大数据视域下失业监测机制优化 ：机遇与挑战

为实现“十四五”规划提出的“健全就业需求调查和失业监测预警机制”,基于大数据开展失 业监测具有显著的实践意义。本研究在梳理和总结国内外关于就业失业的理论基础上采用文献分析法、访谈法, 分析基于大数据进行失业监测的应用逻辑,进而梳理国内外相关实践及其存在的突出问题,为失业预警机制的 建立健全提供参考。研究提出基于大数据开展失业监测的优化路径：首先建立政府引导、网站提供数据和学界 提供指导的三方合作机制,其次盘点和分类国内招聘网站等劳动力市场的互联网媒介,进而尽快开发和构建搜 索引擎关键词库,并引入专业的社会智库参与,最后强化政府监管力度。

On Optimizing Unemployment Monitoring Mechanism in the Perspective of Big Data: Opportunities and Challenges

To realize the "establishment of a sound job demand investigation and unemployment monitoring early-warning mechanism" proposed in the 14th Five-Year Plan, it is of practical signifi cance to use big data for unemployment monitoring. After summarizing the theoretical basis of employment and unemployment domestically and internationally, this study, employing literature analysis and interviews, analyzes the application logic of unemployment monitoring based on big data. The study further sorts out relevant practices and prominent issues at home and abroad, and provides references for the establishment of a sound unemployment early-warning mechanism. The research proposes an optimizing path for unemployment monitoring based on big data: fi rst, set up a three-way cooperation mechanism guided by the government, with website-provided data and academic guidance; second, check and classify internet media of the domestic labor market such as recruitment websites, quickly develop and construct search engine keyword libraries, and incorporate professional social think tanks, and fi nally, strengthen government regulatory efforts.