摘要
外贸是国民经济的重要支撑,随着数字经济的蓬勃发展,数据要素逐渐成为推动外贸高质量发展的关键力量。从理论逻辑来看,数据要素通过优化内部供给、激活外部需求和助力数字治理,为我国外贸高质量发展提供动力。然而,目前数据要素在赋能外贸高质量发展的过程中仍然面临着数据质量与安全隐私问题、数据技术与人才瓶颈和数据应用场景与价值转化困境等阻碍。为此,应聚焦数据质量与安全隐私提升、突破数据技术与人才瓶颈、破解数据应用场景与价值转化困境,以进一步释放数据要素潜能,推动外贸高质量发展。
As a crucial pillar of the national economy,foreign trade is increasingly driven by data factors as key enablers of high‐quality development in the digital economy era.Theoretically,data elements contribute to high‐quality foreign trade growth by optimizing internal supply,activating external demand,and facilitating digital governance.However,several challenges persist in this process,including data quality and security and privacy issues,bottlenecks in data technology and talent,and difficulties in data application scenarios and value transformation.To address these issues,this study proposes focusing on enhancing data quality and security privacy,breaking through data technology and talent bottlenecks,and resolving challenges in data application scenarios and value transformation.These efforts aims to further unleash the potential of data elements and further promote the high-quality development of China’s foreign trade.
作者
郑光进
李民
ZHENG Guangjin;LI Min(Department of International Economic and Business,Fujian Business University,Fuzhou 350001 China)
出处
《广州城市职业学院学报》
2025年第3期51-55,共5页
Journal Of Guangzhou City Polytechnic
基金
国家社会科学基金一般项目资助“数据要素化驱动农业新质生产力发展的机制与路径优化研究”(编号:24BJY160)。
关键词
数据要素
外贸高质量发展
数字经济
Data Elements
High-quality Development of Foreign Trade
Digital Economy
