Using Marol Market and other adjucent areas frequently affected by flood, the quantitative primary data from the 20 SMEs shows that 95% of the population was affected by flood displacement between 2020 and 2023. The resulting impacts last over a month and accounted for unsettling businesses, reducing capitals while other businesses broke down completely. The sampled population shows that 65% of the SMEs were women who were burdened by caregiving works, substandard public utilities and services and inadequate support from formal institutions.
On top of their important roles in providing household incomes and other local urban responsibilities, SMEs are always deprived from most Disaster Risk Management (DRM) and recovery initiatives. Majority of the respondents lacked access to early warning system but relied instead on traditional sources while only 15% had limited accesses to climate information. The study used quantitative data analysis to determine the consequences of induced-flood
displacement on SMEs using the SPSS Data. The results show that the resilience and recovery of the SMEs affected by flood are not adequately supported by the existing DRM frameworks in South Sudan due to lack of prioritization. The results also show that there are existing postdisaster business resilience gaps essential for more inclusive sustainable economic recovery strategies that need longitudinal studies to monitor the recovery process of the flood-affected SMEs over time. This research contributes to the broader understanding of climate-induced displacement and literature in under-researched contexts and calls for inclusive, data-driven, and climate-conscious approaches to SME support. The study recommended that SMEs must be actively integrated into DRM frameworks and supported through improved infrastructure, access to microfinance, early warning systems, and climate education.
Keywords: Flood, Small to Medium-sized Enterprises, resilience, early warning, flood-induced
displacement, disaster risk management, capital, households.