数据+金融
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“数据+金融”激活创新动能
Xin Lang Cai Jing· 2026-01-21 21:34
Core Viewpoint - Jiangsu province, as a strong manufacturing and foreign trade hub, is focusing on the integration of data and finance to enhance its economic development and innovation capabilities [1] Group 1: Scientific Pricing - A reasonable pricing mechanism is essential for activating data value and promoting data circulation in the data factor market [2] - The establishment of a scientific data pricing system is crucial for financial innovation and efficient allocation of data factors [2] - The promotion of data asset recognition in financial statements is suggested to determine the value of data assets [2] Group 2: Data Foundation - A solid data foundation is necessary for the construction of the "data + finance" ecosystem, with a focus on data quality, ownership clarity, and secure circulation [3] - The creation of a unified financial data collection and governance platform involving government, financial institutions, and research organizations is recommended [3] - The establishment of a financial data classification and ownership guideline is proposed to clarify data ownership and usage rights [3] Group 3: Scene Expansion - Expanding application scenarios is key to unlocking the value of data in the "data + finance" ecosystem [4] - The development of innovative financial products based on data factors is encouraged to address issues like financing difficulties for small and micro enterprises [5] - A scene innovation incentive mechanism is suggested to support successful applications and promote a cycle of innovation and market feedback [5] Group 4: Strong and Active Chain - Collaboration among various stakeholders is essential to build a data circulation bridge and enhance the data financial cycle [6] - The establishment of a comprehensive data factor circulation system is necessary to improve data quality and facilitate market operations [6] - The introduction of innovative transaction models such as "data trust" and "data asset securitization" is recommended to achieve market-oriented data value circulation [6]
浇灌数字经济“成长树”
Jin Rong Shi Bao· 2025-08-08 07:55
Core Viewpoint - Nanjing Jianye High-tech Zone has emerged as a leading area for digital economy development, achieving significant growth in its core industries and attracting numerous enterprises, particularly in the "data + AI" sector [1][2][4]. Group 1: Digital Economy Development - Nanjing Jianye High-tech Zone ranks 36th nationally in the "Top 500 Provincial Development Zones for High-Quality Development," with 34 zones from Jiangsu Province listed [1]. - The digital economy's broad value-added contribution to GDP in Jianye High-tech Zone has exceeded 50% over the past five years, with core industry revenue projected to reach 60 billion yuan in 2024 [1]. - The zone has established a development pattern dominated by "finance + digital economy" and "headquarters economy + platform economy," attracting major enterprises and creating multiple billion-yuan industry tracks [1][2]. Group 2: Industry Cluster Effect - The zone has seen a continuous release of industry cluster effects, with a complete policy support system, quality industrial ecosystem, and sufficient talent supply attracting numerous tech and data enterprises [2][5]. - Key sectors such as finance, health, and transportation are actively applying data technologies, with significant investments in digitalization from local financial institutions [3][7]. Group 3: Financial Services and Innovation - Financial services play a crucial role in supporting the digital economy, with the Jianye High-tech Zone focusing on creating a "data + finance" ecosystem [7][9]. - The establishment of the "Jinyuzui Fund Street" has facilitated over 1,000 financing events, serving more than 2,500 projects and matching financing amounts exceeding 8 billion yuan [9][10]. - The zone is also launching a Long Triangle Data Element Roadshow Center to provide integrated data services and promote collaboration between enterprises and financial institutions [10].
探索破解传统养殖业融资难题 肉牛数据变身抵押资产(财经故事)
Ren Min Ri Bao· 2025-07-27 22:15
Group 1 - The traditional livestock financing model faces challenges due to high risks associated with live assets, making it difficult for farmers to secure loans [1] - A new data management platform has been established in Longjiang County, allowing for detailed digital records of livestock, which enhances the accuracy of loan assessments and reduces manpower costs [2] - The "data + finance" model is being rapidly replicated in other regions, such as Huachuan County, where 60% of livestock farmers have digital records, improving risk management in financing [2] Group 2 - The central government's policy emphasizes support for the beef and dairy industries, with agricultural credit guarantee systems responding by providing significant loan guarantees [3] - In the first four months of this year, Longjiang Agricultural Guarantee Company provided 279 million yuan in loan guarantees through various products [3] - Nationwide, the agricultural credit guarantee system has supported over 210,000 agricultural entities, directing more than 120 billion yuan in low-cost loans to essential agricultural sectors [3]