How Does Small-Scale Mining Stabilize Rural Livelihoods in Sub-Saharan Africa? The Case of Mozambique

• The linkages between artisanal and small-scale mining (ASM) and farming are examined in sub-Saharan Africa through a case of Manica Province, Mozambique. • Highlights the importance of drawing on quantitative data when investigating this phenomenon. • Quantitative data provide detail on the demographics of communities engaged in ASM and agriculture, and spending patterns of households involved. • A conceptual model was developed to analyze these quantitative data, which. • Reveals how the ages/educational levels of household heads, and the sizes of their families, shape views on ASM/agriculture in Manica Province. This paper examines the linkages between subsistence farming and artisanal and small-scale mining (ASM) – low-tech, labor-intensive mineral extraction and processing – in sub-Saharan Africa, focusing on the case of Mozambique. While the body of literature on this subject is burgeoning, it is comprised mostly of conceptual pieces and country case studies that rely heavily on qualitative data. Focusing on Manica Province, long an epicentre of small-scale gold mining activity in Mozambique, the paper showcases the value of including complementary quantitative data in analyses of ASM-farming linkages in rural sub-Saharan Africa. In particular, quantitative data that provide detail on the demographical composition of communities engaged in both ASM and agriculture, and which shed light on the spending patterns of households involved, could go a long way toward enriching dialogues on this subject, and, in the process, yield more effective (and, indeed, representative) rural development and poverty alleviation strategies in the region. The data gathered in Manica Province provide a more nuanced picture of how the ages and educational levels of household heads, and the sizes of their families, shape views on ASM and agriculture in gold-rich sections of Mozambique. Studies exploring the linkages between ASM and agriculture in sub-Saharan Africa that feature both qualitative and quantitative data provide greater clarity on the role each activity could play in tackling some of the region’s broader development challenges, including food insecurity and (building) community resilience.