贸易物流中大数据监管探究  

Exploring Big Data Supervision in Trade Logistics

作　　者：罗君名[1] 韩阳 LUO Junming;HAN Yang(School of Economics and Management,Hainan Normal University,Haikou 571158,China)

机构地区：[1]海南师范大学经济与管理学院,海南海口571158

出　　处：《物流科技》2025年第1期49-51,共3页Logistics Sci Tech

基　　金：海南省高等学校教育教学改革研究项目“数智化视域下国际商务(专硕)专业建设及改革研究”(Hnjg2023-51);海南省自然科学基金项目“数字经济视角下海南智慧旅游高质量发展研究”(721RC552)。

摘　　要：大数据是数据量大、类型多样、处理速度快的数据集合,大数据是能够洞察一切的互联网之眸。将大数据新技术融入到贸易物流监管体系中,可以对物流各个环节进行全方位、细致的监管,极大地提高贸易物流监管的效率与执行力,特别是大数据能够提供全面的贸易和物流管理大视图,有利于提升贸易和物流行业的透明度。可以通过构建大数据监管的理论基础,优化大数据监管的流程,积极培育大数据监管人才等,来进一步优化大数据监管。Big data is a collection of data with a large volume,diverse types,and fast processing speed.Big data is the eye of the Internet that can provide insight into everything.Integrating new technologies of big data into the trade logistics supervision system can provide comprehensive and detailed supervision of all aspects of logistics,greatly improving the efficiency and execution of trade logistics supervision.In particular,big data can provide a comprehensive view of trade and logistics management,which is conducive to enhancing the transparency of the trade and logistics industry.By building a theoretical foundation for big data regulation,optimizing the process of big data regulation,and actively cultivating big data regulatory talents,we can further optimize big data regulation.

关 键 词：贸易物流 大数据 数智化 物流监管 

分 类 号：F253.9[经济管理—国民经济]