Disastrous consequence of coronavirus pandemic on the earning capacity of individuals: an emerging economy perspective

Emon Kalyan Chowdhury ()
Additional contact information
Emon Kalyan Chowdhury: Chittagong Independent University

SN Business & Economics, 2022, vol. 2, issue 10, 1-16

Abstract: Abstract This study aims to explore the consequence of COVID-19 pandemic on the income flow of individuals in Bangladesh from sociodemographic perspective. Multinomial logistic regression model has been applied to achieve the objectives using primary data which were collected from respondents covering different professions, income levels, education, marital status, age and area. The results indicate employees of informal sectors and daily labors are the worst sufferers having no income followed by private sector employees with partial income loss and public sector employees with either slight or no income loss. It is further observed that individuals with higher education and people living in rural areas are less affected. This study recommends a few short-term policies to resolve immediate crisis caused by pandemic and long-term policies to alleviate inequality by providing necessary facilities to the marginalized and vulnerable population in the society.

Keywords: COVID-19; Financial crisis; Income inequalities; Marginalized people; Multinomial logistic regression model; Poverty; D31; J23; I131 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (30)

Downloads: (external link)
http://link.springer.com/10.1007/s43546-022-00333-z Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:snbeco:v:2:y:2022:i:10:d:10.1007_s43546-022-00333-z

Ordering information: This journal article can be ordered from
https://www.springer.com/journal/43546

DOI: 10.1007/s43546-022-00333-z

Access Statistics for this article

SN Business & Economics is currently edited by Gino D'Oca

More articles in SN Business & Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().