专家解读 | 以高质量发展为旨归 有效释放数据要素价值

Core Viewpoint - The issuance of the "Opinions" by the National Data Bureau aims to enhance the construction of data element disciplines and digital talent teams, focusing on improving total factor productivity and developing new quality productivity to accelerate the high-quality development of China's digital economy [1][11]. Group 1: Importance of "Two Constructions" for High-Quality Development - Enhancing total factor productivity is a core indicator of developing new quality productivity and is essential for high-quality development [2][13]. - The growth of total factor productivity is driven by technological revolutions, resource allocation efficiency improvements, new industrialization, new infrastructure, carbon neutrality, and deeper reforms [2][13]. - Empowering artificial intelligence with data and deepening the market-oriented reform of data elements are crucial for strengthening and optimizing the digital economy [2][13]. Group 2: Digital Talent Development - There is a structural contradiction in the supply and demand of digital talent in China, with a gap of 25 to 30 million digital talents in 2023, which is expanding annually [3][14]. - The development of the digital economy requires a deep integration of education, talent, industry, and innovation chains [3][14]. - The "Opinions" emphasize the need for a multi-level, composite digital talent training system to activate the value of data elements [4][15]. Group 3: Multi-Pathways for Digital Talent Cultivation - The "Opinions" stress the importance of creating a collaborative ecosystem for industry-education integration, supporting partnerships between universities, research institutions, and enterprises [7][17]. - It encourages the establishment of data-related disciplines in higher education and the development of a talent training mechanism that connects undergraduate, master's, and doctoral programs [5][16]. - The focus is on practical training and interdisciplinary knowledge to meet the diverse needs of different industries [8][18]. Group 4: Organized Research in Data Field - The release of data value faces theoretical and practical challenges, necessitating innovation in theory and practice to enhance total factor productivity [9][19]. - The rapid development of AI as a core technology in the new round of technological revolution requires deep integration with vast amounts of data [9][19]. - The "Opinions" outline the main research directions in the data field, emphasizing interdisciplinary integration and organized research to solidify the foundation of scientific research [10][20].