| Sumario: | This study aims to provide a better understanding of the recent vast literature on gender agricultural productivity issues in sub-Saharan Africa (SSA). Due to some discrepancies in research findings, a systematic review and a meta-analysis methods are applied to synthesize the gender agricultural productivity gap (GAPG), and its main drivers as well as to explore the bias when using different empirical approaches of estimation. Overall, 61 studies are selected using the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) flowchart. Results show that factors related to access and control over productive resources are the main drivers of the GAPG in SSA. Adjusting for publication bias yields a benchmark estimate of 14% of the gap, based primarily on land productivity or output value. The magnitude of this common trend varies by geographical region but not by household framework used. Policy interventions aimed at reducing gender gap in SSA should then be context specific. Furthermore, the meta-regression analysis results reveal that GAPG estimates are affected by study characteristics like gender of the researchers and use of cross-sectional or panel data.
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