Managing the post COVID-19 new normal: Redressing vulnerabilities of different occupational groups through social contract of public sector transparency and accountability

The COVID-19 has had a significant impact on various occupational groups in Bangladesh, disrupting their fundamental necessities and everyday activities. This study examines the governance responses to these occupational groups, focusing on transparency and accountability through the lens of the social contract theory. Unlike prior studies focused on economic impacts, this study reveals how governance failures exacerbated vulnerabilities of a critical gap in pandemic literature. By employing a mixed-methods approach, this study integrated qualitative techniques (key informant interviews and focus group discussions) with quantitative surveys to analyze both primary data collected from 355 respondents and secondary data from institutional reports and scholarly literature. A significant association was found between the pandemic's impact and occupational groups ( X 2 (1, N = 355) =49.09, p = 0.000), highlighting job losses, reduced income, business closures, and salary deductions. A high prevalence of income dissatisfaction was observed, with 97.7 % of respondents expressing their discontent. Financial strain during different pandemic waves was evident, with t-values of 13.09 (first wave vs. pre-pandemic), −11.051 (first wave vs. second wave), and 8.073 (pre-pandemic vs. second wave), all p < 0.001. The government played a major role in providing food ( p = 0.000) and health ( p = 0.002) support; however, cash aid did not demonstrate statistical significance ( p = 0.138). Gender inequalities were apparent in the provision of relief aid, with notable discrepancies in food assistance ( p = 0.007), cash support ( p < 0.001), and healthcare aid (p < 0.001). The study findings highlight the gaps in accountability and transparency in distributing support services, offering valuable insights for policymakers and researchers to enhance the resilience of impoverished populations in future crises. The study reveals novel insights into gendered aid disparities, urban-rural perception gaps, and systemic shortcomings in social safety nets during crises. • Governance mechanism of risk management of different occupational groups in addressing COVID-19. • Pandemic impacted jobs unevenly: losses, pay cuts, lower income, and closed businesses. • Individuals receive assistance in the form of food, healthcare, and cash support. • Gender disparities in emergency assistance were clearly identified. • Discontentment was found among the communities that were assisted during pandemic.

Authors

Institutions

Publication Details

Journal
Progress in Disaster Science
Published
2025-07-30
DOI
https://doi.org/10.1016/j.pdisas.2025.100457
Primary Topic
COVID-19 Pandemic Impacts
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Managing the post COVID-19 new normal: Redressing vulnerabilities of different occupational groups through social contract of public sector transparency and accountability

Shamima Prodhan, Khondoker Mokaddem Hossain, Md. Juel Mia
Progress in Disaster Science
COVID-19 Pandemic Impacts
article

Managing the post COVID-19 new normal: Redressing vulnerabilities of different occupational groups through social contract of public sector transparency and accountability

Shamima Prodhan, Khondoker Mokaddem Hossain, Md. Juel Mia
article en

Abstract

The COVID-19 has had a significant impact on various occupational groups in Bangladesh, disrupting their fundamental necessities and everyday activities. This study examines the governance responses to these occupational groups, focusing on transparency and accountability through the lens of the social contract theory. Unlike prior studies focused on economic impacts, this study reveals how governance failures exacerbated vulnerabilities of a critical gap in pandemic literature. By employing a mixed-methods approach, this study integrated qualitative techniques (key informant interviews and focus group discussions) with quantitative surveys to analyze both primary data collected from 355 respondents and secondary data from institutional reports and scholarly literature. A significant association was found between the pandemic's impact and occupational groups ( X 2 (1, N = 355) =49.09, p = 0.000), highlighting job losses, reduced income, business closures, and salary deductions. A high prevalence of income dissatisfaction was observed, with 97.7 % of respondents expressing their discontent. Financial strain during different pandemic waves was evident, with t-values of 13.09 (first wave vs. pre-pandemic), −11.051 (first wave vs. second wave), and 8.073 (pre-pandemic vs. second wave), all p < 0.001. The government played a major role in providing food ( p = 0.000) and health ( p = 0.002) support; however, cash aid did not demonstrate statistical significance ( p = 0.138). Gender inequalities were apparent in the provision of relief aid, with notable discrepancies in food assistance ( p = 0.007), cash support ( p < 0.001), and healthcare aid (p < 0.001). The study findings highlight the gaps in accountability and transparency in distributing support services, offering valuable insights for policymakers and researchers to enhance the resilience of impoverished populations in future crises. The study reveals novel insights into gendered aid disparities, urban-rural perception gaps, and systemic shortcomings in social safety nets during crises. • Governance mechanism of risk management of different occupational groups in addressing COVID-19. • Pandemic impacted jobs unevenly: losses, pay cuts, lower income, and closed businesses. • Individuals receive assistance in the form of food, healthcare, and cash support. • Gender disparities in emergency assistance were clearly identified. • Discontentment was found among the communities that were assisted during pandemic.

Progress in Disaster ScienceVol. 27
University of Dhaka (BD)
University of Dhaka
Reduced inequalities
Openalex Percentile: Top 72%
COVID-19 Pandemic Impacts
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.