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两会 | 东亚银行李民斌:发挥香港优势,打造科创企业出海“超级服务商”
券商中国·2025-03-08 14:23

Core Viewpoint - The article discusses suggestions made by Li Minbin, Vice Chairman of the Social and Legal Affairs Committee of the National Committee of the Chinese People's Political Consultative Conference and Co-CEO of East Asia Bank, regarding the promotion of healthy development of the private economy, the international expansion of technology innovation enterprises, and the use of artificial intelligence to create new economic momentum [1]. Group 1: Support for Technology Innovation Enterprises - Li Minbin suggests leveraging Hong Kong's advantages as an international financial center to assist domestic technology innovation enterprises in expanding into international markets [2]. Group 2: Artificial Intelligence in Financial Development - The proposal includes enhancing cloud computing capabilities, gradually allowing large models to serve customers, and improving regulatory frameworks related to large models in the financial sector [3]. Group 3: Offshore RMB Hub Development - Li Minbin emphasizes the need to promote RMB internationalization by enhancing RMB international settlement, broadening offshore RMB investment channels, and exploring options for cross-border businesses to choose between onshore and offshore exchange rate channels [3]. Group 4: Innovation in Qianhai Financial Sector - Recommendations include piloting internal fund transfers for "dual-headquarters" enterprises in Qianhai, allowing qualified companies to freely allocate funds within a certain limit to support their domestic and international market development [3]. Group 5: Support for Private Enterprises - East Asia Bank plans to increase credit support for private enterprises, with annual credit issuance expected to exceed 50 billion yuan, and the proportion of credit to private enterprises to rise from 30% to around 50% [4]. - The bank aims to provide financing convenience for private enterprises through transaction banking products, particularly in supply chain finance, utilizing technology and transaction data to reduce financing costs [4]. - Efforts will be made to optimize loan processes to shorten financing chains for private enterprises and to set differentiated interest rates based on their risk profiles and operational conditions [5].