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

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 inco

SUBMITTER: Ur Rahman I 

PROVIDER: S-EPMC8084142 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature