Correlation matrix table.

To unearth the influence of climate finance (CF) on women-hunger alleviation in Sub-Saharan Africa (SSA), the study used unbalanced panel data for 43 SSA countries for the period 2006–2018. Data was analysed using system-GMM to deal with the endogeneity problem inherent in the model, among other panel regression estimators. Also, the sensitivity of the estimates was carried out using panel fixed effect quantile regression. The findings showed that CF and its components have a significant effect on women-hunger alleviation in SSA, apart from FDI. Further, control of corruption also showed a significant women-hunger alleviation impact. For the climate variables, areas in SSA with higher temperature are more likely to experience worsened women-hunger. Based on the findings, the study recommends that SSA countries need to strengthen their fight against corruption. More so, donors should extend CF as financial aid or support to government budget, due to their potential of alleviating women-hunger.