基于大数据的技术性贸易措施情报预警模式探究  

Research on Intelligence Early Warning Mode of Technical Trade Measures Based on Big Data

作　　者：王淼 唐妍琪 王若雅 朱思婍 WANG Miao;TANG Yan-qi;WANG Ruo-ya;ZHU Si-qi(China National Institute of Standardization;Chinese Academy of International Trade and Economic Cooperation)

机构地区：[1]中国标准化研究院 [2]商务部国际贸易经济合作研究院

出　　处：《标准科学》2024年第6期46-52,共7页Standard Science

基　　金：中央基本科研业务费项目“技术性贸易措施影响评估方法与实证研究”(项目编号:292023Y-10407)资助。

摘　　要：大数据时代,海量的数据资源迫使人们以大数据思维看待世界和解决问题,各个领域都开启了量化进程。由于情报预警在情报分析的目的、面临的环境、数据的来源类型以及产出形式等方面有其独特性,利用大数据技术对其进行分析会更加具有针对性。本文首先对当前国内技术性贸易措施情报预警模式的现状进行了汇总分析,接着构建了基于大数据的新型技术性贸易措施情报预警技术,并在此基础上进一步提出了针对该模式配套工作的具体建议。文章旨在为我国在贸易领域的情报应急决策提供有力支持,为我国的贸易发展贡献智慧与力量。In the era of big data,massive data resources force people to look at the world and solve problems with big data thinking,and various fields have started the process of quantification.As intelligence early warning is unique in the aspects of the purpose of intelligence analysis,the environment faced,the type of data sources and the output form,using big data technology to analyze it will be more targeted.This paper first summarizes and analyzes the current situation of the domestic TBT intelligence early warning mode,and then constructs a new TBT intelligence early warning technology based on big data,and further puts forward specific suggestions for the supporting work of this mode.It aims to provide support for China’s information emergency decision-making in the field of trade,and contribute wisdom to China’s trade development.

关 键 词：技术性贸易措施 情报预警模式 大数据 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]