Core Insights - The British Council has launched IELTS WriteUp, an AI-based writing mock exam product aimed at enhancing writing skills for Chinese IELTS candidates, addressing the challenges of language assessment in the context of globalization and AI technology [1][2][3] Group 1: Product Overview - IELTS WriteUp is the first official mock exam product that breaks down the IELTS writing assessment into sixteen sub-dimensions based on four main scoring criteria, providing personalized feedback and rapid scoring [1][2] - The product aims to fill the gap in official AI mock exam offerings and enhance the writing communication skills of Chinese candidates, thereby advancing the English education and training sector in China [1][2] Group 2: Market Demand and Performance - According to the British Council's 2024-2025 report, the average IELTS score for Chinese candidates is 5.9, with a writing score of 5.7, indicating significant room for improvement [2] - Writing is identified as a challenging area for feedback and teaching investment, with traditional methods being limited in scale and automated tools lacking alignment with official scoring standards [2] Group 3: Industry Challenges and Solutions - The industry faces the challenge of providing efficient, scalable, and diagnostic writing feedback while maintaining scoring standard consistency [3] - IELTS WriteUp leverages the British Council's official advantages to offer a practical solution for enhancing writing skills, featuring authoritative backing, precise assessment, realistic simulation, and effective personalized feedback [3]

在数字经济深度融入经济社会发展的当下，构建具有中国特色的数字经济学自主知识体系，成为推动理 论创新、服务实践发展的重要课题。 在2025中国数字经济学自主知识体系创新联盟年会上，中央财经大学副校长李涛表示，数字经济是新时 代推动高质量发展的关键抓手，构建中国数字经济学自主知识体系是回应国家战略需求、提升学科话语 权的核心任务。"搭建创新联盟平台的核心目标是汇聚学界业界合力，推动中国数字经济学自主知识体 系的构建与完善，形成兼具中国特色与国际视野的理论成果。"李涛说。 应用场景成为数字经济学自主知识体系建设的重要支撑。中国社会科学院大学教授李晓华认为，应用场 景是技术创新验证、数字经济发展、人工智能主权保障的关键载体。当前，无人驾驶需在真实道路测试 完善，新技术的经济价值也需在场景中验证。从数字经济发展来看，中国庞大的市场规模支撑了BAT （百度、阿里巴巴、腾讯）等平台成长，细分场景又推动了京东、抖音电商等新平台涌现，还能实现技 术跨场景复用。在人工智能发展方面，国内应用场景为华为昇腾、寒武纪等自主芯片企业提供试错空 间，中国制造业优势更将为人工智能与物理世界结合创造广阔场景。 "政策层面，我认为需坚持有效市场 ...

展望2026年，市场预计专项债收储存量闲置土地还将延续，这有望改善土地市场供求关系。 （文章来源：中国经营报） 2025年，用于收购存量闲置土地的地方政府专项债券发行规模明显提升。 根据中国指数研究院的监测，2025年全国已发行的用于收购存量闲置土地的专项债总金额超3000亿元， 约占拟收储总金额的40%。其中，广东省发行486亿元，居首位；湖南省发行九批专项债，合计发行389 亿元，位居第二；江西省、重庆市发行专项债金额在300亿元左右。 ...

Core Viewpoint - The OECD's BEPS 2.0 project introduces a new international tax governance framework centered around a global minimum tax to address cross-border tax imbalances caused by "race to the bottom" tax competition among countries [1] Group 1: Parallel Arrangement - The OECD/G20 Inclusive Framework has released a "Side-by-Side Package" aimed at optimizing the implementation of the global minimum tax, addressing practical challenges [1] - The "parallel mechanism safe harbor" (SbS safe harbor) is designed for multinational groups in jurisdictions with high-standard tax systems, allowing exemptions from IIR and UTPR if certain conditions are met [2] - Currently, only the United States qualifies for the SbS safe harbor due to its implementation of the Corporate Alternative Minimum Tax (CAMT), significantly reducing the tax obligations for its multinational enterprises [2] Group 2: Innovations in Safe Harbor Mechanisms - The "Side-by-Side Package" includes innovations in four additional safe harbor mechanisms: Ultimate Parent Entity (UPE) safe harbor, transitional CbCR safe harbor extension, Simplified Effective Tax Rate Safe Harbor (SESH), and Substance-Based Tax Incentive Safe Harbor (SBTI) [2] - These five safe harbors are designed to address various tax-related issues and provide practical solutions, enhancing the maturity and implementation of the global tax governance framework [2] Group 3: Impact of Pillar Two Rules - According to OECD estimates, the full implementation of the Pillar Two rules is expected to reduce global profit shifting by over 50% and generate an additional $37 billion in global corporate income tax revenue annually [3] - As of January 12, 2026, over 70 jurisdictions have implemented the Pillar Two rules, including all EU member states and major economies like the UK, Singapore, and Canada [3] - Hong Kong's initiation of the global minimum tax and local minimum supplement tax in 2025 marks a significant step in cross-border tax governance in the Asia-Pacific region [3] Group 4: Future Tax Coordination - Although China and the United States have not publicly announced domestic legislative plans, the OECD's "Side-by-Side Package" provides a framework for potential tax coordination [3] - The release of the "Side-by-Side Package" signifies a transition from the initial implementation phase of the Pillar Two rules to a more refined and regular adjustment phase, reflecting OECD's commitment to tax fairness while addressing business compliance needs [3]

Group 1 - The core viewpoint presented by Wang Fang emphasizes that the development of science and technology bonds (科创债) and the internationalization of the bond market will be new long-term trends [1][2] - In 2025, the bond market is expected to expand significantly, with a total scale exceeding 196 trillion yuan, an increase of 20 trillion yuan from the beginning of the year [1] - The total issuance of government bonds is projected to reach 16.01 trillion yuan, marking a year-on-year growth of 28.37%, setting a historical record [1] Group 2 - The issuance scale of science and technology bonds is anticipated to reach 1.87 trillion yuan in 2025, with over 1,600 bonds issued, providing new opportunities for the bond market [1] - The bond market is expected to maintain overall liquidity, with proactive fiscal policies likely to increase supply and volatility [2] - The bond market is positioned at a critical juncture for consolidating achievements, deepening reforms, and achieving innovative breakthroughs [2]

Core Insights - The article discusses the emergence of AI in the bidding and procurement sector, highlighting the launch of iFlytek's intelligent procurement platform aimed at addressing traditional industry pain points and enhancing efficiency [1][2]. Group 1: Company Developments - iFlytek has introduced the "Intelligent Procurement Platform" to facilitate the transition of government and enterprise procurement processes towards AI-driven solutions, positioning it as a "smart factory" for the procurement sector [1]. - The platform can reduce the time required for preparing bidding documents from an average of 5-7 working days to just 30 minutes, with an accuracy rate of 96% for detecting irregularities in bidding [1]. Group 2: Industry Trends - The traditional procurement model is characterized by high risks, low efficiency, high costs, and regulatory challenges, as highlighted by the National Energy Group's procurement statistics, which involve over 140,000 projects annually [2]. - The Chinese bidding and procurement industry is undergoing a digital transformation, with the China Tendering and Bidding Association working on an action plan to implement AI in procurement processes, aiming for 40-45% automation by 2026 in China [3].

其中，朗进科技董事长、实际控制人李敬茂被处以440万元罚款（作为实际控制人罚款300万元，作为直 接负责的主管人员罚款140万元）。 山东证监局查明，2024年2月至2025年7月，朗进科技及其子公司直接或通过第三方公司与控股股东青岛 朗进集团有限公司（以下简称"朗进集团"）及其子公司发生关联方非经营性资金占用，累计发生额为 41520.63万元。 其中，2024年2月至6月关联方非经营性资金占用发生额为8648.70万元，截至2024年6月30日，关联方非 经营性资金占用余额为248.70万元。朗进科技未及时披露也未在2024年半年报披露上述关联方非经营性 资金占用，2024年半年报存在重大遗漏。 2024年7月至2025年7月关联方非经营性资金占用发生额为32871.93万元。朗进科技未及时披露上述关联 方非经营性资金占用。截至2025年8月，朗进集团已偿还上述关联方非经营性资金占用本息。朗进科技 2024年年报、2025年半年报披露了上述关联方非经营性资金占用情况。 【组织指使非经营性资金占用 朗进科技实控人李敬茂被罚440万元】朗进科技（300594.SZ）2026年1月 15日披露，当日收到山东证监 ...

中经记者陈燕南北京报道 在当前百年未有之全球科技大变局下，智能网联汽车作为交通及汽车领域培育新质生产力、构建现代化 产业体系的战略支点，近年来在我国迎来快速发展，正迈入高阶辅助驾驶普及、示范应用推进关键期。 近日，《中国经营报》记者获悉，由中国汽车工业协会全资子公司智库——中国汽车工业经济技术信息 研究所有限公司编撰的《2025城市NOA汽车辅助驾驶研究报告》发布，从行业背景、市场格局分析、 未来趋势展望、发展建议等多个维度，剖析了城市NOA技术及产业的发展态势，旨在为行业企业提供 参考，助力我国智能网联汽车产业高质量发展。 《报告》显示，2025年1—11月，我国搭载城市NOA功能的乘用车累计销量达312.9万辆，渗透率占乘用 车上险量的15.1%。2025年1—11月，搭载城市NOA功能的乘用车销量中，自主品牌销量达到253.73万 辆，占比达到81.1%；全球知名汽车品牌已开始选择与国内头部第三方供应商合作以实现在智驾领域的 突破。 "NOA（导航辅助驾驶）技术作为智能网联汽车应用的核心抓手，是衔接高阶辅助驾驶与完全自动驾驶 的关键桥梁，更是提升用户出行体验、彰显智能化价值的核心载体，其发展水平直接关乎 ...

北京市国资委党委委员、副主任贺昂表示，北京市国资委推动形成了上市数量与募集规模领先的多元 REITs集群，REITs已成为服务首都功能、探索国有资本高效循环的重要战略工具。市国资委将继续支 持京能集团等企业用好资本市场，为REITs发展提供"北京经验"，为做强做优国有资本贡献力量。 1月15日，中航京能光伏封闭式基础设施REIT（交易代码：508096）扩募份额正式在上海证券交易所上 市。 （编辑：罗辑 审核：夏欣 校对：颜京宁） 云南省保山市人民政府副市长崔华清指出，此次水电站资产成功上市，是保山市深化国企改革、盘活存 量资产的关键突破，为当地建设千万千瓦级多能互补清洁能源基地、打造"绿电+先进制造业"示范区提 供了支撑。作为云南省首单水电公募REITs，该项目成为绿色金融与能源产业融合的示范样本，为"十五 五"能源投资注入了新动力。 中经记者 郝亚娟 夏欣 上海、北京报道 本次扩募不仅盘活了存量绿色能源资产、优化了企业资产负债结构，还通过水光互补效应平滑现金流、 分散区域气候风险，显著提升了基金的整体抗风险能力，为后续新能源基础设施REITs扩募提供了可借 鉴的资产配置和运营管理经验，对推动公募REITs ...

Core Insights - The introduction of the "Intelligent Procurement Platform" by iFLYTEK aims to address the inefficiencies and risks in traditional procurement processes, positioning it as a "smart factory" for procurement capabilities [1][5] - The platform significantly reduces the time for preparing bidding documents from an average of 5-7 working days to just 30 minutes, with a bid detection accuracy of 96% and an overall evaluation efficiency improvement of over 70% [1] Group 1: Industry Challenges - Traditional procurement models face issues such as high risks, low efficiency, high costs, and difficult supervision, as highlighted by the National Energy Group's procurement statistics [1] - The National Energy Group manages over 140,000 procurement projects annually, involving 1,385 purchasers and 200,000 bidding documents, leading to substantial resource consumption [1] Group 2: Technological Advancements - The National Energy Group has adopted a strategy for "intelligent and unmanned" procurement since 2022, resulting in the automation of the entire procurement process with no human intervention [2] - Over 8,200 projects have achieved unmanned procurement within five months, and the intelligent review system has been applied to over 180,000 projects with a review accuracy of over 97% [2] Group 3: Market Trends - The digital transformation in the bidding and procurement industry is crucial for high-quality development, with a focus on AI-driven automation [3] - Gartner predicts that by 2026, over 40% of global public procurement processes will be AI-driven, with China's market potentially reaching 40%-45% due to favorable policies and rapid AI technology implementation [3]