COVID-19 and its impact on the profit of mango value chain actors.

The unprecedented impact of the pandemic on both activities and profit of actors draws out the various areas of the value chain that need to be strengthened to ensure resilience in the face of global shock. This study fills the gap by assessing the extent at which COVID-19 impacted the profit of mango value chain actors in southern Ghana. It also analyzed the governance structure and the existing linkages in the dissemination of market information in relation to the profit of the actors. A two-year panel survey on 240 respondents was conducted in 2020 through a multi-stage sampling technique in Greater Accra, Eastern and Volta regions of Ghana. Net Farm Income, Social Network Analysis and Difference-in-Difference models were used in analyzing the data. Findings revealed that mango processors have more bargaining power and make the most profit while producers receive more information than other actors. Farmer-based organizations were found to be the prominent node and influential in the dissemination of market information within the value chain. The outbreak of COVID-19 negatively impacted the profit of mango producers and distributors; however, processors had a positive impact on their profit. The study therefore demonstrated that producers and distributors were vulnerable to the effect of the COVID-19 shock, whilst processors were robust to the shocks. Thus, reformed policies by all stakeholders for emergency preparedness should be targeted especially at those vulnerable actors in the chain. Additionally, FBOs, retailers and other key stakeholders should be considered in policy development to enhance market information dissemination.

Welfare dynamics of innovations among agricultural households in Ghana: Implication for poverty reduction.

To reduce the high incidence of poverty in rural households, agricultural modernization using innovations has been pursued by governments and actors in the agricultural innovation system (AIS). This study analyzed how agricultural innovations and farmer-actor interactions in the AIS contribute to poverty outcomes among agricultural households in Ghana. Data used was the Ghana socio-economic panel survey data with 891 and 2595 observations for cocoa and maize households, respectively. The multinomial endogenous treatment effect model with instrumental variables was employed for the analysis. Adopting digital technologies in combination with other innovations, and having stronger farmer-actor interactions in the innovation system were associated with non-poor outcome in maize-growing households, who were poorer compared to cocoa-growing households. Innovations that consistently increased food security in both crop systems were associated with non-poor outcomes. The findings of the study highlight the need for governments and stakeholders to prioritize agricultural digitalization, encourage the adoption of multiple innovations and focus on food security-improving interventions as strategies to addressing rural poverty reduction.