Year: 2025
Type: article
Abstract: This study aims to examine the impact of the COVID-19 pandemic on the Chinese labor market, with a focus on unemployment rates. This research provides a relatively comprehensive analysis of how different factors influence employment, such as different age groups, industries, and the duration of first-level emergency response. The study uses the data from the National Bureau of Statistics of China, covering the period from 2018 to 2022, and includes a regression model to assess the correlation between the duration of first-level emergency response measures and unemployment rates. The findings reveal that while emergency measures were essential for controlling the virus, their impact on unemployment was minimal. This study offers crucial insights for policymakers to make more former decisions when facing an epidemic to minimize negative effects on the unemployment rate.
Authors: Ruiyang Jin, Feiran Jing, Yanning Song, Chenshuo Zhang
Institution: Shanghai Polytechnic University
Language: English
Topic: COVID-19 Pandemic Impacts
Subfield: Economics and Econometrics
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4411132367