江苏加快探索数字经济创新发展新路径

Core Insights - The National Bureau of Statistics has approved the establishment of national digital economy innovation development pilot zones in Jiangsu and six other provinces, emphasizing a problem-oriented approach and systematic layout to address key issues in data marketization and digital industry integration [1] - Jiangsu province is recognized as a major player in the digital economy, showcasing a diverse development model that includes various cities focusing on different aspects of the digital economy, such as data processing and algorithm development [1] Group 1: Pilot Zone Construction - The pilot zones will focus on seven key tasks including resource allocation, infrastructure, innovation, industry transformation, and governance, encouraging local experimentation and the sharing of successful practices at a national level [1] - Jiangsu will undertake 31 out of 158 reform initiatives outlined for the pilot zones, indicating its significant role in the national strategy [1] Group 2: Data Marketization and Infrastructure - The provincial data bureau plans to implement a comprehensive reform of data marketization, establishing a unified data trading hub and improving data property rights mechanisms [2] - There will be a three-year action plan to enhance public data utilization, aiming to create a thriving data trading ecosystem that transforms data from a policy concept into a core engine for economic value [2] Group 3: Data Industry Development - Initiatives will be taken to cultivate and expand data enterprises, including the establishment of a key data enterprise cultivation database and the development of provincial data industry parks [3] - The focus will be on creating a robust data industry ecosystem that supports the development of data resources and public service platforms, particularly in data-intensive sectors like artificial intelligence [3] Group 4: Infrastructure and Application Scenarios - The strategy includes a combination of policies to enhance data infrastructure, such as the integration of computing power and data circulation facilities [4] - There will be efforts to explore high-value data application scenarios through competitions and case studies, promoting the integration of artificial intelligence across various industries [4]