This study explores climate justice foundations for adaptation financing in vulnerable African regions, focusing on Libya as a case study. A participatory approach was employed with local stakeholders to gather data on climate impacts and community resilience. Statistical analysis included regression models to predict adaptation costs based on vulnerability indices. Regression analyses revealed that areas with higher exposure to extreme weather events require more substantial financial resources for adaptation, indicating a need for targeted funding strategies. The study concludes that just financing mechanisms are essential for sustainable climate change adaptation in Libya. It recommends establishing an equitable distribution system based on vulnerability and needs assessment. Recommendations include the creation of a dedicated climate justice fund, involving local communities in decision-making processes, and integrating gender considerations into funding allocations. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.