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The escalating frequency of riverbank erosion in Bangladesh has led to a marked increase in the number of internally displaced persons (IDPs) who are deprived of essential services such as adequate housing, employment, healthcare, and security. In response, various interventions have been implemented by government bodies, private sectors, and non - governmental organizations to mitigate the impacts of displacement. A notable recent initiative is the countrywide Ashrayan-2 project, targeting the rehabilitation of the landless- homeless people with a vision to uplift their livelihoods. As a representative sample of those eligible for resettlement, the IDPs' challenges are examined in this study, followed by an assessment of interventions in the Ashrayan Project in a riverbank erosion context. Employing Participatory Rural Appraisal (PRA) techniques and the Sustainable Livelihoods Framework (SLF), this qualitative research shows the issues that the Ashrayan-2 project addressed and those that were not. The findings of this study offer insights and recommendations for future interventions and resettlement project design , considering the needs and challenges of IDPs and current project beneficiaries.

Microfinance offers a powerful tool for poverty reduction, providing disadvantaged individuals with access to credit, fostering micro-entrepreneurship, and improving their livelihoods. However, the urban poor encounter challenges inflicted by climate change. The community, largely facing financial hardships and poor living conditions, can contribute to mitigation and adaptation to climate change. However, the community often lacks mitigation and adaptation knowledge which affect them most. While microfinance institutions (MFIs) have empowered them through offering credit for micro-enterprises, they have failed to harness the “social capital” of the MF borrowers in mitigation and adaptation to climate change.

The economic trend of a region plays a crucial role in the overall development and growth of a nation. This paper aims to assess the impact of different industries on the economic trend of the Dhaka region in Bangladesh. Specifically, it focuses on determining the contribution of regional GDP to the national GDP through various industries. To achieve the aim, this study employs a short-run and a long-run approach of regional economic structure analysis. The short-run analysis allows for an examination of the immediate impact of industries on the Dhaka region's economic trend. On the other hand, the long-run analysis considers the sustained effects of industries over an extended period. Data for this research paper were collected from government reports, statistical databases, and are industry specific data. The analysis encompassed a wide range of sectors such as manufacturing, services, agriculture, and construction, among others to do short run and long run analysis by calculating economic base multiplier, national share, industry mix shift share and regional shift share. The results of this study provide a comprehensive understanding of the industries that have a substantial contribution to the economic trend of the Dhaka region. Furthermore, it provides insights into the extent of the region's impact on the national GDP through these industries as it determines regionally and nationally fast or slow growing industries. The findings from this research demonstrate that Dhaka Region’s industries contributed 19% of the national GDP in 1999–2000, showcasing its economic importance which outpaced national average growth of industries but faced challenges in some sectors. This study sheds light on the short and long-term impacts of different industries on the economic trend of the Dhaka region in Bangladesh.

The paper examines the relationship between income inequality and economic growth in Bangladesh, focusing on urban-rural disparities, sectoral changes, and policy interventions. It assumes an inverted U-shaped relation between inequality and growth while debating the Kuznets Curve and the role of human capital in mitigating inequalities. The paper finds that while inequality may stimulate industrial growth in urban areas, rural areas face barriers to access to capital, education, and infrastructure resources. This restricts rural economies’ participation and widens inequality. The Gini coefficient has increased from 0.33 in 1991 to 0.49 in 2020, indicating that urban-based inequality is related to industrial growth, but benefits are not realized equally. By reviewing a total of 30 studies to analyze the relationship, this paper calls for a multidimensional policy approach that addresses disparities, improves infrastructure, and fosters inclusive growth through investments in education, technology, and financial inclusion. Further research should be undertaken on how climate change, digital transformation, and sector-specific policies may impact the economy in terms of inequality and sustainable growth