“十五五”数据资源开发利用系列解读三 数据有价 付费有为——加快培育为优质数据付费的市场意识

Core Viewpoint - The article emphasizes the importance of establishing a payment mechanism for high-quality data as a fundamental requirement for the marketization and valuation of data, which is essential for fostering a robust data market and enhancing the digital economy's growth potential [1][2][4]. Group 1: Importance of Paying for Quality Data - Paying for quality data is essential for recognizing its intrinsic value as a new production factor and is a key measure to overcome current data circulation challenges [1][2]. - The payment mechanism serves as a cost compensation and innovation incentive for data "factorization," ensuring that the value of data is recovered and distributed effectively [2][5]. - The market demand for quality data is rapidly increasing, with over 4,500 data products listed on the Shanghai Data Exchange in 2024, leading to a transaction volume exceeding 4 billion RMB, reflecting a diverse supply and rising value [3][4]. Group 2: Mechanisms and Challenges - The payment mechanism acts as a benchmark for data "valuation," helping to reflect market demand for different types and qualities of data, thus guiding data flow to areas where it can create the most value [4][5]. - There are significant challenges in recognizing the value of quality data, including a lack of stable payment expectations and insufficient capabilities of data circulation service institutions [7][8]. - The establishment of a payment mechanism is crucial for building a fair and efficient data market system, addressing issues like information asymmetry and enhancing transaction efficiency [5][6]. Group 3: Market Awareness and Cultural Shift - Cultivating a market culture that values payment for quality data is necessary for deepening market-oriented reforms and stimulating the internal growth of the digital economy [8][9]. - Government departments are encouraged to take the lead in establishing data transaction-related systems and promoting a consensus on the value of data [8][9]. - Enterprises should recognize the strategic value of paying for quality data as a means to enhance competitiveness and innovation capabilities, viewing it as a critical investment for future growth [9][10]. Group 4: Future Directions - There is a need to accelerate the development of a data factor market and enhance the positive incentives for paying for quality data, which will help eliminate low-quality data and ensure reasonable returns for quality providers [10][11]. - Establishing a unified data quality governance system and developing third-party evaluation and certification mechanisms are essential for improving market trust and reducing risks associated with information asymmetry [10][11]. - Supporting various data transaction models and financial products, such as data asset pledge financing and data insurance, will facilitate the flexible allocation of data across different scenarios [10][11].