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Postharvest and storage of agricultural produce such as cowpea remains a significant challenge in sub-Sahara Africa. This study assessed gender differentiation on the determinants and intensity of adoption of Purdue-improved cowpea storage (PICS) bags in northern Nigeria. Primary data was collected via a well-questionnaire from Kano, Kaduna, Gombe, Bauchi, Plateau, and the Niger States. Each State was purposively selected based on the concentration and availability of female PICS bag users. From the sampling frame 2989, 20% of male and female small-scale cowpea farmers were randomly selected, totalling 598 cowpea farmers. Descriptive and double-hurdle regression models were used. The result of the socioeconomic analysis indicated that farmers' mean age was 42 years, with an average of 8 persons per household and a dependency ratio of 1.19. Years of schooling were 10 with a farming experience of 25 years and 2.17 ha as the average farm size. Results of the Logit model in males were significant for (extension contact, PICS information from other farmers and radio sources, and cowpea income, bags non-available) and for females (age, awareness, extension contact, PICS information from other farmers and radio source, bags non-available). The truncated regression model was significant in males (cowpea income) and females (education, output, and bags non-available). Adopting PICS bag technology by cowpea farming households enhanced female farmers' adoption. Therefore, policymakers should implement methods to motivate female farmers to adopt this technology further.

One significant issue in the Global South, particularly in sub-Saharan Africa, is youth unemployment. This is a result of the aging and shrinking agriculture industry, increased unemployment rates mixed with a sizable unskilled workforce, and rapid population expansion. Studies have shown that farming programs, when supported by increased investment and regulatory frameworks, provide opportunities for meaningful employment for many young people. This study attempts to estimate the impact of youth participation in farming programs on farm productivity and welfare using rice-growing household data from northern Nigeria. We used propensity score matching (PSM) and endogenous switching regression (ESR) to address biases that may arise from both observed and unobserved factors. Our results show that age, education, household size, farm size, extension, access to credit, and membership of a social group are positive and significantly associated with youth participation in farming programs. The outcome demonstrates that participants fare better than non-participants in terms of farm productivity and welfare status. Furthermore, youth participation in farming programs has implications for heterogeneity within the participant group, which depends on socio-economic characteristics such as access to finance, association membership, and education, emphasizing the need for specific interventions and focusing on particular youth groups. Therefore, access to credit through relevant agencies with low interest rates and flexible payment options, strengthening youth organization could encourage participation in farming programs and job opportunities for the prosperity of the rural economy.