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RDA:数据要素价值化探索
2025-07-16 15:25
Summary of RDA Conference Call Industry Overview - The conference focuses on the Real Digital Assets (RDA) sector, particularly in the context of data as a production factor in China, which is the first country to recognize data in accounting reports [4][12]. Key Points and Arguments - **RDA Concept**: RDA represents a method of expressing real assets through authentic data, differing from Real World Assets (RWA) which primarily tokenizes existing financial products. RDA emphasizes the use of continuous, real data for effective trading and management in capital markets [3][5]. - **Data Standardization Challenges**: RDA faces challenges such as data standardization, authenticity verification, and clarity of property rights. Industry standards are necessary to address these issues [6][8]. - **Shanghai Data Exchange Innovations**: Since its establishment in 2021, the Shanghai Data Exchange has focused on cross-organizational data flow and has launched the first RW product, tokenizing the equity of Malu grapes, highlighting the need for real data to express real assets [5][9]. - **Market Growth Projections**: The cross-organizational data flow market is expected to exceed 1 trillion yuan by 2030, with a growth rate of over 25% annually [23]. - **Data Resource Shell (DAS)**: DAS is crucial for packaging real-world assets, enhancing transparency and investor trust by reflecting operational activities and property rights [8][9]. - **Global vs. Chinese Development**: Global RWA development focuses on financial product tokenization, while China emphasizes integration with the real economy, particularly in agriculture, to address information disclosure issues [7][10]. - **Data Asset Capitalization**: Data resource providers can achieve assetization and capitalization by collaborating with financial institutions and utilizing blockchain technology for automatic confirmation of rights and benefits [11][19]. Additional Important Insights - **Investment Decision Support**: The development of artificial intelligence aids in investment decision-making by providing more transparent and real-time data expressions [2][10]. - **Data Management Evolution**: Companies have evolved through stages of data management, from internal data organization to becoming significant data suppliers [13][14]. - **Regulatory Environment**: The regulatory landscape is crucial for the successful integration of data assets with financial markets, with ongoing efforts to align domestic practices with international standards [17][26]. - **Current Market Applications**: Data assets have seen practical applications in financial markets, with examples such as the Shanghai Data Exchange's loan balance exceeding 1 billion yuan in 2024 [24]. - **Challenges in Cross-Border Operations**: There are complexities in data and capital flow between domestic and Hong Kong markets, necessitating improvements in compliance and operational mechanisms [26]. This summary encapsulates the essential discussions and insights from the RDA conference call, highlighting the industry's current state, challenges, and future prospects.