基于网络爬虫和大数据技术的技术性贸易措施应对研究

Research on Countermeasures for Technical Trade Measures Based on Web Crawler and Big Data Technology

摘要: 随着国际贸易的不断深化，贸易保护主义逐渐抬头，技术性贸易措施的应用愈发频繁，其复杂性和多样性对我国企业出口带来了严峻挑战。为增强企业对技术性贸易措施的应对能力，本文在系统梳理技术性贸易措施现状及影响的基础上，探讨利用网络爬虫和大数据技术构建一个更加高效、精准的技术性贸易措施应对系统。这套系统不仅可以对全球最新的技术法规、标准和合格评定程序的变化进行实时监控，还可以对潜在的风险进行大数据分析和预测，为企业决策提供具有前瞻性的支持。该研究为我国企业借助现代信息技术手段更好地规避风险、提高合规水平提供了新的思路和方法，促进了我国技术性贸易措施应对水平的提升。

Abstract: With the continuous deepening of international trade, trade protectionism has been on the rise, and the application of technical measures to trade has become increasingly frequent. Their complexity and diversity pose severe challenges to the export of Chinese enterprises. To enhance enterprises’ ability to respond to technical trade measures, this paper systematically reviews the current situation and impact of technical trade measures and explores the integration of web scraping and big data technologies to build a more efficient and accurate response system of technical trade measures. This system can not only monitor in real time changes in global technical regulations, standards, and conformity assessment procedures, but also conduct big data analysis and prediction of potential risks, providing forward-looking support for corporate decision-making. This study offers new ideas and methods for Chinese enterprises to better avoid risks and improve compliance levels through modern information technology, thereby promoting the enhancement of China’s capacity to address technical trade measures.