Background of the study:
Flooding is a recurrent natural hazard that significantly disrupts economic activities in vulnerable regions. In Asaba, Oshimili South Local Government Area, Delta State, frequent flood events have profound impacts on local traders, whose livelihoods depend on stable market conditions (Eze, 2023). Flooding not only causes physical damage to infrastructure and merchandise but also interrupts supply chains, leading to revenue losses and increased operational costs. Recent climate change studies have highlighted the escalating frequency and severity of flood events, thereby exacerbating the vulnerability of local economies (Olu, 2024). Furthermore, traders in flood-prone areas often lack adequate insurance coverage and contingency planning, making recovery from such events slow and uncertain (Okafor, 2025). This study examines the economic impact of flooding on local traders, exploring both direct financial losses and the broader implications for community resilience and market stability. The findings aim to inform strategies for flood mitigation and improved support mechanisms for affected traders (Eze, 2023).
Statement of the problem:
Local traders in Asaba are significantly affected by recurring flood events, which disrupt business activities and lead to substantial income losses. The lack of effective flood management and insurance coverage exacerbates economic vulnerabilities, making it imperative to assess the extent of these impacts (Olu, 2024).
Objectives of the study:
Research questions:
Research Hypotheses:
Significance of the study:
This study is significant as it provides an in-depth analysis of the economic repercussions of flooding on local traders, offering policy recommendations to strengthen flood resilience and protect the livelihoods of affected communities (Ibekwe, 2023).
Scope and limitations of the study:
The study is limited to the economic impacts of flooding on local traders in Asaba, Oshimili South Local Government Area. It excludes other flood-related issues such as health impacts or broader regional effects. Data constraints and seasonal variations may affect the findings.
Definitions of terms:
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