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基于大数据的技术性贸易措施情报预警模式探究

王淼 唐妍琪 王若雅 朱思婍

标准科学Issue(6):46-52,7.
标准科学Issue(6):46-52,7.DOI:10.3969/j.issn.1674-5698.2024.06.007

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

王淼 1唐妍琪 1王若雅 1朱思婍2

作者信息

  • 1. 中国标准化研究院
  • 2. 商务部国际贸易经济合作研究院
  • 折叠

摘要

Abstract

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

Key words

technical trade measures/intelligence early warning mode/big data

引用本文复制引用

王淼,唐妍琪,王若雅,朱思婍..基于大数据的技术性贸易措施情报预警模式探究[J].标准科学,2024,(6):46-52,7.

基金项目

本文受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. (项目编号:292023Y-10407)

标准科学

1674-5698

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