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Who and which regions are at high risk of returning to poverty during the COVID-19 pandemic?

Who and which regions are at high risk of returning to poverty during the COVID-19 pandemic?
Who and which regions are at high risk of returning to poverty during the COVID-19 pandemic?
Pandemics such as COVID-19 and their induced lockdowns/travel restrictions have a significant impact on people’s lives, especially for lower-income groups who lack savings and rely heavily on mobility to fulfill their daily needs. Taking the COVID-19 pandemic as an example, this study analysed the risk of returning to poverty for low-income households in Hubei Province in China as a result of the COVID-19 lockdown. Employing a dataset including information on 78,931 government-identified poor households, three scenarios were analysed in an attempt to identify who is at high risk of returning to poverty, where they are located, and how the various risk factors influence their potential return to poverty. The results showed that the percentage of households at high risk of returning to poverty (falling below the poverty line) increased from 5.6% to 22% due to a 3-month lockdown. This vulnerable group tended to have a single source of income, shorter working hours, and more family members. Towns at high risk (more than 2% of households returning to poverty) doubled (from 27.3% to 46.9%) and were mainly located near railway stations; an average decrease of 10–50 km in the distance to the nearest railway station increased the risk from 1.8% to 9%. These findings, which were supported by the representativeness of the sample and a variety of robustness tests, provide new information for policymakers tasked with protecting vulnerable groups at high risk of returning to poverty and alleviating the significant socio-economic consequences of future pandemics.
Ge, Yong
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Liu, Mengxiao
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Hu, Shan
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Wang, Daoping
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Wang, Jinfeng
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Wang, Xiaolin
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Qader, Sarchil
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Cleary, Eimear
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Tatem, Andrew J.
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Lai, Shengjie
b57a5fe8-cfb6-4fa7-b414-a98bb891b001
Ge, Yong
f22fa40c-9a6a-456c-bdad-b322c3fd24ee
Liu, Mengxiao
71362048-644e-4deb-a2c0-dfb09382eb32
Hu, Shan
047e5178-f261-44ae-a2a8-7c29b4f8f474
Wang, Daoping
520bb4b0-27ed-495b-af3a-1388f513e8de
Wang, Jinfeng
3b2e15d2-baff-451c-8a30-d05c3970059f
Wang, Xiaolin
5a4fc54d-7ebe-4ddb-916a-fd1060aa01df
Qader, Sarchil
b1afb647-aeff-4bb8-84f2-56865c4eb9e4
Cleary, Eimear
3cbf7016-269e-4517-ab4f-323e86db6e58
Tatem, Andrew J.
6c6de104-a5f9-46e0-bb93-a1a7c980513e
Lai, Shengjie
b57a5fe8-cfb6-4fa7-b414-a98bb891b001

Ge, Yong, Liu, Mengxiao, Hu, Shan, Wang, Daoping, Wang, Jinfeng, Wang, Xiaolin, Qader, Sarchil, Cleary, Eimear, Tatem, Andrew J. and Lai, Shengjie (2022) Who and which regions are at high risk of returning to poverty during the COVID-19 pandemic? Humanities and Social Sciences Communications, 9 (1), [183]. (doi:10.1057/s41599-022-01205-5).

Record type: Article

Abstract

Pandemics such as COVID-19 and their induced lockdowns/travel restrictions have a significant impact on people’s lives, especially for lower-income groups who lack savings and rely heavily on mobility to fulfill their daily needs. Taking the COVID-19 pandemic as an example, this study analysed the risk of returning to poverty for low-income households in Hubei Province in China as a result of the COVID-19 lockdown. Employing a dataset including information on 78,931 government-identified poor households, three scenarios were analysed in an attempt to identify who is at high risk of returning to poverty, where they are located, and how the various risk factors influence their potential return to poverty. The results showed that the percentage of households at high risk of returning to poverty (falling below the poverty line) increased from 5.6% to 22% due to a 3-month lockdown. This vulnerable group tended to have a single source of income, shorter working hours, and more family members. Towns at high risk (more than 2% of households returning to poverty) doubled (from 27.3% to 46.9%) and were mainly located near railway stations; an average decrease of 10–50 km in the distance to the nearest railway station increased the risk from 1.8% to 9%. These findings, which were supported by the representativeness of the sample and a variety of robustness tests, provide new information for policymakers tasked with protecting vulnerable groups at high risk of returning to poverty and alleviating the significant socio-economic consequences of future pandemics.

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Submitted date: 30 September 2021
Accepted/In Press date: 16 May 2022
Published date: 25 May 2022
Additional Information: Funding Information: This work was supported by the National Natural Science Foundation for Distinguished Young Scholars of China (No. 41725006 and 81773498) and the Bill & Melinda Gates Foundation (INV-024911). Publisher Copyright: © 2022, The Author(s).

Identifiers

Local EPrints ID: 457891
URI: http://eprints.soton.ac.uk/id/eprint/457891
PURE UUID: 2fe85d76-2699-4937-b378-604b921ba01a
ORCID for Eimear Cleary: ORCID iD orcid.org/0000-0003-2549-8565
ORCID for Andrew J. Tatem: ORCID iD orcid.org/0000-0002-7270-941X
ORCID for Shengjie Lai: ORCID iD orcid.org/0000-0001-9781-8148

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Date deposited: 21 Jun 2022 18:13
Last modified: 17 Mar 2024 04:07

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Contributors

Author: Yong Ge
Author: Mengxiao Liu
Author: Shan Hu
Author: Daoping Wang
Author: Jinfeng Wang
Author: Xiaolin Wang
Author: Sarchil Qader
Author: Eimear Cleary ORCID iD
Author: Andrew J. Tatem ORCID iD
Author: Shengjie Lai ORCID iD

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