Author
Listed:
- Mohammad Mafizur Rahman
(School of Business, University of Southern Queensland, Toowoomba 4350, Australia)
- Khosrul Alam
(Department of Economics, Bangabandhu Sheikh Mujibur Rahman Science and Technology University, Gopalganj 8100, Bangladesh)
Abstract
In this paper, we have examined the effects of COVID-19 on the socio-economic condition of the three-wheeled electric vehicle drivers in some selected areas of Bangladesh from the cross-sectional data (September–November 2020). The results of linear regression indicate that under COVID-19 conditions, age ( p = 0.022) and hardship ( p = 0.000) positively, and education ( p = 0.036), driving duration ( p = 0.023), COVID consciousness ( p = 0.086) and easy bike vehicle ( p = 0.000) negatively affects income of the respondents. The deaths of COVID in the district ( p = 0.003), income ( p = 0.000), age ( p = 0.037), easy bike vehicle ( p = 0.018), debt ( p = 0.059) and sufferings of diseases ( p = 0.044) positively, and property holdings ( p = 0.028), residence in urban areas ( p = 0.004) and COVID consciousness ( p = 0.082) negatively affect the family expenditure. The results from binary logistics regressions show that diseases sufferings (adjusted p = <0.001; unadjusted p = <0.001), corona fear (unadjusted p = 0.005; adjusted p = <0.001) have positive, and income (unadjusted p = <0.001; adjusted p = <0.001), cooking fuel (unadjusted p = 0.003; adjusted p = 0.091) and easy bike vehicle (unadjusted p = <0.001; adjusted p = 0.288) have negative association with hardship or misery due to COVID-19; death of COVID-19 in the district (unadjusted p = 0.008; adjusted p = 0.037), hardship or misery (adjusted p = 0.005; adjusted p = 0.001), and urban dwelling area (unadjusted p = 0.002; adjusted p = 0.004) have positive, and access to pure drinking water (unadjusted p = 0.005; adjusted p = 0.011) has negative link with corona fear; and, family savings (unadjusted p = 0.001; adjusted p = 0.013), satisfaction in the current job (unadjusted p = <0.001; adjusted p = <0.001), and government medical service (unadjusted p = 0.065; adjusted p = 0.012) have positive affiliation, and household size (unadjusted p = 0.007; adjusted p = 0.020) has negative affiliation with the continuation desire of the current job of respondents. All the obtained results are consistent and have significant policy implications.
Suggested Citation
Mohammad Mafizur Rahman & Khosrul Alam, 2022.
"The Effects of COVID-19 on the Socio-Economic Conditions of Marginal People: A Case Study in the Selected Districts of Bangladesh,"
Sustainability, MDPI, vol. 14(16), pages 1-14, August.
Handle:
RePEc:gam:jsusta:v:14:y:2022:i:16:p:10018-:d:887109
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