The outbreak of the COVID-19 pandemic has had an unprecedented impact on China's labour market, and has largely changed the structure of labour supply and demand in different regions. It becomes critical for policy makers to understand the emerging dynamics of the post-pandemic labour market and provide the right policies for supporting the sustainable development of regional economies. To this end, in this paper, we provide a data-driven approach to assess and understand the evolving dynamics in regions' labour markets with large-scale online job search queries and job postings. In particular, we model the spatial-temporal patterns of labour flow and labour demand which reflect the attractiveness of regional labour markets. Our analysis shows that regional labour markets suffered from dramatic changes and demonstrated unusual signs of recovery during the pandemic. Specifically, the intention of labour flow quickly recovered with a trend of migrating from large to small cities and from northern to southern regions, respectively. Meanwhile, due to the pandemic, the demand of blue-collar workers has been substantially reduced compared to that of white-collar workers. In addition, the demand structure of blue-collar jobs also changed from manufacturing to service industries. Our findings reveal that the pandemic can cause varied impacts on regions with different structures of labour demand and control policies. This analysis provides timely information for both individuals and organizations in confronting the dynamic change in job markets during the extreme events, such as pandemics. Also, the governments can be better assisted for providing the right policies on job markets in facilitating the sustainable development of regions' economies.
翻译:新冠肺炎疫情的爆发对中国劳动力市场产生了前所未有的冲击,并显著改变了不同地区的劳动力供需结构。政策制定者亟需了解后疫情时代劳动力市场的新动态,并制定正确政策以支持区域经济可持续发展。为此,本文采用数据驱动的方法,利用大规模在线求职查询和职位招聘信息来评估和理解各地区劳动力市场的动态演变。具体而言,我们对反映区域劳动力市场吸引力的劳动力流动和劳动力需求的时空模式进行了建模。分析表明,疫情期间区域劳动力市场经历了剧烈变化,并呈现出不寻常的复苏迹象。具体而言,劳动力流动意愿迅速恢复,并呈现出从大城市向小城市、从北方地区向南方地区迁移的趋势。同时,受疫情影响,蓝领工人的需求相比白领工人大幅减少。此外,蓝领岗位的需求结构也从制造业转向服务业。我们的研究结果揭示了疫情对不同劳动力需求结构和控制政策的地区可能产生差异化影响。本分析为个人和组织在疫情等极端事件中应对就业市场的动态变化提供了及时信息,同时也有助于政府制定正确的就业市场政策,以促进区域经济的可持续发展。