Background
The HAOR region, a 19,998 sq. km wetland ecosystem in Bangladesh's northeastern region, is renowned for its rich fishing, biodiversity, and boro-rice cultivation. However, its people are poorer due to wet monsoon seasonality and most of them opted for microcredits to meet the food insecurity situation. The study aims to investigate how poverty reduction is impacted concurrently by microcredits, social safety net programs (SSNPs), flash floods, and COVID-19.
Methods
Following a cross-sectional study design, primary data were gathered from 634 beneficiaries and 273 non-beneficiary households across 30 rural clusters in the HAOR region of Bangladesh. Using multiple binary logistic regression models, the study assessed the effects of microcredits, SSNPs, floods, and COVID-19 on poverty conditions.
Results
The hardcore poverty status of the study households was estimated based on the severe and moderate food insecurity conditions. It was found that 32.08% of households were poor (hardcore) in 2022, while it was 37.10% in 2019. According to the separate models, microcredit and SSNPs had a favorable effect on non-poverty conditions, raising non-poverty status for families receiving SSNPs and microcredit by 43% and 73%, respectively. Floods and COVID-19, on the other hand, had a detrimental effect on the graduation from hardcore poverty. According to the combined model, there was a substantial impact of microcredit status, flood catastrophes, and COVID-19 on non-poverty status. Microcredit increases the chance of not being impoverished by 58%, whereas flood and COVID-19 decrease it by 35% and 41%, respectively. It was also shown that whereas the SSNP receiving status was significant in the individual model, it was insignificant in the combined model.
Conclusion
Microcredit and SSNP can reduce the poverty of the residents of the Haor region of Bangladesh and policymakers should increase accessibility and widespread implementation of these initiatives along with resistance to flash floods.