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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
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 an...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8835274/ https://www.ncbi.nlm.nih.gov/pubmed/35162343 http://dx.doi.org/10.3390/ijerph19031320 |
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author | Zhang, Qi Zhang, Xinxin Cui, Qi Cao, Weining He, Ling Zhou, Yexin Li, Xiaofan Fan, Yunpeng |
author_facet | Zhang, Qi Zhang, Xinxin Cui, Qi Cao, Weining He, Ling Zhou, Yexin Li, Xiaofan Fan, Yunpeng |
author_sort | Zhang, Qi |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8835274 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-88352742022-02-12 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 Zhang, Qi Zhang, Xinxin Cui, Qi Cao, Weining He, Ling Zhou, Yexin Li, Xiaofan Fan, Yunpeng Int J Environ Res Public Health Article 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. MDPI 2022-01-25 /pmc/articles/PMC8835274/ /pubmed/35162343 http://dx.doi.org/10.3390/ijerph19031320 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zhang, Qi Zhang, Xinxin Cui, Qi Cao, Weining He, Ling Zhou, Yexin Li, Xiaofan Fan, Yunpeng 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 |
title | 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 |
title_full | 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 |
title_fullStr | 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 |
title_full_unstemmed | 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 |
title_short | 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 |
title_sort | 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 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8835274/ https://www.ncbi.nlm.nih.gov/pubmed/35162343 http://dx.doi.org/10.3390/ijerph19031320 |
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