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

Author

Listed:
  • Yong Ge

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Mengxiao Liu

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Shan Hu

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Daoping Wang

    (Shanghai University of Finance and Economics)

  • Jinfeng Wang

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Xiaolin Wang

    (Fudan University)

  • Sarchil Qader

    (University of Southampton
    University of Sulaimani)

  • Eimear Cleary

    (University of Southampton)

  • Andrew J. Tatem

    (University of Southampton)

  • Shengjie Lai

    (University of Southampton
    University of Southampton
    Fudan University)

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.

Suggested Citation

  • Yong Ge & Mengxiao Liu & Shan Hu & Daoping Wang & Jinfeng Wang & Xiaolin Wang & Sarchil Qader & Eimear Cleary & Andrew J. Tatem & Shengjie Lai, 2022. "Who and which regions are at high risk of returning to poverty during the COVID-19 pandemic?," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-9, December.
  • Handle: RePEc:pal:palcom:v:9:y:2022:i:1:d:10.1057_s41599-022-01205-5
    DOI: 10.1057/s41599-022-01205-5
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    2. Mindsponge, AISDL, 2022. "Watching our SM3D paper’s footprints," OSF Preprints sf5vr, Center for Open Science.

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