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Socio-economic status, resilience, and vulnerability of households under COVID-19: Case of village-level data in Sichuan province

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  • Imran Ur Rahman
  • Deng Jian
  • Liu Junrong
  • Mohsin Shafi

Abstract

This paper investigates economic impacts of COVID-19 on households based on differences in the socio-economic status (SES). We determine the household-level effects of the COVID-19 shock using income sources, types of industries, communities’ resilience, household susceptibility, and relevant policy measures. For this purpose, we used primary data of 555 households collected through snowball sampling technique using an online survey questionnaire from different villages mostly located in Sichuan Province, China. Using step-wise binary logistic regression analysis, we estimated and validated the model. Results suggest the use of SES as a better measure for understanding the impacts of COVID-19 on different households. We find that households with low SES tend to depend more on farmland income and transfer payments from the government. Contrarily, high SES households focus more on business and local employment as sources of income generation. Poor households were less resilient and more likely to fall back into poverty due to COVID-19, while the opposite stands true for non-poor households with high SES. Based on the estimations, policies encouraging employment and businesses complemented with loans on lower interest rates are recommended, which may increase the SES, thus minimizing vulnerability and enhancing the households’ resilience towards poverty alleviation and economic shocks.

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  • Imran Ur Rahman & Deng Jian & Liu Junrong & Mohsin Shafi, 2021. "Socio-economic status, resilience, and vulnerability of households under COVID-19: Case of village-level data in Sichuan province," PLOS ONE, Public Library of Science, vol. 16(4), pages 1-22, April.
    • Handle: RePEc:plo:pone00:0249270
    DOI: 10.1371/journal.pone.0249270
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    References listed on IDEAS

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    1. Andy Sumner & Christopher Hoy & Eduardo Ortiz-Juarez, 2020. "Estimates of the impact of COVID-19 on global poverty," WIDER Working Paper Series wp-2020-43, World Institute for Development Economic Research (UNU-WIDER).
    2. Jalan, Jyotsna & Ravallion, Martin, 1998. "Transient Poverty in Postreform Rural China," Journal of Comparative Economics, Elsevier, vol. 26(2), pages 338-357, June.
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    2. Pearl Anne Ante-Testard & Francois Rerolle & Anna T. Nguyen & Sania Ashraf & Sarker Masud Parvez & Abu Mohammed Naser & Tarik Benmarhnia & Mahbubur Rahman & Stephen P. Luby & Jade Benjamin-Chung & Ben, 2024. "WASH interventions and child diarrhea at the interface of climate and socioeconomic position in Bangladesh," Nature Communications, Nature, vol. 15(1), pages 1-13, December.

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