees and profit distribution based on performance [10][11]

Core Viewpoint - The company, Yingfang Software, specializes in data replication software and has recently seen a decline in stock price, with a 5.63% drop on January 13, 2024, and a total market capitalization of 4.491 billion yuan [1]. Company Overview - Yingfang Software, established on August 12, 2011, is located in Shanghai and focuses on providing data replication software, integrated hardware-software solutions, and related services. The revenue breakdown includes 60.37% from software products, 20.57% from software-related services, 15.97% from integrated hardware-software products, and 3.09% from other sources [8]. Product and Technology - The company has developed nearly 30 standardized products based on three core technologies, covering disaster recovery, backup, big data, and cloud disaster recovery. These products are designed to facilitate data interconnectivity and support the development of the digital economy [2][3]. - Yingfang Software's data replication products are widely used in various sectors, including finance, government, healthcare, and telecommunications, ensuring data security and business continuity while aiding digital transformation [3]. Market Position - Yingfang Software is recognized as one of the top three suppliers in the domestic data replication and protection software market. The company has achieved significant compatibility certifications with various domestic and international software brands, including compatibility with Kunpeng chips and cloud platforms [3]. Financial Performance - For the period from January to September 2025, Yingfang Software reported a revenue of 132 million yuan, reflecting a year-on-year growth of 11.26%. However, the net profit attributable to the parent company was a loss of 14.706 million yuan, although this represented a 53.56% improvement compared to the previous year [8].

Core Viewpoint - Malaysia is advancing its digital economy and bridging domestic digital development gaps by deepening cooperation with China in the fields of digital economy and artificial intelligence (AI) [1] Group 1: Digital Economy Development - Access to technology is crucial for inclusivity and economic governance in modern society [1] - Malaysia faces challenges in uneven distribution of digital technology, with remote areas lacking high-speed internet and SMEs lagging in cloud computing, AI, and data analytics [1] - By collaborating with China, Malaysia is transitioning from being a "user" of technology to a "co-developer" [1] Group 2: Bilateral Cooperation - The year 2025 is a significant milestone for digital cooperation between Malaysia and China [1] - In April of the previous year, both countries signed cooperation documents in digital economy and AI, focusing on policy coordination, regulatory alignment, industrial digital transformation, and talent development [1] - China has become an important partner for Malaysia in infrastructure investment and AI collaboration, strengthening the foundation for Malaysia's digital economy development [1]

Group 1 - The core viewpoint of the article is that cyber fraud has become one of the most disruptive forces in the digital economy, necessitating coordinated international responses to cybersecurity challenges [1] Group 2 - The World Economic Forum's report titled "Global Cybersecurity Outlook 2026" highlights the evolution of cyber fraud and its impact on the global economy [1] - Cybersecurity is identified as a cross-border issue that requires collaboration among nations [1]

Core Insights - The core viewpoint of the article highlights the economic growth and development achievements of Shijingshan District over the past five years, with a focus on GDP growth, fixed asset investment, and the modernization of its industrial system [1] Economic Performance - Shijingshan District's GDP has crossed four hundred billion thresholds in the past five years, with an expected annual growth rate of around 6% [1] - The average annual growth rate of general public budget revenue is 6.7%, with tax revenue accounting for over 90% [1] - Fixed asset investment totaled 230.96 billion, with an average annual growth rate of 9.3% [1] Industrial Development - The industrial system has evolved from "1+3+1" high-tech to a modernized system characterized by "leading +特色 + future" [1] - The added value of the digital economy accounts for 57.4% of the GDP, exceeding the city average by 12.4 percentage points [1] Future Goals - The main economic and social development targets for this year include a GDP growth of 5%, general public budget revenue growth of 2%, and a market total consumption growth of around 5% [1] - The fixed asset investment targets are set to meet city-level requirements, with an unemployment rate controlled within 5% [1] - The per capita disposable income of residents is expected to grow in line with economic growth [1]

导语 究的重镇，光华管理学院必须胸怀"国之大者"，把经管自主知识体系建设转化为学院"学术、学科、学人"发展的具体实践和长远战略，在强国建设、民族 复兴伟业中书写学术报国的光华新篇章。本次研讨会旨在凝聚共识、校准方位、坚定信心，通过务实举措加快推进中国经管自主知识体系建设。 2026年1月5日，北京大学光华管理学院举办"中国经管自主知识体系建设"研讨会，深入学习贯彻党的二十届四中全会精神，围绕加快构建中国哲学社会科 学自主知识体系，深入探讨中国经管自主知识体系的价值定位、范式特征、理论内涵、核心要素、目标任务及发展路径等。 本次研讨会汇聚了来自学院各个系科，以及多个学科交叉平台、特色实验室和前沿交叉创新研究团队的四十多位学者。光华管理学院院长刘俏教授以《现 代化进程与中国经管自主知识体系建设》为题作引导发言。随后二十余位教授依次发言，围绕议题展开深入交流。整场会议由光华管理学院副院长、市场 营销学系沈俏蔚教授主持。 与会学者聚焦卓越学术与自主知识体系建设的"突破性"布局，就以下关键问题展开了深入研讨：中国原创经济理论和管理理论如何取得具体突破？碳中和 经济学、可持续发展、AI for Social Scienc ...