"十五五"时期，地方政府要打造服务新要素的新型金融模式，关键在于围绕新要素的价值 形成、资本支持和生态协同三方面系统发力，为培育新质生产力和推进创新驱动提供持续动 力。 编者按："十五五"规划建议强调坚持有效市场和有为政府相结合的原则，充分发挥市场在资 源配置中的决定性作用，更好发挥政府作用，构建统一、开放、竞争、有序的市场体系。金融市 场是推动要素资本化和证券化的重要媒介，"十五五"时期要实现经济高质量发展，还需各地政府 在推进全国统一金融大市场建设的基础上，从各地发展条件和产业结构出发，加快探索具有地方 特色的金融服务体系。申万宏源研究和新华财经共同策划推出《"金融有为"——地方纵横谈》， 从地方发展金融市场面临的核心问题出发，梳理了过往地方金融改革实践中形成的五大发展模式 ——区域金融中心模式、科技产业金融循环模式、政府投行招商模式、金融服务新要素模式、地 方特色金融服务模式。值此之际，以期为"十五五"时期地方探索"金融有为"之路提供一些思路参 考。 作者：申万宏源研究 杨成长、龚芳、方思元、曾培春 以数据、技术为代表的新要素正在成为引领经济增长的新动能、重塑产业体系的新引擎。"十 五五"规划建议提出要 ...

Core Insights - The article discusses the implementation of data intellectual property (IP) pilot programs in Zhejiang Province, highlighting its potential to transform data resources into new economic growth drivers [1] Group 1: Institutional Framework - Zhejiang has established a regulatory framework for data IP, incorporating it into two local laws and creating a registration system involving ten departments, which has led to the issuance of 22,000 registrations from 27 provinces, enhancing data vitality [2] - The registration certificates serve as preliminary proof for data ownership, circulation, and rights protection, effectively safeguarding data rights [2] Group 2: Data Trading and Services - The "Shuzhitong" integrated service platform for data IP has been launched, connecting eight national trading platforms and 180 service agencies, facilitating smoother data transactions [2] - The platform has pushed 7,006 data IP items and achieved 1,126 successful conversions, generating a total transaction value of 3.914 billion [2] Group 3: Value Realization - A total of nearly 7.7 billion has been realized through various data IP utilization paths, including trading, financing, and cross-border circulation [3] - Notable cases include a data IP "going abroad" agreement with a South Korean company and the first pure data IP securitization product launched in Hangzhou [3] Group 4: Application Scenarios - Six key products have been identified to enhance data value in sectors like AI, marine data, traditional crafts, agriculture, creative industries, and urban traffic management [4] - For instance, AI data sets have seen 860 high-quality registrations, and a data-driven agricultural project has improved product quality by 20% [4] Group 5: Rights Protection - A national data IP court has been established, creating a secure environment for data rights protection by integrating with judicial systems [5] - A major tech group has implemented a dual protection strategy combining business secrets and data IP, successfully winning over 30 million in a recent unfair competition case [5]