Core Viewpoint - The banking industry is experiencing a significant salary reduction trend, particularly affecting high-level executives, with a notable increase in the number of banks reporting salary cuts and the extent of these reductions [2][3][5]. Group 1: Salary Reduction Trends - In 2023, 14 out of 42 listed banks in A-shares reported a decline in average salary, with the maximum drop reaching 13.59%. This number increased to 18 banks in 2024, with the maximum decline expanding to 15% [2]. - The total compensation for bank management decreased from 870 million yuan in 2023 to 700 million yuan in 2024, a drop of 19.5%. Meanwhile, the average salary for bank employees fell from 462,300 yuan to 444,900 yuan, a decrease of 2.68% [6][7]. Group 2: Executive Salary Cuts - A significant 78.5% of the management teams in listed banks saw their salaries decrease year-on-year in 2024. The average salary for executives in various banks has been notably impacted, with some banks experiencing drastic reductions [5][10]. - Specific banks like Everbright Bank and Zhejiang Commercial Bank saw executive salary reductions of 57.9% and 39.72%, respectively, indicating a trend where executive pay is being cut more severely than that of general employees [10]. Group 3: Factors Influencing Salary Changes - The primary driver of salary fluctuations in banks is the variable component of compensation, which is heavily influenced by the banks' revenue and profit conditions. The floating salary constitutes 65% of the total compensation, making it a critical factor [12][13]. - The banking sector is facing significant revenue pressures, with the average net interest margin dropping to 1.52% in 2024, a decline of 17 basis points from 2023. This has led to a 2.20% decrease in net interest income, marking two consecutive years of negative growth [14][15]. Group 4: Structural Adjustments and Policy Impacts - The banking industry is undergoing structural adjustments, with a focus on risk management and governance. Policies such as the "salary limit order" have imposed constraints on executive compensation, leading to a shift in how salaries are structured [16][17]. - The emphasis on "cost reduction and efficiency enhancement" has resulted in banks prioritizing compensation for frontline and value-creating positions, further contributing to the decline in executive salaries [18][17]. Group 5: Performance-Based Salary Recovery - The trend of "reverse salary recovery" has emerged, where banks reclaim performance bonuses from executives based on risk management failures. This practice aims to align compensation with long-term risk management rather than short-term performance [20][21]. - The total amount reclaimed through reverse salary recovery has approached 99 million yuan, indicating a significant shift in the banking industry's approach to executive compensation and risk management [20].

Core Viewpoint - The article provides a comprehensive analysis of the 13 urban commercial banks in Zhejiang Province, focusing on their shareholder structure, asset and liability conditions, operating income, profit situation, and asset quality. Shareholder Situation - Among the 13 urban commercial banks, Ningbo Bank and Hangzhou Bank are publicly listed on the A-share market. Zhejiang Tailong Commercial Bank and Zhejiang Chouzhou Commercial Bank have their top three shareholders primarily from private entities. Taizhou Bank's largest shareholder is China Merchants Bank [2][3]. Asset Situation - By the end of 2024, Ningbo Bank's total assets reached 3.13 trillion yuan, ranking first among urban commercial banks in Zhejiang, closely followed by Zhejiang Zheshang Bank at 3.33 trillion yuan. Hangzhou Bank's total assets were 2.11 trillion yuan, while Wenzhou Bank had 505.39 billion yuan, ranking third [4][6]. - The total assets of the other 10 banks were all below 500 billion yuan, with Ningbo Donghai Bank having the lowest at 19.12 billion yuan. All 13 banks showed positive growth in total assets compared to the end of 2023, with Ningbo Donghai Bank experiencing a significant increase of 37.19% [5][6]. Liability Situation - The ranking of liabilities among the 13 banks corresponds with their total assets, with growth rates generally aligning with asset growth [8][9]. - Core liabilities for these banks are primarily deposits, with Ningbo Donghai Bank having a deposit-to-liability ratio of 92.92%, and Taizhou Bank at 90.20%. The two publicly listed banks have deposit ratios below 65% [11]. Operating Income Situation - Ningbo Bank led with an operating income of 66.63 billion yuan in 2024, followed by Hangzhou Bank at 38.38 billion yuan. Three banks, including Tailong Bank, Taizhou Bank, and Chouzhou Bank, reported operating incomes exceeding 10 billion yuan [12][13]. - All 13 banks maintained positive growth in operating income, with Ningbo Donghai Bank showing the highest growth rate of 32.19% [13][14]. Profit Situation - Ningbo Bank achieved the highest net profit of 27.22 billion yuan in 2024, surpassing Zhejiang Zheshang Bank. Hangzhou Bank's net profit was 16.98 billion yuan [15][19]. - Other banks had net profits below 5 billion yuan, with Ningbo Donghai Bank reporting only 0.61 billion yuan [17][19]. Asset Quality and Other Situations - The overall asset quality of the 13 banks is good, with seven banks reporting non-performing loan (NPL) ratios below 1%. Both Ningbo Bank and Hangzhou Bank had NPL ratios of 0.76% [20][23]. - In terms of provision coverage ratio, Hangzhou Bank had the highest at 541.45%, while Min Tai Bank had the lowest at 134.27% [21][23]. - Tailong Bank reported the highest net interest margin at 3.71%, while Shaoxing Bank had the lowest at 1.23% [24].

Core Viewpoint - Data is being recognized as the fifth production factor, significantly reshaping the balance sheets of commercial banks as they actively explore and incorporate data resources into their financial statements [1][2]. Group 1: Importance of Data Resource Integration - The integration of data resources into financial statements is crucial for commercial banks to accelerate digital transformation and enhance their ability to serve the real economy [1][2]. - The implementation of the "Interim Provisions on the Accounting Treatment of Corporate Data Resources" has provided a framework for converting data resources into data assets [2][3]. - The ongoing development of data resource integration is expected to accelerate as policies and evaluation methods improve [1][5]. Group 2: Current Practices and Examples - Several national joint-stock banks and city commercial banks have begun the process of integrating data resources into their financial statements, establishing standardized procedures for data inventory, rights confirmation, and valuation [3][4]. - For instance, as of the end of 2024, banks like Hengfeng Bank and China CITIC Bank reported data resource values of 1.01 million and 4.94 million respectively, while Everbright Bank's data resource scale exceeded 18 million [3][4]. Group 3: Challenges and Future Directions - Despite the initial steps taken, the scale of data resource integration in commercial banks remains limited compared to other industries, with the need for a unified and authoritative evaluation method being a significant challenge [5][8]. - The complexity of data resource valuation and the need for diverse assessment methods for different types of data are major hurdles in the integration process [9][8]. - The establishment of a comprehensive data asset valuation framework by the China Banking Association aims to address these challenges and facilitate the integration of data resources into financial statements [9][10]. Group 4: Collaborative Efforts for Advancement - Collaboration among government, industry associations, and enterprises is essential to advance the integration of data resources into financial statements [10][11]. - Recommendations include enhancing data lifecycle management, improving IT infrastructure, and fostering talent development to support data governance and accounting processes [10][11].

Group 1 - The event titled "AI Navigation: Cross-Border Intelligence Transformation - How Cross-Border E-Commerce Companies Can Capitalize on Non-U.S. Markets" was successfully held, focusing on enhancing "overseas efficiency" and "intelligent financial collaboration" [1] - Over 80 business guests attended the event, which aimed to assist companies in achieving low-cost and high-efficiency market layouts through various effective tools [1] - The event featured a presentation by Ningbo Bank's corporate platform department, introducing the "Bobo Zhiliao" platform that offers a one-stop cross-border solution, including over 20 services such as overseas customer acquisition, legal consulting, and tax planning [3] Group 2 - The event included discussions on AI-driven brand marketing innovation and how it can enhance premium capabilities, presented by Xnurta's General Manager [3] - A senior partner from Xunying Technology discussed the implementation of AI in human compliance management, emphasizing the importance of establishing a secure human resource framework for cross-border sellers [3] - The event facilitated in-depth discussions among participants regarding the practical applications of AI in cross-border e-commerce, overseas strategies, and tax compliance [3] Group 3 - The event served as a decision-making reference for companies facing complex economic environments, bridging cooperation between government, banks, and enterprises [4] - Ningbo Bank's Shenzhen branch plans to continue collaborating with business associations to launch a series of financial support activities, promoting innovation in the "technology + finance" service model [4] - The initiative aims to help companies shorten innovation cycles and overcome resource barriers, contributing to high-quality regional economic development [4]

——"碳"路绿色发展，答好支持重点领域和金融高质量供给的必答题 当前，数字技术为绿色金融赋能绿色发展与绿色创新提供了良好契机。宁波银行南京分行进一步强化金 融科技运用，实现专业赋能，为实体经济发展创造价值，通过互联网、云计算、大数据等科技手段赋能 绿色金融发展。围绕国内绿色金融和碳中和政策创新产品体系，重点支持国家鼓励的节能环保、清洁能 源、基础设施绿色升级改造产业，推出碳排放配额质押贷款、创新排污权抵押贷款、公益林补偿收益权 质押贷款等绿色信贷产品，支持企业绿色发展。截至2024年12月末，宁波银行南京分行绿色金融贷款余 额超50亿元。 绿色是中国式现代化的鲜明底色，也是金融高质量发展的一抹亮色。近年来，宁波银行南京分行积极践 行"绿水青山就是金山银山"的发展理念，以公益化、数字化推进"生态金融、能源金融、转型金融"特色 化服务体系，助力美丽中国建设和"双碳"目标的实现。 ——"绿"动城市脉搏，答好生态保护与经济发展的双选题 "万物各得其和以生，各得其养以成。"宁波银行南京分行积极联动各级政府、省市文旅及监管部门长效 开展"池杉湖湿地生态建设""玄武湖荷花节""六合荷花节""长江大保护"等超20场系列公益专 ...

Group 1: Loan Growth and Economic Support - The company aims to maintain high loan growth by expanding financial services to key sectors such as small and micro enterprises, manufacturing, and consumer spending, supported by government policies [2] - The focus on enhancing financial service quality is expected to contribute to steady loan scale growth [2] Group 2: Dividend Growth - The company has increased its cash dividend to 9 yuan per 10 shares (before tax) for the 2024 profit distribution, marking the second consecutive year of dividend growth [2] - Stable dividends are considered a crucial part of shareholder returns, with a commitment to balance dividends with internal capital growth [2] Group 3: Capital Supplementation Plan - The capital adequacy ratio was reported at 15.32% as of the end of 2024, indicating a strong position within the industry [2] - The company plans to issue up to 45 billion yuan in capital bonds to further strengthen its capital base [2] Group 4: Compliance and Communication - The company ensured that all communications during the investor relations activity adhered to disclosure regulations, with no significant undisclosed information leaked [2]

Investment Rating - The report maintains an "Overweight" rating for banks and securities [9] Core Views - The report highlights the growth in wealth management products and the expansion of ETF assets, driven by the continuous improvement in the capital market's financing reforms [1][2] - It suggests seizing opportunities in high-quality individual stocks, recommending banks like China Merchants Bank and Ningbo Bank, as well as securities firms like GF Securities and Orient Securities [1] Summary by Sections Wealth Management - In May 2025, the total number of wealth management products issued was 5,400, a month-on-month decrease of 9.8% [2][16] - The total outstanding scale of bank wealth management products reached 31.29 trillion yuan, an increase of 0.35 trillion yuan month-on-month, primarily driven by fixed-income products [2][39] - The average yield of bank wealth management products remained stable at 2.52% [2] Public Funds - As of the end of May 2025, the total market size of public funds was 32.03 trillion yuan, with a month-on-month increase of 0.35% and a year-on-year increase of 10% [3][16] - The issuance of public funds in May was 64.1 billion units, a month-on-month decrease of 31% [3][16] - The ETF assets saw a slight increase in net value, with the benchmark credit bond ETF contributing significantly to the growth [3] Securities Asset Management - As of Q4 2024, the scale of securities asset management was 6.10 trillion yuan, a quarter-on-quarter decrease of 3% [4][16] - In May 2025, the new issuance was 1.337 billion units, a month-on-month decrease of 55% [4] Private Funds - By the end of April 2025, the total scale of private fund products was 20.22 trillion yuan, with a month-on-month increase of 1.28% [5][16] - In April, the newly registered scale of private funds was 64.4 billion yuan, a year-on-year increase of 83% [5] Insurance Asset Management - As of Q1 2025, the balance of insurance fund utilization reached 34.93 trillion yuan, an increase of 5% since the beginning of the year [6][16] - The allocation ratio of bonds and stocks increased month-on-month [6] Trusts - In May, the issuance scale of trust products was 17.2 billion yuan, a month-on-month decrease of 64% [7][16]

被视为债市"科技板"的科创债新政落地后，市场主体发行科创债的热度持续攀升。 以发行起始日计，5月7日新规落地后的首月（截至6月7日），已有221只科创债正式发行，募集资金规模超 4000亿元，同比增长3倍还多。 新获发行资质的银行、券商等金融机构共发行科创债2303亿元； 其中，16家银行发债超2000亿元，凭借五成以上的份额成为科创债的绝对主力与最大增量。 科创债起源于双创债实践，后为以科创公司债（交易所）与票据（银行间）为主要品种。 5月7日，央行、证监会联合提出丰富科创债产品体系的13条具体举措，通过金融机构与股权投资机构的双 重扩容，构建覆盖科创企业全生命周期的融资链条； 同日，交易商协会、银行间市场、三大交易所宣布优化科创债发行、交易等环节。 5月14日，科技部、央行等7个部门发布《加快构建科技金融体制有力支撑高水平科技自立自强的若干政策 举措》，再提建立债市"科技板"。 密集的新规推动下，科创债发行量持续走向高峰。 超3倍增量入市 科创债新政落地首月，新发科创债已达221只、募资4027亿元，两项数据同比增幅分别为130.21%、 322.12%。 科创债基于科创企业类、升级类、投资类、孵化类等属 ...

Core Viewpoint - The article highlights the robust development of the private economy in Ningbo, supported by various financial institutions and policies aimed at enhancing financial services for private enterprises [1][11]. Financial Support Policy System - The People's Bank of China Ningbo Branch is actively constructing a financial support policy system, collaborating with local government departments to optimize financial services for private enterprises [2]. - Over the past three years, Ningbo has injected 240 billion yuan in various central bank re-loans and rediscount funds, with over 2.5 billion yuan in loans issued to more than 9,000 technology-based enterprises [2]. - As of April 2025, the loan balance for private enterprises in Ningbo reached 1.64 trillion yuan, accounting for 54.7% of total enterprise loans [3]. Mechanism Innovation to Enhance Service Efficiency - Ningbo Tongshang Bank has established a unique innovation ecosystem for technology enterprises, providing comprehensive financial services and support [4]. - The bank's incubation base has served over 30 enterprises, addressing various needs and conducting 165 training activities, resulting in nearly 10 million yuan in cost savings for these enterprises [4]. Digital Empowerment Leading Service Innovation - Ningbo Bank has developed a comprehensive service platform called "Bobo Zhila," offering 22 professional services and two specialized platforms to assist enterprises in various operational challenges [7]. - The bank has provided a 100 million yuan group credit line and utilized supply chain financial tools to offer 50 million yuan in specialized financing to a foreign trade enterprise, reducing financing costs to 2.3% [7][8]. Precision Support Accompanying Enterprise Growth - Agricultural Bank of China has supported Ningbo Longyuan Co., Ltd. throughout its growth stages, providing tailored financial products and services, including a project loan of 320 million yuan for capacity expansion [9][10]. - The bank has established a specialized branch for technology enterprises, focusing on different development stages and using a differentiated evaluation system to assess enterprises based on their core technologies and market potential [10].

Core Viewpoint - The value of data as a resource is gradually being released, with various industries moving towards incorporating data resources into their financial statements since the implementation of the interim regulations by the Ministry of Finance in 2024 [1] Group 1: Data Resource Incorporation - Various banks are beginning to recognize data resources as intangible assets, with institutions like Hengfeng Bank being the first to do so in August 2023 [2] - As of 2024, banks such as Citic Bank, Everbright Bank, and Ningbo Bank have also started to incorporate some data resources into their financial statements, although the overall number remains limited [2] - The value of data resources recognized by banks is relatively small, with Citic Bank reporting a net value of RMB 494,000 for its data resources as of the end of 2024 [2] Group 2: Potential and Challenges - Large and medium-sized banks possess rich data resources and have a solid foundation for data governance, indicating significant potential for data resource extraction [3] - Some banks are actively working on data asset inventory, rights confirmation, and valuation, with Qilu Bank elevating data governance to a strategic level [3] - However, many smaller banks are still in the data governance phase, with data quality needing improvement before they can effectively create value from data assets [3] Group 3: Ownership and Valuation Issues - The definition and ownership of data assets in banks remain ambiguous, with no standardized definition available for the industry to follow [4] - The challenges of defining data assets stem from the need to clarify data ownership and establish pricing based on that ownership [5] - Questions arise regarding the ownership of customer data collected during business transactions, particularly concerning the bank's rights to classify such data as assets without customer authorization [6]