Work Resumption Rate and Migrant Workers' Income During the Covid-19 Pandemic
Bibliographic Data
| ID | 22076015 |
|---|---|
| Authors | Jiaxiang Li (0000-0003-0478-1409, Northwest A&F University), Baoju Chu (0000-0002-7879-0298, University of Nottingham Ningbo China, corresponding author), Nana Chai (0000-0002-1146-165X, Northwest A&F University), Bi Wu (0000-0002-1151-1848, Research Center for Rural Economy), Baofeng Shi (0000-0003-1244-5886, Northwest A&F University, corresponding author), Feiya Ou (0000-0001-8289-4025, University of Manchester) |
| Year | 2021 |
| Volume | 9 |
| Pages | 678934-678934 |
| Publication date | 2021-05-21 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2021.678934 |
| PMID | 34095076 |
| OpenAlex | W3165686479 |
| Language | EN |
| Citations received | 4 |
| References cited | 42 |
The COVID-19 public health crisis has quickly led to an economic crisis, impacting many people and businesses in the world. This study examines how the pandemic affects workforces and workers' income. We quantify the impact of staggered resumption of work, after the coronavirus lockdowns, on the migrant workers' income. Using data on population movements of 366 Chinese cities at the daily level from the Baidu Maps-Migration Big Data Platform and historical data on the average monthly income of migrant workers, we find that the average work resumption rate (WRR) during the period of the Chinese Lantern Festival was 25.25%, which was only 30.67% of that in the same matched lunar calendar period in 2019. We then apply Gray Model First Order One Variable [GM (1, 1)] to predict the monthly income of migrant workers during the period of the COVID-19 pandemic. We show that, if without the influence of the COVID-19 pandemic, the average monthly income of migrant workers in 2020 will be expected to increase by 12% compared with 2019. We further conduct scenario analysis and show that the average monthly income of migrant workers in 2020 under the conservative scenario (COS), medium scenario (MES), and worse scenario (WOS) will be predicted to decrease by 2, 21, and 44%, respectively. Through testing, our prediction error is <5%. Our findings will help policymakers to decide when and how they implement a plan to ease the coronavirus lockdown and related financial support policies
Business · Demographic economics · Economic growth · Economics · Migrant workers · Pandemic · Population · Sociology · COVID-19 epidemiological studies · COVID-19 impact on air quality · COVID-19 Pandemic Impacts · Demography · Engineering · Medicine
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| Unique citing works | 4 |
|---|---|
| Citations per year | 0,8 |
| Citation span | 2021 - 2025 (5) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 2 |