Evidence map›Paper›PMID 35162343›Full record

ArticleInternational journal of environmental research and public health2022

The Unequal Effect of the COVID-19 Pandemic on the Labour Market and Income Inequality in China: A Multisectoral CGE Model Analysis Coupled with a Micro-Simulation Approach.

Qi Zhang, Xinxin Zhang, Qi Cui, Weining Cao, Ling He, Yexin Zhou, Xiaofan Li, Yunpeng Fan

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Socio-economic outcomes of COVID-19 on the marginalised: Who have taken the hardest hit?International journal of disaster risk reduction : IJDRR · 2023
    Article
  5. Article
  6. Article
  7. The Impacts of COVID-19 Shock on Intergenerational Income Mobility: Evidence from China.International journal of environmental research and public health · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Qi ZhangSchool of Economics and Resource Management, Beijing Normal University, Beijing 100875, China.
Xinxin ZhangSchool of Economics and Resource Management, Beijing Normal University, Beijing 100875, China.
Qi CuiSchool of Economics and Resource Management, Beijing Normal University, Beijing 100875, China.ORCID 0000-0002-3704-8257
Weining CaoSchool of Economics and Resource Management, Beijing Normal University, Beijing 100875, China.
Ling HeSchool of Economics and Resource Management, Beijing Normal University, Beijing 100875, China.
Yexin ZhouSchool of Economics and Resource Management, Beijing Normal University, Beijing 100875, China.ORCID 0000-0002-5688-4613
Xiaofan LiSchool of Economics and Resource Management, Beijing Normal University, Beijing 100875, China.
Yunpeng FanInstitute of Finance & Banking, Chinese Academy of Social Sciences, Beijing 100710, China.

Funding

National Natural Science Foundation of China 71773010National Natural Science Foundation of China 71903014
6 · The paper itself

Abstract

The COVID-19 pandemic had an unequal impact on the employment and earnings of different labourers, consequently affecting households' per capita income and income inequality. Combining a multisector computable general equilibrium model of China with a micro-simulation approach, this study aims to analyse the unequal effect of the COVID-19 pandemic on China's labour market and income inequality. The results confirm the unequal impact of the pandemic on the employment and earnings of different labourer types. Labourers who are female, live in urban areas, and have relatively low education levels would suffer greater losses in employment and earnings. The pandemic would reduce household per capita income by 8.75% for rural residents and 6.13% for urban residents. While the pandemic would have a larger negative impact on the employment and earnings of urban labourers, it would have a greater negative impact on the household per capita income of rural residents. Moreover, the per capita income of low-income households is more vulnerable to the pandemic, and the number of residents living below the poverty line would increase significantly. Thus, the pandemic would aggravate income inequality in China and threaten the livelihoods of poor families. This study could inform researchers exploring the distributional effect of the COVID-19 pandemic in developing countries.

Indexed as

COVID-19PandemicsChinaFemaleHumansIncomeSARS-CoV-2Socioeconomic FactorsCGE modelCOVID-19 pandemicincome inequalitylabour marketthe micro-simulation approach

Identifiers

PMID35162343
PMCPMC8835274

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.